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A CV toolkit for my papers.

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When I run the following code: **python test.py --dataset ADE20K --model-zoo EncNet_ResNet50s_ADE --eval** I miss the error and i can't fix it : **ImportError: cannot import name 'gpu' from partially...

I can't download resnet50 and resnet101 model pretrained on the pcontext dataset, since my machine is off-line, it might be something wrong when I download it from the url like...

Using /home/user/anaconda3/lib/python3.7/site-packages Finished processing dependencies for torch-encoding==1.2.2b20201225 您好,我在安装torch-encoding成功之后,import encoding的时候报错: Traceback (most recent call last): File "", line 1, in File "/home/user/PyTorch-Encoding/encoding/__init__.py", line 13, in from . import nn, functions, parallel,...

Recently,I came across the paper Fast FCN in which the author uses the pytorch-encoding repository.In order to test their model on CamVid dataset,what changes should I make apart from writign...

Hi Mr. Zhang: When I test pre-trained model on MINC-2500 using: ``python main.py --dataset minc --model deepten --nclass 23 --resume deepten_minc.pth --eval``, I got the following errors: ``` => loading...

use gpu

Hi, As I was configuring different combinations of ```pytorch``` and ```CUDA``` I realized if your device's current ```nvvc``` version and torch's compiled cuda version differ- which is totally ok for...

Environment: Ubuntu 18.04, CUDA 11.0, PyTorch 1.7.1, A100. When installed from source by `python setup.py install`, an nvcc fatal error raised: ``` nvcc fatal : Unsupported gpu architecture 'compute_80' RuntimeError:...

![image](https://user-images.githubusercontent.com/8041160/94355924-6dcba600-003d-11eb-8578-79af465431dc.png) ![image](https://user-images.githubusercontent.com/8041160/94355926-72905a00-003d-11eb-877f-87a3d5871e27.png) [SyncBN Equations.pdf](https://github.com/zhanghang1989/PyTorch-Encoding/files/5287716/SyncBN.Equations.pdf) [SyncBN Implementation.docx](https://github.com/zhanghang1989/PyTorch-Encoding/files/5287717/SyncBN.Implementation.docx)

Dear HangZhang, Thanks for your code! I was working on a multi-GPU version of my code, which is like: model = CDCK2(xxx) model = encoding.parallel.DataParallelModel(model).cuda() The model is something like...

![image](https://user-images.githubusercontent.com/22472284/100402059-4c675480-3096-11eb-9429-c1a7c284b3c8.png) 我在训练是实话每次都会卡在运行的过程中,train.py里面outputs = self.model(image)这一步走不通。 此外,我设置的pretrained=false,请问为什么每次都会下载pretrained模型呢? 请问这两个问题该怎么解决啊,谢谢!