| import torch |
| from torchvision.utils import make_grid |
| import torchvision |
| import matplotlib.pyplot as plt |
| import cv2 |
|
|
|
|
| def convert_color(img_path): |
| plt.figure() |
| img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE) |
| plt.imsave(img_path, img, cmap=plt.get_cmap('viridis')) |
| plt.close() |
|
|
|
|
| def save_tensor(tensor, path, pad_value=254.0,): |
| print('save_tensor', path) |
| tensor = tensor.to(torch.float).detach().cpu() |
| if tensor.type() == 'torch.BoolTensor': |
| tensor = tensor*255 |
| if len(tensor.shape) == 3: |
| tensor = tensor.unsqueeze(1) |
| tensor = make_grid(tensor, pad_value=pad_value, normalize=False).permute(1, 2, 0).numpy().copy() |
| torchvision.utils.save_image(torch.tensor(tensor).permute(2, 0, 1), path) |
| convert_color(path) |
|
|
