Football analyzer pipeline#19
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Apr 28, 2026
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- Support player detection, referee, and ball detection, within a single model
- Support camera movement compensation
- Custom drawing, of the results
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This one requires a custom trained model, do we make it part of the project, or do we upload it to HF? |
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Thanks for the PR! let's make the model a part of the project for now, if not too big. |
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one request - is it possible to move all the module level imports to the method level instead ? This will speed up pipeline startup as gstreamer scans all python scripts for elements at startup, and module level imports are executed, so we want to avoid these imports. The other elements in the framework all avoid module level imports. 🙏 |
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Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
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…ine with ONNX/YOLO class-name and FP16 handling, plus the football models. Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
…a Yocto layer for the on-board gst-python-ml stack. Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
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Looks good, thanks! I think it would be good to have an |
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
…on the original-resolution frame, expose the detector's confidence/NMS thresholds, and harden the overlay's kit-colour referee detection, box de-duplication, missed-detection bridging and circle smoothing. Signed-off-by: Marcus Edel <marcus.edel@collabora.com>
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