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Co-authored-by: Jason <jiangjiajun@baidu.com>
This commit is contained in:
huangjianhui
2022-08-18 21:24:29 +08:00
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parent 7a58d50299
commit eaa017fb09
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examples/vision/detection/paddledetection/cpp/README.md
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以Linux上推理为例，在本目录执行如下命令即可完成编译测试 以Linux上推理为例，在本目录执行如下命令即可完成编译测试
``` ```
以ppyoloe为例进行推理部署
#下载SDK，编译模型examples代码（SDK中包含了examples代码） #下载SDK，编译模型examples代码（SDK中包含了examples代码）
wget https://bj.bcebos.com/paddlehub/fastdeploy/libs/0.2.0/fastdeploy-linux-x64-gpu-0.2.0.tgz wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-0.2.0.tgz
tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz tar xvf fastdeploy-linux-x64-gpu-0.2.0.tgz
cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/detection/paddledetection cd fastdeploy-linux-x64-gpu-0.2.0/examples/vision/detection/paddledetection/cpp
mkdir build && cd build mkdir build && cd build
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0 cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/../../../../../../../fastdeploy-linux-x64-gpu-0.2.0
make -j make -j
# 下载PPYOLOE模型文件和测试图片 # 下载PPYOLOE模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/picodet_l_320_coco_lcnet.tgz wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000087038.jpg wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/000000014439.jpg
tar xvf picodet_l_320_coco_lcnet.tgz tar xvf ppyoloe_crn_l_300e_coco.tgz
# CPU推理 # CPU推理
./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 0 ./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 0
# GPU推理 # GPU推理
./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 1 ./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 1
# GPU上TensorRT推理 # GPU上TensorRT推理
./infer_ppyoloe_demo ./picodet_l_320_coco_lcnet 000000087038.jpg 2 ./infer_ppyoloe_demo ./ppyoloe_crn_l_300e_coco 000000014439.jpg 2
``` ```
## PaddleDetection C++接口 ## PaddleDetection C++接口

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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 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
``` ```
以ppyoloe为例进行推理部署
#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/vision/detection/paddledetection/python/ cd FastDeploy/examples/vision/detection/paddledetection/python/
#下载PPYOLOE模型文件和测试图片 #下载PPYOLOE模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz
@@ -19,11 +20,11 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
tar xvf ppyoloe_crn_l_300e_coco.tgz tar xvf ppyoloe_crn_l_300e_coco.tgz
# CPU推理 # CPU推理
python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device cpu python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device cpu
# GPU推理 # GPU推理
python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device gpu python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.jpg --device gpu
# GPU上使用TensorRT推理 （注意：TensorRT推理第一次运行，有序列化模型的操作，有一定耗时，需要耐心等待） # GPU上使用TensorRT推理 （注意：TensorRT推理第一次运行，有序列化模型的操作，有一定耗时，需要耐心等待）
python infer.py --model_dir ppyoloe_crn_l_300e_coco --image 000000087038.jpg --device gpu --use_trt True python infer_ppyoloe.py --model_dir ppyoloe_crn_l_300e_coco --image 000000014439.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