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fix: modify README.md
Signed-off-by: liu cui <cynthia.liu@autocore.ai>
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perception/autoware_tensorrt_bevdet/README.md

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@@ -52,19 +52,21 @@ The core algorithm, named `BEVDet`, it unifies multi-view images into the perspe
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Please refer to open source repository [ros2_dataset_bridge](https://github.com/Owen-Liuyuxuan/ros2_dataset_bridge) to publish the ROS 2 topics for NuScenes dataset.
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## Limitation
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The model is trained on open-source dataset `NuScenes` and has poor generalization on its own dataset, If you want to use this model to infer your data, you need to retrain it.
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## Trained Models
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You can download the onnx format of trained models by clicking on the links below.
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- BEVDet: [bevdet_one_lt_d.onnx](https://drive.google.com/file/d/1eMGJfdCVlDPBphBTjMcnIh3wdW7Q7WZB/view?usp=sharing)
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The model was trained in NuScenes database for 20 epochs.
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The `BEVDet` model was trained in `NuScenes` dataset for 20 epochs.
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## Limitation
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The model is trained on open-source dataset `NuScenes` and has poor generalization on its own dataset, If you want to use this model to infer your data, you need to retrain it.
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## Training BEVDet Model
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If you want to train model using the [TIER IV's internal database(~2600 key frames)](https://drive.google.com/file/d/1UaarK88HZu09sf7Ix-bEVl9zGNGFwTVL/view?usp=sharing), please refer to the following repositories:[BEVDet adapted to TIER IV dataset](https://github.com/cyn-liu/BEVDet/tree/train_export)
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If you want to train model using the [TIER IV's internal database(~2600 key frames)](https://drive.google.com/file/d/1UaarK88HZu09sf7Ix-bEVl9zGNGFwTVL/view?usp=sharing), please refer to the following repositories:[BEVDet adapted to TIER IV dataset](https://github.com/cyn-liu/BEVDet/tree/train_export).
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## References/External links
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