mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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e248781784
* 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 * Add NanoDet-Plus Model support Co-authored-by: Jason <jiangjiajun@baidu.com>
31 lines
1.0 KiB
Markdown
31 lines
1.0 KiB
Markdown
# 编译NanoDetPlus示例
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当前支持模型版本为：[NanoDetPlus v1.0.0-alpha-1](https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1)
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```
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# 下载和解压预测库
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wget https://bj.bcebos.com/paddle2onnx/fastdeploy/fastdeploy-linux-x64-0.0.3.tgz
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tar xvf fastdeploy-linux-x64-0.0.3.tgz
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# 编译示例代码
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mkdir build & cd build
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cmake ..
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make -j
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# 下载模型和图片
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wget https://github.com/RangiLyu/nanodet/releases/download/v1.0.0-alpha-1/nanodet-plus-m_320.onnx
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wget https://raw.githubusercontent.com/ultralytics/yolov5/master/data/images/bus.jpg
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# 执行
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./nanodet_plus_demo
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```
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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
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```
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DetectionResult: [xmin, ymin, xmax, ymax, score, label_id]
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5.710144,220.634033, 807.854370, 724.089111, 0.825635, 5
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45.646439,393.694061, 229.267044, 903.998413, 0.818263, 0
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218.289322,402.268829, 342.083252, 861.766479, 0.709301, 0
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698.587036,325.627197, 809.000000, 876.990967, 0.630235, 0
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```
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