how to generate new dataset for TF records

[netalkative]

I am trying "dpc" as a generator of point cloud for new category. To generate ground truth point clouds is obvious(dpc/densify/densify.py or chenhsuanlin/3D-point-cloud-generation's densify/densify.py).

But I cannot find a way of a new train/test/val dataset creation, especially sources of TF records. How do I prepare a train/test/val dataset to create TF records?

[eldar]

Hi @netalkative This is described in the instructions: https://github.com/eldar/differentiable-point-clouds/blob/master/README.md#prepare-training-data Please follow them carefully, there is a script that generated TF records out of the images.

[netalkative]

Thank you for replying, @eldar

I am afraid that "prepare-training-data" is not enough. "prepare-training-data" requires camera_?.mat , depth_?.png and render_?.png from <synth_set>-renders.tar.gz that you prepared in advance.

I want to know, how to create camera_?.mat , depth_?.png and render_?.png from my 3D model data. When you created <synth_set>-renders.tar.gz for airplane, car and chair, how did you? (i am worried about "dpc/data/splits/<synth_set>.file". which program creates it?)

Best Regards.

[Yueeey]

Hi @eldar

I'm afraid I have the similar questions. The numbers in the camera_.mat really confused me. Could you tell me the meanings of the extrinsic, K, pos, quat in the mat files? Thank you very much!