On Monday, July 6, 2015 at 6:00:42 PM UTC-4, Mark Lawrence wrote:
> On 06/07/2015 22:31, Agustin Cruz wrote:
> > I'm working on a Python - Raspberry Pi project in which I need to take
> > about 30 images per second (no movie) and stack each 2D image to a 3D array
> > using numpy array, without saving each 2D capture as a file (because is
> > slow).
> >
> > I found this Python code to take images as fast as possible, but i don't
> > know how to stack all images fast to a 3D stack of images.
> >
> > import io
> > import time
> > import picamera
> > #from PIL import Image
> >
> > def outputs():
> > stream = io.BytesIO()
> > for i in range(40):
> > # This returns the stream for the camera to capture to
> > yield stream
> > # Once the capture is complete, the loop continues here
> > # (read up on generator functions in Python to understand
> > # the yield statement). Here you could do some processing
> > # on the image...
> > #stream.seek(0)
> > #img = Image.open(stream)
> > # Finally, reset the stream for the next capture
> > stream.seek(0)
> > stream.truncate()
> >
> > with picamera.PiCamera() as camera:
> > camera.resolution = (640, 480)
> > camera.framerate = 80
> > time.sleep(2)
> > start = time.time()
> > camera.capture_sequence(outputs(), 'jpeg', use_video_port=True)
> > finish = time.time()
> > print('Captured 40 images at %.2ffps' % (40 / (finish - start)))
> >
> > Does anyone of you know how to stack the 2D images taken in this code to a
> > 3D numpy array using Python and the Raspberry Pi camera module? Without
> > saving each 2D capture as a file
> >
> > Best regards, AgustÃn
> >
>
> http://docs.scipy.org/doc/numpy/reference/generated/numpy.dstack.html is
> the first hit on google for "numpy 3d array stack".
>
> --
> My fellow Pythonistas, ask not what our language can do for you, ask
> what you can do for our language.
>
> Mark Lawrence
Hi Mark,
I know the dstack function can do the job, but i don't know how to implement it
in this case.
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