diff --git a/package-lock.json b/package-lock.json index 0526795cb..b6437b2d9 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "weverify-plugin", - "version": "0.80", + "version": "0.81", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "weverify-plugin", - "version": "0.80", + "version": "0.81", "license": "ISC", "dependencies": { "@date-io/moment": "^2.17.0", @@ -21,6 +21,9 @@ "@types/chrome": "^0.0.266", "@wavesurfer/react": "^1.0.4", "axios": "^1.5.1", + "chart.js": "^4.4.3", + "chartjs-adapter-dayjs-4": "^1.0.4", + "clsx": "^2.1.1", "d3-selection": "^3.0.0", "dateformat": "^5.0.3", "dayjs": "^1.11.10", @@ -40,6 +43,7 @@ "mp4box": "^0.5.2", "prop-types": "^15.8.1", "react": "^18.2.0", + "react-chartjs-2": "^5.2.0", "react-dom": "^18.2.0", "react-gauge-chart": "^0.5.1", "react-hook-form": "^7.47.0", @@ -2813,6 +2817,11 @@ "@jridgewell/sourcemap-codec": "^1.4.14" } }, + "node_modules/@kurkle/color": { + "version": "0.3.2", + "resolved": "https://registry.npmjs.org/@kurkle/color/-/color-0.3.2.tgz", + "integrity": "sha512-fuscdXJ9G1qb7W8VdHi+IwRqij3lBkosAm4ydQtEmbY58OzHXqQhvlxqEkoz0yssNVn38bcpRWgA9PP+OGoisw==" + }, "node_modules/@leichtgewicht/ip-codec": { "version": "2.0.5", "resolved": "https://registry.npmjs.org/@leichtgewicht/ip-codec/-/ip-codec-2.0.5.tgz", @@ -5243,12 +5252,12 @@ } }, "node_modules/braces": { - "version": "3.0.2", - "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz", - "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==", + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", "dev": true, "dependencies": { - "fill-range": "^7.0.1" + "fill-range": "^7.1.1" }, "engines": { "node": ">=8" @@ -5471,6 +5480,29 @@ "node": ">=0.8.0" } }, + "node_modules/chart.js": { + "version": "4.4.3", + "resolved": "https://registry.npmjs.org/chart.js/-/chart.js-4.4.3.tgz", + "integrity": "sha512-qK1gkGSRYcJzqrrzdR6a+I0vQ4/R+SoODXyAjscQ/4mzuNzySaMCd+hyVxitSY1+L2fjPD1Gbn+ibNqRmwQeLw==", + "dependencies": { + "@kurkle/color": "^0.3.0" + }, + "engines": { + "pnpm": ">=8" + } + }, + "node_modules/chartjs-adapter-dayjs-4": { + "version": "1.0.4", + "resolved": "https://registry.npmjs.org/chartjs-adapter-dayjs-4/-/chartjs-adapter-dayjs-4-1.0.4.tgz", + "integrity": "sha512-yy9BAYW4aNzPVrCWZetbILegTRb7HokhgospPoC3b5iZ5qdlqNmXts2KdSp6AqnjkPAp/YWyHDxLvIvwt5x81w==", + "engines": { + "node": ">=10" + }, + "peerDependencies": { + "chart.js": ">=4.0.1", + "dayjs": "^1.9.7" + } + }, "node_modules/check-more-types": { "version": "2.24.0", "resolved": "https://registry.npmjs.org/check-more-types/-/check-more-types-2.24.0.tgz", @@ -8352,9 +8384,9 @@ "integrity": "sha512-P9bmyZ3h/PRG+Nzga+rbdI4OEpNDzAVyy74uVO9ATgzLK6VtAsYybF/+TOCvrc0MO793d6+42lLyZTw7/ArVzA==" }, "node_modules/fill-range": { - "version": "7.0.1", - "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz", - "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", "dev": true, "dependencies": { "to-regex-range": "^5.0.1" @@ -12580,6 +12612,15 @@ "node": ">=0.10.0" } }, + "node_modules/react-chartjs-2": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/react-chartjs-2/-/react-chartjs-2-5.2.0.tgz", + "integrity": "sha512-98iN5aguJyVSxp5U3CblRLH67J8gkfyGNbiK3c+l1QI/G4irHMPQw44aEPmjVag+YKTyQ260NcF82GTQ3bdscA==", + "peerDependencies": { + "chart.js": "^4.1.1", + "react": "^16.8.0 || ^17.0.0 || ^18.0.0" + } + }, "node_modules/react-dom": { "version": "18.3.1", "resolved": 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\u0639\u0645\u064a\u0642", "navbar_deepfake_video_description": " \u0645\u0635\u0646\u0641 \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u0639\u064a\u062f \u0627\u062d\u062a\u0645\u0627\u0644 \u0627\u062d\u062a\u0648\u0627\u0621 \u0645\u0642\u0637\u0639 \u0641\u064a\u062f\u064a\u0648 \u0639\u0644\u0649 \u0648\u062c\u0648\u0647 \u0645\u0639\u0627\u0644\u062c\u0629 \u0628\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a (\u062a\u0628\u062f\u064a\u0644 \u0627\u0644\u0648\u062c\u0647 \u0648\u0625\u0639\u0627\u062f\u0629 \u062a\u0645\u062b\u064a\u0644 \u0627\u0644\u0648\u062c\u0647) ", "navbar_synthetic_image_detection": "\u0643\u0627\u0634\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "navbar_synthetic_image_detection_description": "\u064a\u0633\u062a\u062e\u062f\u0645 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 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\u0628\u062d\u062b \u062f\u0644\u0627\u0644"} \ No newline at end of file diff --git a/public/locales/ar/components/NavItems/tools/Forensic.json b/public/locales/ar/components/NavItems/tools/Forensic.json index d6c3446a2..ebb8c454a 100644 --- a/public/locales/ar/components/NavItems/tools/Forensic.json +++ b/public/locales/ar/components/NavItems/tools/Forensic.json @@ -1 +1 @@ -{"forensic_title": "\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0631\u0642\u0645\u064a", "forensic_input": "\u0631\u0627\u0628\u0637 \u0639\u0646\u0648\u0627\u0646 URL \u0644\u0644\u0635\u0648\u0631\u0629", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "button_submit": "\u062a\u062d\u0644\u064a\u0644", "cardheader_source": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0623\u0648 \u0627\u0644\u0645\u0644\u0641", "linkmode_title": "\u062d\u0627\u0644\u0629 \u0627\u0644\u0631\u0627\u0628\u0637", "linkmode_description": 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\u0628\u0647 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u0631\u062a\u064a\u0646 \u060c \u0628\u064a\u0646\u0645\u0627 \u064a\u062a\u0645 \u0636\u063a\u0637 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0645\u062f\u0631\u062c\u0629 \u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629 \u0641\u0642\u0637. \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0629 \u060c \u064a\u062c\u0628 \u0623\u0646 \u062a\u0638\u0647\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0644\u0639\u0628\u062b \u0628\u0647\u0627 \u0628\u0644\u0648\u0646 \u0641\u0627\u062a\u062d (\u0627\u0646\u0638\u0631 \u0627\u0644\u0645\u0642\u064a\u0627\u0633) \u0628\u064a\u0646\u0645\u0627 \u062a\u0638\u0644 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u062f\u0627\u0643\u0646\u0629. \u0641\u064a \u062d\u0627\u0644\u0629 \u0648\u062c\u0648\u062f \u0623\u0644\u0648\u0627\u0646 \u0623\u062e\u0631\u0649 (\u0627\u0644\u0623\u062e\u0636\u0631 \u0648\u0627\u0644\u0623\u0632\u0631\u0642) \u0641\u0644\u0627 \u064a\u0645\u0643\u0646 \u0627\u0644\u062a\u0648\u0635\u0644 \u0625\u0644\u0649 \u0623\u064a \u0627\u0633\u062a\u0646\u062a\u0627\u062c. \u0623\u064a\u0636\u0627\u060c \u064a\u062c\u0628 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0630\u0627\u062a \u0627\u0644\u0623\u0644\u0648\u0627\u0646 \u0630\u0627\u062a \u0634\u0643\u0644: \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644 \u0646\u0642\u0627\u0637 \u0627\u0644\u0636\u0648\u0621 \u0627\u0644\u0632\u0627\u0626\u0641\u0629 \u0627\u0644\u0645\u0646\u062a\u0634\u0631\u0629 \u0639\u0628\u0631 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_ela_report": "\u064a\u062a\u0645 \u0625\u0646\u062a\u0627\u062c \u062a\u062d\u0644\u064a\u0644 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u062e\u0637\u0623 \u0639\u0646 \u0637\u0631\u064a\u0642 \u0625\u0639\u0627\u062f\u0629 \u0636\u063a\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u062a\u0646\u0633\u064a\u0642 JPEG \u0628\u062c\u0648\u062f\u0629 75 \u0648\u0637\u0631\u062d \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062c\u062f\u064a\u062f\u0629 \u0645\u0646 \u0627\u0644\u0642\u062f\u064a\u0645\u0629. \u062b\u0645 \u064a\u062a\u0645 \u062a\u062d\u0633\u064a\u0646 \u0635\u0648\u0631\u0629 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641\u0627\u062a \u0627\u0644\u0646\u0627\u062a\u062c\u0629 \u0648\u0639\u0631\u0636\u0647\u0627. \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0647\u064a \u062a\u0644\u0643 \u0630\u0627\u062a \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0623\u0639\u0644\u0649 \u0645\u0646 \u0627\u0644\u0623\u062c\u0632\u0627\u0621 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0641\u0642\u0637 \u060c \u0623\u064a \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062d\u0648\u0627\u0641 \u0628\u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0627\u0644\u0642\u0648\u0627\u0645 \u0628\u0627\u0644\u0642\u0648\u0627\u0645 \u060c \u0648\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629 \u0628\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629. \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0644\u0648\u0646\u064a\u0629 (\u0639\u0627\u062f\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0632\u0631\u0642\u0627\u0621) \u0645\u0634\u0628\u0648\u0647\u0629 \u0628\u0634\u0643\u0644 \u0639\u0627\u0645. ELA \u0647\u0648 \u0645\u062d\u0633\u0646 \u0648\u0644\u0627 \u064a\u0643\u0641\u064a \u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062a\u0632\u0648\u064a\u0631 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_median_report": "\u064a\u0639\u062a\u0645\u062f \u0645\u062a\u0648\u0633\u0637 \u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0639\u0644\u0649 \u0639\u0632\u0644 \u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u0631\u0626\u064a\u0629 \u062a\u0642\u0631\u064a\u0628\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629. \u0639\u0646\u062f \u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u060c \u0641\u0625\u0646 \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0647\u064a \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0631\u062c\u0639 \u0642\u064a\u0645\u0627 \u0623\u0639\u0644\u0649 (\u0623\u064a \u0623\u0643\u062b\u0631 \u0625\u0634\u0631\u0627\u0642\u0627) \u0645\u0646 \u0627\u0644\u0623\u062c\u0632\u0627\u0621 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0641\u0642\u0637 \u060c \u0623\u064a \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062d\u0648\u0627\u0641 \u0628\u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0627\u0644\u0642\u0648\u0627\u0645 \u0628\u0627\u0644\u0642\u0648\u0627\u0645 \u060c \u0648\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629 \u0628\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629. \u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0648\u0633\u0627\u0626\u0637 \u0647\u064a \u0645\u062d\u0633\u0646 \u0648\u0644\u0627 \u062a\u0643\u0641\u064a \u0644\u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0628\u0634\u0623\u0646 \u062a\u0632\u0648\u064a\u0631 \u0627\u0644\u0635\u0648\u0631\u0629", "forensic_card_dct_report": "\u0639\u0646\u062f\u0645\u0627 \u064a\u062d\u062f\u062b \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0641\u064a \u0635\u0648\u0631\u0629 JPEG \u060c \u0642\u062f \u062a\u0643\u0648\u0646 \u0645\u0639\u0627\u0645\u0644\u0627\u062a \u062a\u062d\u0648\u064a\u0644 COSINUS \u0627\u0644\u0645\u0646\u0641\u0635\u0644\u0629 (DCT) (\u0639\u0645\u0644\u064a\u0629 \u0631\u064a\u0627\u0636\u064a\u0629) \u0645\u0636\u0637\u0631\u0628\u064b\u0627 \u0645\u062d\u0644\u064a\u064b\u0627. \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0628\u0631\u0632 (\u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u062e\u0636\u0631\u0627\u0621) \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621 \u0645\u0639 \u0627\u0644\u062a\u0644\u0627\u0639\u0628. \u0642\u062f \u064a\u0644\u0645\u062d \u0627\u0644\u0639\u0643\u0633 \u0623\u064a\u0636\u064b\u0627 \u0625\u0644\u0649 \u0627\u0644\u062a\u0644\u0627\u0639\u0628\u060c \u0623\u064a \u0628\u0639\u0636 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0638\u0647\u0631 \u0623\u0643\u062b\u0631 \u0632\u0631\u0642\u0629 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621.", "forensic_card_cagiNormal": "\u064a\u0639\u0645\u0644 \u0636\u063a\u0637 JPEG \u0641\u064a \u0634\u0628\u0643\u0629 8 \u0641\u064a 8 \u060c \u0648\u0647\u0648 \u0634\u0628\u0647 \u0645\u0631\u0626\u064a \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647. \u0642\u062f \u064a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 \u0623\u0648 \u0646\u0642\u0644 \u062c\u0632\u0621 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0625\u0644\u0649 \u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u064b\u0627. \u062a\u0633\u0639\u0649 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0625\u0644\u0649 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0645\u062b\u0644 \u0647\u0630\u0647 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a\u060c \u0648\u062a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u064a\u0647\u0627 \u0645\u062d\u0644\u064a\u064b\u0627. \u062a\u0646\u062a\u062c \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0646\u0642\u0637\u0627\u062a \u0627\u0644\u0645\u062d\u0644\u064a\u0629 \u0627\u0644\u0628\u064a\u0636\u0627\u0621/\u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0623\u0648 \u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0623\u0648 \u0627\u0644\u0623\u0632\u0631\u0642 \u0627\u0644\u0641\u0627\u062a\u062d \u062d\u064a\u062b \u062a\u0643\u062a\u0634\u0641 \u062a\u0628\u0627\u064a\u0646\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0628\u0634\u0643\u0644 \u0639\u0627\u0645\u060c \u062a\u0643\u0648\u0646 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0623\u0642\u0644 \u062a\u0634\u062a\u064a\u062a\u064b\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0642\u0648\u0627\u0645 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u060c \u0648\u062a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0636\u0637\u0631\u0627\u0628\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u0646\u0628\u063a\u064a \u062a\u0641\u0633\u064a\u0631\u0647\u0627 \u0641\u064a \u0627\u0644\u063a\u0627\u0644\u0628 \u0645\u0639 \u0627\u0644\u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u062a\u064a \u062a\u0628\u0631\u0632 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642.", "forensic_card_cagiInversed": "\u064a\u0639\u0645\u0644 \u0636\u063a\u0637 JPEG \u0641\u064a \u0634\u0628\u0643\u0629 8 \u00d7 8 \u060c \u0648\u0647\u064a \u0634\u0628\u0647 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647\u0627. \u0642\u062f \u062a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 \u062c\u0632\u0621 \u0623\u0648 \u0646\u0642\u0644\u0647 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0625\u0644\u0649 \u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u0627. \u062a\u0639\u062f \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 GRIDS-Inverse \u0645\u0643\u0645\u0644\u0629 \u0644 GRIDS \u0641\u064a \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0645\u062b\u0644 \u0647\u0630\u0647 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a. \u062a\u0646\u062a\u062c \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \"\u0646\u0642\u0627\u0637\" \u0632\u0631\u0642\u0627\u0621 \u0645\u062d\u0644\u064a\u0629 \u062d\u064a\u062b \u062a\u0643\u062a\u0634\u0641 \u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0628\u0634\u0643\u0644 \u0639\u0627\u0645\u060c \u062a\u0643\u0648\u0646 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 GRIDS \u0623\u0642\u0644 \u062a\u0634\u062a\u064a\u062a\u0627 \u0628\u0633\u0628\u0628 \u0627\u0644\u0642\u0648\u0627\u0645 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629\u060c \u0648\u062a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0636\u0637\u0631\u0627\u0628\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u062c\u0628 \u062a\u0641\u0633\u064a\u0631\u0647 \u0641\u064a \u0627\u0644\u063a\u0627\u0644\u0628 \u0628\u0627\u0644\u0627\u0642\u062a\u0631\u0627\u0646 \u0645\u0639 \u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u062a\u064a \u062a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642.", "forensic_card_wavelet_report": "\u062a\u062d\u0645\u0644 \u0643\u0644 \u0635\u0648\u0631\u0629 \u0636\u0648\u0636\u0627\u0621 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u0631\u062f\u062f \u0646\u0627\u062a\u062c\u0629 \u0639\u0646 \u0639\u0645\u0644\u064a\u0629 \u0627\u0644\u0627\u0644\u062a\u0642\u0627\u0637 \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0627\u0644\u0636\u063a\u0637. \u062a\u0642\u0648\u0645 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u0648\u064a\u062c\u064a\u0629 \u0627\u0644\u0645\u0646\u0641\u0635\u0644\u0629 \u0628\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0648\u062d\u0633\u0627\u0628 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u062d\u0644\u064a \u0641\u064a \u0643\u0644 \u062c\u0632\u0621 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u062e\u062a\u0644\u0641 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0627\u0644\u0642\u0648\u064a\u060c \u0648\u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0646\u0634\u0623 \u0645\u0646 \u0635\u0648\u0631 \u0623\u062e\u0631\u0649. \u0646\u0638\u0631\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u063a\u0627\u0644\u0628\u0627 \u0645\u0627 \u062a\u0643\u0648\u0646 \u0645\u0636\u0644\u0644\u0629 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\u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u0627. \u062a\u0643\u062a\u0634\u0641 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 BLOCK \u0634\u0628\u0643\u0629 \u0627\u0644\u0635\u0648\u0631 \u0648\u062a\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0645\u062d\u0644\u064a\u0629. \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0623\u064a \u0645\u0646\u0637\u0642\u0629 \u0645\u062a\u0645\u0627\u0633\u0643\u0629 \u0630\u0627\u062a \u0644\u0648\u0646 \u0645\u062e\u062a\u0644\u0641 \u0639\u0646 \u0645\u062d\u064a\u0637\u0647\u0627 \u0645\u0639 \u0627\u0644\u0639\u0628\u062b \u060c \u0639\u0644\u0649 \u0627\u0644\u0631\u063a\u0645 \u0645\u0646 \u0623\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0648\u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0641\u0627\u062a\u062d \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u062f\u0627\u0643\u0646\u0629 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\u0625\u0639\u0627\u062f\u0629 \u0636\u063a\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0635\u0641\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0648\u0637\u0631\u062d \u0643\u0644 \u0645\u0646\u0647\u0627 \u0645\u0646 \u0627\u0644\u0623\u0635\u0644. \u062a\u062a\u0645 \u0645\u0639\u0627\u0644\u062c\u0629 \u0635\u0648\u0631 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641 \u0627\u0644\u0646\u0627\u062a\u062c\u0629 \u0628\u0639\u062f \u0630\u0644\u0643 \u0644\u0625\u0628\u0631\u0627\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0628\u0627\u0631\u0632\u0629 \u0648\u0627\u0644\u062a\u064a \u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0646\u0634\u0623 \u0645\u0646 \u0635\u0648\u0631\u0629 JPEG \u0645\u062e\u062a\u0644\u0641\u0629. \u0628\u0639\u062f \u0630\u0644\u0643 \u060c \u064a\u062a\u0645 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0646\u062a\u0627\u0626\u062c \u0645\u062b\u064a\u0631\u0629 \u0644\u0644\u0627\u0647\u062a\u0645\u0627\u0645 (\u0623\u064a \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u062a\u0645\u064a\u0632 \u0628\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0645\u062d\u0644\u064a\u0629). \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0633\u0642\u0629 \u0627\u0644\u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0627\u0644\u0641\u0627\u062a\u062d\u0629 \u0623\u0648 \u0627\u0644\u0632\u0631\u0642\u0627\u0621 \u0627\u0644\u0641\u0627\u062a\u062d\u0629 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621 \u0645\u0639 \u0622\u062b\u0627\u0631 \u0627\u0644\u0639\u0628\u062b \u060c \u062e\u0627\u0635\u0629 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0644\u0627 \u062a\u062a\u0648\u0627\u0641\u0642 \u0645\u0639 \u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0644\u0643\u0646 \u0645\u0639 \u0645\u0646\u0627\u0637\u0642 \u0628\u0623\u0643\u0645\u0644\u0647\u0627.", "applied_filter": "\u0627\u0644\u0641\u0644\u062a\u0631 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645", "apply_filter": "\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0641\u0644\u062a\u0631", "forensic_title_none": "\u0644\u0627 \u0634\u064a\u0621", "clear_filter": "\u0645\u0633\u062d \u0627\u0644\u0641\u0644\u062a\u0631", "forensic_ratio_b_landscape": "\u0635\u0648\u0631\u0629 \u0628\u0648\u0631\u062a\u0631\u064a\u0647", "forensic_ratio_b_portrait": "\u0635\u0648\u0631\u0629 \u0623\u0641\u0642\u064a\u0629", "forensic_title_cmfd_report": "CMFD", "forensic_title_fusion_report": "\u0627\u0644\u062f\u0645\u062c", "forensic_title_mantranet_report": "Mantranet", "forensic_title_splicebuster_report": "Splicebuster", "forensic_title_zero_report": "\u0635\u0641\u0631", "forensic_title_laplacian_report": "\u0644\u0627\u0628\u0644\u0627\u0633\u064a\u0627\u0646", "forensic_title_rcmfd_report": "RCMFD", "forensic_family_compression_title": "\u0636\u063a\u0637", "forensic_family_compression_description": "\u062a\u0643\u062a\u0634\u0641 \u0647\u0630\u0647 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0644\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0635\u0648\u0631\u0629 \u0648\u0636\u063a\u0637\u0647\u0627. \u0625\u0630\u0627 \u062a\u0645\u062a \u0625\u0632\u0627\u0644\u0629 \u0639\u0646\u0635\u0631 \u062c\u062f\u064a\u062f \u0623\u0648 \u0625\u0636\u0627\u0641\u062a\u0647 \u0625\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629 \u060c \u0641\u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647 \u0625\u0630\u0627 \u0643\u0627\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0636\u063a\u0637 \u0645\u062e\u062a\u0644\u0641 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_compression_look": "\u0645\u0632\u064a\u062c \u0645\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062f\u062f \u0627\u0644\u0623\u0628\u064a\u0636 \u0623\u0648 \u0627\u0644\u0623\u062e\u0636\u0631 \u062f\u0627\u062e\u0644 \u0645\u0633\u0627\u062d\u0629 \u0645\u0634\u062a\u0631\u0643\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_compression_ignore": "\u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0648\u0644\u062f \u0627\u0644\u0642\u0648\u0627\u0645 \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0644\u0623\u062c\u0632\u0627\u0621 \u0623\u0648 \u0645\u0646\u0627\u0637\u0642 \u0645\u0634\u0628\u0639\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0643\u0627\u0630\u0628\u0629.", "forensic_family_noise_title": "\u0627\u0644\u0622\u062b\u0627\u0631", "forensic_family_noise_description": "\u062a\u0642\u0648\u0645 \u0647\u0630\u0647 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0628\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0622\u062b\u0627\u0631 \u0627\u0644\u062a\u064a \u062e\u0644\u0641\u062a\u0647\u0627 \u0633\u0644\u0633\u0644\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0643\u0627\u0645\u064a\u0631\u0627. \u064a\u0645\u0643\u0646\u0647\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u0644\u0627 \u062a\u062a\u0641\u0642 \u0641\u064a\u0647\u0627 \u0622\u062b\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u064a\u0631\u0627 \u0645\u0639 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_noise_look": "\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0645\u0646 \u0642\u0633\u0645 \u0648\u0627\u0636\u062d \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_noise_ignore": "\u064a\u0645\u0643\u0646 \u0644\u0644\u0642\u0648\u0627\u0645 \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0644\u062c\u0632\u0621 \u0623\u0648 \u0645\u0646\u0627\u0637\u0642 \u0645\u0634\u0628\u0639\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 (\u0627\u0644\u0623\u0642\u0633\u0627\u0645 \u0627\u0644\u0633\u0648\u062f\u0627\u0621 \u0623\u0648 \u0627\u0644\u0628\u064a\u0636\u0627\u0621) \u062a\u0648\u0644\u064a\u062f \u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0643\u0627\u0630\u0628\u0629.", "forensic_family_ai_title": "\u062a\u0639\u0644\u0645 \u0639\u0645\u064a\u0642(Deep learning)", "forensic_family_ai_description": "\u064a\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0623\u0633\u0627\u0644\u064a\u0628 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u0644\u0643\u0634\u0641 \u0639\u0646 \u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0627\u0644\u0635\u0648\u0631 \u0628\u0646\u0638\u0627\u0645 \u062a\u0645 \u062a\u062f\u0631\u064a\u0628\u0647 \u0628\u0639\u062f\u062f \u0643\u0628\u064a\u0631 \u0645\u0646 \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0645\u0632\u064a\u0641\u0629.", "forensic_family_ai_look": "\u0623\u0642\u0633\u0627\u0645 \u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0648\u064a\u0627\u062a \u0623\u0648 \u0627\u0644\u0645\u0648\u0627\u0636\u064a\u0639 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0645\u064a\u0632\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636.", "forensic_family_ai_ignore": "\u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644 \u0627\u0644\u0645\u0642\u0627\u0637\u0639 \u0627\u0644\u0645\u0638\u0644\u0645\u0629.", "forensic_family_cloning_title": "\u0627\u0633\u062a\u0646\u0633\u0627\u062e", "forensic_family_cloning_description": "\u062a\u0643\u062a\u0634\u0641 \u062a\u0644\u0643 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0639\u0646\u0627\u0635\u0631 \u062a\u0645 \u0646\u0633\u062e\u0647\u0627 \u0648\u0646\u0642\u0644\u0647\u0627 \u062f\u0627\u062e\u0644 \u062a\u0644\u0643 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u0646 \u0623\u062c\u0644 \u0627\u0644\u062a\u0632\u064a\u064a\u0641.", "forensic_family_cloning_look": "CMFD - \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0628\u064a\u0636\u0627\u0621 \u0647\u064a \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0646\u0633\u062e\u0647\u0627 \u0648\u0646\u0642\u0644\u0647\u0627 \u0648\u0642\u062f \u062a\u0645\u062b\u0644 \u0645\u0635\u062f\u0631 \u0627\u0644\u0639\u0646\u0635\u0631 \u0627\u0644\u0630\u064a \u062a\u0645 \u0627\u0633\u062a\u0646\u0633\u0627\u062e\u0647 RCMFD - \u062e\u0637\u0648\u0637 \u062d\u0645\u0631\u0627\u0621 \u0628\u064a\u0646 \u0623\u062c\u0632\u0627\u0621 \u0645\u0645\u0627\u062b\u0644\u0629 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u062a\u0643\u0634\u0641 \u0639\u0646 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0633\u062a\u0646\u0633\u0627\u062e\u0647\u0627.", "forensic_family_cloning_ignore": "\u062a\u062c\u0627\u0647\u0644 \u0627\u0644\u0623\u0642\u0633\u0627\u0645 \u0627\u0644\u0645\u062a\u0628\u0642\u064a\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0648\u0635\u0641 \u0623\u0639\u0644\u0627\u0647.", "forensic_filters_explanation": "\u062a\u0647\u062f\u0641 \u062c\u0645\u064a\u0639 \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0623\u062f\u0646\u0627\u0647 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0623\u0648 \u0627\u0644\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0646\u0634\u0626 \u0635\u0648\u0631\u0629 \u0645\u0632\u064a\u0641\u0629. \u064a\u062a\u0645 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0641\u064a \u0639\u0627\u0626\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0646\u0627\u0621 \u0639\u0644\u0649 \u0637\u0631\u064a\u0642\u062a\u0647\u0627 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629. \u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0644\u064a\u0633\u062a \u0645\u062b\u0627\u0644\u064a\u0629\u060c \u0648\u064a\u0645\u0643\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0621 \u0628\u0639\u0636 \u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0627\u0644\u062e\u0627\u0637\u0626\u0629 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644\u0647\u0627. \u0644\u0644\u0645\u0633\u0627\u0639\u062f\u0629 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0639\u0645\u0644\u064a\u0629\u060c \u064a\u062a\u0645 \u0639\u0631\u0636 \u0634\u0631\u062d \u0645\u0648\u062c\u0632 \u0644\u0644\u0639\u0627\u0626\u0644\u0629 \u0648\u0627\u0644\u0623\u0634\u064a\u0627\u0621 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u0627\u0644\u0646\u0638\u0631 \u0625\u0644\u064a\u0647\u0627 \u0623\u0648 \u0627\u0644\u0623\u0634\u064a\u0627\u0621 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644\u0647\u0627 \u0623\u0633\u0641\u0644 \u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062a\u0635\u0641\u064a\u0629. \u0639\u0627\u062f\u0629\u060c \u062a\u0638\u0647\u0631 \u062c\u0645\u064a\u0639 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0627\u0644\u0645\u062d\u062a\u0645\u0644\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062d\u0645\u0631 \u0648\u0644\u064a\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u062f\u0644\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0632\u0631\u0642. \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u063a\u0628 \u0641\u064a \u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0645\u0632\u064a\u062f\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0644 \u0625\u0644\u0649 \u0648\u062b\u0627\u0626\u0642\u0646\u0627 \u0627\u0644\u0645\u0648\u0633\u0639\u0629.", "forensic_lenses_explanation": "\u062a\u0633\u0627\u0639\u062f\u0643 \u0627\u0644\u0645\u0639\u0632\u0632\u0627\u062a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0623\u062f\u0646\u0627\u0647 \u0639\u0644\u0649 \u0627\u0644\u0646\u0638\u0631 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644 \u0641\u064a \u062d\u0648\u0627\u0641 \u0627\u0644\u0635\u0648\u0631\u0629. \u0625\u0646\u0647\u0627 \u0644\u064a\u0633\u062a \u0643\u0627\u0641\u064a\u0629 \u0644\u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062d\u0648\u0644 \u0627\u0644\u062a\u0632\u0648\u064a\u0631\u060c \u0648\u0644\u0643\u0646 \u0625\u0630\u0627 \u0631\u0623\u064a\u062a \u0645\u0646\u0637\u0642\u0629 \u0645\u0634\u0628\u0648\u0647\u0629\u060c \u0641\u064a\u062c\u0628 \u0639\u0644\u064a\u0643 \u0625\u0644\u0642\u0627\u0621 \u0646\u0638\u0631\u0629 \u0639\u0644\u0649 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0641\u064a \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0639\u0644\u0649 \u0627\u0644\u064a\u0645\u064a\u0646.", "forensic_title_image": "\u0635\u0648\u0631\u0629 \u062a\u0645 \u062a\u062d\u0644\u064a\u0644\u0647\u0627", "forensic_button_newImage": "\u0635\u0648\u0631\u0629 \u062c\u062f\u064a\u062f\u0629", "forensic_title_what": "\u0645\u0627 \u0647\u0630\u0627\u061f", "forensic_title_filters": "\u0627\u0644\u0641\u0644\u0627\u062a\u0631", "forensic_title_lenses": "\u0627\u0644\u0645\u0639\u0632\u0632\u0627\u062a", "forensic_input_placeholder": "\u0627\u0644\u0635\u0642 \u0627\u0644\u0631\u0627\u0628\u0637 \u0647\u0646\u0627", "forensic_button_download": "\u062a\u062d\u0645\u064a\u0644", "forensic_text_speed": "\u0633\u0631\u0639\u0629 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0645\u062a\u062d\u0631\u0643\u0629", "forensic_title_export": "\u0642\u0645 \u0628\u062a\u0635\u062f\u064a\u0631 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0628\u0635\u064a\u063a\u0629 GIF", "forensic_text_fast": "\u0633\u0631\u064a\u0639", "forensic_text_slow": "\u0628\u0637\u064a\u0621", "forensic_text_detection": "\u0643\u0634\u0641 \u062a\u0644\u0627\u0639\u0628", "forensic_text_nodetection": "\u0644\u0627 \u062a\u0644\u0627\u0639\u0628", "forensic_tosast_clipboard": "\u0639\u0646\u0648\u0627\u0646 URL \u0644\u0644\u0635\u0648\u0631\u0629 \u064a\u062a\u0645 \u0646\u0633\u062e\u0647 \u0641\u064a \u0627\u0644\u062d\u0627\u0641\u0638\u0629", "forensic_card_zero_report": "\u0639\u0646\u062f\u0645\u0627 \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0645\u0646\u0637\u0642\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636\u060c \u0641\u0647\u0630\u0627 \u064a\u0639\u0646\u064a \u0623\u0646 \u0644\u0647\u0627 \u0645\u0648\u0636\u0639 \u0634\u0628\u0643\u0629 JPEG \u0645\u062e\u062a\u0644\u0641\u0627 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629. \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0641\u0627\u062a\u062d \u060c \u0641\u0647\u0630\u0627 \u064a\u0639\u0646\u064a \u0623\u0646 \u0627\u0644\u0634\u0628\u0643\u0629 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0642\u062f \u062a\u0639\u0637\u0644\u062a. \u0644\u0630\u0644\u0643 \u060c \u064a\u0645\u0643\u0646 \u0627\u0639\u062a\u0628\u0627\u0631\u0647\u0627 \u062a\u0632\u0648\u064a\u0631\u0627 \u0646\u0627\u062a\u062c\u0627 \u0639\u0646 \u0645\u062d\u0648 \u0623\u0648 \u0646\u0642\u0644 \u0646\u0633\u062e \u062e\u0627\u0631\u062c\u064a \u0623\u0648 \u062f\u0627\u062e\u0644\u064a. \u064a\u0639\u0646\u064a \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0633\u0648\u062f \u0623\u0646\u0647 \u0644\u0645 \u064a\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0623\u064a \u0634\u0628\u0643\u0629 JPEG \u063a\u064a\u0631 \u0637\u0628\u064a\u0639\u064a\u0629.", "forensic_card_laplacian_report": "\u064a\u0638\u0647\u0631 \u0644\u0627\u0628\u0644\u0627\u0633\u064a\u0627\u0646 \u062a\u0631\u062f\u062f\u0627\u062a \u0639\u0627\u0644\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u062b\u0644 \u0627\u0644\u062d\u062f\u0648\u062f. \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u062c\u0639\u0644 \u0628\u0639\u0636 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u062a\u0638\u0647\u0631 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0625\u0638\u0647\u0627\u0631 \u062d\u062f\u0648\u062f \u0645\u062d\u0648 \u0623\u0648 \u0644\u0635\u0642 \u0645\u0627. \u0647\u0630\u0627 \u0644\u064a\u0633 \u0643\u0627\u0634\u0641 \u062a\u0632\u0648\u064a\u0631 \u0641\u064a \u062d\u062f \u0630\u0627\u062a\u0647 \u060c \u064a\u0644\u0632\u0645 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0628\u0635\u0631\u064a \u0644\u062a\u0641\u0633\u064a\u0631 \u0646\u062a\u0627\u0626\u062c\u0647.", "forensic_card_splicebuster_report": "\u062a\u062d\u0645\u0644 \u0643\u0644 \u0635\u0648\u0631\u0629 \u0636\u0648\u0636\u0627\u0621 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0646\u062a\u064a\u062c\u0629 \u0644\u062e\u0637 \u0623\u0646\u0627\u0628\u064a\u0628 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631. \u064a\u062a\u0645 \u062a\u0642\u062f\u064a\u0631 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 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\u0639\u0644\u0627\u0648\u0629 \u0639\u0644\u0649 \u0630\u0644\u0643 \u060c \u064a\u062c\u0628 \u062a\u0648\u062e\u064a \u0627\u0644\u062d\u0630\u0631 \u0641\u064a \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0634\u0628\u0639\u0629. \u0639\u0646\u062f\u0645\u0627 \u0644\u0627 \u064a\u062a\u0645 \u0625\u062e\u0641\u0627\u0624\u0647\u0627 \u062a\u0644\u0642\u0627\u0626\u064a\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u060c \u0641\u0642\u062f \u064a\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641\u0647\u0627 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0645\u0632\u0648\u0631\u0629 \u062d\u062a\u0649 \u0639\u0646\u062f\u0645\u0627 \u062a\u0643\u0648\u0646 \u0623\u0635\u0644\u064a\u0629.", "forensic_card_mantranet_report": "Mantra-Net \u0647\u0648 \u0646\u0647\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0644\u0644\u0643\u0634\u0641 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\u0639\u0645\u064a\u0642 \u064a\u062c\u0645\u0639 \u0628\u064a\u0646 \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u0648\u064a\u0648\u0641\u0631 \u062a\u0648\u0637\u064a\u0646 \u0634\u0627\u0645\u0644. \u064a\u062c\u0628 \u0623\u0646 \u062a\u0638\u0647\u0631 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u0628\u0623\u0629 \u0643\u0645\u0646\u0627\u0637\u0642 \u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u062e\u0636\u0631\u0627\u0621 \u062e\u0636\u0631\u0627\u0621 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0623\u063a\u0645\u0642.", "forensic_card_cmfd_report": "\u0647\u0630\u0627 \u0647\u0648 \u0646\u0647\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0639\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062a\u0632\u0648\u064a\u0631 \u0646\u0633\u062e. \u0648\u062d\u062f\u0627\u062a \u0627\u0644\u0628\u0643\u0633\u0644 \u0627\u0644\u0645\u0638\u0644\u0645\u0629 \u0623\u0635\u0644\u064a\u0629 \u0648\u062a\u0633\u062a\u0647\u062f\u0641 \u062a\u0644\u0643 \u0630\u0627\u062a \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0641\u0627\u062a\u062d \u0646\u0633\u062e\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u062f\u0627\u062e\u0644 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_rcmfd_report": "\u064a\u0639\u062a\u0645\u062f \u0643\u0627\u0634\u0641 \u062a\u0632\u0648\u064a\u0631 \u0646\u0633\u062e \u0642\u0648\u064a \u0639\u0644\u0649 \u0637\u0631\u064a\u0642\u0629 SIFT. \u064a\u0631\u0628\u0637 \u0627\u0644\u0643\u0627\u0634\u0641 \u0623\u062c\u0632\u0627\u0621 \u0645\u0645\u0627\u062b\u0644\u0629 (\u0648\u0627\u0644\u062a\u064a \u0644\u064a\u0633\u062a \u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0628\u0634\u0643\u0644 \u0637\u0628\u064a\u0639\u064a) \u0645\u0639 \u062e\u0637\u0648\u0637 \u062d\u0645\u0631\u0627\u0621. \u0644\u0627 \u062a\u0643\u062a\u0634\u0641 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0645\u062d\u062a\u0648\u0649 \u0627\u0644\u0623\u0635\u0644\u064a \u0645\u0646 \u0627\u0644\u0645\u0632\u0648\u0631.", "forensic_title_cfa_report": "CFA", "forensic_card_cfa_report": "\u064a\u0645\u0643\u0646 \u0644\u0644\u0643\u0627\u0645\u064a\u0631\u0627 \u0645\u0639\u0627\u064a\u0646\u0629 \u0644\u0648\u0646 \u0648\u0627\u062d\u062f \u0641\u0642\u0637 \u0644\u0643\u0644 \u0628\u0643\u0633\u0644\u060c \u0641\u0647\u064a \u062a\u0641\u062d\u0635 \u0623\u0644\u0648\u0627\u0646\u064b\u0627 \u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0628\u0643\u0633\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u062a\u0642\u062f\u0631 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0645\u0646 \u0648\u062d\u062f\u0627\u062a \u0627\u0644\u0628\u0643\u0633\u0644 \u0627\u0644\u0645\u062d\u064a\u0637\u0629. \u062a\u064f\u0639\u0631\u0641 \u0647\u0630\u0647 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\u0627\u0644\u062a\u0632\u064a\u064a\u0646 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a\u060c \u0641\u0625\u0646\u0647 \u064a\u062a\u0637\u0644\u0628 \u0635\u0648\u0631\u064b\u0627 \u0630\u0627\u062a \u062c\u0648\u062f\u0629 \u0645\u0645\u062a\u0627\u0632\u0629.", "forensic_text_hoverinfo": "\u0645\u0631\u0631 \u0645\u0624\u0634\u0631 \u0627\u0644\u0645\u0627\u0648\u0633 \u0641\u0648\u0642 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0644\u0631\u0624\u064a\u0629 \u063a\u0637\u0627\u0621 \u0634\u0641\u0627\u0641 \u0645\u0639 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629", "forensic_title_mmfusion_report": "MM-Fusion", "forensic_card_mmfusion_report": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 MM-Fusion \u062a\u0643\u062a\u0634\u0641 \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0635\u0631\u064a\u064b\u0627. \u062a\u0648\u0641\u0631 \u0642\u0646\u0627\u0639 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0632\u0648\u064a\u0631 \u060c \u0627\u0644\u0630\u064a \u064a\u0628\u0631\u0632 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 / \u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0628\u0627\u0647\u062a \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u062f\u0644\u0629 \u060c \u0628\u064a\u0646\u0645\u0627 \u062a\u0638\u0644 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0633\u0648\u062f. \u0644\u062a\u062d\u0642\u064a\u0642 \u0630\u0644\u0643 \u060c \u0641\u0647\u0648 \u064a\u062c\u0645\u0639 \u0625\u062e\u0631\u0627\u062c \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062d\u0633\u0627\u0633\u0629 \u0644\u0644\u0636\u0648\u0636\u0627\u0621 \u060c \u0645\u0646 \u0623\u062c\u0644 \u0627\u0644\u062a\u0642\u0627\u0637 \u0622\u062b\u0627\u0631 \u0645\u062e\u062a\u0644\u0641\u0629 \u062a\u0631\u0643\u062a\u0647\u0627 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u062a\u0644\u0627\u0639\u0628. \u0648\u0631\u0642\u0629 \u0630\u0627\u062a \u0635\u0644\u0629:Triaridis, K., & Mezaris, V. (2023). Exploring Multi-Modal Fusion for Image Manipulation Detection and Localisation. arXiv preprint arXiv:2312.0179. \u062a\u0645 \u062f\u0639\u0645 \u062a\u0637\u0648\u064a\u0631 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u0642\u0628\u0644 \u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u0627\u0628\u062a\u0643\u0627\u0631 Horizon 2020 \u0627\u0644\u062a\u0627\u0628\u0639 \u0644\u0644\u0627\u062a\u062d\u0627\u062f \u0627\u0644\u0623\u0648\u0631\u0648\u0628\u064a \u0628\u0645\u0648\u062c\u0628 \u0627\u062a\u0641\u0627\u0642\u064a\u0629 \u0627\u0644\u0645\u0646\u062d\u0629 \u0631\u0642\u0645H2020-101021866 CRiTERI ", "forensic_title_trufor_report": "TruFor", "forensic_card_trufor_report": "\u062a\u0643\u062a\u0634\u0641 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 TruFor \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 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OMGFuser \u062d\u0627\u0644\u064a\u064b\u0627 \u0641\u064a \u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u0625\u0635\u062f\u0627\u0631 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a.", "forensic_score": "\u062a\u0632\u0648\u064a\u0631"} \ No newline at end of file +{"forensic_title": "\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0631\u0642\u0645\u064a", "forensic_input": "\u0631\u0627\u0628\u0637 \u0639\u0646\u0648\u0627\u0646 URL \u0644\u0644\u0635\u0648\u0631\u0629", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "button_submit": "\u062a\u062d\u0644\u064a\u0644", "cardheader_source": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0623\u0648 \u0627\u0644\u0645\u0644\u0641", "linkmode_title": "\u062d\u0627\u0644\u0629 \u0627\u0644\u0631\u0627\u0628\u0637", "linkmode_description": "\u062a\u0648\u0641\u064a\u0631 \u0631\u0627\u0628\u0637 \u0639\u0646\u0648\u0627\u0646 URL \u0646\u062d\u0648 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\u0625\u0639\u0637\u0627\u0621 \u0631\u0627\u0628\u0637 \u0635\u062d\u064a\u062d", "forensic_title_adq1_report": "\u062a\u0648\u0636\u064a\u062d \u0645\u0636\u0627\u0639\u0641 (\u0645\u0632\u062f\u0648\u062c)", "forensic_title_ela_report": "\u062a\u062d\u0644\u064a\u0644 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u062e\u0637\u0623", "forensic_title_median_report": "\u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629", "forensic_title_dct_report": "DCT", "forensic_title_cagiNormal": "CAGI", "forensic_title_cagiInversed": "CAGI \u0645\u0642\u0644\u0648\u0628", "forensic_title_wavelet_report": "(WAVELET) \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0648\u062c\u0627\u062a \u0627\u0644\u0635\u0648\u062a\u064a\u0629", "forensic_title_blk_report": "(BLOCK)\u0627\u0644\u062c\u0632\u0621", "forensic_title_ghost_report": "GHOST", "forensic_card_info": "\u0645\u0639\u0644\u0648\u0645\u0627\u062a", "forensic_card_back": "\u0631\u062c\u0648\u0639", "forensic_card_adq1_report": "\u062a\u062d\u062f\u062b \u062d\u0627\u0644\u0627\u062a \u0639\u062f\u0645 \u062a\u0646\u0627\u0633\u0642 \u0627\u0644\u062a\u0643\u0645\u064a\u0645 \u0627\u0644\u0645\u0632\u062f\u0648\u062c \u0639\u0646\u062f \u0625\u062f\u0631\u0627\u062c \u062c\u0633\u0645 \u063a\u0631\u064a\u0628 \u0641\u064a \u0635\u0648\u0631\u0629 JPEG. \u0639\u0646\u062f \u062d\u0641\u0638 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062c\u062f\u064a\u062f\u0629 \u060c \u0633\u064a\u062a\u0645 \u0636\u063a\u0637 \u0627\u0644\u062c\u0632\u0621 \u0627\u0644\u0630\u064a \u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u0628\u062b \u0628\u0647 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u0631\u062a\u064a\u0646 \u060c \u0628\u064a\u0646\u0645\u0627 \u064a\u062a\u0645 \u0636\u063a\u0637 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0645\u062f\u0631\u062c\u0629 \u0645\u0631\u0629 \u0648\u0627\u062d\u062f\u0629 \u0641\u0642\u0637. \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0629 \u060c \u064a\u062c\u0628 \u0623\u0646 \u062a\u0638\u0647\u0631 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0644\u0639\u0628\u062b \u0628\u0647\u0627 \u0628\u0644\u0648\u0646 \u0641\u0627\u062a\u062d (\u0627\u0646\u0638\u0631 \u0627\u0644\u0645\u0642\u064a\u0627\u0633) \u0628\u064a\u0646\u0645\u0627 \u062a\u0638\u0644 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u062f\u0627\u0643\u0646\u0629. \u0641\u064a \u062d\u0627\u0644\u0629 \u0648\u062c\u0648\u062f \u0623\u0644\u0648\u0627\u0646 \u0623\u062e\u0631\u0649 (\u0627\u0644\u0623\u062e\u0636\u0631 \u0648\u0627\u0644\u0623\u0632\u0631\u0642) \u0641\u0644\u0627 \u064a\u0645\u0643\u0646 \u0627\u0644\u062a\u0648\u0635\u0644 \u0625\u0644\u0649 \u0623\u064a \u0627\u0633\u062a\u0646\u062a\u0627\u062c. \u0623\u064a\u0636\u0627\u060c \u064a\u062c\u0628 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0630\u0627\u062a \u0627\u0644\u0623\u0644\u0648\u0627\u0646 \u0630\u0627\u062a \u0634\u0643\u0644: \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644 \u0646\u0642\u0627\u0637 \u0627\u0644\u0636\u0648\u0621 \u0627\u0644\u0632\u0627\u0626\u0641\u0629 \u0627\u0644\u0645\u0646\u062a\u0634\u0631\u0629 \u0639\u0628\u0631 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_ela_report": "\u064a\u062a\u0645 \u0625\u0646\u062a\u0627\u062c \u062a\u062d\u0644\u064a\u0644 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u062e\u0637\u0623 \u0639\u0646 \u0637\u0631\u064a\u0642 \u0625\u0639\u0627\u062f\u0629 \u0636\u063a\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u062a\u0646\u0633\u064a\u0642 JPEG \u0628\u062c\u0648\u062f\u0629 75 \u0648\u0637\u0631\u062d \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062c\u062f\u064a\u062f\u0629 \u0645\u0646 \u0627\u0644\u0642\u062f\u064a\u0645\u0629. \u062b\u0645 \u064a\u062a\u0645 \u062a\u062d\u0633\u064a\u0646 \u0635\u0648\u0631\u0629 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641\u0627\u062a \u0627\u0644\u0646\u0627\u062a\u062c\u0629 \u0648\u0639\u0631\u0636\u0647\u0627. \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0647\u064a \u062a\u0644\u0643 \u0630\u0627\u062a \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0623\u0639\u0644\u0649 \u0645\u0646 \u0627\u0644\u0623\u062c\u0632\u0627\u0621 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0641\u0642\u0637 \u060c \u0623\u064a \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062d\u0648\u0627\u0641 \u0628\u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0627\u0644\u0642\u0648\u0627\u0645 \u0628\u0627\u0644\u0642\u0648\u0627\u0645 \u060c \u0648\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629 \u0628\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629. \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0644\u0648\u0646\u064a\u0629 (\u0639\u0627\u062f\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0632\u0631\u0642\u0627\u0621) \u0645\u0634\u0628\u0648\u0647\u0629 \u0628\u0634\u0643\u0644 \u0639\u0627\u0645. ELA \u0647\u0648 \u0645\u062d\u0633\u0646 \u0648\u0644\u0627 \u064a\u0643\u0641\u064a \u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062a\u0632\u0648\u064a\u0631 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_median_report": "\u064a\u0639\u062a\u0645\u062f \u0645\u062a\u0648\u0633\u0637 \u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0639\u0644\u0649 \u0639\u0632\u0644 \u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u0631\u0626\u064a\u0629 \u062a\u0642\u0631\u064a\u0628\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0645\u062a\u0648\u0633\u0637\u0629. \u0639\u0646\u062f \u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u060c \u0641\u0625\u0646 \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0647\u064a \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0631\u062c\u0639 \u0642\u064a\u0645\u0627 \u0623\u0639\u0644\u0649 (\u0623\u064a \u0623\u0643\u062b\u0631 \u0625\u0634\u0631\u0627\u0642\u0627) \u0645\u0646 \u0627\u0644\u0623\u062c\u0632\u0627\u0621 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u0645\u0645\u0627\u062b\u0644\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0641\u0642\u0637 \u060c \u0623\u064a \u064a\u062c\u0628 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062d\u0648\u0627\u0641 \u0628\u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0627\u0644\u0642\u0648\u0627\u0645 \u0628\u0627\u0644\u0642\u0648\u0627\u0645 \u060c \u0648\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629 \u0628\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0648\u062d\u062f\u0629. \u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0648\u0633\u0627\u0626\u0637 \u0647\u064a \u0645\u062d\u0633\u0646 \u0648\u0644\u0627 \u062a\u0643\u0641\u064a \u0644\u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0628\u0634\u0623\u0646 \u062a\u0632\u0648\u064a\u0631 \u0627\u0644\u0635\u0648\u0631\u0629", "forensic_card_dct_report": "\u0639\u0646\u062f\u0645\u0627 \u064a\u062d\u062f\u062b \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0641\u064a \u0635\u0648\u0631\u0629 JPEG \u060c \u0642\u062f \u062a\u0643\u0648\u0646 \u0645\u0639\u0627\u0645\u0644\u0627\u062a \u062a\u062d\u0648\u064a\u0644 COSINUS \u0627\u0644\u0645\u0646\u0641\u0635\u0644\u0629 (DCT) (\u0639\u0645\u0644\u064a\u0629 \u0631\u064a\u0627\u0636\u064a\u0629) \u0645\u0636\u0637\u0631\u0628\u064b\u0627 \u0645\u062d\u0644\u064a\u064b\u0627. \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0628\u0631\u0632 (\u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u062e\u0636\u0631\u0627\u0621) \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621 \u0645\u0639 \u0627\u0644\u062a\u0644\u0627\u0639\u0628. \u0642\u062f \u064a\u0644\u0645\u062d \u0627\u0644\u0639\u0643\u0633 \u0623\u064a\u0636\u064b\u0627 \u0625\u0644\u0649 \u0627\u0644\u062a\u0644\u0627\u0639\u0628\u060c \u0623\u064a \u0628\u0639\u0636 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0638\u0647\u0631 \u0623\u0643\u062b\u0631 \u0632\u0631\u0642\u0629 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621.", "forensic_card_cagiNormal": "\u064a\u0639\u0645\u0644 \u0636\u063a\u0637 JPEG \u0641\u064a \u0634\u0628\u0643\u0629 8 \u0641\u064a 8 \u060c \u0648\u0647\u0648 \u0634\u0628\u0647 \u0645\u0631\u0626\u064a \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647. \u0642\u062f \u064a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 \u0623\u0648 \u0646\u0642\u0644 \u062c\u0632\u0621 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0625\u0644\u0649 \u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u064b\u0627. \u062a\u0633\u0639\u0649 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0625\u0644\u0649 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0645\u062b\u0644 \u0647\u0630\u0647 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a\u060c \u0648\u062a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u064a\u0647\u0627 \u0645\u062d\u0644\u064a\u064b\u0627. \u062a\u0646\u062a\u062c \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0646\u0642\u0637\u0627\u062a \u0627\u0644\u0645\u062d\u0644\u064a\u0629 \u0627\u0644\u0628\u064a\u0636\u0627\u0621/\u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0623\u0648 \u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0623\u0648 \u0627\u0644\u0623\u0632\u0631\u0642 \u0627\u0644\u0641\u0627\u062a\u062d \u062d\u064a\u062b \u062a\u0643\u062a\u0634\u0641 \u062a\u0628\u0627\u064a\u0646\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0628\u0634\u0643\u0644 \u0639\u0627\u0645\u060c \u062a\u0643\u0648\u0646 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0623\u0642\u0644 \u062a\u0634\u062a\u064a\u062a\u064b\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0642\u0648\u0627\u0645 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u060c \u0648\u062a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0636\u0637\u0631\u0627\u0628\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u0646\u0628\u063a\u064a \u062a\u0641\u0633\u064a\u0631\u0647\u0627 \u0641\u064a \u0627\u0644\u063a\u0627\u0644\u0628 \u0645\u0639 \u0627\u0644\u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u062a\u064a \u062a\u0628\u0631\u0632 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642.", "forensic_card_cagiInversed": "\u064a\u0639\u0645\u0644 \u0636\u063a\u0637 JPEG \u0641\u064a \u0634\u0628\u0643\u0629 8 \u00d7 8 \u060c \u0648\u0647\u064a \u0634\u0628\u0647 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647\u0627. \u0642\u062f \u062a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 \u062c\u0632\u0621 \u0623\u0648 \u0646\u0642\u0644\u0647 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0625\u0644\u0649 \u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u0627. \u062a\u0639\u062f \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 GRIDS-Inverse \u0645\u0643\u0645\u0644\u0629 \u0644 GRIDS \u0641\u064a \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0645\u062b\u0644 \u0647\u0630\u0647 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a. \u062a\u0646\u062a\u062c \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \"\u0646\u0642\u0627\u0637\" \u0632\u0631\u0642\u0627\u0621 \u0645\u062d\u0644\u064a\u0629 \u062d\u064a\u062b \u062a\u0643\u062a\u0634\u0641 \u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0628\u0634\u0643\u0644 \u0639\u0627\u0645\u060c \u062a\u0643\u0648\u0646 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 GRIDS \u0623\u0642\u0644 \u062a\u0634\u062a\u064a\u062a\u0627 \u0628\u0633\u0628\u0628 \u0627\u0644\u0642\u0648\u0627\u0645 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629\u060c \u0648\u062a\u0631\u0643\u0632 \u0639\u0644\u0649 \u0627\u0636\u0637\u0631\u0627\u0628\u0627\u062a \u0627\u0644\u0634\u0628\u0643\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u064a\u062c\u0628 \u062a\u0641\u0633\u064a\u0631\u0647 \u0641\u064a \u0627\u0644\u063a\u0627\u0644\u0628 \u0628\u0627\u0644\u0627\u0642\u062a\u0631\u0627\u0646 \u0645\u0639 \u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0627\u0644\u062a\u064a \u062a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642.", "forensic_card_wavelet_report": "\u062a\u062d\u0645\u0644 \u0643\u0644 \u0635\u0648\u0631\u0629 \u0636\u0648\u0636\u0627\u0621 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0639\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u0631\u062f\u062f \u0646\u0627\u062a\u062c\u0629 \u0639\u0646 \u0639\u0645\u0644\u064a\u0629 \u0627\u0644\u0627\u0644\u062a\u0642\u0627\u0637 \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0627\u0644\u0636\u063a\u0637. \u062a\u0642\u0648\u0645 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u0648\u064a\u062c\u064a\u0629 \u0627\u0644\u0645\u0646\u0641\u0635\u0644\u0629 \u0628\u062a\u0635\u0641\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0648\u062d\u0633\u0627\u0628 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u062d\u0644\u064a \u0641\u064a \u0643\u0644 \u062c\u0632\u0621 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629. \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u062e\u062a\u0644\u0641 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0627\u0644\u0642\u0648\u064a\u060c \u0648\u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0646\u0634\u0623 \u0645\u0646 \u0635\u0648\u0631 \u0623\u062e\u0631\u0649. \u0646\u0638\u0631\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u063a\u0627\u0644\u0628\u0627 \u0645\u0627 \u062a\u0643\u0648\u0646 \u0645\u0636\u0644\u0644\u0629 \u0628\u0633\u0628\u0628 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641\u0627\u062a \u0641\u064a \u0627\u0644\u0645\u0644\u0645\u0633 \u0648\u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u060c \u0641\u0645\u0646 \u0627\u0644\u0623\u0641\u0636\u0644 \u062a\u0641\u0633\u064a\u0631\u0647\u0627 \u0628\u0627\u0644\u0627\u0642\u062a\u0631\u0627\u0646 \u0645\u0639 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649.", "forensic_card_blk_report": "\u064a\u0639\u0645\u0644 \u0636\u063a\u0637 JPEG \u0641\u064a \u0634\u0628\u0643\u0629 8 \u00d7 8 \u060c \u0648\u0647\u064a \u0634\u0628\u0647 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647\u0627. \u0642\u062f \u062a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 \u062c\u0632\u0621 \u0623\u0648 \u0646\u0642\u0644\u0647 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0625\u0644\u0649 \u062a\u0639\u0637\u064a\u0644 \u0647\u0630\u0647 \u0627\u0644\u0634\u0628\u0643\u0629 \u0645\u062d\u0644\u064a\u0627. \u062a\u0643\u062a\u0634\u0641 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 BLOCK \u0634\u0628\u0643\u0629 \u0627\u0644\u0635\u0648\u0631 \u0648\u062a\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0627\u0644\u0645\u062d\u0644\u064a\u0629. \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0623\u064a \u0645\u0646\u0637\u0642\u0629 \u0645\u062a\u0645\u0627\u0633\u0643\u0629 \u0630\u0627\u062a \u0644\u0648\u0646 \u0645\u062e\u062a\u0644\u0641 \u0639\u0646 \u0645\u062d\u064a\u0637\u0647\u0627 \u0645\u0639 \u0627\u0644\u0639\u0628\u062b \u060c \u0639\u0644\u0649 \u0627\u0644\u0631\u063a\u0645 \u0645\u0646 \u0623\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0648\u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0641\u0627\u062a\u062d \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u062f\u0627\u0643\u0646\u0629 \u0647\u0645\u0627 \u0627\u0644\u0645\u0624\u0634\u0631 \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u0627 \u0644\u0644\u0639\u0628\u062b. \u0646\u0638\u0631\u0627 \u0644\u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u063a\u0627\u0644\u0628\u0627 \u0645\u0627 \u062a\u0643\u0648\u0646 \u0645\u0636\u0644\u0644\u0629 \u0628\u0633\u0628\u0628 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641\u0627\u062a \u0641\u064a \u0627\u0644\u0645\u0644\u0645\u0633 \u0648\u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u060c \u0641\u0645\u0646 \u0627\u0644\u0623\u0641\u0636\u0644 \u062a\u0641\u0633\u064a\u0631\u0647\u0627 \u0628\u0627\u0644\u0627\u0642\u062a\u0631\u0627\u0646 \u0645\u0639 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u0623\u062e\u0631\u0649.", "forensic_card_ghost_report": "\u062a\u0639\u062a\u0645\u062f \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 JPEG Ghosts \u0639\u0644\u0649 \u0625\u0639\u0627\u062f\u0629 \u0636\u063a\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u0628\u0635\u0641\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0648\u0637\u0631\u062d \u0643\u0644 \u0645\u0646\u0647\u0627 \u0645\u0646 \u0627\u0644\u0623\u0635\u0644. \u062a\u062a\u0645 \u0645\u0639\u0627\u0644\u062c\u0629 \u0635\u0648\u0631 \u0627\u0644\u0627\u062e\u062a\u0644\u0627\u0641 \u0627\u0644\u0646\u0627\u062a\u062c\u0629 \u0628\u0639\u062f \u0630\u0644\u0643 \u0644\u0625\u0628\u0631\u0627\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0628\u0627\u0631\u0632\u0629 \u0648\u0627\u0644\u062a\u064a \u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0646\u0634\u0623 \u0645\u0646 \u0635\u0648\u0631\u0629 JPEG \u0645\u062e\u062a\u0644\u0641\u0629. \u0628\u0639\u062f \u0630\u0644\u0643 \u060c \u064a\u062a\u0645 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0646\u062a\u0627\u0626\u062c \u0645\u062b\u064a\u0631\u0629 \u0644\u0644\u0627\u0647\u062a\u0645\u0627\u0645 (\u0623\u064a \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u062a\u0645\u064a\u0632 \u0628\u062a\u0646\u0627\u0642\u0636\u0627\u062a \u0645\u062d\u0644\u064a\u0629). \u0642\u062f \u062a\u062a\u0648\u0627\u0641\u0642 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062a\u0633\u0642\u0629 \u0627\u0644\u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u0627\u0644\u062e\u0636\u0631\u0627\u0621 \u0627\u0644\u0641\u0627\u062a\u062d\u0629 \u0623\u0648 \u0627\u0644\u0632\u0631\u0642\u0627\u0621 \u0627\u0644\u0641\u0627\u062a\u062d\u0629 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0633\u0648\u062f\u0627\u0621 \u0645\u0639 \u0622\u062b\u0627\u0631 \u0627\u0644\u0639\u0628\u062b \u060c \u062e\u0627\u0635\u0629 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0644\u0627 \u062a\u062a\u0648\u0627\u0641\u0642 \u0645\u0639 \u0627\u0644\u062d\u0648\u0627\u0641 \u060c \u0648\u0644\u0643\u0646 \u0645\u0639 \u0645\u0646\u0627\u0637\u0642 \u0628\u0623\u0643\u0645\u0644\u0647\u0627.", "applied_filter": "\u0627\u0644\u0641\u0644\u062a\u0631 \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645", "apply_filter": "\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0641\u0644\u062a\u0631", "forensic_title_none": "\u0644\u0627 \u0634\u064a\u0621", "clear_filter": "\u0645\u0633\u062d \u0627\u0644\u0641\u0644\u062a\u0631", "forensic_ratio_b_landscape": "\u0635\u0648\u0631\u0629 \u0628\u0648\u0631\u062a\u0631\u064a\u0647", "forensic_ratio_b_portrait": "\u0635\u0648\u0631\u0629 \u0623\u0641\u0642\u064a\u0629", "forensic_title_cmfd_report": "CMFD", "forensic_title_fusion_report": "\u0627\u0644\u062f\u0645\u062c", "forensic_title_mantranet_report": "Mantranet", "forensic_title_splicebuster_report": "Splicebuster", "forensic_title_zero_report": "\u0635\u0641\u0631", "forensic_title_laplacian_report": "\u0644\u0627\u0628\u0644\u0627\u0633\u064a\u0627\u0646", "forensic_title_rcmfd_report": "RCMFD", "forensic_family_compression_title": "\u0636\u063a\u0637", "forensic_family_compression_description": "\u062a\u0643\u062a\u0634\u0641 \u0647\u0630\u0647 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0644\u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0635\u0648\u0631\u0629 \u0648\u0636\u063a\u0637\u0647\u0627. \u0625\u0630\u0627 \u062a\u0645\u062a \u0625\u0632\u0627\u0644\u0629 \u0639\u0646\u0635\u0631 \u062c\u062f\u064a\u062f \u0623\u0648 \u0625\u0636\u0627\u0641\u062a\u0647 \u0625\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629 \u060c \u0641\u064a\u0645\u0643\u0646 \u0627\u0643\u062a\u0634\u0627\u0641\u0647 \u0625\u0630\u0627 \u0643\u0627\u0646 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0636\u063a\u0637 \u0645\u062e\u062a\u0644\u0641 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_compression_look": "\u0645\u0632\u064a\u062c \u0645\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062f\u062f \u0627\u0644\u0623\u0628\u064a\u0636 \u0623\u0648 \u0627\u0644\u0623\u062e\u0636\u0631 \u062f\u0627\u062e\u0644 \u0645\u0633\u0627\u062d\u0629 \u0645\u0634\u062a\u0631\u0643\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_compression_ignore": "\u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0648\u0644\u062f \u0627\u0644\u0642\u0648\u0627\u0645 \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0644\u0623\u062c\u0632\u0627\u0621 \u0623\u0648 \u0645\u0646\u0627\u0637\u0642 \u0645\u0634\u0628\u0639\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0643\u0627\u0630\u0628\u0629.", "forensic_family_noise_title": "\u0627\u0644\u0622\u062b\u0627\u0631", "forensic_family_noise_description": "\u062a\u0642\u0648\u0645 \u0647\u0630\u0647 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0628\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0622\u062b\u0627\u0631 \u0627\u0644\u062a\u064a \u062e\u0644\u0641\u062a\u0647\u0627 \u0633\u0644\u0633\u0644\u0629 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0643\u0627\u0645\u064a\u0631\u0627. \u064a\u0645\u0643\u0646\u0647\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u0644\u0627 \u062a\u062a\u0641\u0642 \u0641\u064a\u0647\u0627 \u0622\u062b\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u064a\u0631\u0627 \u0645\u0639 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_noise_look": "\u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 \u0645\u0646 \u0642\u0633\u0645 \u0648\u0627\u0636\u062d \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_family_noise_ignore": "\u064a\u0645\u0643\u0646 \u0644\u0644\u0642\u0648\u0627\u0645 \u0627\u0644\u0645\u0639\u0642\u062f\u0629 \u0644\u062c\u0632\u0621 \u0623\u0648 \u0645\u0646\u0627\u0637\u0642 \u0645\u0634\u0628\u0639\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 (\u0627\u0644\u0623\u0642\u0633\u0627\u0645 \u0627\u0644\u0633\u0648\u062f\u0627\u0621 \u0623\u0648 \u0627\u0644\u0628\u064a\u0636\u0627\u0621) \u062a\u0648\u0644\u064a\u062f \u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0643\u0627\u0630\u0628\u0629.", "forensic_family_ai_title": "\u062a\u0639\u0644\u0645 \u0639\u0645\u064a\u0642(Deep learning)", "forensic_family_ai_description": "\u064a\u0633\u062a\u062e\u062f\u0645\u0648\u0646 \u0623\u0633\u0627\u0644\u064a\u0628 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0644\u0644\u0643\u0634\u0641 \u0639\u0646 \u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0627\u0644\u0635\u0648\u0631 \u0628\u0646\u0638\u0627\u0645 \u062a\u0645 \u062a\u062f\u0631\u064a\u0628\u0647 \u0628\u0639\u062f\u062f \u0643\u0628\u064a\u0631 \u0645\u0646 \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0645\u0632\u064a\u0641\u0629.", "forensic_family_ai_look": "\u0623\u0642\u0633\u0627\u0645 \u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0648\u064a\u0627\u062a \u0623\u0648 \u0627\u0644\u0645\u0648\u0627\u0636\u064a\u0639 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0645\u0645\u064a\u0632\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636.", "forensic_family_ai_ignore": "\u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644 \u0627\u0644\u0645\u0642\u0627\u0637\u0639 \u0627\u0644\u0645\u0638\u0644\u0645\u0629.", "forensic_family_cloning_title": "\u0627\u0633\u062a\u0646\u0633\u0627\u062e", "forensic_family_cloning_description": "\u062a\u0643\u062a\u0634\u0641 \u062a\u0644\u0643 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0639\u0646\u0627\u0635\u0631 \u062a\u0645 \u0646\u0633\u062e\u0647\u0627 \u0648\u0646\u0642\u0644\u0647\u0627 \u062f\u0627\u062e\u0644 \u062a\u0644\u0643 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u0646 \u0623\u062c\u0644 \u0627\u0644\u062a\u0632\u064a\u064a\u0641.", "forensic_family_cloning_look": "CMFD - \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0628\u064a\u0636\u0627\u0621 \u0647\u064a \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0646\u0633\u062e\u0647\u0627 \u0648\u0646\u0642\u0644\u0647\u0627 \u0648\u0642\u062f \u062a\u0645\u062b\u0644 \u0645\u0635\u062f\u0631 \u0627\u0644\u0639\u0646\u0635\u0631 \u0627\u0644\u0630\u064a \u062a\u0645 \u0627\u0633\u062a\u0646\u0633\u0627\u062e\u0647 RCMFD - \u062e\u0637\u0648\u0637 \u062d\u0645\u0631\u0627\u0621 \u0628\u064a\u0646 \u0623\u062c\u0632\u0627\u0621 \u0645\u0645\u0627\u062b\u0644\u0629 \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u062a\u0643\u0634\u0641 \u0639\u0646 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0633\u062a\u0646\u0633\u0627\u062e\u0647\u0627.", "forensic_family_cloning_ignore": "\u062a\u062c\u0627\u0647\u0644 \u0627\u0644\u0623\u0642\u0633\u0627\u0645 \u0627\u0644\u0645\u062a\u0628\u0642\u064a\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0648\u0635\u0641 \u0623\u0639\u0644\u0627\u0647.", "forensic_filters_explanation": "\u062a\u0647\u062f\u0641 \u062c\u0645\u064a\u0639 \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0623\u062f\u0646\u0627\u0647 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0623\u0648 \u0627\u0644\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0646\u0634\u0626 \u0635\u0648\u0631\u0629 \u0645\u0632\u064a\u0641\u0629. \u064a\u062a\u0645 \u062a\u0648\u0632\u064a\u0639 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0641\u064a \u0639\u0627\u0626\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0646\u0627\u0621 \u0639\u0644\u0649 \u0637\u0631\u064a\u0642\u062a\u0647\u0627 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0627\u062a \u0627\u0644\u0634\u0627\u0630\u0629. \u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0644\u064a\u0633\u062a \u0645\u062b\u0627\u0644\u064a\u0629\u060c \u0648\u064a\u0645\u0643\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0621 \u0628\u0639\u0636 \u0627\u0644\u0625\u064a\u062c\u0627\u0628\u064a\u0627\u062a \u0627\u0644\u062e\u0627\u0637\u0626\u0629 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644\u0647\u0627. \u0644\u0644\u0645\u0633\u0627\u0639\u062f\u0629 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0639\u0645\u0644\u064a\u0629\u060c \u064a\u062a\u0645 \u0639\u0631\u0636 \u0634\u0631\u062d \u0645\u0648\u062c\u0632 \u0644\u0644\u0639\u0627\u0626\u0644\u0629 \u0648\u0627\u0644\u0623\u0634\u064a\u0627\u0621 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u0627\u0644\u0646\u0638\u0631 \u0625\u0644\u064a\u0647\u0627 \u0623\u0648 \u0627\u0644\u0623\u0634\u064a\u0627\u0621 \u0627\u0644\u062a\u064a \u064a\u062c\u0628 \u062a\u062c\u0627\u0647\u0644\u0647\u0627 \u0623\u0633\u0641\u0644 \u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u062a\u0635\u0641\u064a\u0629. \u0639\u0627\u062f\u0629\u060c \u062a\u0638\u0647\u0631 \u062c\u0645\u064a\u0639 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u0639\u062f\u064a\u0644\u0627\u062a \u0627\u0644\u0645\u062d\u062a\u0645\u0644\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062d\u0645\u0631 \u0648\u0644\u064a\u0633 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u062f\u0644\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0632\u0631\u0642. \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u063a\u0628 \u0641\u064a \u0645\u0639\u0631\u0641\u0629 \u0627\u0644\u0645\u0632\u064a\u062f\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0644 \u0625\u0644\u0649 \u0648\u062b\u0627\u0626\u0642\u0646\u0627 \u0627\u0644\u0645\u0648\u0633\u0639\u0629.", "forensic_lenses_explanation": "\u062a\u0633\u0627\u0639\u062f\u0643 \u0627\u0644\u0645\u0639\u0632\u0632\u0627\u062a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0623\u062f\u0646\u0627\u0647 \u0639\u0644\u0649 \u0627\u0644\u0646\u0638\u0631 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644 \u0641\u064a \u062d\u0648\u0627\u0641 \u0627\u0644\u0635\u0648\u0631\u0629. \u0625\u0646\u0647\u0627 \u0644\u064a\u0633\u062a \u0643\u0627\u0641\u064a\u0629 \u0644\u0644\u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062d\u0648\u0644 \u0627\u0644\u062a\u0632\u0648\u064a\u0631\u060c \u0648\u0644\u0643\u0646 \u0625\u0630\u0627 \u0631\u0623\u064a\u062a \u0645\u0646\u0637\u0642\u0629 \u0645\u0634\u0628\u0648\u0647\u0629\u060c \u0641\u064a\u062c\u0628 \u0639\u0644\u064a\u0643 \u0625\u0644\u0642\u0627\u0621 \u0646\u0638\u0631\u0629 \u0639\u0644\u0649 \u0646\u0641\u0633 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0641\u064a \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u0639\u0631\u0648\u0636\u0629 \u0639\u0644\u0649 \u0627\u0644\u064a\u0645\u064a\u0646.", "forensic_title_image": "\u0635\u0648\u0631\u0629 \u062a\u0645 \u062a\u062d\u0644\u064a\u0644\u0647\u0627", "forensic_button_newImage": "\u0635\u0648\u0631\u0629 \u062c\u062f\u064a\u062f\u0629", "forensic_title_what": "\u0645\u0627 \u0647\u0630\u0627\u061f", "forensic_title_filters": "\u0627\u0644\u0641\u0644\u0627\u062a\u0631", "forensic_title_lenses": "\u0627\u0644\u0645\u0639\u0632\u0632\u0627\u062a", "forensic_input_placeholder": "\u0627\u0644\u0635\u0642 \u0627\u0644\u0631\u0627\u0628\u0637 \u0647\u0646\u0627", "forensic_button_download": "\u062a\u062d\u0645\u064a\u0644", "forensic_text_speed": "\u0633\u0631\u0639\u0629 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0645\u062a\u062d\u0631\u0643\u0629", "forensic_title_export": "\u0642\u0645 \u0628\u062a\u0635\u062f\u064a\u0631 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u0628\u0635\u064a\u063a\u0629 GIF", "forensic_text_fast": "\u0633\u0631\u064a\u0639", "forensic_text_slow": "\u0628\u0637\u064a\u0621", "forensic_text_detection": "\u0643\u0634\u0641 \u062a\u0644\u0627\u0639\u0628", "forensic_text_nodetection": "\u0644\u0627 \u062a\u0644\u0627\u0639\u0628", "forensic_tosast_clipboard": "\u0639\u0646\u0648\u0627\u0646 URL \u0644\u0644\u0635\u0648\u0631\u0629 \u064a\u062a\u0645 \u0646\u0633\u062e\u0647 \u0641\u064a \u0627\u0644\u062d\u0627\u0641\u0638\u0629", "forensic_card_zero_report": "\u0639\u0646\u062f\u0645\u0627 \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0645\u0646\u0637\u0642\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636\u060c \u0641\u0647\u0630\u0627 \u064a\u0639\u0646\u064a \u0623\u0646 \u0644\u0647\u0627 \u0645\u0648\u0636\u0639 \u0634\u0628\u0643\u0629 JPEG \u0645\u062e\u062a\u0644\u0641\u0627 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629. \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0641\u0627\u062a\u062d \u060c \u0641\u0647\u0630\u0627 \u064a\u0639\u0646\u064a \u0623\u0646 \u0627\u0644\u0634\u0628\u0643\u0629 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0645\u0646\u0637\u0642\u0629 \u0642\u062f \u062a\u0639\u0637\u0644\u062a. \u0644\u0630\u0644\u0643 \u060c \u064a\u0645\u0643\u0646 \u0627\u0639\u062a\u0628\u0627\u0631\u0647\u0627 \u062a\u0632\u0648\u064a\u0631\u0627 \u0646\u0627\u062a\u062c\u0627 \u0639\u0646 \u0645\u062d\u0648 \u0623\u0648 \u0646\u0642\u0644 \u0646\u0633\u062e \u062e\u0627\u0631\u062c\u064a \u0623\u0648 \u062f\u0627\u062e\u0644\u064a. \u064a\u0639\u0646\u064a \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0633\u0648\u062f \u0623\u0646\u0647 \u0644\u0645 \u064a\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0623\u064a \u0634\u0628\u0643\u0629 JPEG \u063a\u064a\u0631 \u0637\u0628\u064a\u0639\u064a\u0629.", "forensic_card_laplacian_report": "\u064a\u0638\u0647\u0631 \u0644\u0627\u0628\u0644\u0627\u0633\u064a\u0627\u0646 \u062a\u0631\u062f\u062f\u0627\u062a \u0639\u0627\u0644\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0645\u062b\u0644 \u0627\u0644\u062d\u062f\u0648\u062f. \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u062c\u0639\u0644 \u0628\u0639\u0636 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u062a\u0638\u0647\u0631 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0625\u0638\u0647\u0627\u0631 \u062d\u062f\u0648\u062f \u0645\u062d\u0648 \u0623\u0648 \u0644\u0635\u0642 \u0645\u0627. \u0647\u0630\u0627 \u0644\u064a\u0633 \u0643\u0627\u0634\u0641 \u062a\u0632\u0648\u064a\u0631 \u0641\u064a \u062d\u062f \u0630\u0627\u062a\u0647 \u060c \u064a\u0644\u0632\u0645 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0628\u0635\u0631\u064a \u0644\u062a\u0641\u0633\u064a\u0631 \u0646\u062a\u0627\u0626\u062c\u0647.", "forensic_card_splicebuster_report": "\u062a\u062d\u0645\u0644 \u0643\u0644 \u0635\u0648\u0631\u0629 \u0636\u0648\u0636\u0627\u0621 \u063a\u064a\u0631 \u0645\u0631\u0626\u064a\u0629 \u0646\u062a\u064a\u062c\u0629 \u0644\u062e\u0637 \u0623\u0646\u0627\u0628\u064a\u0628 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0635\u0648\u0631. \u064a\u062a\u0645 \u062a\u0642\u062f\u064a\u0631 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u0645\u062a\u0628\u0642\u064a\u0629 \u062b\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0645\u064a\u0632\u0627\u062a. \u064a\u0634\u0627\u0631 \u0625\u0644\u0649 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u0644\u0647\u0627 \u0645\u064a\u0632\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0639\u0646 \u0628\u0642\u064a\u0629 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0645\u0634\u0628\u0648\u0647\u0629. \u0628\u0633\u0628\u0628 \u0627\u0644\u062a\u0637\u0628\u064a\u0639 \u060c \u0633\u064a\u0643\u0648\u0646 \u0647\u0646\u0627\u0643 \u062f\u0627\u0626\u0645\u0627 \u0628\u0643\u0633\u0644 \u0648\u0627\u062d\u062f \u0639\u0644\u0649 \u0627\u0644\u0623\u0642\u0644 \u0628\u0642\u064a\u0645\u0629 \u0639\u0627\u0644\u064a\u0629 \u062d\u062a\u0649 \u0639\u0644\u0649 \u0635\u0648\u0631\u0629 \u0623\u0635\u0644\u064a\u0629. \u0639\u0644\u0627\u0648\u0629 \u0639\u0644\u0649 \u0630\u0644\u0643 \u060c \u064a\u062c\u0628 \u062a\u0648\u062e\u064a \u0627\u0644\u062d\u0630\u0631 \u0641\u064a \u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0634\u0628\u0639\u0629. \u0639\u0646\u062f\u0645\u0627 \u0644\u0627 \u064a\u062a\u0645 \u0625\u062e\u0641\u0627\u0624\u0647\u0627 \u062a\u0644\u0642\u0627\u0626\u064a\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u060c \u0641\u0642\u062f \u064a\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641\u0647\u0627 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0645\u0632\u0648\u0631\u0629 \u062d\u062a\u0649 \u0639\u0646\u062f\u0645\u0627 \u062a\u0643\u0648\u0646 \u0623\u0635\u0644\u064a\u0629.", "forensic_card_mantranet_report": "Mantra-Net \u0647\u0648 \u0646\u0647\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0644\u0644\u0643\u0634\u0641 \u0639\u0646 \u0627\u0644\u062a\u0644\u0627\u0639\u0628 \u0628\u0627\u0644\u062a\u0632\u0648\u064a\u0631. \u0648\u064a\u0638\u0647\u0631 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u064a\u0639\u062a\u0642\u062f \u0623\u0646\u0647\u0627 \u0645\u0632\u0648\u0631\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643 \u060c \u0641\u064a \u062d\u0627\u0644\u0629 \u0639\u062f\u0645 \u0648\u062c\u0648\u062f \u062a\u062d\u0644\u064a\u0644 \u062a\u0644\u0642\u0627\u0626\u064a \u0644\u0644\u0646\u062a\u0627\u0626\u062c \u060c \u0647\u0646\u0627\u0643 \u062d\u0627\u062c\u0629 \u0625\u0644\u0649 \u062a\u0641\u0633\u064a\u0631 \u0645\u0631\u0626\u064a \u0644\u0644\u062a\u0645\u064a\u064a\u0632 \u0628\u064a\u0646 \u0627\u0644\u0627\u0643\u062a\u0634\u0627\u0641\u0627\u062a \u0627\u0644\u062d\u0642\u064a\u0642\u064a\u0629 \u0648\u0627\u0644\u0636\u0648\u0636\u0627\u0621.", "forensic_card_fusion_report": "Fusion \u0647\u0648 \u0646\u0647\u062c \u062a\u0639\u0644\u064a\u0645\u064a \u0639\u0645\u064a\u0642 \u064a\u062c\u0645\u0639 \u0628\u064a\u0646 \u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062a\u062d\u0631\u064a \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f\u0629 \u0648\u064a\u0648\u0641\u0631 \u062a\u0648\u0637\u064a\u0646 \u0634\u0627\u0645\u0644. \u064a\u062c\u0628 \u0623\u0646 \u062a\u0638\u0647\u0631 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u0628\u0623\u0629 \u0643\u0645\u0646\u0627\u0637\u0642 \u0628\u064a\u0636\u0627\u0621 \u0623\u0648 \u062e\u0636\u0631\u0627\u0621 \u062e\u0636\u0631\u0627\u0621 \u0639\u0644\u0649 \u062e\u0644\u0641\u064a\u0629 \u0623\u063a\u0645\u0642.", "forensic_card_cmfd_report": "\u0647\u0630\u0627 \u0647\u0648 \u0646\u0647\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0639\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u062a\u0632\u0648\u064a\u0631 \u0646\u0633\u062e. \u0648\u062d\u062f\u0627\u062a \u0627\u0644\u0628\u0643\u0633\u0644 \u0627\u0644\u0645\u0638\u0644\u0645\u0629 \u0623\u0635\u0644\u064a\u0629 \u0648\u062a\u0633\u062a\u0647\u062f\u0641 \u062a\u0644\u0643 \u0630\u0627\u062a \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0641\u0627\u062a\u062d \u0646\u0633\u062e\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u062f\u0627\u062e\u0644 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_card_rcmfd_report": "\u064a\u0639\u062a\u0645\u062f \u0643\u0627\u0634\u0641 \u062a\u0632\u0648\u064a\u0631 \u0646\u0633\u062e \u0642\u0648\u064a \u0639\u0644\u0649 \u0637\u0631\u064a\u0642\u0629 SIFT. \u064a\u0631\u0628\u0637 \u0627\u0644\u0643\u0627\u0634\u0641 \u0623\u062c\u0632\u0627\u0621 \u0645\u0645\u0627\u062b\u0644\u0629 (\u0648\u0627\u0644\u062a\u064a \u0644\u064a\u0633\u062a \u0645\u062a\u0634\u0627\u0628\u0647\u0629 \u0628\u0634\u0643\u0644 \u0637\u0628\u064a\u0639\u064a) \u0645\u0639 \u062e\u0637\u0648\u0637 \u062d\u0645\u0631\u0627\u0621. \u0644\u0627 \u062a\u0643\u062a\u0634\u0641 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u0627\u0644\u0645\u062d\u062a\u0648\u0649 \u0627\u0644\u0623\u0635\u0644\u064a \u0645\u0646 \u0627\u0644\u0645\u0632\u0648\u0631.", "forensic_title_cfa_report": "CFA", "forensic_card_cfa_report": "\u064a\u0645\u0643\u0646 \u0644\u0644\u0643\u0627\u0645\u064a\u0631\u0627 \u0645\u0639\u0627\u064a\u0646\u0629 \u0644\u0648\u0646 \u0648\u0627\u062d\u062f \u0641\u0642\u0637 \u0644\u0643\u0644 \u0628\u0643\u0633\u0644\u060c \u0641\u0647\u064a \u062a\u0641\u062d\u0635 \u0623\u0644\u0648\u0627\u0646\u064b\u0627 \u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0628\u0643\u0633\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u062a\u0642\u062f\u0631 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0645\u0646 \u0648\u062d\u062f\u0627\u062a \u0627\u0644\u0628\u0643\u0633\u0644 \u0627\u0644\u0645\u062d\u064a\u0637\u0629. \u062a\u064f\u0639\u0631\u0641 \u0647\u0630\u0647 \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0628\u0627\u0633\u0645 \u0627\u0644\u062a\u0632\u064a\u064a\u0646 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a\u060c \u0648\u062a\u062a\u0631\u0643 \u0623\u062b\u0631\u0627 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629. \u062a\u062d\u0644\u0644 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u062a\u0644\u0643 \u0627\u0644\u0622\u062b\u0627\u0631 \u0644\u062a\u0642\u062f\u064a\u0631 \u0646\u0645\u0637 \u0623\u062e\u0630 \u0627\u0644\u0639\u064a\u0646\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u062e\u062f\u0645 \u0641\u064a \u0627\u0644\u0643\u0627\u0645\u064a\u0631\u0627\u060c \u0648\u064a\u062c\u062f \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u0644\u0627 \u064a\u062a\u0645\u0627\u0634\u0649 \u0646\u0645\u0637\u0647\u0627 \u0645\u0639 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629. \u0646\u0638\u0631\u064b\u0627 \u0644\u0637\u0628\u064a\u0639\u0629 \u0627\u0644\u062a\u0632\u064a\u064a\u0646 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a\u060c \u0641\u0625\u0646\u0647 \u064a\u062a\u0637\u0644\u0628 \u0635\u0648\u0631\u064b\u0627 \u0630\u0627\u062a \u062c\u0648\u062f\u0629 \u0645\u0645\u062a\u0627\u0632\u0629.", "forensic_text_hoverinfo": "\u0645\u0631\u0631 \u0645\u0624\u0634\u0631 \u0627\u0644\u0645\u0627\u0648\u0633 \u0641\u0648\u0642 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0644\u0631\u0624\u064a\u0629 \u063a\u0637\u0627\u0621 \u0634\u0641\u0627\u0641 \u0645\u0639 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631\u0629", "forensic_title_mmfusion_report": "MM-Fusion", "forensic_card_mmfusion_report": "\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 MM-Fusion \u062a\u0643\u062a\u0634\u0641 \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0635\u0631\u064a\u064b\u0627. \u062a\u0648\u0641\u0631 \u0642\u0646\u0627\u0639 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0632\u0648\u064a\u0631 \u060c \u0627\u0644\u0630\u064a \u064a\u0628\u0631\u0632 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0628\u064a\u0636 / \u0627\u0644\u0623\u062e\u0636\u0631 \u0627\u0644\u0628\u0627\u0647\u062a \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0645\u0639\u062f\u0644\u0629 \u060c \u0628\u064a\u0646\u0645\u0627 \u062a\u0638\u0644 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0633\u0648\u062f. \u0644\u062a\u062d\u0642\u064a\u0642 \u0630\u0644\u0643 \u060c \u0641\u0647\u0648 \u064a\u062c\u0645\u0639 \u0625\u062e\u0631\u0627\u062c \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0641\u0644\u0627\u062a\u0631 \u0627\u0644\u062d\u0633\u0627\u0633\u0629 \u0644\u0644\u0636\u0648\u0636\u0627\u0621 \u060c \u0645\u0646 \u0623\u062c\u0644 \u0627\u0644\u062a\u0642\u0627\u0637 \u0622\u062b\u0627\u0631 \u0645\u062e\u062a\u0644\u0641\u0629 \u062a\u0631\u0643\u062a\u0647\u0627 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u062a\u0644\u0627\u0639\u0628. \u0648\u0631\u0642\u0629 \u0630\u0627\u062a \u0635\u0644\u0629:Triaridis, K., & Mezaris, V. (2023). Exploring Multi-Modal Fusion for Image Manipulation Detection and Localisation. arXiv preprint arXiv:2312.0179. \u062a\u0645 \u062f\u0639\u0645 \u062a\u0637\u0648\u064a\u0631 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u0642\u0628\u0644 \u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u0627\u0628\u062a\u0643\u0627\u0631 Horizon 2020 \u0627\u0644\u062a\u0627\u0628\u0639 \u0644\u0644\u0627\u062a\u062d\u0627\u062f \u0627\u0644\u0623\u0648\u0631\u0648\u0628\u064a \u0628\u0645\u0648\u062c\u0628 \u0627\u062a\u0641\u0627\u0642\u064a\u0629 \u0627\u0644\u0645\u0646\u062d\u0629 \u0631\u0642\u0645H2020-101021866 CRiTERI ", "forensic_title_trufor_report": "TruFor", "forensic_card_trufor_report": "\u062a\u0643\u062a\u0634\u0641 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 TruFor \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0635\u0631\u064a\u064b\u0627. \u0648\u0647\u0648 \u064a\u0648\u0641\u0631 \u0642\u0646\u0627\u0639 \u062a\u0648\u0637\u064a\u0646 \u0645\u0632\u064a\u0641\u060c \u064a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062d\u0645\u0631\u060c \u0628\u064a\u0646\u0645\u0627 \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0632\u0631\u0642. \u0639\u0644\u0627\u0648\u0629 \u0639\u0644\u0649 \u0630\u0644\u0643\u060c \u0641\u0625\u0646\u0647 \u064a\u0648\u0641\u0631 \u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629 \u062a\u0632\u0648\u064a\u0631 \u0625\u062c\u0645\u0627\u0644\u064a\u0629 \u0644\u0644\u0635\u0648\u0631\u0629\u060c \u0645\u0645\u0627 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0628\u0639\u0636 \u0627\u0644\u0623\u062c\u0632\u0627\u0621 \u0642\u062f \u062a\u0645 \u062a\u0632\u0648\u064a\u0631\u0647\u0627. \u0648\u0644\u062a\u062d\u0642\u064a\u0642 \u0630\u0644\u0643\u060c \u0641\u0625\u0646\u0647 \u064a\u0633\u062a\u062e\u062f\u0645 \u0645\u0631\u0634\u062d\u064b\u0627 \u062c\u062f\u064a\u062f\u064b\u0627 \u0642\u0627\u0626\u0645\u064b\u0627 \u0639\u0644\u0649 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u064a\u064f\u0633\u0645\u0649 Noiseprint++\u060c \u0648\u0627\u0644\u0630\u064a \u064a\u0644\u062a\u0642\u0637 \u062a\u0641\u0627\u0635\u064a\u0644 \u0646\u0645\u0637 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0641\u064a \u0645\u0646\u0627\u0637\u0642 \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "forensic_title_omgfuser_report": "OMGFuser", "forensic_card_omgfuser_report": "\u062a\u0643\u062a\u0634\u0641 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 OMGFuser \u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0635\u0631\u064a\u064b\u0627. \u0648\u0647\u0648 \u064a\u0648\u0641\u0631 \u0642\u0646\u0627\u0639 \u062a\u0648\u0637\u064a\u0646 \u0645\u0632\u064a\u0641\u060c \u064a\u0633\u0644\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062a\u064a \u062a\u0645 \u062a\u063a\u064a\u064a\u0631\u0647\u0627 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u062d\u0645\u0631\u060c \u0628\u064a\u0646\u0645\u0627 \u064a\u062a\u0645 \u062a\u0645\u064a\u064a\u0632 \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0628\u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0623\u0632\u0631\u0642. \u0639\u0644\u0627\u0648\u0629 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OMGFuser \u062d\u0627\u0644\u064a\u064b\u0627 \u0641\u064a \u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u0625\u0635\u062f\u0627\u0631 \u0627\u0644\u062a\u062c\u0631\u064a\u0628\u064a.", "forensic_score": "\u062a\u0632\u0648\u064a\u0631"} \ No newline at end of file diff --git a/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json b/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json index 0b1875f9e..e39732fd2 100644 --- a/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json +++ b/public/locales/ar/components/NavItems/tools/SyntheticImageDetection.json @@ -1 +1 @@ -{"synthetic_image_detection_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "synthetic_image_detection_name": "\u0643\u0634\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "synthetic_image_detection_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "synthetic_image_detection_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "synthetic_image_detection_diffusion_name": "\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646", "synthetic_image_detection_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c ProGAN \u0623 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": " .\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0627\u062a \u0627\u0644\u062e\u0635\u0645 \u0627\u0644\u0627\u0646\u062a\u0627\u062c\u064a\u0629 (GAN). \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646\u0629 (LDM)\u060c \u0645\u0639 \u0639\u0631\u0636 \u0623\u062f\u0627\u0621 \u0643\u0634\u0641 \u0642\u0648\u064a \u0639\u0628\u0631 \u0639\u062f\u0629 \u0637\u0631\u0642 \u062a\u0648\u0644\u064a\u062f\u064a\u0629 \u0623\u062e\u0631\u0649. \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "synthetic_image_detection_alert_2": " \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "synthetic_image_detection_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0635\u0648\u0631\u0629 \u0645\u062a\u0627\u062d\u0629 \u0639\u0644\u0646\u064a\u0627\u064b \u0628\u0623\u0628\u0639\u0627\u062f \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_error_generic": "\u062d\u062f\u062b \u062e\u0637\u0623. \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0648 \u062c\u0631\u0628 \u0635\u0648\u0631\u0629 \u0645\u062e\u062a\u0644\u0641\u0629.", "synthetic_image_detection_algorithms_errors": "\u0623\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0642\u062f \u0639\u0627\u062f\u062a \u0628\u0623\u062e\u0637\u0627\u0621. \u0642\u062f \u062a\u0643\u0648\u0646 \u0627\u0644\u062a\u062d\u0644\u064a\u0644\u0627\u062a \u063a\u064a\u0631 \u0645\u0643\u062a\u0645\u0644\u0629. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0647\u0627 \u0623\u0628\u0639\u0627\u062f \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_not_found": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0634\u0641", "submit_button": "\u0625\u0631\u0633\u0627\u0644", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "synthetic_image_detection_gauge_detection": "\u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_gauge_no_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0643\u0634\u0641", "synthetic_image_detection_additional_results": "\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_additional_results_hide": "\u0625\u062e\u0641\u0627\u0621 \u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_rating": "\u062a\u0648\u0636\u064a\u062d: \u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0627\u0634\u0641 veraAI \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0645\u0633\u0627\u0639\u062f InVID-WeVerify\u062a\u0641\u0633\u064a:", "synthetic_image_detection_rating_4": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_3": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646\u0647\u0627 \u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_rating_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_button_copy_text_1": "\u0646\u0633\u062e \u0627\u0644\u0646\u0635", "synthetic_image_detection_button_copy_text_2": "\u062a\u0645 \u0646\u0633\u062e \u0627\u0644\u0646\u0635!", "synthetic_image_detection_alert_label_4": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u064b\u0627", "synthetic_image_detection_alert_label_3": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629", "synthetic_image_detection_alert_label_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_alert_label_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_probability_text": "\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629:", "synthetic_image_detection_generic_detection_text": "\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0635\u0648\u0631\u0629 \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a", "synthetic_image_detection_scale_explanation_link": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_title": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50 % - \u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550 % - \u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627\u064b (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_download_gauge_button": "\u062a\u062d\u0645\u064a\u0644 \u0645\u062e\u0637\u0637 \u0627\u0644\u0642\u064a\u0627\u0633 \u0643\u0645\u0644\u0641 jpeg"} \ No newline at end of file +{"synthetic_image_detection_label": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0648\u0633\u0627\u0626\u0637", "synthetic_image_detection_name": "\u0643\u0634\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_placeholder": "\u0627\u0644\u0635\u0642 \u0639\u0646\u0648\u0627\u0646 URL \u0647\u0646\u0627", "synthetic_image_detection_results": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0645\u0642\u0637\u0639 \u0627\u0644\u0645\u062d\u062f\u062f", "synthetic_image_detection_link": "\u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0627\u0644\u062a\u0648\u0644\u064a\u062f\u064a\u0629 (GAN).", "synthetic_image_detection_diffusion_name": "\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646", "synthetic_image_detection_diffusion_description": "\u062a\u0647\u062f\u0641 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0625\u0644\u0649 \u0627\u0643\u062a\u0634\u0627\u0641 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0635\u0648\u0631\u0629 \u0642\u062f \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0634\u0628\u0643\u0629 \u0639\u0635\u0628\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c ProGAN \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "\u064a\u0645\u0643\u0646 \u0644\u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0634\u0643\u0644 \u0643\u0627\u0645\u0644 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 ADMs \u0623\u0648 \u0647\u0646\u062f\u0633\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629. \u062a\u0639\u062a\u0628\u0631 \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u062a\u063a\u064a\u0631\u0629 \u0645\u0646 ResNet50 \u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0637\u0628\u0642\u0629 \u0628\u062f\u0627\u064a\u0629 \u0644\u0627\u0633\u062a\u062e\u0631\u0627\u062c \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0648\u0628\u062f\u0648\u0646 \u062a\u062e\u0641\u064a\u0636 \u0641\u064a \u0627\u0644\u0637\u0628\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649. \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0633 \u0645\u0639\u062a\u0645\u062f\u064b\u0627 \u0645\u0633\u0628\u0642\u064b\u0627 \u0648\u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u062a\u0639\u0632\u064a\u0632\u0627\u062a \u0642\u0648\u064a\u0629 \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u063a\u0637 \u0648\u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0627\u0644\u063a\u0627\u0648\u0633\u064a\u0629 \u0648\u0627\u0644\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u0644\u0647\u0646\u062f\u0633\u064a\u0629 \u0648\u0627\u0644\u0642\u0637\u0639 \u0648\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u0633\u0637\u0648\u0639 \u0648\u0627\u0644\u062a\u0628\u0627\u064a\u0646.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0634\u0628\u0643\u0627\u062a \u0627\u0644\u062e\u0635\u0645 \u0627\u0644\u0627\u0646\u062a\u0627\u062c\u064a\u0629 (GAN). \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "\u064a\u0643\u062a\u0634\u0641 \u0647\u0630\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629 \u0628\u0627\u0644\u0643\u0627\u0645\u0644. \u0625\u0646\u0647 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0635\u0648\u0631 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062a\u0634\u0627\u0631 \u0627\u0644\u0643\u0627\u0645\u0646\u0629 (LDM)\u060c \u0645\u0639 \u0639\u0631\u0636 \u0623\u062f\u0627\u0621 \u0643\u0634\u0641 \u0642\u0648\u064a \u0639\u0628\u0631 \u0639\u062f\u0629 \u0637\u0631\u0642 \u062a\u0648\u0644\u064a\u062f\u064a\u0629 \u0623\u062e\u0631\u0649. \u062a\u0633\u062a\u062e\u0631\u062c \u062a\u0642\u0646\u064a\u0629 CLIP (\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0645\u0633\u0628\u0642 \u0628\u0627\u0644\u0644\u063a\u0629 \u0648\u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646\u064a) \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0627\u0644\u0635\u0648\u0631\u0629.", "synthetic_image_detection_title": "\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_alert": " \u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0639\u0644\u0649 \u0623\u0646\u0647\u0627 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0644\u0641 \u062a\u0645", "synthetic_image_detection_alert_2": " \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629", "synthetic_image_detection_error_400": "\u062e\u0637\u0623: \u0631\u0627\u0628\u0637 \u0627\u0644\u0635\u0648\u0631\u0629 \u063a\u064a\u0631 \u0635\u0627\u0644\u062d. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646\u0647 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0635\u0648\u0631\u0629 \u0645\u062a\u0627\u062d\u0629 \u0639\u0644\u0646\u064a\u0627\u064b \u0628\u0623\u0628\u0639\u0627\u062f \u062a\u062a\u0631\u0627\u0648\u062d \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_error_generic": "\u062d\u062f\u062b \u062e\u0637\u0623. \u064a\u0631\u062c\u0649 \u0627\u0644\u0645\u062d\u0627\u0648\u0644\u0629 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0648 \u062c\u0631\u0628 \u0635\u0648\u0631\u0629 \u0645\u062e\u062a\u0644\u0641\u0629.", "synthetic_image_detection_algorithms_errors": "\u0623\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0642\u062f \u0639\u0627\u062f\u062a \u0628\u0623\u062e\u0637\u0627\u0621. \u0642\u062f \u062a\u0643\u0648\u0646 \u0627\u0644\u062a\u062d\u0644\u064a\u0644\u0627\u062a \u063a\u064a\u0631 \u0645\u0643\u062a\u0645\u0644\u0629. \u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0647\u0627 \u0623\u0628\u0639\u0627\u062f \u0628\u064a\u0646 128x128 \u0648 2000x2000 \u0628\u0643\u0633\u0644.", "synthetic_image_detection_not_found": "\u0644\u0645 \u064a\u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0634\u0641", "submit_button": "\u0625\u0631\u0633\u0627\u0644", "button_localfile": "\u0645\u0644\u0641 \u0645\u062d\u0644\u064a", "synthetic_image_detection_gauge_detection": "\u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_gauge_no_detection": "\u0644\u0627 \u064a\u0648\u062c\u062f \u0643\u0634\u0641", "synthetic_image_detection_additional_results": "\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_additional_results_hide": "\u0625\u062e\u0641\u0627\u0621 \u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0643\u0634\u0641", "synthetic_image_detection_rating": "\u062a\u0648\u0636\u064a\u062d: \u062a\u0645 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0643\u0627\u0634\u0641 veraAI \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0645\u0633\u0627\u0639\u062f InVID-WeVerify\u062a\u0641\u0633\u064a:", "synthetic_image_detection_rating_4": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_3": "\u062f\u0644\u0627\u0626\u0644 \u0642\u0648\u064a\u0629 \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629", "synthetic_image_detection_rating_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646\u0647\u0627 \u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_rating_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0642\u0627\u0637\u0639\u0629) \u062a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0635\u0648\u0631\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0627\u0635\u0637\u0646\u0627\u0639\u064a\u0629. \u0644\u0627 \u064a\u0636\u0645\u0646 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0623\u0646 \u0627\u0644\u0635\u0648\u0631\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0645\u062d\u0631\u0641\u0629 \u0628\u0639\u062f \u0630\u0644\u0643.", "synthetic_image_detection_button_copy_text_1": "\u0646\u0633\u062e \u0627\u0644\u0646\u0635", "synthetic_image_detection_button_copy_text_2": "\u062a\u0645 \u0646\u0633\u062e \u0627\u0644\u0646\u0635!", "synthetic_image_detection_alert_label_4": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u064b\u0627", "synthetic_image_detection_alert_label_3": "\u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629", "synthetic_image_detection_alert_label_2": "\u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_alert_label_1": "\u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_probability_text": "\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629:", "synthetic_image_detection_generic_detection_text": "\u062a\u0645 \u0627\u0643\u062a\u0634\u0627\u0641 \u0635\u0648\u0631\u0629 \u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a", "synthetic_image_detection_scale_explanation_link": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_title": "\u0645\u0627\u0630\u0627 \u062a\u0639\u0646\u064a \u0623\u0644\u0648\u0627\u0646 \u0627\u0644\u0639\u062f\u0627\u062f\u061f", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50 % - \u0623\u062f\u0644\u0629 \u0636\u0639\u064a\u0641\u0629 (\u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550 % - \u0623\u062f\u0644\u0629 \u0645\u0639\u062a\u062f\u0644\u0629 (\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u0644\u0643\u0646 \u063a\u064a\u0631 \u0646\u0647\u0627\u0626\u064a\u0629)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590 % - \u0623\u062f\u0644\u0629 \u0642\u0648\u064a\u0629 \u062c\u062f\u0627\u064b (\u062a\u0645 \u0625\u0646\u0634\u0627\u0624\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a)", "synthetic_image_detection_download_gauge_button": "\u062a\u062d\u0645\u064a\u0644 \u0645\u062e\u0637\u0637 \u0627\u0644\u0642\u064a\u0627\u0633 \u0643\u0645\u0644\u0641 jpeg"} \ No newline at end of file diff --git a/public/locales/en/components/NavItems/ClassRoom.json b/public/locales/en/components/NavItems/ClassRoom.json index 67071ed63..cdf1ff059 100644 --- a/public/locales/en/components/NavItems/ClassRoom.json +++ b/public/locales/en/components/NavItems/ClassRoom.json @@ -1 +1 @@ -{"classroom_introduction": "Introduction", "introduction_title1": "A classroom to teach visual literacy", "introduction_para1": "Our goal is to help you to use this extension in your teaching. On this page you will find resources for media education: proposals of pedagogical practices, videos on disinformation, a serious game to learn how to use various tools to track down the manipulation of images and videos.", "introduction_title2": "Teaching information verification and critical thinking", "introduction_para2": "Verification is twofold. You can verify the digital object itself through visual examination (the tool magnifier provides an effective way to examine an image or a video frame), through its metadata (through the metadata reader), or forensic analysis (analysis of the signal treatment to reveal an eventual tampering). You can also verify the context of that digital object (who is talking about it, how is it indexed by leading search engines), through the Analysis or Keyframes feature.", "introduction_title3": "Where to start ?", "introduction_para3": "You can start by looking at the Tutorial page to learn about the toolbox. Then, we provide you in this classroom item with a teaching tab.", "introduction_title4": "Demo as a sandbox", "introduction_para4": "The Demo feature is a good way to start learning how to verify pictures and videos.", "introduction_title5": "In case of troubleshooting ?", "introduction_para5": "You can consult the Tutorial page. There is a video explainer for each tool of the plug-in. If you are in trouble or if some of the tools is not working properly, use the feedback button on the right. Do not forget to give us your email address if you expect an answer and to provide a link if you have an issue with some particular media file.", "classroom_teaching": "Teaching", "classroom_gamification": "Game 1", "classroom_gamification_2": "Game 2", "gamification_url": "https://view.genial.ly/5ebd550432a04c0d96b6da63", "gamification_url_2": "https://view.genial.ly/5ebd550432a04c0d96b6da63", "teaching_url": "https://docs.google.com/presentation/d/e/2PACX-1vTYjPP42BGGB5qmy1bdE3Bn0_Syj7AIP9GxL7PrErSKT5jq-j8f_BxWCQpFInjMrjyu9fzdUwz012T7/embed?start=false&loop=false&delayms=3000", "classroom_title": "Classroom", "classroom_title_1": "Five ways to spot fake news (Quartz)", "classroom_url_1": "https://www.youtube.com/embed/y7eCB2F89K8?rel=0", "classroom_title_2": "Helping students fighting disinformation", "classroom_url_2": "https://www.youtube.com/embed/xf8mjbVRqao?rel=0", "classroom_title_3": "How to spot fake news (Factcheck.org)", "classroom_url_3": "https://www.youtube.com/embed/AkwWcHekMdo?rel=0", "classroom_title_4": "How disinformation works (WIRED)", "classroom_url_4": "https://www.youtube.com/embed/frjITitjisY?rel=0", "classroom_title_5": "Figthing disinformation in the classroom (CBC News)", "classroom_url_5": "https://www.youtube.com/embed/MeMp_E5dl4M?rel=0", "remote_resources_title": "Educational Resources", "user_resources_title": "Your content", "display": "Display", "user_resources_intro": "This section allows you to broadcast your own lessons stored on Internet", "user_resources_intro_remote": "Enter the url of a YouTube, Twitter, Facebook public video or an website (see examples below):", "api_input": "Copy and paste a Youtube or Facebook url", "close": "Close", "game_resources_title": "Gamification", "game_resources_intro": "Serious game about using the verification plugin", "game_resources_url": "", "examples": "Examples :", "youtube_example": "Youtube: https://www.youtube.com/embed/5wRv8boqIEc", "twitter_example": "Twitter: https://video.twimg.com/amplify_video/1055750649462308866/vid/640x360/yqQIZj-jHZRxl0i2.mp4", "website_example": "Website: https://weverify.eu/verification-plugin/", "glossary_title": "Glossary", "glossary_word_1": "fake news", "glosary_definition_1": "false stories that appear to be news, spread on the internet or using other media, usually created to influence political views or as a joke (Cambridge dictionary)", "glossary_word_2": "disinformation", "glosary_definition_2": "false information spread in order to deceive people", "glossary_word_3": "misinformation", "glosary_definition_3": "wrong information (often unintentional), or the fact that people are misinformed. (from Cambridge Dict.)", "classroom_game": "Quiz", "youverify_link": "https://youverify.eu", "quiz_url": "https://view.genial.ly/624c2acc073b7e001725b541"} \ No newline at end of file +{"classroom_introduction": "Introduction", "introduction_title1": "A classroom to teach visual literacy", "introduction_para1": "Our goal is to help you to use this extension in your teaching. On this page you will find resources for media education: proposals of pedagogical practices, videos on disinformation, a serious game to learn how to use various tools to track down the manipulation of images and videos.", "introduction_title2": "Teaching information verification and critical thinking", "introduction_para2": "Verification is twofold. You can verify the digital object itself through visual examination (the tool magnifier provides an effective way to examine an image or a video frame), through its metadata (through the metadata reader), or forensic analysis (analysis of the signal treatment to reveal an eventual tampering). You can also verify the context of that digital object (who is talking about it, how is it indexed by leading search engines), through the Analysis or Keyframes feature.", "introduction_title3": "Where to start ?", "introduction_para3": "You can start by looking at the Tutorial page to learn about the toolbox. Then, we provide you in this classroom item with a teaching tab.", "introduction_title4": "Demo as a sandbox", "introduction_para4": "The Demo feature is a good way to start learning how to verify pictures and videos.", "introduction_title5": "In case of troubleshooting ?", "introduction_para5": "You can consult the Tutorial page. There is a video explainer for each tool of the plug-in. If you are in trouble or if some of the tools is not working properly, use the feedback button on the right. Do not forget to give us your email address if you expect an answer and to provide a link if you have an issue with some particular media file.", "classroom_teaching": "Teaching", "classroom_gamification": "Game 1", "classroom_gamification_2": "Game 2", "gamification_url": "https://view.genial.ly/5ebd550432a04c0d96b6da63", "gamification_url_2": "https://view.genial.ly/5ebd550432a04c0d96b6da63", "teaching_url": "https://docs.google.com/presentation/d/e/2PACX-1vTYjPP42BGGB5qmy1bdE3Bn0_Syj7AIP9GxL7PrErSKT5jq-j8f_BxWCQpFInjMrjyu9fzdUwz012T7/embed?start=false&loop=false&delayms=3000", "classroom_title": "Classroom", "classroom_title_1": "Five ways to spot fake news (Quartz)", "classroom_url_1": "https://www.youtube.com/embed/y7eCB2F89K8?rel=0", "classroom_title_2": "Helping students fighting disinformation", "classroom_url_2": "https://www.youtube.com/embed/xf8mjbVRqao?rel=0", "classroom_title_3": "How to spot fake news (Factcheck.org)", "classroom_url_3": "https://www.youtube.com/embed/AkwWcHekMdo?rel=0", "classroom_title_4": "How disinformation works (WIRED)", "classroom_url_4": "https://www.youtube.com/embed/frjITitjisY?rel=0", "classroom_title_5": "Figthing disinformation in the classroom (CBC News)", "classroom_url_5": "https://www.youtube.com/embed/MeMp_E5dl4M?rel=0", "remote_resources_title": "Educational Resources", "user_resources_title": "Your content", "display": "Display", "user_resources_intro": "This section allows you to broadcast your own lessons stored on Internet", "user_resources_intro_remote": "Enter the url of a YouTube, Twitter, Facebook public video or an website (see examples below):", "api_input": "Copy and paste a Youtube, Facebook or Twitter url", "close": "Close", "game_resources_title": "Gamification", "game_resources_intro": "Serious game about using the verification plugin", "game_resources_url": "", "examples": "Examples :", "youtube_example": "Youtube: https://www.youtube.com/embed/5wRv8boqIEc", "twitter_example": "Twitter: https://video.twimg.com/amplify_video/1055750649462308866/vid/640x360/yqQIZj-jHZRxl0i2.mp4", "website_example": "Website: https://weverify.eu/verification-plugin/", "glossary_title": "Glossary", "glossary_word_1": "fake news", "glosary_definition_1": "false stories that appear to be news, spread on the internet or using other media, usually created to influence political views or as a joke (Cambridge dictionary)", "glossary_word_2": "disinformation", "glosary_definition_2": "false information spread in order to deceive people", "glossary_word_3": "misinformation", "glosary_definition_3": "wrong information (often unintentional), or the fact that people are misinformed. (from Cambridge Dict.)", "classroom_game": "Quiz", "youverify_link": "https://youverify.eu", "quiz_url": "https://view.genial.ly/624c2acc073b7e001725b541"} \ No newline at end of file diff --git a/public/locales/en/components/NavItems/tools/Alltools.json b/public/locales/en/components/NavItems/tools/Alltools.json index aaa0815f3..0d4e25f69 100644 --- a/public/locales/en/components/NavItems/tools/Alltools.json +++ b/public/locales/en/components/NavItems/tools/Alltools.json @@ -1 +1 @@ -{"navbar_tools": "Tools", "navbar_analysis_video": "Video analysis", "navbar_analysis_image": "Image analysis", "navbar_keyframes": "Keyframes", "navbar_thumbnails": "Thumbnails", "navbar_twitter": "X search", "navbar_magnifier": "Magnifier", "navbar_metadata": "Metadata", "navbar_rights": "Video rights", "navbar_forensic": "Forensic", "navbar_twitter_sna": "Twitter SNA.", "navbar_ocr": "OCR", "navbar_covidsearch": "Factchecks", "navbar_xnetwork": "XNetwork", "navbar_gif": "CheckGif", "navbar_twitter_sna_description": "It performs social network analysis on Twitter (on registration; deprecated since July 1st 2023 due to X/Twitter code changes)", "navbar_archiving": "Archiving", "navbar_analysis_description": "It brings you the contextual information of a Youtube or public Facebook video. Twitter does not work anymore due to their change of API policy.", "navbar_analysis_image_description": "It brings you contextual information of an image posted on Facebook.", "navbar_keyframes_description": "It fragments a YouTube or a Facebook public video into keyframes for reverse image search", "navbar_thumbnails_description": "It extracts and performs a reverse search of the thumbnails of a Youtube video", "navbar_twitter_description": "It performs advanced search queries on X (ex-Twitter) including by time interval up to the minute", "navbar_magnifier_description": "It provides a magnifying lens and a photo editor to help you examine an image thoroughly", "navbar_metadata_description": "It extract metadata for jpeg images and videos (in mp4 or m4v format)", "navbar_rights_description": "It provides information about the legal rights of a Youtube or Twitter video", "navbar_forensic_description": "It provides an enhanced toolkit to detect image forgeries", "navbar_covidsearch_description": "It provides a customised search engine of Factchecks.", "navbar_xnetwork_description": "It provides a customised search engine for cross-network queries.", "navbar_ocr_description": "It provides optical character recognition for texts in images", "navbar_gif_description": "It compares an original image and a tampered one (including if the image has been cropped) and generates a GIF as output", "navbar_archiving_description": "Archive web pages to the Wayback Machine", "api_help_video": "https://www.youtube.com/embed/eEVTYq1LMxM?rel=0", "keyframes_help_video": "https://www.youtube.com/embed/iNs8y5DoxP8?rel=0", "thumbnails_help_video": "https://www.youtube.com/embed/Vn0XGlOkSRQ?rel=0", "twitter_help_video": "https://www.youtube.com/embed/wzMCtpENuHA?rel=0", "magnifier_help_video": "https://www.youtube.com/embed/JljRs8p4aK4?rel=0", "metadata_help_video": "https://www.youtube.com/embed/Mg6Z-Jc54yo?rel=0", "copyright_help_video": "https://www.youtube.com/embed/NjTXsbF5Wu8?rel=0", "forensic_help_video": "https://www.youtube.com/embed/de862rAPne4?rel=0", "close": "Close", "category_video": "Video", "category_image": "Image", "category_audio": "Audio", "category_search": "Search", "category_data": "Data analysis", "category_other": "Other tools", "navbar_conversation": "Twitter Conversation", "navbar_conversation_description": "It provides a straightforward way of exploring a Twitter based conversation.", "navbar_twitter_crowdtangle": "CSV Analysis", "navbar_twitter_crowdtangle_description": "It performs social network analysis from a CrowdTangle export", "navbar_deepfake_image": "Deepfake", "navbar_deepfake_image_description": "It tries to detect if an image has been manipulated through face swapping.", "navbar_geolocation": "Geolocalizer", "navbar_geolocation_description": "Is uses an algorithm to try to geolocalize an image", "navbar_deepfake_video": "Deepfake", "navbar_deepfake_video_description": "It uses a machine learning classifier which returns the probability that a video contains AI manipulated faces (face swapping and face reenactment).", "navbar_synthetic_image_detection": "Synthetic image", "navbar_synthetic_image_detection_description": "It returns the probability whether an image is AI-generated", "navbar_loccus": "Loccus", "navbar_loccus_description": "It detects AI-generated text-to-speech (voice cloning by technological means)", "navbar_semantic_search": "Fact Check semantic search", "navbar_semantic_search_description": "A semantic search engine for fact checks."} \ No newline at end of file +{"navbar_tools": "Tools", "navbar_analysis_video": "Video analysis", "navbar_analysis_image": "Image analysis", "navbar_keyframes": "Keyframes", "navbar_thumbnails": "Thumbnails", "navbar_twitter": "X search", "navbar_magnifier": "Magnifier", "navbar_metadata": "Metadata", "navbar_rights": "Video rights", "navbar_forensic": "Forensic", "navbar_twitter_sna": "Twitter SNA.", "navbar_ocr": "OCR", "navbar_covidsearch": "Factchecks", "navbar_xnetwork": "XNetwork", "navbar_gif": "CheckGif", "navbar_twitter_sna_description": "It performs social network analysis on Twitter (on registration; deprecated since July 1st 2023 due to X/Twitter code changes)", "navbar_archiving": "Archiving", "navbar_analysis_description": "It brings you the contextual information of a Youtube or public Facebook video. Twitter does not work anymore due to their change of API policy.", "navbar_analysis_image_description": "It brings you contextual information of an image posted on Facebook or Twitter", "navbar_keyframes_description": "It fragments a YouTube or a Facebook public video into keyframes for reverse image search", "navbar_thumbnails_description": "It extracts and performs a reverse search of the thumbnails of a Youtube video", "navbar_twitter_description": "It performs advanced search queries on X (ex-Twitter) including by time interval up to the minute", "navbar_magnifier_description": "It provides a magnifying lens and a photo editor to help you examine an image thoroughly", "navbar_metadata_description": "It extract metadata for jpeg images and videos (in mp4 or m4v format)", "navbar_rights_description": "It provides information about the legal rights of a Youtube or Twitter video", "navbar_forensic_description": "It provides an enhanced toolkit to detect image forgeries", "navbar_covidsearch_description": "It provides a customised search engine of Factchecks.", "navbar_xnetwork_description": "It provides a customised search engine for cross-network queries.", "navbar_ocr_description": "It provides optical character recognition for texts in images", "navbar_gif_description": "It compares an original image and a tampered one (including if the image has been cropped) and generates a GIF as output", "navbar_archiving_description": "Archive web pages to the Wayback Machine", "api_help_video": "https://www.youtube.com/embed/eEVTYq1LMxM?rel=0", "keyframes_help_video": "https://www.youtube.com/embed/iNs8y5DoxP8?rel=0", "thumbnails_help_video": "https://www.youtube.com/embed/Vn0XGlOkSRQ?rel=0", "twitter_help_video": "https://www.youtube.com/embed/wzMCtpENuHA?rel=0", "magnifier_help_video": "https://www.youtube.com/embed/JljRs8p4aK4?rel=0", "metadata_help_video": "https://www.youtube.com/embed/Mg6Z-Jc54yo?rel=0", "copyright_help_video": "https://www.youtube.com/embed/NjTXsbF5Wu8?rel=0", "forensic_help_video": "https://www.youtube.com/embed/de862rAPne4?rel=0", "close": "Close", "category_video": "Video", "category_image": "Image", "category_audio": "Audio", "category_search": "Search", "category_data": "Data analysis", "category_other": "Other tools", "navbar_conversation": "Twitter Conversation", "navbar_conversation_description": "It provides a straightforward way of exploring a Twitter based conversation.", "navbar_twitter_crowdtangle": "CSV Analysis", "navbar_twitter_crowdtangle_description": "It performs social network analysis from a CrowdTangle export", "navbar_deepfake_image": "Deepfake", "navbar_deepfake_image_description": "It tries to detect if an image has been manipulated through deepfake techniques (mainly face manipulation)", "navbar_geolocation": "Geolocalizer", "navbar_geolocation_description": "Is uses an algorithm to try to geolocalize an image", "navbar_deepfake_video": "Deepfake", "navbar_deepfake_video_description": "It uses a machine learning classifier which returns the probability that a video contains AI manipulated faces (face swapping and face reenactment).", "navbar_synthetic_image_detection": "Synthetic image", "navbar_synthetic_image_detection_description": "It returns the probability whether an image is AI-generated", "navbar_loccus": "Loccus", "navbar_loccus_description": "It detects AI-generated text-to-speech (voice cloning by technological means)", "navbar_semantic_search": "Fact Check semantic search", "navbar_semantic_search_description": "A semantic search engine for fact checks."} \ No newline at end of file diff --git a/public/locales/en/components/NavItems/tools/Deepfake.json b/public/locales/en/components/NavItems/tools/Deepfake.json index 3c77525e9..bc3c4bf9a 100644 --- a/public/locales/en/components/NavItems/tools/Deepfake.json +++ b/public/locales/en/components/NavItems/tools/Deepfake.json @@ -1 +1 @@ -{"deepfake_label": "Media link", "deepfake_name": "Deepfake", "deepfake_placeholder": "Paste the URL here", "deepfake_support": "Your browser does not support the video tag.", "deepfake_clips": "Clips of the video", "deepfake_select": "Select a shot to see the analysis results of that clip", "deepfake_clip": "Clip selected", "deepfake_faces": "Faces recognized", "deepfake_video": "Video analyzed", "deepfake_results": "Results of the clip selected", "deepfake_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible", "deepfake_error_500": "Service internal error", "deepfake_error_413": "The file is too large", "deepfake_error_422": "The file is too large", "deepfake_image_link": "Image link", "deepfake_video_link": "Video link", "deepfake_title_what": "What are Thumbnails", "deepfake_filters_explanation_image": "Explanation image", "deepfake_filters_explanation_video": "Explanation video", "deepfake_image_title": "Detection results", "deepfake_image_faceswap_name": "Faceswap", "deepfake_image_faceswap_description": "This method aims to detect if the person's face has been replaced in the picture.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "deepfake_image_diffusion_name": "Latent Diffusion model", "deepfake_image_diffusion_description": "This method aims to detect if the image has been generated through a latent diffusion model neural network.", "deepfake_image_detection_alert": "This image has been detected as generated with a ", "deepfake_image_detection_alert_2": "algorithm", "deepfake_video_title": "Detection results", "deepfake_video_videoreport_name": "Mever Deepfake Video detector", "deepfake_video_videoreport_description": "This method aims to detect if the person's face has been replaced in the video.", "deepfake_video_ftcn_name": "Fully Temporal Convolution Network", "deepfake_video_ftcn_description": "This method aims to detect temporal anomalies for videos with faces.", "deepfake_video_facereenact_name": "Face Reenactment", "deepfake_video_facereenact_description": "This method aims to detect if the faces in the video have been synthesized with a transfer from a source face shape to a target face while preserving the appearance and the identity of the target face.", "deepfake_video_detection_alert": "This video has been detected as generated with a ", "deepfake_video_detection_alert_2": "algorithm", "button_remove": "Remove", "deepfake_no_face_detection": "No face detected", "button_localfile": "Local file", "submit_button": "Submit"} \ No newline at end of file +{"deepfake_label": "Media link", "deepfake_name": "Deepfake", "deepfake_placeholder": "Paste the URL here", "deepfake_support": "Your browser does not support the video tag.", "deepfake_clips": "Clips of the video", "deepfake_select": "Select a shot to see the analysis results of that clip", "deepfake_clip": "Clip selected", "deepfake_faces": "Faces recognized", "deepfake_video": "Video analyzed", "deepfake_results": "Results of the clip selected", "deepfake_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible", "deepfake_error_500": "Service internal error", "deepfake_error_413": "The file is too large", "deepfake_error_422": "The file is too large", "deepfake_image_link": "Image link", "deepfake_video_link": "Video link", "deepfake_title_what": "What are Thumbnails", "deepfake_filters_explanation_image": "Explanation image", "deepfake_filters_explanation_video": "Explanation video", "deepfake_image_title": "Detection results", "deepfake_image_faceswap_name": "Faceswap", "deepfake_image_faceswap_description": "This method aims to detect if the person's face has been replaced in the picture.", "deepfake_image_gan_name": "GAN", "deepfake_image_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "deepfake_image_diffusion_name": "Latent Diffusion model", "deepfake_image_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "deepfake_image_detection_alert": "This image has been detected as generated with a ", "deepfake_image_detection_alert_2": "algorithm", "deepfake_video_title": "Detection results", "deepfake_video_videoreport_name": "Mever Deepfake Video detector", "deepfake_video_videoreport_description": "This method aims to detect if the person's face has been replaced in the video.", "deepfake_video_ftcn_name": "Fully Temporal Convolution Network", "deepfake_video_ftcn_description": "This method aims to detect temporal anomalies for videos with faces.", "deepfake_video_facereenact_name": "Face Reenactment", "deepfake_video_facereenact_description": "This method aims to detect if the faces in the video have been synthesized with a transfer from a source face shape to a target face while preserving the appearance and the identity of the target face.", "deepfake_video_detection_alert": "This video has been detected as generated with a ", "deepfake_video_detection_alert_2": "algorithm", "button_remove": "Remove", "deepfake_no_face_detection": "No face detected", "button_localfile": "Local file", "submit_button": "Submit"} \ No newline at end of file diff --git a/public/locales/en/components/NavItems/tools/Forensic.json b/public/locales/en/components/NavItems/tools/Forensic.json index b995498d7..64b6b8e0c 100644 --- a/public/locales/en/components/NavItems/tools/Forensic.json +++ b/public/locales/en/components/NavItems/tools/Forensic.json @@ -1 +1 @@ -{"forensic_title": "Image forensic analysis", "forensic_input": "Image URL link", "button_localfile": "Local file", "button_submit": "Analyze", "cardheader_source": "Image link or file", "linkmode_title": "Link mode", "linkmode_description": "Provide a URL Link towards a jpeg / jpg image", "filemode_title": "File mode", "filemode_description": "The image to analyze is provided with a local file", "please_give_a_correct_link": "Please give a correct link", "forensic_error_unsupported_file": "The submitted URL is an unsupported image file, e.g. gif image or video", "forensic_error_image_url_error": "The submitted URL is an image file but it could not be processed, it may be due to network problem or platform restrictions", "forensic_error_url_error": "The submitted URL could not be cached, it may be due to network problem, usage restrictions or a corrupted URL path", "forensic_error_hash_not_found": "An unknown issue occured. Please check the URL and try again", "forensic_error_empty_parameter": "An unknown issue occured. Please check the URL and try again", "forensic_error_missing_image_report": "The image was not submitted. Please check the URL and try again", "forensic_error_analysis_not_triggered": "The analysis has not been triggered for this image. Please check the URL and try again", "forensic_error_404": "Service not found", "forensic_error_500": "Service internal error", "forensic_error_undefined": "Service error", "forensic_error_bad_request_download_error": "Please give a correct link", "forensic_error_bad_request_invalid_algorithm": "Service API error", "forensic_title_adq1_report": "Double Quantization", "forensic_title_ela_report": "Error Level Analysis", "forensic_title_median_report": "Median Noise", "forensic_title_dct_report": "DCT", "forensic_title_cagiNormal": "CAGI", "forensic_title_cagiInversed": "CAGI-Inversed", "forensic_title_wavelet_report": "WAVELET", "forensic_title_blk_report": "BLOCK", "forensic_title_ghost_report": "GHOST", "forensic_card_info": "Infos", "forensic_card_back": "Back", "forensic_card_adq1_report": "Double Quantization inconsistencies occur when a foreign object is inserted in a JPEG image. When the new image is saved, the untampered part of the image will have been compressed twice, while the inserted region only once. In this case, the tampered area should appear ligth-coloured (see the scale) while the rest of the image remains dark. If other colors are present (green, blue) then no conclusion can be made. Also, the light-coloured region must be object-like : spurious light dots scattered across the image should be ignored.", "forensic_card_ela_report": "Error Level Analysis is produced by recompressing the image as a JPEG of quality 75 and subtracting the new image from the old. The resulting image of differences is then enhanced and displayed. Areas of interest are those with higher values than other similar parts of the image. Only similar regions should be compared, i.e. edges should be compared to edges, textures to textures, and uniform regions to uniform regions. Color discrepancies (commonly blue regions) are also generally suspicious. ELA is an enhancer and is not enough to conclude about an image forgery.", "forensic_card_median_report": "Median Noise Residuals is based on isolating the almost-invisible image noise through median filtering. When interpreting the results, areas of interest are those that return higher (i.e. brighter) values than other similar parts of the image. Only similar regions should be compared, i.e. edges should be compared to edges, textures to textures, and uniform regions to uniform regions. Media Noise is an enhancer and is not enough to conclude about an image forgery.", "forensic_card_dct_report": "When tampering takes place in a JPEG image, the Discrete Cosinus Transform (DCT) coefficients (a mathematical operation) may be locally disturbed. Regions that stand out (white or light-green) against a black background may correspond to tampering. The reverse may also hint towards a tampering, i.e. certain regions appearing bluer against a black background.", "forensic_card_cagiNormal": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The GRIDS algorithm seeks such discrepancies, and highlights them locally. The algorithm produces local white/light-green or light-blue blobs where it detects grid discrepancies. Generally, the GRIDS algorithm is less distracted by textures in the image, and focuses on grid disturbances. However, it should mostly be interpreted in combination with other outputs that highlight the same regions.", "forensic_card_cagiInversed": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The GRIDS-Inverse algorithm is complementary to GRIDS in seeking such discrepancies. The algorithm produces local blue \u201cblobs\u201d where it detects grid discrepancies. Generally, the GRIDS algorithm is less distracted by textures in the image, and focuses on grid disturbances. However, it should mostly be interpreted in combination with other algorithm outputs that highlight the same regions.", "forensic_card_wavelet_report": "Each image carries invisible, high-frequency noise that is the result of the capturing process as well as the compression. The Discrete Wavelet Noise algorithm filters the image and calculates the local noise distribution at each part of the image. Regions that differ from the rest of the image are highlighted in strong white, and are likely to originate from other images. As this algorithm is often misguided by differences in texture and focus, it is best interpreted in combination with other algorithms.", "forensic_card_blk_report": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The BLOCK algorithm detects the image grid and looks for local discrepancies. Any coherent region with different color to its surroundings may correspond to tampering, although white and light-green against a dark background are the most typical indication of tampering. As this algorithm is often misguided by differences in texture and focus, it is best interpreted in combination with other algorithms.", "forensic_card_ghost_report": "The JPEG Ghosts algorithm is based on recompressing the image in multiple different qualities and subtracting each of them from the original. The resulting difference images are post-processed to highlight regions that stand out and are likely to originate from a different JPEG image. Then, the images most likely to contain interesting findings are selected (i.e. those that feature localized inconsistencies). Consistent white, light-green or light-blue regions against a black background may correspond to traces of tampering, especially if they do not correspond to edges, but to entire regions.", "applied_filter": "Applied filter :", "apply_filter": "apply filter", "forensic_title_none": "None", "clear_filter": "Clear Filter", "forensic_ratio_b_landscape": "Portrait", "forensic_ratio_b_portrait": "Landscape", "forensic_title_cmfd_report": "CMFD", "forensic_title_fusion_report": "FUSION", "forensic_title_mantranet_report": "Mantranet", "forensic_title_splicebuster_report": "Splicebuster", "forensic_title_zero_report": "Zero", "forensic_title_laplacian_report": "Laplacian", "forensic_title_rcmfd_report": "RCMFD", "forensic_family_compression_title": "Compression", "forensic_family_compression_description": "Those filters detect anomalies in previous processes of creation and compression of the image. If a new element has been removed or added to the image, it can be detected if it has a different compression than the rest of the image.", "forensic_family_compression_look": "Combination of multiple filters that outline in white or green-light a common area of the image.", "forensic_family_compression_ignore": "Complex textures of an object or saturated areas of the photo can generate false positives.", "forensic_family_noise_title": "Traces", "forensic_family_noise_description": "Those filters analyse traces left by the camera processing chain. They can detect regions of an image where the camera traces are inconsistent with the rest of the image.", "forensic_family_noise_look": "Highlighted areas in white of a clear section of the image.", "forensic_family_noise_ignore": "Complex textures of an object or saturated areas of the photo (black or white sections) can generate false positives.", "forensic_family_ai_title": "Deep learning", "forensic_family_ai_description": "They use Artificial intelligence methods to detect modifications of the images with a system that has been trained with a big number of examples of fake images.", "forensic_family_ai_look": "Sections of objects in the image highlighted in white.", "forensic_family_ai_ignore": "Dark sections should be ignored.", "forensic_family_cloning_title": "Cloning", "forensic_family_cloning_description": "Those filters detect elements that have been copied and moved within that image to create a fake.", "forensic_family_cloning_look": "CMFD \u2013 White areas are the elements that have been copied and moved and may represent the source of the element that has been cloned RCMFD \u2013 Red lines between similar objects in the image reveal which ones have been cloned.", "forensic_family_cloning_ignore": "Ignore the remaining sections not highligthed in the above description.", "forensic_filters_explanation": "All forensic filters displayed below are aimed at detecting modifications or alterations in the original image that can create a fake image. The filters are distributed in different families based on their way of detecting these anomalies. Note that the filters are not perfect, and they can generate some false positives that should be ignored. To help this process a short explanation of the family and the things to look at it or the things to ignore are displayed below the filters. Usually, all the filters show possible modifications in red and not altered areas in blue. If you want to learn more, you can go to our extended documentation.", "forensic_lenses_explanation": "The enhancers displayed below help you to better look at the image's edges. They are not enough to conclude about forgeries but if you see a suspicious zone, you should then look at the same zone in the forensic filters displayed on the right.", "forensic_title_image": "Analysed Image", "forensic_button_newImage": "New Image", "forensic_title_what": "What is this?", "forensic_title_filters": "Filters", "forensic_title_lenses": "Enhancers", "forensic_input_placeholder": "Paste here the link", "forensic_button_download": "Download", "forensic_text_speed": "Speed of the animation", "forensic_title_export": "Export the result as a GIF", "forensic_text_fast": "Fast", "forensic_text_slow": "Slow", "forensic_text_detection": "Detection", "forensic_text_nodetection": "No detection", "forensic_tosast_clipboard": "URL of the image copied into the clipboard", "forensic_card_zero_report": "When an area is highlighted in white, it means it has a different JPEG grid position than the rest of the image. In light green, it means the grid in this area has been disrupted. Therefore, they can be considered as a forgery caused by an erasing or an external or internal copy-move. Black colour means that no abnormal JPEG grid has been detected.", "forensic_card_laplacian_report": "The Laplacian shows high frequencies of the image such as the borders. Can make some areas appear by showing the borders of the erasement or pasting of an object. This is not a forgery detector per se, visual analysis is required to interpret its results.", "forensic_card_splicebuster_report": "Each image carries invisible noise as a result of the image processing pipeline. Residual noise is estimated and then used to extract features. Regions having different features than the rest of the image are pointed as suspicious. Due to the normalization, there will always be at least one pixel at a high value even on an authentic image. Furthermore, care should be taken analyzing saturated regions; when those are not automatically masked by the algorithm they may be detected as forgeries even when they are authentic.", "forensic_card_mantranet_report": "Mantra-Net is a deep learning approach for forgery manipulation detection. It shows regions which it believes are forged. However, in the absence of automatic analysis of the results, visual interpretation is needed to distinguish true detections from noise.", "forensic_card_fusion_report": "Fusion is a deep learning based approach that combines multiple forensic filters and provides a overall localization. Tampered areas should appear as white or light-green areas on a darker background.", "forensic_card_cmfd_report": "This is a deep learning approach on copy-move forgery detection. Dark pixels are authentic and light-coloured ones are targeting a possible copy-move inside the image.", "forensic_card_rcmfd_report": "The Robust Copy-Move Forgery Detector is based on the SIFT method. The detector links similar objects (which are not similar naturally) with red lines. The algorithm does not detect which object is pristine and which one is forged.", "forensic_title_cfa_report": "CFA", "forensic_card_cfa_report": "A camera can only sample one colour per pixel. It samples different colours at different pixels, and estimates the missing values from neighbours pixels. This process is known as demosaicing, and leaves traces on the image. This method analyses those traces to estimate the sampling pattern used in the camera, and finds regions whose pattern is inconsistent with the main image. Due to the nature of demosaicing, it requires images of excellent quality.", "forensic_text_hoverinfo": "Mouse over the filters to see a transparent mask with the results on the image.", "forensic_title_mmfusion_report": "MM-Fusion", "forensic_card_mmfusion_report": "The MM-Fusion algorithm detects regions of the image that have been visually altered. It provides a forgery localisation mask, that highlights in white / pale green colour the altered regions, while the authentic ones remain in black. To achieve this it combines the output of several noise-sensitive filters, in order to capture different traces left by the manipulation operations. Related paper: Triaridis, K., & Mezaris, V. (2023). Exploring Multi-Modal Fusion for Image Manipulation Detection and Localisation. arXiv preprint arXiv:2312.01790. The development of this model was supported by the EU's Horizon 2020 research and innovation programme under grant agreement H2020-101021866 CRiTERIA", "forensic_title_trufor_report": "TruFor", "forensic_card_trufor_report": "The TruFor The algorithm detects regions of the image that have been visually altered. It provides a forgery localization mask, that highlights in red color the altered regions, while the authentic ones are highlighted in blue. Furthermore, it provides an overall forgery probability for the image, that indicates whether some parts have been forged. To achieve this it utilizes a novel AI-based filter, called Noiseprint++, that captures the detail of the noise pattern in different regions of the image.", "forensic_title_omgfuser_report": "OMGFuser", "forensic_card_omgfuser_report": "The OMGFuser algorithm detects regions of the image that have been visually altered. It provides a forgery localization mask, that highlights in red color the altered regions, while the authentic ones are highlighted in blue. Furthermore, it provides an overall forgery probability for the image, that indicates whether some of its parts have been forged. To achieve this, it combines the outputs of multiple AI-based filters that analyze different low-level traces of the image, using a novel deep-learning framework, thus greatly reducing the amount of false-positives. OMGFuser is currently in an experimental release stage.", "forensic_score": "Forgery"} \ No newline at end of file +{"forensic_title": "Image forensic analysis", "forensic_input": "Image URL link", "button_localfile": "Local file", "button_submit": "Analyze", "cardheader_source": "Image link or file", "linkmode_title": "Link mode", "linkmode_description": "Provide a URL Link towards a jpeg / jpg image", "filemode_title": "File mode", "filemode_description": "The image to analyze is provided with a local file", "please_give_a_correct_link": "Please give a correct link", "forensic_error_unsupported_file": "The submitted URL is an unsupported image file, e.g. gif image or video", "forensic_error_image_url_error": "The submitted URL is an image file but it could not be processed, it may be due to network problem or platform restrictions", "forensic_error_url_error": "The submitted URL could not be cached, it may be due to network problem, usage restrictions or a corrupted URL path", "forensic_error_hash_not_found": "An unknown issue occured. Please check the URL and try again", "forensic_error_empty_parameter": "An unknown issue occured. Please check the URL and try again", "forensic_error_missing_image_report": "The image was not submitted. Please check the URL and try again", "forensic_error_analysis_not_triggered": "The analysis has not been triggered for this image. Please check the URL and try again", "forensic_error_404": "Service not found", "forensic_error_500": "Service internal error", "forensic_error_undefined": "Service error", "forensic_error_bad_request_download_error": "Please give a correct link", "forensic_title_adq1_report": "Double Quantization", "forensic_title_ela_report": "Error Level Analysis", "forensic_title_median_report": "Median Noise", "forensic_title_dct_report": "DCT", "forensic_title_cagiNormal": "CAGI", "forensic_title_cagiInversed": "CAGI-Inversed", "forensic_title_wavelet_report": "WAVELET", "forensic_title_blk_report": "BLOCK", "forensic_title_ghost_report": "GHOST", "forensic_card_info": "Infos", "forensic_card_back": "Back", "forensic_card_adq1_report": "Double Quantization inconsistencies occur when a foreign object is inserted in a JPEG image. When the new image is saved, the untampered part of the image will have been compressed twice, while the inserted region only once. In this case, the tampered area should appear ligth-coloured (see the scale) while the rest of the image remains dark. If other colors are present (green, blue) then no conclusion can be made. Also, the light-coloured region must be object-like : spurious light dots scattered across the image should be ignored.", "forensic_card_ela_report": "Error Level Analysis is produced by recompressing the image as a JPEG of quality 75 and subtracting the new image from the old. The resulting image of differences is then enhanced and displayed. Areas of interest are those with higher values than other similar parts of the image. Only similar regions should be compared, i.e. edges should be compared to edges, textures to textures, and uniform regions to uniform regions. Color discrepancies (commonly blue regions) are also generally suspicious. ELA is an enhancer and is not enough to conclude about an image forgery.", "forensic_card_median_report": "Median Noise Residuals is based on isolating the almost-invisible image noise through median filtering. When interpreting the results, areas of interest are those that return higher (i.e. brighter) values than other similar parts of the image. Only similar regions should be compared, i.e. edges should be compared to edges, textures to textures, and uniform regions to uniform regions. Media Noise is an enhancer and is not enough to conclude about an image forgery.", "forensic_card_dct_report": "When tampering takes place in a JPEG image, the Discrete Cosinus Transform (DCT) coefficients (a mathematical operation) may be locally disturbed. Regions that stand out (white or light-green) against a black background may correspond to tampering. The reverse may also hint towards a tampering, i.e. certain regions appearing bluer against a black background.", "forensic_card_cagiNormal": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The GRIDS algorithm seeks such discrepancies, and highlights them locally. The algorithm produces local white/light-green or light-blue blobs where it detects grid discrepancies. Generally, the GRIDS algorithm is less distracted by textures in the image, and focuses on grid disturbances. However, it should mostly be interpreted in combination with other outputs that highlight the same regions.", "forensic_card_cagiInversed": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The GRIDS-Inverse algorithm is complementary to GRIDS in seeking such discrepancies. The algorithm produces local blue \u201cblobs\u201d where it detects grid discrepancies. Generally, the GRIDS algorithm is less distracted by textures in the image, and focuses on grid disturbances. However, it should mostly be interpreted in combination with other algorithm outputs that highlight the same regions.", "forensic_card_wavelet_report": "Each image carries invisible, high-frequency noise that is the result of the capturing process as well as the compression. The Discrete Wavelet Noise algorithm filters the image and calculates the local noise distribution at each part of the image. Regions that differ from the rest of the image are highlighted in strong white, and are likely to originate from other images. As this algorithm is often misguided by differences in texture and focus, it is best interpreted in combination with other algorithms.", "forensic_card_blk_report": "JPEG compression operates in an 8-by-8 grid, which is near-invisible but detectable. Adding or moving an object on an image may locally disrupt this grid. The BLOCK algorithm detects the image grid and looks for local discrepancies. Any coherent region with different color to its surroundings may correspond to tampering, although white and light-green against a dark background are the most typical indication of tampering. As this algorithm is often misguided by differences in texture and focus, it is best interpreted in combination with other algorithms.", "forensic_card_ghost_report": "The JPEG Ghosts algorithm is based on recompressing the image in multiple different qualities and subtracting each of them from the original. The resulting difference images are post-processed to highlight regions that stand out and are likely to originate from a different JPEG image. Then, the images most likely to contain interesting findings are selected (i.e. those that feature localized inconsistencies). Consistent white, light-green or light-blue regions against a black background may correspond to traces of tampering, especially if they do not correspond to edges, but to entire regions.", "applied_filter": "Applied filter :", "apply_filter": "apply filter", "forensic_title_none": "None", "clear_filter": "Clear Filter", "forensic_ratio_b_landscape": "Portrait", "forensic_ratio_b_portrait": "Landscape", "forensic_title_cmfd_report": "CMFD", "forensic_title_fusion_report": "FUSION", "forensic_title_mantranet_report": "Mantranet", "forensic_title_splicebuster_report": "Splicebuster", "forensic_title_zero_report": "Zero", "forensic_title_laplacian_report": "Laplacian", "forensic_title_rcmfd_report": "RCMFD", "forensic_family_compression_title": "Compression", "forensic_family_compression_description": "Those filters detect anomalies in previous processes of creation and compression of the image. If a new element has been removed or added to the image, it can be detected if it has a different compression than the rest of the image.", "forensic_family_compression_look": "Combination of multiple filters that outline in white or green-light a common area of the image.", "forensic_family_compression_ignore": "Complex textures of an object or saturated areas of the photo can generate false positives.", "forensic_family_noise_title": "Traces", "forensic_family_noise_description": "Those filters analyse traces left by the camera processing chain. They can detect regions of an image where the camera traces are inconsistent with the rest of the image.", "forensic_family_noise_look": "Highlighted areas in white of a clear section of the image.", "forensic_family_noise_ignore": "Complex textures of an object or saturated areas of the photo (black or white sections) can generate false positives.", "forensic_family_ai_title": "Deep learning", "forensic_family_ai_description": "They use Artificial intelligence methods to detect modifications of the images with a system that has been trained with a big number of examples of fake images.", "forensic_family_ai_look": "Sections of objects in the image highlighted in white.", "forensic_family_ai_ignore": "Dark sections should be ignored.", "forensic_family_cloning_title": "Cloning", "forensic_family_cloning_description": "Those filters detect elements that have been copied and moved within that image to create a fake.", "forensic_family_cloning_look": "CMFD \u2013 White areas are the elements that have been copied and moved and may represent the source of the element that has been cloned RCMFD \u2013 Red lines between similar objects in the image reveal which ones have been cloned.", "forensic_family_cloning_ignore": "Ignore the remaining sections not highligthed in the above description.", "forensic_filters_explanation": "All forensic filters displayed below are aimed at detecting modifications or alterations in the original image that can create a fake image. The filters are distributed in different families based on their way of detecting these anomalies. Note that the filters are not perfect, and they can generate some false positives that should be ignored. To help this process a short explanation of the family and the things to look at it or the things to ignore are displayed below the filters. Usually, all the filters show possible modifications in red and not altered areas in blue. If you want to learn more, you can go to our extended documentation.", "forensic_lenses_explanation": "The enhancers displayed below help you to better look at the image's edges. They are not enough to conclude about forgeries but if you see a suspicious zone, you should then look at the same zone in the forensic filters displayed on the right.", "forensic_title_image": "Analysed Image", "forensic_button_newImage": "New Image", "forensic_title_what": "What is this?", "forensic_title_filters": "Filters", "forensic_title_lenses": "Enhancers", "forensic_input_placeholder": "Paste here the link", "forensic_button_download": "Download", "forensic_text_speed": "Speed of the animation", "forensic_title_export": "Export the result as a GIF", "forensic_text_fast": "Fast", "forensic_text_slow": "Slow", "forensic_text_detection": "Detection", "forensic_text_nodetection": "No detection", "forensic_tosast_clipboard": "URL of the image copied into the clipboard", "forensic_card_zero_report": "When an area is highlighted in white, it means it has a different JPEG grid position than the rest of the image. In light green, it means the grid in this area has been disrupted. Therefore, they can be considered as a forgery caused by an erasing or an external or internal copy-move. Black colour means that no abnormal JPEG grid has been detected.", "forensic_card_laplacian_report": "The Laplacian shows high frequencies of the image such as the borders. Can make some areas appear by showing the borders of the erasement or pasting of an object. This is not a forgery detector per se, visual analysis is required to interpret its results.", "forensic_card_splicebuster_report": "Each image carries invisible noise as a result of the image processing pipeline. Residual noise is estimated and then used to extract features. Regions having different features than the rest of the image are pointed as suspicious. Due to the normalization, there will always be at least one pixel at a high value even on an authentic image. Furthermore, care should be taken analyzing saturated regions; when those are not automatically masked by the algorithm they may be detected as forgeries even when they are authentic.", "forensic_card_mantranet_report": "Mantra-Net is a deep learning approach for forgery manipulation detection. It shows regions which it believes are forged. However, in the absence of automatic analysis of the results, visual interpretation is needed to distinguish true detections from noise.", "forensic_card_fusion_report": "Fusion is a deep learning based approach that combines multiple forensic filters and provides a overall localization. Tampered areas should appear as white or light-green areas on a darker background.", "forensic_card_cmfd_report": "This is a deep learning approach on copy-move forgery detection. Dark pixels are authentic and light-coloured ones are targeting a possible copy-move inside the image.", "forensic_card_rcmfd_report": "The Robust Copy-Move Forgery Detector is based on the SIFT method. The detector links similar objects (which are not similar naturally) with red lines. The algorithm does not detect which object is pristine and which one is forged.", "forensic_title_cfa_report": "CFA", "forensic_card_cfa_report": "A camera can only sample one colour per pixel. It samples different colours at different pixels, and estimates the missing values from neighbours pixels. This process is known as demosaicing, and leaves traces on the image. This method analyses those traces to estimate the sampling pattern used in the camera, and finds regions whose pattern is inconsistent with the main image. Due to the nature of demosaicing, it requires images of excellent quality.", "forensic_text_hoverinfo": "Mouse over the filters to see a transparent mask with the results on the image.", "forensic_title_mmfusion_report": "MM-Fusion", "forensic_card_mmfusion_report": "The MM-Fusion algorithm detects regions of the image that have been visually altered. It provides a forgery localisation mask, that highlights in white / pale green colour the altered regions, while the authentic ones remain in black. To achieve this it combines the output of several noise-sensitive filters, in order to capture different traces left by the manipulation operations. Related paper: Triaridis, K., & Mezaris, V. (2023). Exploring Multi-Modal Fusion for Image Manipulation Detection and Localisation. arXiv preprint arXiv:2312.01790. The development of this model was supported by the EU's Horizon 2020 research and innovation programme under grant agreement H2020-101021866 CRiTERIA", "forensic_title_trufor_report": "TruFor", "forensic_card_trufor_report": "The TruFor The algorithm detects regions of the image that have been visually altered. It provides a forgery localization mask, that highlights in red color the altered regions, while the authentic ones are highlighted in blue. Furthermore, it provides an overall forgery probability for the image, that indicates whether some parts have been forged. To achieve this it utilizes a novel AI-based filter, called Noiseprint++, that captures the detail of the noise pattern in different regions of the image.", "forensic_title_omgfuser_report": "OMGFuser", "forensic_card_omgfuser_report": "The OMGFuser algorithm detects regions of the image that have been visually altered. It provides a forgery localization mask, that highlights in red color the altered regions, while the authentic ones are highlighted in blue. Furthermore, it provides an overall forgery probability for the image, that indicates whether some of its parts have been forged. To achieve this, it combines the outputs of multiple AI-based filters that analyze different low-level traces of the image, using a novel deep-learning framework, thus greatly reducing the amount of false-positives. OMGFuser is currently in an experimental release stage.", "forensic_score": "Forgery"} \ No newline at end of file diff --git a/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json b/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json index 3056db7f1..4780268e9 100644 --- a/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json +++ b/public/locales/en/components/NavItems/tools/SyntheticImageDetection.json @@ -1 +1 @@ -{"synthetic_image_detection_label": "Media link", "synthetic_image_detection_name": "Synthetic Image Detection", "synthetic_image_detection_placeholder": "Paste the URL here", "synthetic_image_detection_results": "Results of the clip selected", "synthetic_image_detection_link": "Image link", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "synthetic_image_detection_diffusion_name": "Latent Diffusion model", "synthetic_image_detection_diffusion_description": "This method aims to detect if the image has been generated through a latent diffusion model neural network.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "This model can detect fully synthetic images generated by ProGAN Models or architectures that are similar. ", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "This model can detect fully synthetic images generated by ADMs or architectures that are similar.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Generative Adversarial Networks (GAN). The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Latent Diffusion Models (LDM), while exhibiting strong detection performance across several other generative methods. The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_title": "Detection results", "synthetic_image_detection_alert": "This image has been detected as generated with a ", "synthetic_image_detection_alert_2": " algorithm", "synthetic_image_detection_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible image with dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_error_generic": "An error happened. Please try again or try a different image", "synthetic_image_detection_algorithms_errors": "One or more algorithms returned errors. The analysis may be incomplete. Make sure the image has dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_not_found": "No detection found", "submit_button": "Submit", "button_localfile": "Local file", "synthetic_image_detection_gauge_detection": "Detection", "synthetic_image_detection_gauge_no_detection": "No detection", "synthetic_image_detection_additional_results": "Detection details", "synthetic_image_detection_additional_results_hide": "Hide detection details", "synthetic_image_detection_rating": "Explanation: The veraAI detector of the InVID-WeVerify plugin finds ", "synthetic_image_detection_rating_4": "very strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_3": "strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_2": "moderate evidence (suspicious but non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_rating_1": "weak evidence (non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_button_copy_text_1": "Copy text", "synthetic_image_detection_button_copy_text_2": "Text copied!", "synthetic_image_detection_alert_label_4": "Very strong evidence", "synthetic_image_detection_alert_label_3": "Strong evidence", "synthetic_image_detection_alert_label_2": "Moderate evidence (suspicious but non conclusive)", "synthetic_image_detection_alert_label_1": "Weak evidence (non conclusive)", "synthetic_image_detection_probability_text": "Probability:", "synthetic_image_detection_generic_detection_text": "AI-Generated image detected", "synthetic_image_detection_scale_explanation_link": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_title": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50% - Weak evidence (non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550% - Moderate evidence (suspicious but non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570% - Strong evidence (AI-generated)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590% - Very strong evidence (AI-generated)", "synthetic_image_detection_download_gauge_button": "Download Gauge Chart as jpeg file"} \ No newline at end of file +{"synthetic_image_detection_label": "Media link", "synthetic_image_detection_name": "Synthetic Image Detection", "synthetic_image_detection_placeholder": "Paste the URL here", "synthetic_image_detection_results": "Results of the clip selected", "synthetic_image_detection_link": "Image link", "synthetic_image_detection_gan_name": "GAN", "synthetic_image_detection_gan_description": "This method aims to detect if the image has been generated by a Generative Adversarial Network (GAN).", "synthetic_image_detection_diffusion_name": "Latent Diffusion model", "synthetic_image_detection_diffusion_description": "This method aims to detect if the image has been generated through a diffusion model neural network.", "synthetic_image_detection_progan_name": "ProGAN", "synthetic_image_detection_progan_description": "This model can detect fully synthetic images generated by ProGAN Models or architectures that are similar. The model's architecture is a variant of ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_adm_name": " ADM", "synthetic_image_detection_adm_description": "This model can detect fully synthetic images generated by ADMs or architectures that are similar. The model's architecture is a variant of ResNet50, including an initial layer for residual extraction and with no downsampling in the first layer. The model is not pretrained and strong augmentations are carried out including blurring, compression, gaussian noise adding, geometric transformations, cut-out, and brightness and contrast changes.", "synthetic_image_detection_progan_rine_mever_name": "ProGAN RINE", "synthetic_image_detection_progan_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Generative Adversarial Networks (GAN). The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_ldm_rine_mever_name": "LDM RINE", "synthetic_image_detection_ldm_rine_mever_description": "This model detects fully synthetic images. It specializes in detecting images generated by Latent Diffusion Models (LDM), while exhibiting strong detection performance across several other generative methods. The CLIP (Contrastive Language-Image Pre-training) technology extracts key characteristics from the image.", "synthetic_image_detection_title": "Detection results", "synthetic_image_detection_alert": "This image has been detected as generated with a ", "synthetic_image_detection_alert_2": " algorithm", "synthetic_image_detection_error_400": "Error: Invalid image link. Ensure it points to a publicly accessible image with dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_error_generic": "An error happened. Please try again or try a different image", "synthetic_image_detection_algorithms_errors": "One or more algorithms returned errors. The analysis may be incomplete. Make sure the image has dimensions between 128x128 and 2000x2000 pixels.", "synthetic_image_detection_not_found": "No detection found", "submit_button": "Submit", "button_localfile": "Local file", "synthetic_image_detection_gauge_detection": "Detection", "synthetic_image_detection_gauge_no_detection": "No detection", "synthetic_image_detection_additional_results": "Detection details", "synthetic_image_detection_additional_results_hide": "Hide detection details", "synthetic_image_detection_rating": "Explanation: The veraAI detector of the InVID-WeVerify plugin finds ", "synthetic_image_detection_rating_4": "very strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_3": "strong evidence suggesting that this image is synthetic", "synthetic_image_detection_rating_2": "moderate evidence (suspicious but non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_rating_1": "weak evidence (non conclusive) suggesting that this image could be synthetic. The absence of detection does not guarantee the image is not post-edited.", "synthetic_image_detection_button_copy_text_1": "Copy text", "synthetic_image_detection_button_copy_text_2": "Text copied!", "synthetic_image_detection_alert_label_4": "Very strong evidence", "synthetic_image_detection_alert_label_3": "Strong evidence", "synthetic_image_detection_alert_label_2": "Moderate evidence (suspicious but non conclusive)", "synthetic_image_detection_alert_label_1": "Weak evidence (non conclusive)", "synthetic_image_detection_probability_text": "Probability:", "synthetic_image_detection_generic_detection_text": "AI-Generated image detected", "synthetic_image_detection_scale_explanation_link": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_title": "What do the gauge colors mean?", "synthetic_image_detection_scale_modal_explanation_rating_1": "<50% - Weak evidence (non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_2": "\u226550% - Moderate evidence (suspicious but non-conclusive)", "synthetic_image_detection_scale_modal_explanation_rating_3": "\u226570% - Strong evidence (AI-generated)", "synthetic_image_detection_scale_modal_explanation_rating_4": "\u226590% - Very strong evidence (AI-generated)", "synthetic_image_detection_download_gauge_button": "Download Gauge Chart as jpeg file"} \ No newline at end of file diff --git a/public/manifest.json b/public/manifest.json index 7865053ec..b2e68fb63 100644 --- a/public/manifest.json +++ b/public/manifest.json @@ -1,7 +1,7 @@ { "manifest_version": 3, "name": "Fake news debunker by InVID & WeVerify", - "version": "0.80.1", + "version": "0.81", "description": "InVID WeVerify extension", "short_name": "Verification Plugin", "action": { diff --git a/src/components/NavBar/DrawerItem/DrawerItem.jsx b/src/components/NavBar/DrawerItem/DrawerItem.jsx index 2a85bf376..842bc5b10 100644 --- a/src/components/NavBar/DrawerItem/DrawerItem.jsx +++ b/src/components/NavBar/DrawerItem/DrawerItem.jsx @@ -4,7 +4,7 @@ import { Container } from "@mui/material"; import Fade from "@mui/material/Fade"; import { useDispatch, useSelector } from "react-redux"; import { selectTool } from "../../../redux/reducers/tools/toolReducer"; -import AllTools from "../../NavItems/tools/Alltools/AllTools"; +import MainContentMenu from "../../NavItems/tools/Alltools/MainContentMenu"; import Analysis from "../../NavItems/tools/Analysis/Analysis"; import Keyframes from "../../NavItems/tools/Keyframes/Keyframes"; import Thumbnails from "../../NavItems/tools/Thumbnails/Thumbnails"; @@ -14,7 +14,7 @@ import Metadata from "../../NavItems/tools/Metadata/Metadata"; import VideoRights from "../../NavItems/tools/VideoRights/VideoRights"; import Forensic from "../../NavItems/tools/Forensic/Forensic"; import { Route, Routes, useLocation } from "react-router-dom"; -import Footer from "../../Shared/Footer/Footer"; +import { Footer, FOOTER_TYPES } from "../../Shared/Footer/Footer"; import TwitterSna from "../../NavItems/tools/TwitterSna/TwitterSna"; import OCR from "../../NavItems/tools/OCR/OCR"; import CheckGif from "../../NavItems/tools/Gif/CheckGif"; @@ -31,92 +31,92 @@ import Archive from "../../NavItems/tools/Archive"; import SemanticSearch from "../../NavItems/tools/SemanticSearch"; import Loccus from "../../NavItems/tools/Loccus"; -const DrawerItem = ({ drawerItems }) => { +const DrawerItem = ({ toolsList }) => { const drawerItemsContent = [ { - content: , + content: , footer:
, }, { content: , - footer: