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| # -*- coding: utf-8 -*-
| import datetime
| import cv2
| from cv2 import waitKey
| import uuid
| from _image_clip_setting import image_clip
| import sys
|
| def save_images(frame):
| image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
| 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]
| image_w = image.shape[1]
| contours, hierarchy = cv2.findContours(
| counter, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
| contours_count = 0
| return_numbers = []
| for c in contours:
| x, y, w, h = cv2.boundingRect(c)
| if hierarchy[0][contours_count][3] == 0 and h > image_h * 0.3:
| if w > image_w/4:
| half_width = int(w/2)
| cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x:x+half_width],(20,30)), 0, 255,
| cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
| cv2.imwrite("./images52/"+str(uuid.uuid4())+".jpg",cv2.threshold(cv2.resize(gray[y:y+h,x+half_width:x+w],(20,30)), 0, 255,
| cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1])
| else:
| 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])
| contours_count += 1
|
| cap = cv2.VideoCapture(sys.argv[1]) # for testing
| while(cap.isOpened()):
| ret, frame = cap.read()
| if ret==True:
| save_images(frame)
| else:
| break
| cap.release()
|
|
