English | [中文](README_CN.md) # PaddleClas Python Example Before deployment, confirm the following two steps - 1. The software and hardware environment meet the requirements. Refer to [FastDeploy Environment Requirements](../../../docs/en/build_and_install/download_prebuilt_libraries.md) - 2. Install FastDeploy Python wheel package. Refer to [Install FastDeploy](../../../docs/en/build_and_install/download_prebuilt_libraries.md) **Notice** This doc require FastDeploy version >= 1.0.2, or just use nightly built version. ```bash # Get FastDeploy codes git clone https://github.com/PaddlePaddle/FastDeploy.git cd FastDeploy/tutorials/intel_gpu/cpu mkdir build && cd build # Please the preparation step to get the download link wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz tar xvf fastdeploy-linux-x64-x.x.x.tgz # Download PaddleClas model and test image wget https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg tar -xvf ResNet50_vd_infer.tgz cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x make -j # Inference with CPU ./infer_resnet50 -model ResNet50_vd_infer -image ILSVRC2012_val_00000010.jpeg -device cpu -topk 3 # Inference with Intel GPU ./infer_resnet50 -model ResNet50_vd_infer -image ILSVRC2012_val_00000010.jpeg -device intel_gpu -topk 3 # Download PaddleDetection/PP-YOLOE model and test image wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg tar xvf ppyoloe_crn_l_300e_coco.tgz # Inference with CPU ./infer_ppyoloe -model ppyoloe_crn_l_300e_coco -image 000000014439.jpg -device cpu # Inference with Intel GPU ./infer_ppyoloe -model ppyoloe_crn_l_300e_coco -image 000000014439.jpg -device intel_gpu ``` This documents only shows how to compile on Linux/Mac, if you are using Windows, please refer the following documents - [How to use FastDeploy C++ SDK on Windows](../../../docs/en/faq/use_sdk_on_windows.md)