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| -rw-r--r-- | face-detection/faceDetection.py | 30 |
1 files changed, 0 insertions, 30 deletions
diff --git a/face-detection/faceDetection.py b/face-detection/faceDetection.py deleted file mode 100644 index 6be43d6..0000000 --- a/face-detection/faceDetection.py +++ /dev/null @@ -1,30 +0,0 @@ -import numpy as np -import cv2 -faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') -cap = cv2.VideoCapture(0) -cap.set(3,640) # set Width -cap.set(4,480) # set Height -while True: - ret, img = cap.read() - #img = cv2.flip(img, -1) - #frame = cv2.flip(frame, -1) # Flip camera vertically - ##Convert RBG Image to Grayimage - gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) - ## call classifier function and pass in the scaling facotor,no.of neighbouts and minimum size of detected face - faces = faceCascade.detectMultiScale( - gray, - scaleFactor=1.2, - minNeighbors=5, - minSize=(20, 20) - ) - for (x,y,w,h) in faces: - ##pass image/Top,left:x,y/Bottom,right corner:x+w,y+h//BGR//thickness - cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) - roi_gray = gray[y:y+h, x:x+w] - roi_color = img[y:y+h, x:x+w] - cv2.imshow('video',img) - k = cv2.waitKey(30) & 0xff - if k == 27: # press 'ESC' to quit - break -cap.release() -cv2.destroyAllWindows() |