-
Thanks for all your work and tutorials. It's a great help getting started, but one road block I keep hitting is that your Object Detection example doesn't detect any objects in the test images when tr…
-
@nshaud
I just run the default PyTorch code SegNet_PyTorch_v2.ipynb. However, the accuracy of Vaihingen is about 86%, not as good as your paper. Then I read your paper again, and I found that you …
-
I am trying to train segmentation network on linemod dataset. I have got follwoing error..
I have changed the path (in train.py and data_controller.py) necessary to import linemod rgb and mask files,…
-
Hi @ycszen
The FPS about BiSeNet in paper abstract is tested on a 2048x1024 input image is 105.
But, I just get 2 FPS about BiSeNet(Xception) and 9.5 FPS about BiSeNet(ResNet-18) on TiTan Xp.
-
Hi @lorenmt , thanks for releasing your code!
I am running the single task script `model_segnet_single.py` and the final result seems to be not the same as reported in your paper. Here is my traini…
-
Hi,
@lorenmt
Thanks for releasing cityscape dataset. Now NYUV2 dataset is not compatible to cityscapes dataset since normals data hasn't been uploaded. In this image-to-image methods, should i nee…
ghost updated
5 years ago
-
## Issue description
I'm trying to run a variant of ERFNet on an NVIDIA TX-2 running Jetpack 3.2 (CUDA 9.0 and CuDNN 7).
I get the following error:
**RuntimeError: cuda runtime error (7) : too…
-
Many thanks for great opensource implementation of the semantic segmentation in pytorch ever!
I'm trying to proceed through training 'segnet' model on 'pascal' dataset.
What I've done:
1) insta…
-
Hello @davidtvs thank you for your works. I have a question about camvid training. I try to train from scratch using Camvid dataset which follow [this division](https://github.com/alexgkendall/SegNet-…
-
Hello, @mapleneverfade, I run your code with my own dataset, and I have this error. Before I changed to use my own data, the code ran well. Do you have any idea?
````
pytorch-semantic-segmentation…