mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-11-02 04:43:27 +08:00
cbf88a46fa
* 第一次提交 * 补充一处漏翻译 * deleted: docs/en/quantize.md * Update one translation * Update en version * Update one translation in code * Standardize one writing * Standardize one writing * Update some en version * Fix a grammer problem * Update en version for api/vision result * Merge branch 'develop' of https://github.com/charl-u/FastDeploy into develop * Checkout the link in README in vision_results/ to the en documents * Modify a title * Add link to serving/docs/ * Finish translation of demo.md * Update english version of serving/docs/ * Update title of readme * Update some links * Modify a title * Update some links * Update en version of java android README * Modify some titles * Modify some titles * Modify some titles * modify article to document * update some english version of documents in examples * Add english version of documents in examples/visions * Sync to current branch * Add english version of documents in examples * Add english version of documents in examples * Add english version of documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples * Update some documents in examples
48 lines
4.0 KiB
Markdown
48 lines
4.0 KiB
Markdown
English | [简体中文](README_CN.md)
|
||
# YOLOR Ready-to-deploy Model
|
||
|
||
- The YOLOR deployment is based on the code of [YOLOR](https://github.com/WongKinYiu/yolor/releases/tag/weights) and [Pre-trained Model Based on COCO](https://github.com/WongKinYiu/yolor/releases/tag/weights).
|
||
|
||
- （1）The *.pt provided by [Official Repository](https://github.com/WongKinYiu/yolor/releases/tag/weights) should [Export the ONNX Model](#Export-the-ONNX-Model) to complete the deployment. The *.pose model’s deployment is not supported；
|
||
- （2）The ScaledYOLOv4 model trained by personal data should [Export the ONNX Model](#%E5%AF%BC%E5%87%BAONNX%E6%A8%A1%E5%9E%8B). Please refer to [Detailed Deployment Documents](#Detailed-Deployment-Documents) to complete the deployment.
|
||
|
||
|
||
## Export the ONNX Model
|
||
|
||
|
||
Visit the official [YOLOR](https://github.com/WongKinYiu/yolor) github repository, follow the guidelines to download the `yolor.pt` model, and employ `models/export.py` to get the file in `onnx` format. If the exported `onnx` model has a substandard accuracy or other problems about data dimension, you can refer to [yolor#32](https://github.com/WongKinYiu/yolor/issues/32) for the solution.
|
||
|
||
```bash
|
||
# Download yolor model file
|
||
wget https://github.com/WongKinYiu/yolor/releases/download/weights/yolor-d6-paper-570.pt
|
||
|
||
# Export the file in onnx format
|
||
python models/export.py --weights PATH/TO/yolor-xx-xx-xx.pt --img-size 640
|
||
```
|
||
|
||
## Download Pre-trained ONNX Model
|
||
|
||
For developers' testing, models exported by YOLOR are provided below. Developers can download them directly. (The accuracy in the following table is derived from the source official repository)
|
||
| Model | Size | Accuracy | Note |
|
||
|:---------------------------------------------------------------- |:----- |:----- |:----- |
|
||
| [YOLOR-P6-1280](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-p6-paper-541-1280-1280.onnx) | 143MB | 54.1% | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-W6-1280](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-w6-paper-555-1280-1280.onnx) | 305MB | 55.5% | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-E6-1280](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-e6-paper-564-1280-1280.onnx ) | 443MB | 56.4% | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-D6-1280](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-d6-paper-570-1280-1280.onnx) | 580MB | 57.0% | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-D6-1280](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-d6-paper-573-1280-1280.onnx) | 580MB | 57.3% | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-P6](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-p6-paper-541-640-640.onnx) | 143MB | - | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-W6](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-w6-paper-555-640-640.onnx) | 305MB | - | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-E6](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-e6-paper-564-640-640.onnx ) | 443MB | - | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-D6](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-d6-paper-570-640-640.onnx) | 580MB | - | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
| [YOLOR-D6](https://bj.bcebos.com/paddlehub/fastdeploy/yolor-d6-paper-573-640-640.onnx) | 580MB | - | This model file is sourced from [YOLOR](https://github.com/WongKinYiu/yolor)，GPL-3.0 License |
|
||
|
||
|
||
## Detailed Deployment Documents
|
||
|
||
- [Python Deployment](python)
|
||
- [C++ Deployment](cpp)
|
||
|
||
## Release Note
|
||
|
||
- Document and code are based on [YOLOR weights](https://github.com/WongKinYiu/yolor/releases/tag/weights)
|