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Running
on
Zero
Running
on
Zero
import numpy as np | |
# ------------------------------------------------------------------------- | |
# 1) util func | |
# ------------------------------------------------------------------------- | |
def c_crop(image): | |
width, height = image.size | |
new_size = min(width, height) | |
left = (width - new_size) / 2 | |
top = (height - new_size) / 2 | |
right = (width + new_size) / 2 | |
bottom = (height + new_size) / 2 | |
return image.crop((left, top, right, bottom)) | |
def pad64(x): | |
return int(np.ceil(float(x) / 64.0) * 64 - x) | |
def HWC3(x): | |
assert x.dtype == np.uint8 | |
if x.ndim == 2: | |
x = x[:, :, None] | |
assert x.ndim == 3 | |
H, W, C = x.shape | |
assert C == 1 or C == 3 or C == 4 | |
if C == 3: | |
return x | |
if C == 1: | |
return np.concatenate([x, x, x], axis=2) | |
if C == 4: | |
color = x[:, :, 0:3].astype(np.float32) | |
alpha = x[:, :, 3:4].astype(np.float32) / 255.0 | |
y = color * alpha + 255.0 * (1.0 - alpha) | |
y = y.clip(0, 255).astype(np.uint8) | |
return y | |
def print_load_warning(missing: list = None, unexpected: list = None) -> None: | |
if missing is not None and unexpected is not None and len(missing) > 0 and len(unexpected) > 0: | |
print(f"Got {len(missing)} missing keys:\n\t" + "\n\t".join(missing)) | |
print("\n" + "-" * 79 + "\n") | |
print(f"Got {len(unexpected)} unexpected keys:\n\t" + "\n\t".join(unexpected)) | |
elif missing is not None and len(missing) > 0: | |
print(f"Got {len(missing)} missing keys:\n\t" + "\n\t".join(missing)) | |
elif unexpected is not None and len(unexpected) > 0: | |
print(f"Got {len(unexpected)} unexpected keys:\n\t" + "\n\t".join(unexpected)) | |