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37 lines
1.5 KiB
Markdown
37 lines
1.5 KiB
Markdown
# PaddleDetection Python部署示例
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在部署前，需确认以下步骤
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- 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../../docs/cn/build_and_install/sophgo.md)
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本目录下提供`infer_ppyoloe.py`,`infer_yolov8.py`和`infer_picodet.py`快速完成 PP-YOLOE ,PP-YOLOV8和 PicoDet 在SOPHGO TPU上部署的示例。执行如下脚本即可完成
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```bash
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# 下载部署示例代码
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/examples/vision/detection/paddledetection/sophgo/python
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# 下载图片
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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# 推理
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#ppyoloe推理示例
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python3 infer_ppyoloe.py --model_file model/ppyoloe_crn_s_300e_coco_1684x_f32.bmodel --config_file model/infer_cfg.yml --image ./000000014439.jpg
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#picodet推理示例
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python3 infer_picodet.py --model_file model/picodet_s_416_coco_lcnet_1684x_f32.bmodel --config_file model/infer_cfg.yml --image ./000000014439.jpg
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#yolov8推理示例
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python3 infer_yolov8.py --model_file model/yolov8s_s_300e_coco_1684x_f32.bmodel --config_file model/infer_cfg.yml --image ./000000014439.jpg
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# 运行完成后返回结果如下所示
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可视化结果存储在sophgo_result.jpg中
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```
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## 其它文档
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- [PP-YOLOE C++部署](../cpp)
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- [PicoDet C++部署](../cpp)
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- [YOLOV8 C++部署](../cpp)
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- [转换PicoDet SOPHGO模型文档](../README.md)
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- [转换PP-YOLOE SOPHGO模型文档](../README.md)
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- [转换YOLOV8 SOPHGO模型文档](../README.md)
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