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53 lines
2.0 KiB
Markdown
53 lines
2.0 KiB
Markdown
[English](README.md) | 中文
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# PaddleClas Python Example
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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/download_prebuilt_libraries.md)
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- 2. FastDeploy Python whl包安装，参考[FastDeploy Python安装](../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
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**注意** 本文档依赖FastDeploy>=1.0.2版本，或nightly built版本。
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```bash
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# Get FastDeploy codes
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git clone https://github.com/PaddlePaddle/FastDeploy.git
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cd FastDeploy/tutorials/intel_gpu/cpu
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mkdir build && cd build
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# Please the preparation step to get the download link
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wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
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tar xvf fastdeploy-linux-x64-x.x.x.tgz
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# Download PaddleClas model and test image
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wget https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz
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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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tar -xvf ResNet50_vd_infer.tgz
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cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
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make -j
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# Inference with CPU
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./infer_resnet50 -model ResNet50_vd_infer -image ILSVRC2012_val_00000010.jpeg -device cpu -topk 3
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# Inference with Intel GPU
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./infer_resnet50 -model ResNet50_vd_infer -image ILSVRC2012_val_00000010.jpeg -device intel_gpu -topk 3
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# Download PaddleDetection/PP-YOLOE model and test image
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wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
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wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
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tar xvf ppyoloe_crn_l_300e_coco.tgz
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# Inference with CPU
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./infer_ppyoloe -model ppyoloe_crn_l_300e_coco -image 000000014439.jpg -device cpu
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# Inference with Intel GPU
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./infer_ppyoloe -model ppyoloe_crn_l_300e_coco -image 000000014439.jpg -device intel_gpu
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```
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这篇文档展示的是如何在Linux/Mac上编译和运行，如果你是使用Windows系统，请参考下面的文档进行使用
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- [Windows上使用FastDeploy C++ SDK](../../../docs/cn/faq/use_sdk_on_windows.md)
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