def loop():
cameras, configuration = initcameras()
bg_models, tb, tracks = initloop(cameras, configuration)
while True:
print '' # Debug purposes
print '######################'
print ' NEW FRAME'
print '######################'
print ''
option = bg_models[0].bg.option # get which img you want to visualize
frames = threedgeometry.frameretriever.getframes(cameras)
#frames = threedgeometry.frameretriever.getundistortedframes(cameras)
if not frames: # Video ended
break
bg_models = bgprocess.bgprocess(frames, bg_models)
blobs, subjects = detectionprocess.detectionprocess(bg_models, cameras, frames)
tracks = trackerprocess.trackerprocess(tracks, subjects)
# imshow options
if option is 0:
imshow.showallimg(frames)
elif option is 1:
imshow.showallimg(bgprocess.getbgimg(bg_models))
elif option is 2:
imshow.showallimg(bgprocess.getbinimg(bg_models))
elif option is 3:
imshow.showallimg(bgprocess.getscanimg(bg_models))
elif option is 4:
imshow.showallimg(bgprocess.getdiffimg(bg_models))
elif option is 5:
imshow.showallimg(imshow.paintcontours(frames, bg_models))
elif option is 6:
imshow.showallimg(imshow.paintblobs(frames, blobs))
elif option is 7:
imshow.showallimg(imshow.paint3dworld(frames, cameras))
#imshow.showallimg(imshow.paintmasks(frames, blobs))
elif option is 8:
imshow.showallimg(imshow.paintsubjectsboxes(frames, subjects))
elif option is 9:
imshow.showallimg(imshow.painttracks(frames, tracks))
# show frames no video
if tb.framebyframe is 1:
cv2.waitKey()
cv2.waitKey(bg_models[0].bg.waitkey)
#tracks = trackerprocess.trackerprocess(tracks, subjects)
datasets.datasetloader.saveconfiguration(cameras, configuration, bg_models)
def loop():
cameras, configuration = initcameras()
bg_models, tb, tracks = initloop(cameras, configuration)
n_frames = 0.
total_time = 0.
while True:
"""
print '' # Debug purposes
print '######################'
print ' NEW FRAME'
print '######################'
print ''
"""
program_starts = time.time()
option = bg_models[0].bg.option # get which img you want to visualize
frames = threedgeometry.frameretriever.getframes(cameras)
#frames = threedgeometry.frameretriever.getundistortedframes(cameras)
if not frames: # Video ended
break
#subjects = detectionprocess.hogdetectionprocess(frames)
bg_models = bgprocess.bgprocess(frames, bg_models)
blobs, subjects = detectionprocess.detectionprocess(bg_models, cameras, frames)
tracks = trackerprocess.trackerprocess(tracks, subjects)
# imshow options
if option is 0:
imshow.showallimg(frames)
#saveframes('1_original', frames)
elif option is 1:
imshow.showallimg(bgprocess.getbgimg(bg_models))
elif option is 2:
imshow.showallimg(bgprocess.getbinimg(bg_models))
#saveframes('2_f1', bgprocess.getbinimg(bg_models))
elif option is 3:
imshow.showallimg(bgprocess.getscanimg(bg_models))
#saveframes('3_fm', bgprocess.getscanimg(bg_models))
elif option is 4:
imshow.showallimg(bgprocess.getdiffimg(bg_models))
#saveframes('4_fc', bgprocess.getdiffimg(bg_models))
elif option is 5:
imshow.showallimg(imshow.paintcontours(frames, bg_models))
#saveframes('5_blobs', imshow.paintcontours(frames, bg_models))
elif option is 6:
imshow.showallimg(imshow.paintblobs(frames, blobs))
#saveframes('6_projection', imshow.paintblobs(frames, blobs))
elif option is 7:
imshow.showallimg(imshow.paint3dworld(frames, cameras))
#imshow.showallimg(imshow.paintmasks(frames, blobs))
elif option is 8:
imshow.showallimg(imshow.paintsubjectsboxes(frames, subjects))
#saveframes('d', frames)
elif option is 9:
imshow.showallimg(imshow.painttracks(frames, tracks))
#saveframes('tracking', frames)
now = time.time()
#print("It has been {0} seconds since the loop started".format(now - program_starts))
# show frames no video
if tb.framebyframe is 1:
cv2.waitKey()
cv2.waitKey(bg_models[0].bg.waitkey)
total_time += now - program_starts
n_frames += 1
"""
if n_frames > 50:
break
"""
print "mean performance time: %s fps: %s" % (total_time/n_frames, 1./(total_time/n_frames))
datasets.datasetloader.saveconfiguration(cameras, configuration, bg_models)
def loop():
cameras, configuration = initcameras()
bg_models, tb, tracks = initloop(cameras, configuration)
n_frames = 0.
total_time = 0.
while True:
"""
print '' # Debug purposes
print '######################'
print ' NEW FRAME'
print '######################'
print ''
"""
program_starts = time.time()
option = bg_models[0].bg.option # get which img you want to visualize
frames = threedgeometry.frameretriever.getframes(cameras)
#frames = threedgeometry.frameretriever.getundistortedframes(cameras)
if not frames: # Video ended
break
#subjects = detectionprocess.hogdetectionprocess(frames)
bg_models = bgprocess.bgprocess(frames, bg_models)
blobs, subjects = detectionprocess.detectionprocess(
bg_models, cameras, frames)
tracks = trackerprocess.trackerprocess(tracks, subjects)
# imshow options
if option is 0:
imshow.showallimg(frames)
#saveframes('1_original', frames)
elif option is 1:
imshow.showallimg(bgprocess.getbgimg(bg_models))
elif option is 2:
imshow.showallimg(bgprocess.getbinimg(bg_models))
#saveframes('2_f1', bgprocess.getbinimg(bg_models))
elif option is 3:
imshow.showallimg(bgprocess.getscanimg(bg_models))
#saveframes('3_fm', bgprocess.getscanimg(bg_models))
elif option is 4:
imshow.showallimg(bgprocess.getdiffimg(bg_models))
#saveframes('4_fc', bgprocess.getdiffimg(bg_models))
elif option is 5:
imshow.showallimg(imshow.paintcontours(frames, bg_models))
#saveframes('5_blobs', imshow.paintcontours(frames, bg_models))
elif option is 6:
imshow.showallimg(imshow.paintblobs(frames, blobs))
#saveframes('6_projection', imshow.paintblobs(frames, blobs))
elif option is 7:
imshow.showallimg(imshow.paint3dworld(frames, cameras))
#imshow.showallimg(imshow.paintmasks(frames, blobs))
elif option is 8:
imshow.showallimg(imshow.paintsubjectsboxes(frames, subjects))
#saveframes('d', frames)
elif option is 9:
imshow.showallimg(imshow.painttracks(frames, tracks))
#saveframes('tracking', frames)
now = time.time()
#print("It has been {0} seconds since the loop started".format(now - program_starts))
# show frames no video
if tb.framebyframe is 1:
cv2.waitKey()
cv2.waitKey(bg_models[0].bg.waitkey)
total_time += now - program_starts
n_frames += 1
"""
if n_frames > 50:
break
"""
print "mean performance time: %s fps: %s" % (total_time / n_frames, 1. /
(total_time / n_frames))
datasets.datasetloader.saveconfiguration(cameras, configuration, bg_models)