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89181042f5
* 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
32 lines
1.0 KiB
Markdown
32 lines
1.0 KiB
Markdown
# 编译YOLOv6示例
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当前支持模型版本为：[YOLOv6 v0.1.0](https://github.com/meituan/YOLOv6/releases/download/0.1.0)
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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/meituan/YOLOv6/releases/download/0.1.0/yolov6s.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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./yolov6_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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11.772949,229.269287, 792.933838, 748.294189, 0.954794, 5
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667.140381,396.185455, 807.701721, 881.810120, 0.900997, 0
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223.271011,405.105743, 345.740723, 859.328552, 0.898938, 0
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50.135777,405.863129, 245.485519, 904.153809, 0.888936, 0
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0.000000,549.002869, 77.864723, 869.455017, 0.614145, 0
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```
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