import numpy as np
import cv2

filename = '190204045325.bytearray'

height = 3024
width = 4032

pixel_data = []

with open(filename, 'rb') as f:
    for row in range(height):
        for col_group in range(width / 4):
            chunk = map(ord, list(f.read(5)))
            p0 = (chunk[0] << 2) | ((chunk[4] >> 0) & 0x3)
            p1 = (chunk[1] << 2) | ((chunk[4] >> 2) & 0x3)
            p2 = (chunk[2] << 2) | ((chunk[4] >> 4) & 0x3)
            p3 = (chunk[3] << 2) | ((chunk[4] >> 6) & 0x3)
            pixel_data += [p0, p1, p2, p3]

img = np.array(pixel_data, np.uint16).reshape((height, width))
img *= 0x40 # Full scale 16bit

cv2.imwrite('12345a.jpg', np.uint8(cv2.cvtColor(img, cv2.COLOR_BayerBG2BGR) / 256))
cv2.imwrite('12345b.jpg', np.uint8(cv2.cvtColor(img, cv2.COLOR_BayerRG2BGR) / 256))
cv2.imwrite('12345c.jpg', np.uint8(cv2.cvtColor(img, cv2.COLOR_BayerGB2BGR) / 256))
cv2.imwrite('12345d.jpg', np.uint8(cv2.cvtColor(img, cv2.COLOR_BayerGR2BGR) / 256))