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* fit yolov7face file path * TODO：添加yolov7facePython接口Predict * resolve yolov7face.py * resolve yolov7face.py * resolve yolov7face.py * add yolov7face example readme file * [Doc] fix yolov7face example readme file * [Doc]fix yolov7face example readme file * support BlazeFace * add blazeface readme file * fix review problem * fix code style error * fix review problem * fix review problem * fix head file problem * fix review problem * fix review problem * fix readme file problem * add English readme file * fix English readme file
35 lines
2.5 KiB
Markdown
35 lines
2.5 KiB
Markdown
English | [简体中文](README_CN.md)
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# BlazeFace Ready-to-deploy Model
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- BlazeFace deployment model implementation comes from [BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection),and [Pre-training model based on WiderFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection)
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- （1）Provided in [Official library
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](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/tools) *.params, could deploy after operation [export_model.py](#Export PADDLE model);
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- （2）Developers can train BlazeFace model based on their own data according to [export_model. py](https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.5/tools/export_model.py)After exporting the model, complete the deployment。
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## Export PADDLE model
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Visit [BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection) Github library, download and install according to the instructions, download the `. yml` and `. params` model parameters, and use` export_ Model. py `gets the` pad `model file`. yml,. pdiparams,. pdmodel `.
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* Download BlazeFace model parameter file
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|Network structure | input size | number of pictures/GPU | learning rate strategy | Easy/Media/Hard Set | prediction delay (SD855) | model size (MB) | download | configuration file|
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|:------------:|:--------:|:----:|:-------:|:-------:|:---------:|:----------:|:---------:|:--------:|
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| BlazeFace | 640 | 8 | 1000e | 0.885 / 0.855 / 0.731 | - | 0.472 |[Download link](https://paddledet.bj.bcebos.com/models/blazeface_1000e.pdparams) | [Config file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection/blazeface_1000e.yml) |
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| BlazeFace-FPN-SSH | 640 | 8 | 1000e | 0.907 / 0.883 / 0.793 | - | 0.479 |[Download link](https://paddledet.bj.bcebos.com/models/blazeface_fpn_ssh_1000e.pdparams) | [Config file](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection/blazeface_fpn_ssh_1000e.yml) |
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* Export paddle-format file
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```bash
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python tools/export_model.py -c configs/face_detection/blazeface_1000e.yml -o weights=blazeface_1000e.pdparams --export_serving_model=True
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```
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## Detailed Deployment Tutorials
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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## Release Note
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- This tutorial and related code are written based on [BlazeFace](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.5/configs/face_detection)
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