This package provides a VideoSlicer object that allows you to access a video file as if it is a matrix. You can create VideoView objects from a VideoSlicer object that target specific parts of a video file using native Python slicing and indexing mechanisms. The VideoView objects can be used to iterate over the frames in arbitrary dimensions, resulting in VideoFrame or VideoFrameCRS objects. Both objects provide a convenient interface to transport, resize, save and reference frames from the original video file.
As slicing, indexing and iterating is supported in arbitrary dimensions, the VideoSlicer object can be used to quickly extract timestacks as well as ordinary frames in physical meaningful coordinates.
slicer = VideoSlicer('movie.avi')
view = slicer[:10,::10,::10]
for frame in view:
frame.save('frame{:06d}.jpg'.format(frame.index))
slicer = VideoSlicer('movie.avi')
frame = slicer[10,...]
frame.save('frame.jpg')
frame.plot()
slicer = VideoSlicer('movie.avi', axis=2) # loop over horizontal dimension
for frame in slicer[:,:,::10]:
frame.T.save('timestack{:06d}.jpg'.format(frame.index)) # transpose to have time on the horizontal axis