def main():
stage = mpipe.OrderedStage(echo)
pipe = mpipe.Pipeline(stage)
for val in (0, 1, 2, 3):
pipe.put(val)
pipe.put(None) # Stop the pipeline.
def main(watched_path, mountpoint, logfile="test_log.csv"):
oh = OutputHandler.OutputHandler(logfile)
def signal_handler(sig, frame): # TODO maybe bug - needs two Ctrl+C to exit
oh.close()
signal.signal(signal.SIGINT, signal_handler)
stage1 = mpipe.UnorderedStage(scanner.scan_file, size=3, max_backlog=3)
stage2 = mpipe.OrderedStage(oh.write, size=1)
pipeline = mpipe.Pipeline(stage1.link(stage2))
watcher = Watcher(watched_path, pipeline)
watcher.main([sys.argv[0], mountpoint], foreground=True)
import mpipe
def echo(value):
print(value)
stage = mpipe.OrderedStage(echo)
pipe = mpipe.Pipeline(stage)
for val in (0, 1, 2, 3):
pipe.put(val)
pipe.put(None) # Stop the pipeline.
if __name__ == "__main__":
for f in range(2):
frame = camera.capture(encoding="raw")
ls[f] = np.ctypeslib.as_array(frame.buffer_ptr[0].data,shape=(800,1280))
del frame
i = 2
cont = True
while cont:
stage1 = mpipe.OrderedStage(cap, 1)
stage2 = mpipe.OrderedStage(processing, 1)
pipe = mpipe.Pipeline(stage1.link(stage2))
pipe.put(i,camera,ls)
if(i==100):
i=0
else:
i+=1
for result in pipe.results():
counter = result
if counter >pix_threshold:
cont = False
for i in range(100):
# Create the output window.
cv2.namedWindow('diff average 4', cv2.cv.CV_WINDOW_NORMAL)
def step2(tstamp):
"""Display the image, stamped with framerate."""
fps_text = '{:.2f}, {:.2f}, {:.2f} fps'.format(*framerate2.tick())
util.writeOSD(common[tstamp]['image_diff'], (fps_text,))
cv2.imshow('diff average 4', common[tstamp]['image_diff'])
cv2.waitKey(1) # Allow HighGUI to process event.
return tstamp
# Assemble the pipeline.
stage1 = mpipe.Stage(Step1)
stage2 = mpipe.FilterStage(
(mpipe.OrderedStage(step2),),
max_tasks=2, # Allow maximum 2 tasks in the viewer stage.
drop_results=True,
)
stage1.link(stage2)
pipe = mpipe.Pipeline(
mpipe.FilterStage(
(stage1,),
max_tasks=3, # Allow maximum 3 tasks in pipeline.
drop_results=True,
)
)
# Create an auxiliary process (modeled as a one-task pipeline)
# that simply pulls results from the image processing pipeline,
# and deallocates associated shared memory after allowing
# Create the output window.
cv2.namedWindow('diff average 3', cv2.cv.CV_WINDOW_NORMAL)
def step2(tstamp):
"""Display the image, stamped with framerate."""
fps_text = '{:.2f}, {:.2f}, {:.2f} fps'.format(*framerate.tick())
util.writeOSD(common[tstamp]['image_diff'], (fps_text, ))
cv2.imshow('diff average 3', common[tstamp]['image_diff'])
cv2.waitKey(1) # Allow HighGUI to process event.
return tstamp
# Assemble the pipeline.
stage1 = mpipe.Stage(Step1)
stage2 = mpipe.OrderedStage(step2)
stage1.link(stage2)
pipe = mpipe.Pipeline(stage1)
# Create an auxiliary process (modeled as a one-task pipeline)
# that simply pulls results from the image processing pipeline,
# and deallocates associated shared memory after allowing
# the designated amount of time to pass.
def deallocate(age):
for tstamp in pipe.results():
delta = datetime.datetime.now() - tstamp
duration = datetime.timedelta(seconds=age) - delta
if duration > datetime.timedelta():
time.sleep(duration.total_seconds())
del common[tstamp]