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37 lines
1.6 KiB
Markdown
37 lines
1.6 KiB
Markdown
[English](README.md) | 简体中文
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# PaddleSeg Python部署示例
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本目录下提供`infer.py`快速完成PP-LiteSeg在华为昇腾上部署的示例。
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## 华为昇腾NPU编译FastDeploy wheel包环境准备
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在部署前，需自行编译基于华为昇腾NPU的FastDeploy python wheel包并安装，参考文档[华为昇腾NPU部署环境编译](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/build_and_install#自行编译安装)
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>>**注意** **PP-Matting**、**PP-HumanMatting**的模型，请从[Matting模型部署](../../../ppmatting)下载
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```bash
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#下载部署示例代码
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cd path/to/paddleseg/ascend/cpp
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# 下载PP-LiteSeg模型文件和测试图片
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wget https://bj.bcebos.com/paddlehub/fastdeploy/PP_LiteSeg_B_STDC2_cityscapes_without_argmax_infer.tgz
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tar -xvf PP_LiteSeg_B_STDC2_cityscapes_without_argmax_infer.tgz
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wget https://paddleseg.bj.bcebos.com/dygraph/demo/cityscapes_demo.png
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# 华为昇腾推理
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python infer.py --model PP_LiteSeg_B_STDC2_cityscapes_without_argmax_infer --image cityscapes_demo.png
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```
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运行完成可视化结果如下图所示
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<div align="center">
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<img src="https://user-images.githubusercontent.com/16222477/191712880-91ae128d-247a-43e0-b1e3-cafae78431e0.jpg", width=512px, height=256px />
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</div>
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## 快速链接
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- [PaddleSeg python API文档](https://www.paddlepaddle.org.cn/fastdeploy-api-doc/python/html/semantic_segmentation.html)
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- [FastDeploy部署PaddleSeg模型概览](..)
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- [PaddleSeg C++部署](../cpp)
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## 常见问题
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- [如何将模型预测结果SegmentationResult转为numpy格式](https://github.com/PaddlePaddle/FastDeploy/blob/develop/docs/cn/faq/vision_result_related_problems.md)
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