from cv2_45 import cv2
import numpy as np

img_cv = cv2.imread('example_image.tiff', cv2.IMREAD_ANYDEPTH)
img_cv = img_cv.view(np.int32)
print(img_cv.max()) # 40950

# Since the max_value is less than 2^16, let's cast it to 16bit
img_cv_16bit = img_cv.astype(np.uint16)

cv2.imwrite('output_cv_16bit.png', img_cv_16bit)

# Actually, it looks like those max values are just spurious extra bright spots.
# We can probably clip it to 8bit range... if we scale it down by 16

img_cv_8bit = np.clip(img_cv_16bit // 16, 0, 255).astype(np.uint8)

cv2.imwrite('output_cv_8bit.png', img_cv_8bit)


# =========
# And just for demonstration, PIL reads it as int32 with the same max

from PIL import Image

img_pil = Image.open('example_image.tiff')
img_pil_cv = np.array(img_pil)
print(img_pil_cv.dtype) # int32
print(img_pil_cv.max()) # 40950