def save_image(tensor, **para): dir = 'results' image = tensor.cpu().clone() # we clone the tensor to not do changes on it image = image.squeeze(0) # remove the fake batch dimension image = unloader(image) if not osp.exists(dir): os.makedirs(dir) image.save('results_{}/s{}...
def save_image(tensor,**para): dir='results'image= tensor.cpu().clone() # we clone the tensor to notdochanges on it image= image.squeeze(0) # remove the fake batch dimension image=unloader(image)ifnot osp.exists(dir): os.makedirs(dir) image.save('results_{}/s{}-c{}-l{}-e{}...
#!/usr/bin/env python # _*_ coding:utf-8 _*_ import torch from torchvision import utils as vutils def save_image_tensor(input_tensor: torch.Tensor, filename): """ 将tensor保存为图片 :param input_tensor: 要保存的tensor :param filename: 保存的文件名 """ assert (len(input_tensor....
2021-12-10 21:57:19.573 | INFO | __main__:image_stitching:49 - 待拼接图片的原尺寸: (460, 460) 2021-12-10 21:57:19.575 | INFO | __main__:image_stitching:52 - 待拼接图片重置尺寸: (1280, 1280) 2021-12-10 21:57:19.654 | INFO | __main__:image_stitching:...
image=unloader(image) plt.imshow(image)iftitleisnot None: plt.title(title) plt.pause(0.001) # pause a bit so that plots are updated #直接保存tensor格式图片 def save_image(tensor,**para): dir='results'image= tensor.cpu().clone() # we clone the tensor to notdochanges on it ...
plt.imshow(image)if title is not None:plt.title(title)plt.pause(0.001) # pause a bit so that plots are updated #直接保存tensor格式图⽚ def save_image(tensor, **para):dir = 'results'image = tensor.cpu().clone() # we clone the tensor to not do changes on it image = image....
from torchvision.utils import make_grid, save_image dataiter = iter(dataloader) img = make_grid(next(dataiter)[0], 4) # 拼成4*4网格图片,且会转成3通道 to_img = T.ToPILImage() to_img(img) save_image(img, 'a.png') Image.open('a.png') ...
2.将train_model的字典的state_dict(),使用torch.save(model_dict, .tar)保存到tar文件中 4.在show image中: 1.显示loss值的图片:生成G_D_losses.jpg 2.将生成的假图片保存成动画 1def_save_img_list(img_list, save_path, config):2#_show_img_list(img_list)3metadata = dict(title='generator i...
image.save(filename, tensor) Saves Tensortensorto disk at pathfilename. The format to which the image is saved is extrapolated from thefilename's extension suffix. Thetensorshould be of sizenChannel x height x width. To save with a minimal loss, the tensor values should lie in the range...
这里以 ImageNet 上训练 ResNet-50 为例，展示仅需几行代码就能在项目中使用 TorchShard。通常 ResNet-50 设计范式包含两部分：卷积块和全连接层，如下图 1 所示。一般来说，由于大量的类依赖于数据集，最后的线性层比卷积块有更多的参数。所以我们切片最后一个线性层来检查其最大尺寸。图 1：DDP 以及 DDP ...