updating dependbot security fix

Author: codeperfectplus

07. Face Detection/blurTheFace.py

@@ -5,9 +5,9 @@
 import time
 
 # https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt
-prototxt_path = "07. Face Detection/deploy.prototxt.txt"
+prototxt_path = "./assets/deploy.prototxt.txt"
 # https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180205_fp16/res10_300x300_ssd_iter_140000_fp16.caffemodel 
-model_path = "07. Face Detection/res10_300x300_ssd_iter_140000.caffemodel"
+model_path = "./assets/res10_300x300_ssd_iter_140000.caffemodel"
 
 # load Caffe model
 model = cv2.dnn.readNetFromCaffe(prototxt_path, model_path)

07. Face Detection/face_detection.py

@@ -3,10 +3,8 @@
 import cv2
 
 # Path
-face_path = './haarcascade_frontalface_default.xml'
-eye_path = './haarcascade_eye.xml'
-face_cascade = cv2.CascadeClassifier(face_path)
-eye_cascade = cv2.CascadeClassifier(eye_path)
+face_cascade = cv2.CascadeClassifier('./assets/haarcascade_frontalface_default.xml')
+eye_cascade = cv2.CascadeClassifier('./assets/haarcascade_eye.xml')
 
 
 def detectedFace(img):
@@ -45,9 +43,9 @@ def detectedFace(img):
     if k == 27:
         cv2.destroyAllWindows()
     elif k == ord('s'):
-        cv2.imwrite('Media/face-detected.jpeg', img)
+        cv2.imwrite('./Media/face-detected.jpeg', img)
         cv2.destroyAllWindows()
 
 
-path_img = '../Media/face-001.jpg'
+path_img = './Media/face-001.jpg'
 detectedFace(path_img)

07. Face Detection/face_detection_dnn.py

@@ -3,10 +3,13 @@
 import cv2
 
 # Global Declarations
-proto='deploy.prototxt.txt'
-model='res10_300x300_ssd_iter_140000.caffemodel'
+# https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt
+prototxt_path = "./assets/deploy.prototxt.txt"
+# https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180205_fp16/res10_300x300_ssd_iter_140000_fp16.caffemodel 
+model_path = "./assets/res10_300x300_ssd_iter_140000.caffemodel"
+
 confThresh=0.8
-net = cv2.dnn.readNetFromCaffe(proto, model)
+net = cv2.dnn.readNetFromCaffe(prototxt_path, model_path)
 
 def detectFace(imgPath):
     img = cv2.imread(imgPath)
@@ -31,10 +34,10 @@ def detectFace(imgPath):
     if key == 27:
         cv2.destroyAllWindows()
     elif key == ord('s'):
-        cv2.imwrite('../Media/face-detected-dnn.jpeg', img)
+        cv2.imwrite('./Media/face-detected-dnn.jpeg', img)
         cv2.destroyAllWindows()
 
 
 
-path_img = '../Media/face-001.jpg'
+path_img = './Media/face-001.jpg'
 detectFace(path_img)

07. Face Detection/realTimeFaceDetection.py

@@ -3,8 +3,8 @@
 import numpy as np
 import cv2
 
-face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
-eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')
+face_cascade = cv2.CascadeClassifier('./assets/haarcascade_frontalface_default.xml')
+eye_cascade = cv2.CascadeClassifier('./assets/haarcascade_eye.xml')
 
 cap = cv2.VideoCapture(0)
 

07. Face Detection/realTimeFaceDetectionDNN.py

@@ -4,9 +4,9 @@
 import cv2
 
 # https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt
-prototxt_path = "07. Face Detection/deploy.prototxt.txt"
+prototxt_path = "./assets/deploy.prototxt.txt"
 # https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180205_fp16/res10_300x300_ssd_iter_140000_fp16.caffemodel 
-model_path = "07. Face Detection/res10_300x300_ssd_iter_140000.caffemodel"
+model_path = "./assets/res10_300x300_ssd_iter_140000.caffemodel"
 
 confThresh = 0.5
 net = cv2.dnn.readNetFromCaffe(prototxt_path, model_path)

07. Face Detection/smileDetection.py

@@ -3,8 +3,8 @@
 import numpy as np
 import cv2
 
-face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
-smile_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_smile.xml')
+face_cascade = cv2.CascadeClassifier('./assets/haarcascade_frontalface_default.xml')
+smile_cascade = cv2.CascadeClassifier('./assets/haarcascade_smile.xml')
 
 cap = cv2.VideoCapture(0)