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| | | import cv2 |
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| | | from cv2 import waitKey |
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| | | import uuid |
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| | | from _image_clip_setting import image_clip |
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| | | def save_images(frame): |
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| | | image = frame[180:230,250:370] #frame[176:234,280:426] |
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| | | image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]] |
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| | | gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) |
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| | | thresh = cv2.threshold(gray, 0, 255, |
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| | | cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1] |
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| | | cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1] |
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| | | kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6)) |
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| | | counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel) |
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| | | image_h = image.shape[0] |
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| | | contours, hierarchy = cv2.findContours(counter,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE) |
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| | | contours, hierarchy = cv2.findContours( |
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| | | counter, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) |
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| | | contours_count = 0 |
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| | | #print(contours) |
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| | | print(hierarchy) |
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| | | for c in contours: |
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| | | x, y, w, h = cv2.boundingRect(c) |
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| | | if image_h*0.9 > h > image_h * 0.5: |
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| | | #print((x, y, w, h)) |
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| | | print((x, y, w, h)) |
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| | | print(hierarchy[0][contours_count][3]) |
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| | | if hierarchy[0][contours_count][3] ==0 : |
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| | | #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2) |
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| | | cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x:x+w],(20,30)), 0, 255, |
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| | | cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]) |
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| | | |
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| | | cap = cv2.VideoCapture("video2.mp4") # for testing |
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| | | cap = cv2.VideoCapture("new.mp4") # for testing |
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| | | while(cap.isOpened()): |
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| | | ret, frame = cap.read() |
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| | | if ret==True: |
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