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import cv2 | |
import numpy as np | |
def pad64(x): | |
return int(np.ceil(float(x) / 64.0) * 64 - x) | |
def safer_memory(x): | |
# Fix many MAC/AMD problems | |
return np.ascontiguousarray(x.copy()).copy() | |
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 resize_image_with_pad(input_image, resolution): | |
img = HWC3(input_image) | |
H_raw, W_raw, _ = img.shape | |
k = float(resolution) / float(min(H_raw, W_raw)) | |
interpolation = cv2.INTER_CUBIC if k > 1 else cv2.INTER_AREA | |
H_target = int(np.round(float(H_raw) * k)) | |
W_target = int(np.round(float(W_raw) * k)) | |
img = cv2.resize(img, (W_target, H_target), interpolation=interpolation) | |
H_pad, W_pad = pad64(H_target), pad64(W_target) | |
img_padded = np.pad(img, [[0, H_pad], [0, W_pad], [0, 0]], mode='edge') | |
def remove_pad(x): | |
return safer_memory(x[:H_target, :W_target]) | |
return safer_memory(img_padded), remove_pad | |