while True:
# check to see if we should stop
if max_frames:
if t > max_frames:
break
# capture the next frame
frame = ocv.cvQueryFrame(cap)
# if we've reached the end of the video
if frame is None:
break
if t>=(max_frames-NUM_FRAMES):
# Convert to floating point
ocv.cvConvert(frame,working)
# Smooth it to remove artifacts
ocv.cvSmooth(working,working,ocv.CV_GAUSSIAN,3,3,0.5)
# Add to accumulator
ocv.cvAcc(working,accumulator)
# Divide accumulator my number of frames for mean background
ocv.cvDiv(accumulator,ones,background,1.0/n)
# Convert background to target (for viewing/saving)
ocv.cvConvert(background,target)
# Increment accumulator divisor
n += 1
# create some temporary frames
gray = ocv.cvCreateImage(frame_size,8,1)
#backgray = ocv.cvCreateImage(frame_size,8,1)
grayfloat = ocv.cvCreateImage(frame_size,ocv.IPL_DEPTH_32F,1)
background = ocv.cvCreateImage(frame_size,ocv.IPL_DEPTH_32F,1)
ones = ocv.cvCreateImage(frame_size,ocv.IPL_DEPTH_32F,1)
thresh = ocv.cvCreateImage(frame_size,8,1)
output = ocv.cvCloneImage(frame)
masked = ocv.cvCreateImage(frame_size,8,1)
#mask = ocv.cvLoadImage(maskname,0)
backgray = ocv.cvLoadImage(backname,0)
#print back
#print frame_size.width, frame_size.height
#ocv.cvConvertImage(back,backgray)
ocv.cvConvert(backgray,background)
if show:
ocv.cvNamedWindow ('Track', ocv.CV_WINDOW_AUTOSIZE)
ocv.cvMoveWindow ('Track', 100, 100)
font = ocv.cvInitFont(None,ocv.CV_FONT_HERSHEY_PLAIN, 1.0, 1.0, 0, 1, 8)
#######################################
tracks = open(trackname,'w')
targets = []
for i in range(ntargets):
targets.append([0.0,0.0,0.0,0.0,0.0,0.0,0.0])
while True: