Merge pull request #392 from sayantann11/main

Attendance-automator

Author: pawangeek

attendance-automator/main.py

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+import cv2
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+
+path = 'images'
+images = []
+personName = []
+myList = os.listdir(path)
+
+print(myList)
+
+for cu_img in myList:
+    current_Img = cv2.imread(f'{path} / {cu_img}')
+    images.append(current_Img)
+    personName.append(os.path.splitext(cu_img)[0])
+
+print(personName)
+
+
+def faceEncodings(images):
+    encodeList = []
+
+    for img in images:
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+        encode = face_recognition.face_encodings(img)[0]
+        encodeList.append(encode)
+
+    return encodeList
+
+
+encodeListKnown = (faceEncodings(images))
+print("All Encoding Complete!!!!!")
+
+
+def attendance(name):
+    with open('Attendance.csv', 'r+') as f:
+        myDataList = f.readlines()
+        nameList = []
+        for line in myDataList:
+            entry = line.split(',')
+            nameList.append(entry[0])
+
+        if name not in nameList:
+            time_now = datetime.now()
+            tStr = time_now.strftime('%H:%M:%S')
+            dStr = time_now.strftime('%d/%m/%Y')
+            f.writelines(f'{name}, {tStr}, {dStr}')
+
+
+cap = cv2.VideoCapture(0)
+
+while True:
+
+    ret, frame = cap.read()
+    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+    faces = cv2.cvtColor(faces, cv2.COLOR_BGR2RGB)
+
+    facesCurrentFrame = face_recognition.face_locations(faces)
+    encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
+
+    for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
+        matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
+        faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
+
+        matchIndex = np.argmin(faceDis)
+
+        if matches[matchIndex]:
+            name = personName[matchIndex].upper()
+
+            y1, x2, y2, x1 = faceLoc
+
+            y1, x2, y2, x1 = y1*4, x2*4, y2*4, x1*4
+            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
+            cv2.rectangle(frame, (x1, y2-35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(frame, name, (x1+6, y2-6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 0, 0), 1)
+            attendance(name)
+    cv2.imshow("Camera", frame)
+
+    if cv2.waitKey(10) == 13:
+        break
+
+cap.release()
+
+cv2.destroyAllWindows()

attendance-automator/readme.md

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+# One_Shot_Learning
+
+## Please refer the document attached to this repo
+## clone the repository.
+## make sure you have face recognization package installed properly inorder to do it you need to have visual studio with c++.
+## run requirements.txt and make sure all the packages are installed.
+## provide sample images.
+## execute the code it will note down attendance automatically to the excel sheet.
+

attendance-automator/requirnment.txt

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+certifi==2020.6.20
+chardet==3.0.4
+click==7.1.2
+cmake==3.18.2.post1
+decorator==4.4.2
+dlib==19.18.0
+face-recognition==1.3.0
+face-recognition-models==0.3.0
+idna==2.10
+imageio==2.9.0
+imageio-ffmpeg==0.4.2
+moviepy==1.0.3
+numpy==1.18.4
+opencv-python==4.4.0.46
+Pillow==8.0.1
+proglog==0.1.9
+requests==2.24.0
+tqdm==4.51.0
+urllib3==1.25.11
+wincertstore==0.2