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I adapted the "build_convert" of the PASCAL Dataset to convert my dataset to execute the DeepLab, but all my segmentation tests generate a black image prediction.
My dataset has images with 140x14…
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**Describe the bug**
I'm getting` 'DetDataSample' object has no attribute '_gt_sem_seg' ` error when I try to train my model.
**Reproduction**
1. What command or script did you run?
```none
…
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Hi Im a big fan of focal-transformer..
I wonder when are detection and segmentation updated?
Please let me know the approximate schedule.
Thanks.
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Hello, excellent work!
In the readme, I don't see any reference to how inputs need to be transformed before usage. Crawling through the code, I found this:
https://github.com/bdaiinstitute/theia/b…
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What do I need to do in order to use the pix2pixHD code to generate a semantic segmentation map as output (discrete classes, or labels)?
In this way, it would be an image-to-label problem.
Thanks!
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Thanks for the interesting work!
It would be quite beneficial if these methods can be provided as a ready to use class that follows albumentation API which is probably the most used augmentation li…
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Hi,
So, I was trying to use Pixellib to do some segmentation on a video and wanted to load the xception model that was trained on the Pascal voc dataset. Should've been a straight forward task with…
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Hello, really impressive work! Your dense occupancy label generation pipeline is very enlightening. I notice that SurroundOcc achieves SOTA results on 3d Semantic Occupancy prediction and 3D scene co…
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Dear author:
I am a novice in the field of 3d semantic segmentation. I notice your miou in CodaLab competitions is 68.9, but in your paper the result is 67.8. Why are the two results different? Thank…
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Thanks for sharing your work!
https://github.com/DeLightCMU/PSA/blob/588b370d9f240d38832061a70c275cb6eb81232e/semantic-segmentation/network/PSA.py#L64-L95
![image](https://user-images.githubuser…