How to train MSCOCO for comparison models.

[redorangeyellowy]

Hello. Thank you for your wonderful research.

In Table 5 of the main paper, you compared the result of training on not only InterHand2.6M but also MSCOCO for three comparison models (IHMR, Zhang et al, IntagHand).

However, MSCOCO seems to have no camera parameters unlike InterHand2.6M, so I wonder how you were able to train MSCOCO for the above three comparison models.

[mks0601]

3D pseudo-GTs from NeuralAnnot (one of my prev. works) provides MANO parameters along with camera parameters.

NeuralAnnot: https://github.com/mks0601/NeuralAnnot_RELEASE
Getting MANO from MSCOCO:

InterWild/data/MSCOCO/MSCOCO.py

Line 174 in 9d0e6ca

rmano_joint_img, rmano_joint_cam, rmano_joint_trunc, rmano_pose, rmano_shape, rmano_mesh_cam = process_human_model_output(mano_param['right']['mano_param'], mano_param['right']['cam_param'], do_flip, img_shape, img2bb_trans, rot)