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YOLOX示例

当前支持模型版本为：YOLOX v0.1.1

# 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/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.onnx
wget https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/bus.jpg

# 执行
./yolox_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]
17.151855,225.294434, 805.329712, 735.578613, 0.940478, 5
671.162109,387.403961, 809.000000, 879.525513, 0.909566, 0
54.373432,400.188110, 204.652756, 893.662537, 0.894507, 0
221.339310,406.614960, 347.045593, 857.299927, 0.887144, 0
0.083759,554.987305, 61.894527, 881.098816, 0.450202, 0

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编译YOLOX示例

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