frommodelimportUNetmodel=UNet()# set up dataloaders, etc.output=model(some_input_data)# permute is like np.transpose: (N, C, H, W) => (H, W, N, C)# contiguous is required because of this issue: https://github.com/pytorch/pytorch/issues/764# view: reshapes the output tensor so...
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin 80 Hack-with-Github/Awesome-Hacking 87.886k A collection of various awesome lists for hackers, pentesters and security researchers 81 pytorch/pytorch Python 86.013k Tensors and Dynamic neural networks in Python with...
The yamlConfig.py is modified fromadnand unet2d.py is modified fromPyTorch-UNet. Releases No releases published Packages No packages published Languages Python100.0%
Copy the 'unet' folder to the 'COMFYUI_PATH/models/animate_anyone' folder. Your file structure should look like this: 下载完后你的模型文件夹的目录结构应该是这样的 - ComfyUI ... - models - animate_anyone - controlnet config.json diffusion_pytorch_model.safetensors - feature_extractor prepro...
We ported all models found in the original repository in PyTorch, you can find all implemented models here:https://github.com/orobix/Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch/tree/master/src/models vagan-code: Reposiory for the reference paper from its authors ...
mateuszbuda_brain-segmentation-pytorch_unet.md fixed some typos spotted 2 years ago nicolalandro_ntsnet-cub200_ntsnet.md Merge pull requestpytorch#97from Bgreen23/add-github-id-to-cub200 2 years ago nvidia_deeplearningexamples_ssd.md Add GitHub id to cards for GitHub stars integration ...
Pytorch 1.0 Python 3+ cuda 9.0+ install apex: Tools for easy mixed precision and distributed training in Pytorch $ git clone https://github.com/NVIDIA/apex $ cd apex $ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./ ...
Implementation of Denoising Diffusion Probabilistic Model in Pytorch - account for researchers still training on cifar https://github.com/lu… · lucidrains/denoising-diffusion-pytorch@3343eeb
device="cuda"model=UNet().to(device)ckpt=torch.load("unconditional_ckpt.pt")model.load_state_dict(ckpt)diffusion=Diffusion(img_size=64,device=device)x=diffusion.sample(model,n=16)plot_images(x) Conditional Model This model was trained onCIFAR-10 64x64with 10 classesairplane:0, auto:1, bi...
catalyst-dl run -C configs/generated/ZVZ-real/resnet18_unet/config.yml configs/generated/ZVZ-real/resnet18_unet/class_config.yml --logdir logs/inference --resume path/to/checkpoint.pth Data preparation Dataset preparation Custom Experiment class will read your dataset, but first you have to pre...