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* Adjust folders structures in paddleclas * remove useless files * Update sophgo * improve readme
40 lines
1.6 KiB
Markdown
40 lines
1.6 KiB
Markdown
# PaddleClas Python部署示例
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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.
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## 1. 部署环境准备
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在部署前，需自行编译基于算能硬件的FastDeploy python wheel包并安装，参考文档[算能硬件部署环境](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/build_and_install#算能硬件部署环境)
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## 2.运行部署示例
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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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# 如果您希望从PaddleClas下载示例代码，请运行
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git clone https://github.com/PaddlePaddle/PaddleClas.git
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# 注意：如果当前分支找不到下面的fastdeploy测试代码，请切换到develop分支
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git checkout develop
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cd PaddleClas/deploy/fastdeploy/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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# 推理转换好的模型
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# 手动设置推理使用的模型、配置文件和图片路径
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python3 infer.py --auto False --model_file ./bmodel/resnet50_1684x_f32.bmodel --config_file ResNet50_vd_infer/inference_cls.yaml --image ILSVRC2012_val_00000010.jpeg
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# 自动完成下载数据-模型编译-推理，不需要设置模型、配置文件和图片路径
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python3 infer.py --auto True --model '' --config_file '' --image ''
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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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## 4. 其它文档
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- [ResNet50_vd C++部署](../python)
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- [转换ResNet50_vd SOPHGO模型文档](../README.md)
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