I have created a synthetic dataset that follows lm format and its of a custom ply model (non-existent in BOP), how can I feed it to gdrnpp seemlessly? I checked the issues but cannot find the code for custom training of a data that follows lm format. Could you please provide some instructions?
(blenderproc) mona@ada:~/BlenderProc/examples/datasets/bop_challenge/output_data/bop_data$ ls lm
total 16K
drwxrwxr-x 3 mona mona 4.0K Jan 9 13:13 train_pbr
drwxrwxr-x 3 mona mona 4.0K Jan 9 13:13 ..
drwxrwxr-x 3 mona mona 4.0K Jan 9 13:13 .
-rw-rw-r-- 1 mona mona 166 Jan 9 13:29 camera.json
(blenderproc) mona@ada:~/BlenderProc/examples/datasets/bop_challenge/output_data/bop_data$ ls lm/train_pbr/000000/
total 2.4M
drwxrwxr-x 3 mona mona 4.0K Jan 9 13:13 ..
drwxrwxr-x 6 mona mona 4.0K Jan 9 13:14 .
drwxrwxr-x 2 mona mona 12K Jan 9 13:29 rgb
drwxrwxr-x 2 mona mona 12K Jan 9 13:29 depth
drwxrwxr-x 2 mona mona 12K Jan 9 13:29 mask
drwxrwxr-x 2 mona mona 12K Jan 9 13:29 mask_visib
-rw-rw-r-- 1 mona mona 80K Jan 9 13:29 scene_gt.json
-rw-rw-r-- 1 mona mona 111K Jan 9 13:29 scene_camera.json
-rw-rw-r-- 1 mona mona 51K Jan 9 13:29 scene_gt_info.json
-rw-rw-r-- 1 mona mona 2.1M Jan 9 13:29 scene_gt_coco.json
I have created a synthetic dataset that follows lm format and its of a custom ply model (non-existent in BOP), how can I feed it to gdrnpp seemlessly? I checked the issues but cannot find the code for custom training of a data that follows lm format. Could you please provide some instructions?