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本目录下提供`infer.py`快速完成YOLOX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 本目录下提供`infer.py`快速完成YOLOX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
``` ```
#下载YOLOX模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolox_s.onnx
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
#下载部署示例代码 #下载部署示例代码
git clone https://github.com/PaddlePaddle/FastDeploy.git git clone https://github.com/PaddlePaddle/FastDeploy.git
cd examples/vison/detection/yolox/python/ cd examples/vison/detection/yolox/python/
#下载YOLOX模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/yolox_s.onnx
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
# CPU推理 # CPU推理
python infer.py --model yolox_s.onnx --image 000000014439.jpg --device cpu python infer.py --model yolox_s.onnx --image 000000014439.jpg --device cpu
# GPU推理 # GPU推理
python infer.py --model yolox_s.onnx --image 000000014439.jpg --device gpu python infer.py --model yolox_s.onnx --image 000000014439.jpg --device gpu
# GPU上使用TensorRT推理 # GPU上使用TensorRT推理 (TensorRT在SDK中已包含，不需要单独下载)
python infer.py --model yolox_s.onnx --image 000000014439.jpg --device gpu --use_trt True python infer.py --model yolox_s.onnx --image 000000014439.jpg --device gpu --use_trt True
``` ```