Fast capture and 2D image stacking as 3D numpy array with Python and Raspberry Pi

[Mark Lawrence]

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, Agustín
>

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