Closed AnudhinaDhanabalan closed 6 months ago
Hi, this assertion is raised here. The dataloader now can only accept 3 types of input foramt: COLMAP format with an 'sparse' subfolder, the NeRF Blender format with an transformstrain.json file, and IDR format with a 'cameras.npy' file. Please make sure to feed the right scene directory that contains the supported files. Hope this solves your problem.^^ I just see you mentioned you are using your own dataset. In case your dataset is in currently unsupported format, maybe you need to either transform your dataset into the supported formats, or write a custom dataloader to read your image and camera data.
yeah but my dataset directory has the "sparse" subfolder , eventhough it is showing the same error
solved the mistake ,thanks for replying !!
I have followed all the steps properly with my own dataset. But during the training I am getting the error saying Traceback (most recent call last): File "train.py", line 300, in
training(lp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations, args.checkpoint_iterations, args.start_checkpoint, args.debug_from)
File "train.py", line 39, in training
scene = Scene(dataset, gaussians, opt.camera_lr, shuffle=False, resolution_scales=[1, 2, 4])
File "/home/ghost/gaussian_surfels-main/scene/init.py", line 55, in init
assert False, "Could not recognize scene type!"
AssertionError: Could not recognize scene type!
-should I mention the path of the dataset anywhere in the code or how can I solve this error?