ISP/sim/transform/raw_cut.py

import imageio
import numpy as np

cut_width = 1936
cut_height = 1088

if __name__ == '__main__':
    # txt = open('./test.dat', 'w')
    binfile = open('./test.bin', "wb")
    image = imageio.imread_v2('./im.tif')
    
    print(image.shape)
    cut = image[0:cut_height, 0:cut_width]
    print(cut.shape)
    cut = np.array(cut, dtype=np.int16)

    for data in list(cut.flatten()):
        # txt.write('%02x\n%02x\n' % (data & 0x00ff, (data & 0xff00) >> 4))
        binfile.write(data)
    # txt.close()
    binfile.close()

    # imageio.imsave('./test.tif', cut)