FileNotFoundError: [Errno 2] No such file or directory: '<path_to_lm_synthetic_folder>/000006/scene_gt.json'

[shqmffl486]

FileNotFoundError: [Errno 2] No such file or directory: '<path_to_lm_synthetic_folder>/000006/scene_gt.json'

I see the cfg.yaml. about line 7 // then how can i get lm_synthetic_folder?
Other data set paths are correct.!!

[BoChenYS]

You need to download that lm_synthetic dataset from the BOP website and point to the path where you store the downloaded dataset.

[Austin-Chi]

Hi, what is the required dataset for the training on lm dataset and testing on lmo dataset? There are many links under the LM-O section in BOP, including: Base archive / Object models / PBR-BlenderProc4BOP training images / PBR-MSR training images / Synt. training images of islated objects / All test images / BOP'19-24 test images. Which of these should I download and put the corresponding paths to the cfg.yaml?
Currently, I have downloaded the 'PBR-BlenderProc4BOP training images' and set both 'lm_folder' and 'lm_synthetic_folder' in the cfg.yaml to the 'PBR-BlenderProc4BOP training images'. However, the training images inside the folder are all in .jpg file, rather than .png file which is specified in your 'lm.py', so I am afraid that I use the wrong dataset. Also, even when I edit your code to read the .jpg images, there are still some failed assertions indicating that the bounding box has xmax<xmin.
Can you explicitly point to the dataset where I should download? Thanks for your great work.