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leiqing
2022-08-18 19:46:42 +08:00
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本目录下提供`infer.py`快速完成MODNet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MODNet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modnet模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting.onnx
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_matting_input.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/matting/modnet/python/ cd examples/vision/matting/modnet/python/
#下载modnet模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/modnet_photographic_portrait_matting.onnx
wget https://raw.githubusercontent.com/DefTruth/lite.ai.toolkit/main/examples/lite/resources/test_lite_matting_input.jpg
# CPU推理 # CPU推理
python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device cpu python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device cpu
@@ -24,7 +22,6 @@ python infer.py --model modnet_photographic_portrait_matting.onnx --image test_l
python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device gpu python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device gpu
# GPU上使用TensorRT推理 # GPU上使用TensorRT推理
python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device gpu --use_trt True python infer.py --model modnet_photographic_portrait_matting.onnx --image test_lite_matting_input.jpg --device gpu --use_trt True
``` ```
运行完成可视化结果如下图所示 运行完成可视化结果如下图所示