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### Model description
I know the transformers library has not included object tracking models in the past, but this one can either plug into any object detection model or be an end-to-end open world …
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# Christian Mills - Working with COCO Segmentation Annotations in Torchvision
Learn how to work with COCO segmentation annotations in torchvision for instance segmentation tasks.
[https://christianj…
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**Hi experts,
My system was linux 20.04 with python 3.7
When I run the TractSeg -i Diffusion.nii.gz --raw_diffusion_input, it presented :**
Creating brain mask...
Warning: An input intended to be …
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**Describe the bug**
I am running the spineps for t1 dataset, it runs smoothly for t2_dataset but giving the error assert.affine errors for zoom, origin and shape of the segmentation generated and i…
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Hi, i try to run the demo, but after finished exactly the same step with the guide of INSTALL.md and no error encounted, i encounted the problem of "there no e_dcn_v2.so: undefined symbol: __cudaRegis…
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Thanks for sharing great code!
However, I am having trouble getting an error when converting deeplabv3 models with torch2trt.
--> "inference segmentation.ipynb"
The backbone alone such as resne…
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### 🐛 Describe the bug
Segmentation fault in `max_pool1d` when `kernel_size`, `stride` and `dilation` are large.
### Example to reproduce
```python
import torch
self = torch.full((2, 10, 4,…
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# Meeting notes 2.05
## Problems
- What to do as a baseline solution?
- What semi-supervised methods can we use?
- How to add image priors?
## Baseline solution
- We have UNet implemented
- …
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hello,I use the pretrained model (FCN-8s trained to segment Cityscapes) to evaluate on the cityscapes val set, and the IOU is very poor (44%). Have you confirmed the pretrained models?
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Hi !
A quick question about a loss, I've used quite a few losses and loss mixtures without any problems, but when I use iou loss, I only get empty predictions. My ground truth is a multiclass mask, w…