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| # -*- coding: utf-8 -*-
| import datetime
| import cv2
| from cv2 import waitKey
| import uuid
|
|
| def save_images(frame):
| image = frame[180:230,250:370] #frame[176:234,280:426]
| gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
| thresh = cv2.threshold(gray, 0, 255,
| cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
| kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6))
| counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
| image_h = image.shape[0]
| contours, hierarchy = cv2.findContours(counter,cv2.RETR_CCOMP,cv2.CHAIN_APPROX_SIMPLE)
| for c in contours:
| x, y, w, h = cv2.boundingRect(c)
| if image_h*0.9 > h > image_h * 0.5:
| #print((x, y, w, h))
| #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
| cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x:x+w],(20,30)), 0, 255,
| cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
|
| cap = cv2.VideoCapture("video2.mp4") # for testing
| while(cap.isOpened()):
| ret, frame = cap.read()
| if ret==True:
| save_images(frame)
| else:
| break
| cap.release()
|
|
