Fast capture and 2D image stacking as 3D numpy array with Python and Raspberry Pi
Mark Lawrence
breamoreboy at yahoo.co.uk
Mon Jul 6 17:59:53 EDT 2015
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
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