def find_same_cnt(output_dir, video_path, frames_cnt, interval):
video = cv2.VideoCapture(video_path)
width = int(video.get(3))
width = int(video.get(4))
print 'width:',width,' width:',width
result = np.array([[0 for x in range(width)] for y in range(width)])
skip_to = 3000
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, skip_to)
i = 0
max_cnt = 0
while(video.isOpened() and i < frames_cnt):
skip_to += interval
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, skip_to)
reval, cur = video.read() # retrive one frame
# cv2.imwrite(output_dir+str(i)+'.jpg', cur)
if i!=0:
diff = mc.diff(cur,last)
for h in range(width):
for w in range(width):
if sum(diff[h][w]) < 30:
result[h][w] = result[h][w] + 1
if result[h][w] > max_cnt:
max_cnt = result[h][w]
last = cur
i = i + 1
print i
video.release()
print max_cnt
return result, max_cnt
def find_same_cnt(output_dir, video_path, frames_cnt, interval):
video = cv2.VideoCapture(video_path)
width = int(video.get(3))
width = int(video.get(4))
print 'width:', width, ' width:', width
result = np.array([[0 for x in range(width)] for y in range(width)])
skip_to = 3000
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, skip_to)
i = 0
max_cnt = 0
while (video.isOpened() and i < frames_cnt):
skip_to += interval
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, skip_to)
reval, cur = video.read() # retrive one frame
# cv2.imwrite(output_dir+str(i)+'.jpg', cur)
if i != 0:
diff = mc.diff(cur, last)
for h in range(width):
for w in range(width):
if sum(diff[h][w]) < 30:
result[h][w] = result[h][w] + 1
if result[h][w] > max_cnt:
max_cnt = result[h][w]
last = cur
i = i + 1
print i
video.release()
print max_cnt
return result, max_cnt
def same_region(img1, img2):
dist = mc.diff(img1,img2)
if mc.average(dist) > 20:
retur True
return False
def same_img(img1, img2):
dist = mc.diff(img1, img2)
if mc.average(dist) < 12:
return True
return False
def same_img(img1, img2):
dist = mc.diff(img1, img2)
if mc.average(dist) < 12:
return True
return False
