YOLOv7 and YOLOv9 Series Model Release - ONNX
Description:
This release contains YOLOv7 and YOLOv9 models exported from the original reparametrized models.
All models were exported in their original size format, 640x640
Models with Dynamic Batching and TRT Efficient NMS plugin
Models with "end2end" in their name were exported with dynamic batching and include the TRT Efficient NMS plugin.
Evaluation Models
YOLOv9 / YOLOv9 QAT
- eval-yolov9-c-end2end.onnx
- eval-yolov9-e-end2end.onnx
- eval-yolov9-c-qat-end2end.onnx
- eval-yolov9-e-qat-end2end.onnx
Parameters Used:
python3 export.py \
--weights <yolo>.pt \
--imgsz 640 \
--dynamic \
--inplace \
--simplify \
--topk-all 300 \
--iou-thres 0.7 \
--conf-thres 0.001 \
--include onnx_end2end YOLOv7 / YOLOv7 QAT
- eval-yolov7-end2end.onnx
- eval-yolov7x-end2end.onnx
- eval-yolov7-qat-end2end.onnx
- eval-yolov7x-qat-end2end.onnx
Parameters Used:
python3 export.py \
--weights <model>.pt \
--img-size 640 \
--dynamic-batch \
--simplify \
--grid \
--end2end \
--topk-all 300 \
--iou-thres 0.7 \
--conf-thres 0.001 Inference Models
YOLOv9 / YOLOv9 QAT
- infer-yolov9-c-end2end.onnx
- infer-yolov9-e-end2end.onnx
- infer-yolov9-c-qat-end2end.onnx
- infer-yolov9-e-qat-end2end.onnx
Parameters Used:
python3 export.py \
--weights <yolo>.pt \
--imgsz 640 \
--dynamic \
--inplace \
--simplify \
--topk-all 100 \
--iou-thres 0.45 \
--conf-thres 0.25 \
--include onnx_end2end YOLOv7 / YOLOv7 QAT
- infer-yolov7-end2end.onnx
- infer-yolov7x-end2end.onnx
- infer-yolov7-qat-end2end.onnx
- infer-yolov7x-qat-end2end.onnx
Parameters Used:
python3 export.py \
--weights <model>.pt \
--img-size 640 \
--dynamic-batch \
--simplify \
--grid \
--end2end \
--topk-all 100 \
--iou-thres 0.45 \
--conf-thres 0.25 Models with Dynamic Batching
Models without "end2end" in their name were exported only with dynamic batching:
Inference Models YOLOv9 and YOLOv7
- infer-yolov7.onnx
- infer-yolov7x.onnx
- infer-yolov9-c.onnx
- infer-yolov9-e.onnx
- infer-yolov9-c-qat.onnx
- infer-yolov9-e-qat.onnx