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 After building the environment, refer to the following and convert the yolov8 sample model.

AI model convert tool: ONNX(PyTorch)

Here, the model converted file is explained as "yolov8s_cavalry.bin".

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How to build the sample app (C/C++)

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Info

This article describes how to build it as AdamApp.
If you want to build it as Container AdamApp for Azure IoT Edge, see below.

Development tutorial (Container AdamApp for Azure IoT Edge) - Technology Partner FAQ (En) - Confluence (atlassian.net)

Load the build environment settings file in the SDK installation directory.

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How to build the sample app (Python)

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Info

This article describes how to build it as AdamApp.
If you want to build it as Container AdamApp for Azure IoT Edge, see below.

Development tutorial (Container AdamApp for Azure IoT Edge) - Technology Partner FAQ (En) - Confluence (atlassian.net)

Place the model-converted yolov8s_cavalry.bin file in the sample app directory with the following configuration.

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