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Provide a means of exploring datasets before, during and after training (i.e. with ground truth labels and with predicted labels).
Maybe use the Open3d visualizer API? https://github.com/isl-org/Open3D-ML/blob/21951adc23831ee0597c4f49b47deb8f122fda07/examples/visualize.py
Other alternatives are writing to Tensorboard and writing files to the output directory in a ply or las format.
The text was updated successfully, but these errors were encountered:
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Provide a means of exploring datasets before, during and after training (i.e. with ground truth labels and with predicted labels).
Maybe use the Open3d visualizer API? https://github.com/isl-org/Open3D-ML/blob/21951adc23831ee0597c4f49b47deb8f122fda07/examples/visualize.py
Other alternatives are writing to Tensorboard and writing files to the output directory in a ply or las format.
The text was updated successfully, but these errors were encountered: