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edgchen1
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Oct 14, 2024
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| The model used here is from source: [Yolov8 in extensions](https://github.com/microsoft/onnxruntime-extensions/blob/64f20828ce0291394886e277c23529cd1d11320d/tutorials/yolo_e2e.py#L37) and with pre/post processing support. | ||
| The default output model with onnxruntime-extension tools wouldn't include 'scaled_box_out_next' which is used in this example for displaying class-lable and confidence. One more step is required to get that. | ||
| Please Add a `Debug()` on top of [`onnxruntime-extensions/onnxruntime_extensions/tools/add_pre_post_processing_to_model.py:270`](https://github.com/microsoft/onnxruntime-extensions/blob/981cb049ff956a1c99ab178b36ffc83664a678f2/onnxruntime_extensions/tools/add_pre_post_processing_to_model.py#L270). |
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maybe show a diff to make the code change clear? this link points to a comment and the required change is not obvious to me. still good to have a link to the code though.
edgchen1
reviewed
Oct 14, 2024
| This is a basic Object Detection sample application for [ONNX Runtime](https://github.com/microsoft/onnxruntime) on Android with [Ort-Extensions](https://github.com/microsoft/onnxruntime-extensions) support for pre/post processing. The demo app accomplishes the task of detecting objects from a given image. | ||
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| The model used here is from source: [Yolov8 in extensions](https://github.com/microsoft/onnxruntime-extensions/blob/64f20828ce0291394886e277c23529cd1d11320d/tutorials/yolo_e2e.py#L37) and with pre/post processing support. | ||
| The default output model with onnxruntime-extension tools wouldn't include 'scaled_box_out_next' which is used in this example for displaying class-lable and confidence. One more step is required to get that. |
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Suggested change
| The default output model with onnxruntime-extension tools wouldn't include 'scaled_box_out_next' which is used in this example for displaying class-lable and confidence. One more step is required to get that. | |
| The default output model with onnxruntime-extension tools doesn't include 'scaled_box_out_next' which is used in this example for displaying class label and confidence. One more step is required to get that. |
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