mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-06 17:17:14 +08:00

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DefTruth 89181042f5 Add yolox c++/pybind and model_zoo demo (#21 )

* update .gitignore

* Added checking for cmake include dir

* fixed missing trt_backend option bug when init from trt

* remove un-need data layout and add pre-check for dtype

* changed RGB2BRG to BGR2RGB in ppcls model

* add model_zoo yolov6 c++/python demo

* fixed CMakeLists.txt typos

* update yolov6 cpp/README.md

* add yolox c++/pybind and model_zoo demo

* move some helpers to private

* fixed CMakeLists.txt typos

* add normalize with alpha and beta

* add version notes for yolov5/yolov6/yolox

* add copyright to yolov5.cc

* revert normalize

* fixed some bugs in yolox

2022-07-19 09:55:07 +08:00

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编译YOLOv5示例

当前支持模型版本为：YOLOv5 v6.0

# 下载和解压预测库
wget https://bj.bcebos.com/paddle2onnx/fastdeploy/fastdeploy-linux-x64-0.0.3.tgz
tar xvf fastdeploy-linux-x64-0.0.3.tgz

# 编译示例代码
mkdir build & cd build
cmake ..
make -j

# 下载模型和图片
wget https://github.com/ultralytics/yolov5/releases/download/v6.0/yolov5s.onnx
wget https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/bus.jpg

# 执行
./yolov5_demo

执行完后可视化的结果保存在本地vis_result.jpg，同时会将检测框输出在终端，如下所示

DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]
223.395142,403.948669, 345.337189, 867.339050, 0.856906, 0
668.301758,400.781342, 808.441772, 882.534973, 0.829716, 0
50.210720,398.571411, 243.123367, 905.016602, 0.805375, 0
23.768242,214.979370, 802.627686, 778.840881, 0.756311, 5
0.737200,552.281006, 78.617218, 890.945007, 0.363471, 0

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编译YOLOv5示例

1.0 KiB

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