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46 lines
1.8 KiB
Markdown
46 lines
1.8 KiB
Markdown
English | [简体中文](README_CN.md)
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# SCRFD Python Deployment Example
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Two steps before deployment
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- 1. Software and hardware should meet the requirements. Please refer to [FastDeploy Environment Requirements](../../../../../../docs/cn/build_and_install/rknpu2.md)
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This directory provides examples that `infer.py` fast finishes the deployment of SCRFD on RKNPU. The script is as follows
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## Copy model files
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Refer to [SCRFD model conversion](../README.md) to convert SCRFD ONNX model to RKNN model and move it to this directory.
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## Run example
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After copying model files, enter the following command to run it: RKNPU2 Python example
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```bash
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# Download the example code for deployment
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/examples/vision/facedet/scrfd/rknpu2/python
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# Download images
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wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_face_detector_3.jpg
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# Inference
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python3 infer.py --model_file ./scrfd_500m_bnkps_shape640x640_rk3588.rknn \
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--image test_lite_face_detector_3.jpg
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```
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## Visualization
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The visualized result after running is as follows
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<img width="640" src="https://user-images.githubusercontent.com/67993288/184301789-1981d065-208f-4a6b-857c-9a0f9a63e0b1.jpg">
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## Note
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The model needs to be in NHWC format on RKNPU. The normalized image will be embedded in the RKNN model. Therefore, when we deploy with FastDeploy,
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call DisablePermute(C++) or `disable_permute(Python) to disable normalization and data format conversion during preprocessing.
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## Other Documents
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- [SCRFD Model Description](../README.md)
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- [SCRFD C++ Deployment](../cpp/README.md)
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- [Model Prediction Results](../../../../../../docs/api/vision_results/README.md)
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- [Convert SCRFD RKNN Model Files](../README.md)
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