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author | Saumit Dinesan <justsaumit@protonmail.com> | 2023-03-18 01:54:07 +0530 |
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committer | Saumit Dinesan <justsaumit@protonmail.com> | 2023-03-18 01:56:04 +0530 |
commit | b359223312c8389e672ce1a37fa8ef3d5e70504e (patch) | |
tree | 215fe167b2e96ef5181a80d6291974d03ea28602 | |
parent | 58e7026a200249ba8f13fc174414bcae7791b17a (diff) |
faceDetection: Comments+addition
-rw-r--r-- | face-detection/faceDetection.py | 26 |
1 files changed, 19 insertions, 7 deletions
diff --git a/face-detection/faceDetection.py b/face-detection/faceDetection.py index e8f3414..6be43d6 100644 --- a/face-detection/faceDetection.py +++ b/face-detection/faceDetection.py @@ -1,16 +1,28 @@ 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, frame = cap.read() +while True: + ret, img = cap.read() + #img = cv2.flip(img, -1) #frame = cv2.flip(frame, -1) # Flip camera vertically - gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) - - cv2.imshow('frame', frame) - cv2.imshow('gray', gray) - + ##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 |