pytorch-YOLOv4
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COCO eval results boost by changing NMS function
Hi @Tianxiaomo , I just ported your Yolov4 to Pytorch Lightning. I get the following results evaluating with pycocotools
[email protected] | [email protected]:0.95 | |
---|---|---|
TianXiaomo(pycocotools evaluation) | 0.704 | 0.471 |
Ported to Pytorch Lightning using Yolov5 NMS (pycocotools evaluation) | 0.730 | 0.491 |
Original Yolov4 (custom evaluation) | 0.710 | 0.466 |
The only thing I changed was the NMS function. I used this one from Yolov5 and adapted the head to be compatible with it. The boosts are substantial.
Hey @mikel-brostrom Can you please let me know what changes did you make to get the inference boost ?