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本目录下提供`infer_xxx.py`快速完成PPYOLOE/PicoDet等模型在CPU/GPU,以及GPU上通过TensorRT加速部署的示例。执行如下脚本即可完成
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```
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#下载PPYOLOE模型文件和测试图片
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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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#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 examples/vision/detection/paddledetection/python/
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#下载PPYOLOE模型文件和测试图片
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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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# CPU推理
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python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device cpu
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# GPU推理
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