64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import cv2 as cv
|
|
#from segmentation import get_object_mask
|
|
import os, time
|
|
|
|
def get_object_location(pfile, mask_path = 'lianhua_1.jpg'):
|
|
kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (3, 3)) # 定义结构元素
|
|
fgbg = cv.createBackgroundSubtractorMOG2(detectShadows=False)
|
|
nu, nn = 0, 1
|
|
flag = False
|
|
T1 = time.time()
|
|
# 设置文件
|
|
cap = cv.VideoCapture(pfile)
|
|
while True:
|
|
# 读取一帧
|
|
ret, frame = cap.read()
|
|
nn += 1
|
|
if (not ret):
|
|
break
|
|
if flag:
|
|
flag = False
|
|
print('flag change>>{}>>{}'.format(pfile, nn))
|
|
return '1'
|
|
|
|
frame = cv.resize(frame, (512, 640), interpolation=cv.INTER_CUBIC)
|
|
frame = cv.medianBlur(frame, ksize=3)
|
|
frame_motion = frame.copy()
|
|
|
|
# 计算前景掩码
|
|
fgmask = fgbg.apply(frame_motion)
|
|
draw1 = cv.threshold(fgmask, 25, 255, cv.THRESH_BINARY)[1] # 二值化
|
|
draw1 = cv.dilate(draw1, kernel, iterations=1)
|
|
if nn<10: #判断10帧内有入侵动作
|
|
flag = check_tings(mask_path, draw1)
|
|
T2 = time.time()
|
|
print('single video >>> {}-->{}-->{}'.format(pfile, nn, (T2 - T1)))
|
|
return '0'
|
|
|
|
def check_tings(mask_path, img):
|
|
dics = {}
|
|
mask_img = cv.imread(mask_path)
|
|
img = cv.bitwise_and(mask_img[:,:,0], img)
|
|
contours_m, hierarchy_m = cv.findContours(img.copy(), cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
|
|
for contour in contours_m:
|
|
# print('contour', hierarchy_m)
|
|
dics[len(contour)] = contour
|
|
if len(dics.keys()) > 0:
|
|
cc = sorted(dics.keys())
|
|
iouArea = cv.contourArea(dics[cc[-1]])
|
|
# if iouArea>10000 and iouArea<40000:
|
|
if iouArea>10000 and iouArea<40000:
|
|
return '1'
|
|
else:
|
|
return '0'
|
|
else:
|
|
return '0'
|
|
|
|
if __name__ == '__main__':
|
|
pfile = "videos/20230130-100958_e5910f7d-90dd-4f6b-9468-689ba45fe656.mp4"
|
|
mask_path = 'models/lianhua_1.jpg'
|
|
#frame_path = 'frame'
|
|
#result_path = 'result'
|
|
get_object_location(pfile, mask_path)
|
|
|