-
The work I am currently facing needs to add a mask as a four-channel input based on the three-channel picture. I do n’t know how to change the network structure. For example, when using resnet101 as t…
-
## 背景
PyTorch 最近在 2.1.0 版本发布了 `torch.export` 功能，提供了以 PyTorch 2.x 的 dynamo 为核心的模型导出方法。其功能上与我们 Paddle 动转静模型导出 `paddle.jit.save` 相类似，因此我们想要建设一个 repo 能够自动对比 `torch.export` 和 `paddle.jit.save` 的导出成功与否，[…
-
Hello, I want to train my datasets. However, when I try to run the code, the error occurs as follows:
`Namespace(backbone='resnet', base_size=513, batch_size=8, checkname='deeplab-resnet', crop_size=…
-
How can I pass the batch_size to an script that is making use of encoding python package?
```
(torchenc) mona@goku:~$ python test_torch_encoding.py --batch_size 8
Traceback (most recent call las…
-
When I did testing on VOC2012 using the pretrained resnet model, I encountered the following error:
`seg_accuracy_layer.cpp:87] Unexpected label 220. num: 0. row: 109. col: 291`
I tried to modify te…
-
Hi,@rishizek:
Thanks for your implementation of deeplabV3, but I cannot find the multigride architecture as you mentioned in the Evaluation of README file: "repo | MG(1,2,4)+ASPP(6,12,18)+Image P…
-
Hi Xingang, could I ask some questions about the SCNN?
1. What is spatial cross entropy loss in training mentioned in paper?
2. Are labels pixel level segmentation of the same size as input image?
…
-
I am getting the below error in the testing module.
> InvalidArgumentError (see above for traceback): assertion failed: [`labels` out of bound] [Condition x < y did not hold element-wise:x (mean_io…
-
Hello , i tested inference speed and compared it with simple torchvision resnet50 .
I used 2080ti and pytorch 1.4
Results are :
torchvision resnet50 - 13-15 ms
axial-resnet-s - 79-81ms
But in t…
cszer updated
4 years ago
-
We are using the PyTorch deeplabv3_resnet101 model on AWS (on pytorch 1.1), and it suddenly stopped working.
It appears that a recent upgrade to torchvision/inception (!) broke this model:
```
…