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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>
72 lines
3.6 KiB
Markdown
Executable File
72 lines
3.6 KiB
Markdown
Executable File
English | [简体中文](README_CN.md)
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# YOLOv5Lite Ready-to-deploy Model
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- The YOLOv5Lite Deployment is based on the code of [YOLOv5-Lite](https://github.com/ppogg/YOLOv5-Lite/releases/tag/v1.4)
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and [Pre-trained Model Based on COCO](https://github.com/ppogg/YOLOv5-Lite/releases/tag/v1.4)。
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- （1）The *.pt provided by [Official Repository](https://github.com/ppogg/YOLOv5-Lite/releases/tag/v1.4) should [Export the ONNX Model](#Export-the-ONNX-Model)to complete the deployment；
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- （2）The YOLOv5Lite model trained by personal data should [Export the ONNX Model](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B). Refer to [Detailed Deployment Documents](#Detailed-Deployment-Documents) to complete the deployment.
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## Export the ONNX Model
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- Auto-acquisition
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Visit official [YOLOv5Lite](https://github.com/ppogg/YOLOv5-Lite)
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github repository, follow the guidelines to download the `yolov5-lite-xx.onnx` model(Tips: The official ONNX files are currently provided without the decode module)
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```bash
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# Download yolov5-lite model files(.onnx)
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Download from https://drive.google.com/file/d/1bJByk9eoS6pv8Z3N4bcLRCV3i7uk24aU/view
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Official Repo also supports Baidu cloud download
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```
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- Manual Acquisition
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Visit official [YOLOv5Lite](https://github.com/ppogg/YOLOv5-Lite)
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github repository, follow the guidelines to download the `yolov5-lite-xx.pt` model, and employ `export.py` to get files in `onnx` format.
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- Export ONNX files with the decode module
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First refer to [YOLOv5-Lite#189](https://github.com/ppogg/YOLOv5-Lite/pull/189) to modify the code.
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```bash
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# Download yolov5-lite model files(.pt)
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Download from https://drive.google.com/file/d/1oftzqOREGqDCerf7DtD5BZp9YWELlkMe/view
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Official Repo also supports Baidu cloud download
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# Export files in onnx format
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python export.py --grid --dynamic --concat --weights PATH/TO/yolov5-lite-xx.pt
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```
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- Export ONNX files without the docode module(No code changes are required)
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```bash
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# Download yolov5-lite model files
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Download from https://drive.google.com/file/d/1oftzqOREGqDCerf7DtD5BZp9YWELlkMe/view
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Official Repo also supports Baidu cloud download
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# Export files in onnx format
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python export.py --grid --dynamic --weights PATH/TO/yolov5-lite-xx.pt
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```
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## Download Pre-trained ONNX Model
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For developers' testing, models exported by YOLOv5Lite are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository)
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| Model | Size | Accuracy | Note |
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|:---------------------------------------------------------------- |:----- |:----- |:----- |
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| [YOLOv5Lite-e](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-e-sim-320.onnx) | 3.1MB | 35.1% | This model file is sourced from [YOLOv5-Lite](https://github.com/ppogg/YOLOv5-Lite)，GPL-3.0 License |
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| [YOLOv5Lite-s](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-s-sim-416.onnx) | 6.3MB | 42.0% | This model file is sourced from [YOLOv5-Lite](https://github.com/ppogg/YOLOv5-Lite)，GPL-3.0 License |
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| [YOLOv5Lite-c](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-c-sim-512.onnx) | 18MB | 50.9% | This model file is sourced from[YOLOv5-Lite](https://github.com/ppogg/YOLOv5-Lite)，GPL-3.0 License |
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| [YOLOv5Lite-g](https://bj.bcebos.com/paddlehub/fastdeploy/v5Lite-g-sim-640.onnx) | 21MB | 57.6% | This model file is sourced from [YOLOv5-Lite](https://github.com/ppogg/YOLOv5-Lite)，GPL-3.0 License |
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## Detailed Deployment Documents
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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## Release Note
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- Document and code are based on [YOLOv5-Lite v1.4](https://github.com/ppogg/YOLOv5-Lite/releases/tag/v1.4)
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