chundoong-lab-ta/APWS23/project_full/tools/img2bin.py

41 lines
1.1 KiB
Python
Executable File

import numpy as np
from PIL import Image
import sys
def preprocess(mask_values, pil_img, scale, is_mask):
w, h = pil_img.size
newW, newH = int(scale * w), int(scale * h)
assert newW > 0 and newH > 0, 'Scale is too small, resized images would have no pixel'
pil_img = pil_img.resize((newW, newH), resample=Image.NEAREST if is_mask else Image.BICUBIC)
img = np.asarray(pil_img)
if is_mask:
mask = np.zeros((newH, newW), dtype=np.int64)
for i, v in enumerate(mask_values):
if img.ndim == 2:
mask[img == v] = i
else:
mask[(img == v).all(-1)] = i
return mask
else:
if img.ndim == 2:
img = img[np.newaxis, ...]
else:
img = img.transpose((2, 0, 1))
if (img > 1).any():
img = img / 255.0
return img
if __name__=='__main__':
img = Image.open(sys.argv[1])
img = preprocess(None, img, 0.1, False)
img = img.astype(np.float32)
print(img.shape)
with open(sys.argv[2],'wb') as f:
f.write(img.tobytes())