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@ -240,7 +240,7 @@ for index, bbox, label_id in zip(indices, bboxes, labels):
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cv2.imwrite('output_detection.png', img)
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```
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You can find more examples from [here](https://github.com/open-mmlab/mmdeploy/demo/python).
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You can find more examples from [here](https://github.com/open-mmlab/mmdeploy/tree/master/demo/python).
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```{note}
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If you build MMDeploy from the source, please add ${MMDEPLOY_DIR}/build/lib to the environment variable PYTHONPATH.
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@ -322,11 +322,11 @@ mmdeploy_load_dynamic(${YOUR_AWESOME_TARGET} MMDeployDynamicModules)
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target_link_libraries(${YOUR_AWESOME_TARGET} PRIVATE MMDeployLibs)
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```
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For more SDK C API usages, please read these [samples](https://github.com/open-mmlab/mmdeploy/demo/csrc).
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For more SDK C API usages, please read these [samples](https://github.com/open-mmlab/mmdeploy/tree/master/demo/csrc).
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#### C# API
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Due to limitations on space, we will not present a specific example. But you can find all of them [here](https://github.com/open-mmlab/mmdeploy/demo/csharp).
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Due to limitations on space, we will not present a specific example. But you can find all of them [here](https://github.com/open-mmlab/mmdeploy/tree/master/demo/csharp).
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## Evaluate Model
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@ -240,7 +240,7 @@ cv2.imwrite('output_detection.png', img)
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```
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更多模型的 SDK Python API 应用样例,请查阅[这里](https://github.com/open-mmlab/mmdeploy/demo/python)。
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更多模型的 SDK Python API 应用样例,请查阅[这里](https://github.com/open-mmlab/mmdeploy/tree/master/demo/python)。
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```{note}
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如果您使用源码安装方式, 请把 ${MMDEPLOY_DIR}/build/lib 加入到环境变量 PYTHONPATH 中。
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@ -323,11 +323,11 @@ target_link_libraries(${YOUR_AWESOME_TARGET} PRIVATE MMDeployLibs)
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```
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编译时,使用 -DMMDeploy_DIR,传入MMDeloyConfig.cmake所在的路径。它在预编译包中的sdk/lib/cmake/MMDeloy下。
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更多模型的 SDK C API 应用样例,请查阅[此处](https://github.com/open-mmlab/mmdeploy/demo/csrc)。
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更多模型的 SDK C API 应用样例,请查阅[此处](https://github.com/open-mmlab/mmdeploy/tree/master/demo/csrc)。
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#### C# API
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因篇幅所限,本文不展示具体案例。请参考[这里](https://github.com/open-mmlab/mmdeploy/demo/csharp),了解 SDK C# API 的用法。
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因篇幅所限,本文不展示具体案例。请参考[这里](https://github.com/open-mmlab/mmdeploy/tree/master/demo/csharp),了解 SDK C# API 的用法。
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## 模型精度评估
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