mirror of
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34bea7649d
* Add Sophgo Device add sophgo backend in fastdeploy add resnet50, yolov5s, liteseg examples. * replace sophgo lib with download links; fix model.cc bug * modify CodeStyle * remove unuseful files;change the names of sophgo device and sophgo backend * sophgo support python and add python examples * remove unuseful rows in cmake according pr Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>
30 lines
981 B
Markdown
30 lines
981 B
Markdown
# PaddleClas Python部署示例
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在部署前，需确认以下两个步骤
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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.py`快速完成 ResNet50_vd 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/classification/paddleclas/sophgo/python
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# 下载图片
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wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg
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# 推理
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python3 infer.py --model_file ./bmodel/resnet50_1684x_f32.bmodel --config_file ResNet50_vd_infer/inference_cls.yaml --image ILSVRC2012_val_00000010.jpeg
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# 运行完成后返回结果如下所示
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ClassifyResult(
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label_ids: 153,
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scores: 0.684570,
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)
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```
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## 其它文档
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- [ResNet50_vd C++部署](../cpp)
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- [转换ResNet50_vd SOPHGO模型文档](../README.md)
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