A problem on training

[mayBeYan]

PS D:\Project_3DGS\4DGaussians> python train.py -s data/multipleview/input
2024-07-11 18:25:33.076885: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. 2024-07-11 18:25:33.474622: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. Optimizing Output folder: ./output/ [11/07 18:25:34] feature_dim: 128 [11/07 18:25:34] Traceback (most recent call last): File "D:\Project_3DGS\4DGaussians\train.py", line 429, in training(lp.extract(args), hp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations, args.checkpoint_iterations, args.start_checkpoint, args.debug_from, args.expname) File "D:\Project_3DGS\4DGaussians\train.py", line 303, in training scene = Scene(dataset, gaussians, load_coarse=None) File "D:\Project_3DGS\4DGaussians\scene__init.py", line 62, in init scene_info = sceneLoadTypeCallbacks"MultipleView" File "D:\Project_3DGS\4DGaussians\scene\dataset_readers.py", line 603, in readMultipleViewinfos train_cam_infos = multipleview_dataset(cam_extrinsics=cam_extrinsics, cam_intrinsics=cam_intrinsics, cam_folder=datadir,split="train") File "D:\Project_3DGS\4DGaussians\scene\multipleview_dataset.py", line 20, in init__ self.focal = [cam_intrinsics[1].params[0], cam_intrinsics[1].params[0]] KeyError: 1

Excuse me , When training ,i got the error information above . I think it is the problem about the cam input ,but i could not find the reason,paticularly the meaning of "KeyError: 1". My input is like this ,could you help me solve this problem

[guanjunwu]

e, why your multiple view dataset only have one camera?

[crazyzyz]

Hi, I also encountered this problem. Have you solved it? How did you solve it