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| # -*- coding: utf-8 -*-
| import datetime
| import time
| import cv2
| from cv2 import waitKey
| import uuid
| from _image_clip_setting import image_clip
|
|
| def check_frame(frame):
| image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
| #cv2.imshow('src',image)
| 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)
| contours, hierarchy = cv2.findContours(counter,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
| contours_count = 0
| for c in contours:
| x, y, w, h = cv2.boundingRect(c)
| if hierarchy[0][contours_count][3] ==0 :
| #if image_h*0.98 > h > image_h * 0.6:
| print((x, y, w, h))
| cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
| contours_count += 1
| cv2.imshow('frame',image)
| if cv2.waitKey(100) & 0xFF == ord('q'): #按q退出
| cv2.waitKey(0)
|
| cap = cv2.VideoCapture("video.mp4") # for testing
| while(cap.isOpened()):
| ret, frame = cap.read()
| if ret==True:
| check_frame(frame)
| else:
| break
| cap.release()
|
|