def find_unchange_pos(video_path):
video = cv2.VideoCapture(video_path)
width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT))
frames = video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)
fps = video.get(cv2.cv.CV_CAP_PROP_FPS)
red = [0x0, 0x0, 0xFF]
step = int(frames / 500) # read 500 frames in total
print width, height, step
pos = 0
last = ''
while (video.isOpened):
if pos % step == 0:
ret, cur = video.read()
bin_cur = op.get_binary(cur)
else:
ret = video.grab()
if not ret:
break
if pos % step != 0:
pos += 1
continue
cv2.imshow('cur', cur)
if pos != 0: # first frame
print 'begin calc'
# diff = mc.diff(cur,last)
for h in range(height):
for w in range(width):
if bin_cur[h][w] == last[h][w]:
cur[h][w] = red
continue
ch, cw = h, w # copy
while ch < height and bin_cur[ch][w] == bin_cur[h][
w]: #almost same color
ch += 1
if ch - h < 10:
continue
while cw < width and bin_cur[h][cw] == bin_cur[h][w]:
cw += 1
if cw - w < 30:
continue
cv2.rectangle(cur, (cw, h), (w, ch), red)
cv2.imshow('last', last)
cv2.imshow('cur', cur)
key = cv2.waitKey(0)
if key == ord('q'):
break
last = bin_cur
pos += 1
print pos
cv2.destroyAllWindows()
video.release()
def find_unchange_pos(video_path):
video = cv2.VideoCapture(video_path)
width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT))
frames = video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)
fps = video.get(cv2.cv.CV_CAP_PROP_FPS)
red = [0x0,0x0,0xFF]
step = int(frames / 500) # read 500 frames in total
print width, height, step
pos = 0
last = ''
while(video.isOpened):
if pos % step == 0:
ret, cur = video.read()
bin_cur = op.get_binary(cur)
else:
ret = video.grab()
if not ret:
break
if pos % step != 0:
pos += 1
continue
cv2.imshow('cur', cur)
if pos != 0: # first frame
print 'begin calc'
# diff = mc.diff(cur,last)
for h in range(height):
for w in range(width):
if bin_cur[h][w]==last[h][w]:
cur[h][w] = red
continue
ch, cw = h,w # copy
while ch < height and bin_cur[ch][w]==bin_cur[h][w]: #almost same color
ch += 1
if ch - h < 10:
continue
while cw < width and bin_cur[h][cw]==bin_cur[h][w]:
cw += 1
if cw - w < 30:
continue
cv2.rectangle(cur, (cw,h),(w,ch), red)
cv2.imshow('last', last)
cv2.imshow('cur', cur)
key = cv2.waitKey(0)
if key == ord('q'):
break
last = bin_cur
pos += 1
print pos
cv2.destroyAllWindows()
video.release()
def find_lines(video_path):
video = cv2.VideoCapture(video_path)
width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT))
frames = video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)
fps = video.get(cv2.cv.CV_CAP_PROP_FPS)
red = [0x0,0x0,0xFF]
step = int(fps * 3) # step 3 seconds
total_frames = 500
print width, width, step
pos = 0
last = ''
# skip first ten minutes
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, fps * 60 * 10)
line_appear = np.zeros(width,dtype=np.uint8)
i = 0
while video.isOpened and i < total_frames:
if pos % step == 0:
ret, cur = video.read()
i += 1
print i
else:
ret = video.grab()
if not ret:
break
if pos % step != 0:
pos += 1
continue
# binary = op.get_binary(cur)
# contours, hierarchy = cv2.findContours(binary, cv2.RETR_EXTERNAL ,cv2.CHAIN_APPROX_SIMPLE)
# cv2.drawContours(cur, contours,-1,(0,0,255),1)
binary = op.get_binary(cur)
edges = cv2.Canny(binary,50,150,apertureSize = 3)
lines = cv2.HoughLines(edges,1,np.pi/180,200)
# print edges, lines
if lines != None:
for rho, theta in lines[0]:
# only horizontal line reserved
if np.sin(theta) != 1:
continue
# intersect is rho
# print rho
line_appear[int(rho)] += 1
cv2.line(cur,(0,rho),(width,rho),red,2)
cv2.imshow('cur', cur)
pos += 1
key = cv2.waitKey(1)
if key == ord('q'):
break
# print pos
max_cnt = max(line_appear)
valid_lines = []
last_h = -1
for h in range(width):
if line_appear[h] * 3 > max_cnt:
if last_h == -1:
last_h = h
elif h - last_h > 10 and h - last_h < 50:
valid_lines.append((last_h,h))
last_h = h
return valid_lines
def get_text(board):
board = op.get_binary(board)
cv2.imshow('bin', board)
height, width = board.shape
# print height,width
left,right = 0,0
imgs = []
pos = []
row = 0
# eliminate left few columns that are not backgound
while row < width and sum(board[0:,row]) != 0 and sum(board[0:,row])!=255 * height:
row += 1
while row < width:
#sum of this row
background = 0
pixel_sum = sum(board[0:,row])
while pixel_sum == 0 or pixel_sum == 255 * height:
# eliminate background
background = pixel_sum
row += 1
if row >= width:
break
pixel_sum = sum(board[0:,row])
# print 'x',pixel_sum, row
left = row
if row >= width:
break
pixel_sum = sum(board[0:,row])
while row < width and pixel_sum != 0 and pixel_sum != 255 * height:
row += 1
if row >= width:
break
pixel_sum = sum(board[0:,row])
right = row
# print left,right
# if this interval satisfy our need
if right - left < 3 or right - left > 40:
continue
single = board[0:,left:right+1]
# convert background to black
if background == 0:
single = ~single
# eliminate top and bottom backgoound
top = 0
while top < height and sum(single[top,0:])==255*(right-left+1):
top +=1
bottom = height - 1
while bottom > top and sum(single[bottom,0:])==255*(right-left+1):
bottom -= 1
if bottom - top < 10 or bottom - top < height / 2:
continue
pos.append((left,top))
img = cv2.resize(single[top:bottom+1],(24,24))
imgs.append(img)
return imgs, pos
def get_text(board):
board = op.get_binary(board)
cv2.imshow('bin', board)
height, width = board.shape
# print height,width
left, right = 0, 0
imgs = []
pos = []
row = 0
# eliminate left few columns that are not backgound
while row < width and sum(board[0:, row]) != 0 and sum(
board[0:, row]) != 255 * height:
row += 1
while row < width:
#sum of this row
background = 0
pixel_sum = sum(board[0:, row])
while pixel_sum == 0 or pixel_sum == 255 * height:
# eliminate background
background = pixel_sum
row += 1
if row >= width:
break
pixel_sum = sum(board[0:, row])
# print 'x',pixel_sum, row
left = row
if row >= width:
break
pixel_sum = sum(board[0:, row])
while row < width and pixel_sum != 0 and pixel_sum != 255 * height:
row += 1
if row >= width:
break
pixel_sum = sum(board[0:, row])
right = row
# print left,right
# if this interval satisfy our need
if right - left < 3 or right - left > 40:
continue
single = board[0:, left:right + 1]
# convert background to black
if background == 0:
single = ~single
# eliminate top and bottom backgoound
top = 0
while top < height and sum(single[top,
0:]) == 255 * (right - left + 1):
top += 1
bottom = height - 1
while bottom > top and sum(single[bottom,
0:]) == 255 * (right - left + 1):
bottom -= 1
if bottom - top < 10 or bottom - top < height / 2:
continue
pos.append((left, top))
img = cv2.resize(single[top:bottom + 1], (24, 24))
imgs.append(img)
return imgs, pos
def find_lines(video_path):
video = cv2.VideoCapture(video_path)
width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT))
frames = video.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT)
fps = video.get(cv2.cv.CV_CAP_PROP_FPS)
red = [0x0, 0x0, 0xFF]
step = int(fps * 3) # step 3 seconds
total_frames = 500
print width, width, step
pos = 0
last = ''
# skip first ten minutes
video.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, fps * 60 * 10)
line_appear = np.zeros(width, dtype=np.uint8)
i = 0
while video.isOpened and i < total_frames:
if pos % step == 0:
ret, cur = video.read()
i += 1
print i
else:
ret = video.grab()
if not ret:
break
if pos % step != 0:
pos += 1
continue
# binary = op.get_binary(cur)
# contours, hierarchy = cv2.findContours(binary, cv2.RETR_EXTERNAL ,cv2.CHAIN_APPROX_SIMPLE)
# cv2.drawContours(cur, contours,-1,(0,0,255),1)
binary = op.get_binary(cur)
edges = cv2.Canny(binary, 50, 150, apertureSize=3)
lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
# print edges, lines
if lines != None:
for rho, theta in lines[0]:
# only horizontal line reserved
if np.sin(theta) != 1:
continue
# intersect is rho
# print rho
line_appear[int(rho)] += 1
cv2.line(cur, (0, rho), (width, rho), red, 2)
cv2.imshow('cur', cur)
pos += 1
key = cv2.waitKey(1)
if key == ord('q'):
break
# print pos
max_cnt = max(line_appear)
valid_lines = []
last_h = -1
for h in range(width):
if line_appear[h] * 3 > max_cnt:
if last_h == -1:
last_h = h
elif h - last_h > 10 and h - last_h < 50:
valid_lines.append((last_h, h))
last_h = h
return valid_lines
