video = add(video1,video2)
#video = ((np.ones(SIMSHAPE,dtype = "uint16")*2**8,)*2 for i in range(NFRAMES))
#: crop video to selected region of interest
video = crop(video, roi = ((0,SHAPE[0]), (0,SHAPE[1])))
#: apply dust particles
dust1 = plt.imread(DUST1_PATH)[...,0] #float normalized to (0,1)
dust2 = plt.imread(DUST2_PATH)[...,0]
dust = ((dust1,dust2),)*NFRAMES
video = multiply(video, dust)
video = (tuple((adc(f, noise_model = NOISE_MODEL, saturation = SATURATION, readout_noise = READOUT_NOISE, bit_depth = ADC_BIT_DEPTH) for f in frames)) for frames in video)
if __name__ == "__main__":
#: no need to load video, but this way we load video into memory, and we
#: can scroll back and forth with the viewer. Uncomment the line below
#video = load(video, NFRAMES) # loads and displays progress bar
#: camera 1
viewer1 = VideoViewer(video, count = NFRAMES, id = 0, vmin = 0, cmap = "gray")
viewer1.show()
#: camera 2
viewer2 = VideoViewer(video, count = NFRAMES, id = 1, vmin = 0, cmap = "gray")
viewer2.show()
dtype="uint16")
#: crop video to selected region of interest
video = crop(video, roi=((0, SHAPE[0]), (0, SHAPE[1])))
#: apply dust particles
if APPLY_DUST:
dust = plt.imread(DUST1_PATH)[0:SHAPE[0], 0:SHAPE[1],
0] #float normalized to (0,1)
dust = ((dust, ), ) * NFRAMES_FULL
video = multiply(video, dust)
video = (tuple((adc(f,
noise_model=NOISE_MODEL,
saturation=SATURATION,
readout_noise=READOUT_NOISE,
bit_depth=BIT_DEPTH) for f in frames)) for frames in video)
if __name__ == "__main__":
#: no need to load video, but this way we load video into memory, and we
#: can scroll back and forth with the viewer. Uncomment the line below.
#video = load(video, NFRAMES) # loads and displays progress bar
#: VideoViewer either expects a multi_frame iterator, or a numpy array
viewer = VideoViewer(video,
count=NFRAMES_FULL,
vmin=0,
cmap="gray",
vmax=VMAX)
viewer.show()