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### 📚 Documentation Improvement
Links to documentation pages are broken e.g.:
https://docs.deci.ai/super-gradients/docstring/training/metrics.html#training.metrics.detection_metrics.DetectionMet…
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Decide on models to try.
Document the models and the decision.
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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When trying to run the grounded_sam_demo.py in the provided docker, I get this error stating:
```
$ python Grounded-Segment-Anything/grounded_sam_demo.py
A module that was compiled using NumPy …
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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [ ] I have the link to my latest merged PR
### Latest Merged PR Lin…
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Hi,
I’m using YOLOv9 for segmentation tasks and noticed that quantization is currently supported for object detection models. Since the backbone is the same across all YOLOv9 variants, I wanted to …
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Hello, thank you for the code and your work, this is not exactly an issue but I am eager to know where did you find the models for the detection and the recognition and how exactly did you convert the…
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I tried running dorado v0.8 basecaller with modified base detection:
dorado basecaller --modified-bases-models rna004_130bps_sup@v5.1.0_m6A_DRACH@v1 > test_output.bam hac test.pod5
This was sched…
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Pytorch recently included pretrained object detection models such FastRCNN (
`torchvision.models.detection.faster_rcnn`).
Do you know how to integrate them with fastai?
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I am creating a React JS-based front end that employs the Tensorflow JS Simple Face Detection model. The application runs fine when being run on the dev environment using `npm run dev`. However when I…