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I successfully generated tensorRT .engine model from sample PointPillars model from mmdetection3d and tested it with tools/test.py program.
Then I started writing inference code using tensorRT in c++ and I successfully loaded and deserialized generated .engine model with mmdeploy custom_ops.
My question is, how should I preprocess or rearrange pointcloud data in order to feed it to the model ? Is there any example of how you feed pointcloud data to lidar based object detection methods ?
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Greetings,
I successfully generated tensorRT .engine model from sample PointPillars model from mmdetection3d and tested it with tools/test.py program.
Then I started writing inference code using tensorRT in c++ and I successfully loaded and deserialized generated .engine model with mmdeploy custom_ops.
My question is, how should I preprocess or rearrange pointcloud data in order to feed it to the model ? Is there any example of how you feed pointcloud data to lidar based object detection methods ?
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