def read_process():
(yield from read_frame_from_stream(transformer.output, pause=True))
first = crop((yield from read_frame_from_stream(transformer.output,
pause=True)),
left=crop_left,
right=crop_right,
bottom=crop_bottom,
top=crop_top)
second = crop(
(yield from read_frame_from_stream(transformer.output,
pause=True)),
left=crop_left,
right=crop_right,
bottom=crop_bottom,
top=crop_top)
self.assertEqual(first, second)
def read_process():
image = (yield from read_frame_from_stream(transformer.output, timeout=1000, pause=False))
target_image = np.copy(image)
for y, row in enumerate(image):
for x, px in enumerate(row):
target_image[y // 2 + ((y % 2) * len(image) // 2)][x // 2 + ((x % 2) * len(row) // 2)] = px
imageio.imsave(platform.output_filename_base + ".png", target_image)
def read_process():
self.assertEqual(
crop((yield from read_frame_from_stream(transformer.output,
pause=True)),
left=crop_left,
right=crop_right,
bottom=crop_bottom,
top=crop_top), testdata_transformed)
def read_process():
for n in range(2):
frame = (yield from
read_frame_from_stream(transformer.outputs[i],
timeout=1000,
pause=False))
imageio.imsave(
platform.output_filename_base + f"_{i}_{n}.png",
frame)
def read_process():
image = (yield from read_frame_from_stream(stream_captured, timeout=1000, pause=False))
imageio.imsave(platform.output_filename_base + "_output_{}.png".format(i_captured), image)
def read_process():
for i in range(2):
image = (yield from read_frame_from_stream(wavelet.output, timeout=1000, pause=False))
imageio.imsave(platform.output_filename_base + str(i) + ".png", image)