3D-MiniNet
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Single point cloud Inference without dataloader
Nice Work! Can you provide a simple inference example where we can provide the input (point cloud) to the model without using dataloader?
As I see here proj_output = self.model([proj_in, proj_chan_group_points], proj_mask) we need three args for inferenc. it would be better to get them without dataloader (for example, processing live data from lidar sensor or from a bag)
Thanks