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36 lines
1.3 KiB
Markdown
36 lines
1.3 KiB
Markdown
English | [简体中文](README_CN.md)
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# RKYOLO Python Deployment Example
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Two steps before deployment
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- 1. Software and hardware should meet the requirements. 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 Picodet on RKNPU. The script is as follows
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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/detection/rkyolo/python
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# Download images
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# copy model
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cp -r ./model /path/to/FastDeploy/examples/vision/detection/rkyolo/python
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# Inference
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python3 infer.py --model_file ./model/ \
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--image 000000014439.jpg
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```
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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, 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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- [PaddleDetection Model Description](..)
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- [PaddleDetection C++ Deployment](../cpp)
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- [model prediction Results](../../../../../../docs/api/vision_results/)
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- [Convert PaddleDetection RKNN Model Files](../README.md)
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