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person class (skiers are detected as people; runrazor's
tracking layer handles subject selection).rrreframe clip.mp4 --detector nn --nn-model yolox_s
downloads the file once, verifies its SHA-256, and caches it. The smaller
yolox_nano ships inside the runrazor package itself and needs no download.| file | base model | input | notes |
|---|---|---|---|
yolox_s-v1.onnx | YOLOX-S | 640 | best accuracy/speed balance; recommended upgrade |
yolox_m-v1.onnx | YOLOX-M | 640 | highest recall; ~2.4x slower than S on CPU |
format=yolox_raw,
conf, class_id=0) in the ONNX metadata, so it is a drop-in -- no extra flags.LICENSE). The networks were not retrained; the upstream .pth weights were
exported to ONNX. YOLOX is pretrained on the COCO dataset.