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* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
3.0 KiB
Executable File
3.0 KiB
Executable File
English | 简体中文
YOLOv7 Prepare the model for Deployment
-
YOLOv7 deployment is based on YOLOv7 branching code, and COCO Pre-Trained Models.
- （1）The *.pt provided by the Official Library can be deployed after the export ONNX model operation; *.trt and *.pose models do not support deployment.
- （2）As for YOLOv7 model trained on customized data, please follow the operations guidelines in Export ONNX model and then refer to Detailed Deployment Tutorials to complete the deployment.
Export ONNX Model
# Download yolov7 model file
wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt
# Export onnx file (Tips: in accordance with YOLOv7 release v0.1 code)
python models/export.py --grid --dynamic --weights PATH/TO/yolov7.pt
# If your code supports exporting ONNX files with NMS, please use the following command to export ONNX files, then refer to the example of `yolov7end2end_ort` or `yolov7end2end_ort`
python models/export.py --grid --dynamic --end2end --weights PATH/TO/yolov7.pt
To facilitate testing for developers, we provide below the models exported by YOLOv7, which developers can download and use directly. (The accuracy of the models in the table is sourced from the official library)
| Model | Size | Accuracy | Note |
|---|---|---|---|
| YOLOv7 | 141MB | 51.4% | This model file comes from YOLOv7, GPL-3.0 License |
| YOLOv7x | 273MB | 53.1% | This model file comes from YOLOv7, GPL-3.0 License |
| YOLOv7-w6 | 269MB | 54.9% | This model file comes from YOLOv7, GPL-3.0 License |
| YOLOv7-e6 | 372MB | 56.0% | This model file comes from YOLOv7, GPL-3.0 License |
| YOLOv7-d6 | 511MB | 56.6% | This model file comes from YOLOv7, GPL-3.0 License |
| YOLOv7-e6e | 579MB | 56.8% | This model file comes from YOLOv7, GPL-3.0 License |
Detailed Deployment Tutorials
Version
- This tutorial and related code are written based on YOLOv7 0.1