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			* 更新5点人脸对齐的代码 * 更新代码格式 * 解决comment * update example * 更新注释 Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
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SCRFD Ready-to-deploy Model
- SCRFD
- (1)The *.pt provided by the Official Library can be deployed after the Export ONNX Model to complete the deployment;
- (2)As for SCRFD model trained on customized data, please follow Export ONNX Model to complete the deployment.
 
Export ONNX Model
# Download scrfd model files
e.g. download from  https://onedrive.live.com/?authkey=%21ABbFJx2JMhNjhNA&id=4A83B6B633B029CC%215542&cid=4A83B6B633B029CC
# Install the official library to configure the environment. This version should be exported in the following environment:
- Configure the environment manually
  torch==1.8.0
  mmcv==1.3.5
  mmdet==2.7.0
- Configure via docker
  docker pull qyjdefdocker/onnx-scrfd-converter:v0.3
# Export files in onnx format
- Manual generation
  python tools/scrfd2onnx.py configs/scrfd/scrfd_500m.py weights/scrfd_500m.pth --shape 640 --input-img face-xxx.jpg
- docker
  onnx files are in docker's onnx directory
Download Pre-trained ONNX Models
For developers' testing, models exported by SCRFD are provided below. Developers can download and use them directly. (The accuracy of the models in the table is sourced from the official library)
| Model | Size | Accuracy | 
|---|---|---|
| SCRFD-500M-kps-160 | 2.5MB | - | 
| SCRFD-500M-160 | 2.2MB | - | 
| SCRFD-500M-kps-320 | 2.5MB | - | 
| SCRFD-500M-320 | 2.2MB | - | 
| SCRFD-500M-kps-640 | 2.5MB | 90.97% | 
| SCRFD-500M-640 | 2.2MB | 90.57% | 
| SCRFD-1G-160 | 2.5MB | - | 
| SCRFD-1G-320 | 2.5MB | - | 
| SCRFD-1G-640 | 2.5MB | 92.38% | 
| SCRFD-2.5G-kps-160 | 3.2MB | - | 
| SCRFD-2.5G-160 | 2.6MB | - | 
| SCRFD-2.5G-kps-320 | 3.2MB | - | 
| SCRFD-2.5G-320 | 2.6MB | - | 
| SCRFD-2.5G-kps-640 | 3.2MB | 93.8% | 
| SCRFD-2.5G-640 | 2.6MB | 93.78% | 
| SCRFD-10G-kps-320 | 17MB | - | 
| SCRFD-10G-320 | 15MB | - | 
| SCRFD-10G-kps-640 | 17MB | 95.4% | 
| SCRFD-10G-640 | 15MB | 95.16% | 
| SCRFD-10G-kps-1280 | 17MB | - | 
| SCRFD-10G-1280 | 15MB | - | 
Detailed Deployment Tutorials
Release Note
- This tutorial and related code are written based on SCRFD CommitID:17cdeab