None of the scripts execute after installation as per the instructions. This issue is apparently due to mismatches in dependencies.

Upon first execution, I got : 'ModuleNotFoundError: No module named 'tensorboard''

After installing tensorboard via pip, I got: 'ModuleNotFoundError: No module named 'kornia''

After installing kornia via pip, I got: _op = torch._C.jit_get_operation(qualified_op_name) RuntimeError: No such operator image::read_file

Installed on Ubuntu 18.04 and 20.04 on a gcp cloud VM with a T4 GPU without success.

Could you please review that the installation instructions are accurate?

Thanks

Hi,

I get this error when I try to test the model: "_pickle.UnpicklingError: invalid load key, 'v'." I think it might have something to do with the model being uploaded to github, could you please upload it to google drive? @henzler

Thanks

OS: Linux GPU: Tesla K80 (Kepler)

When running test.py, the reconstructed render seems to come out fine, but the roughness and specular BRDF maps appear to be distorted. The normal map on this particular example seems to be correct, but a few others gave me pause. Running on CPU doesn't seem to make a difference.

After calling trainer.fit(model, data) on Win10:

(neuralmaterial) E:\projects\ThirdParty\neuralmaterial>python scripts\train.py Working directory : E:\projects\ThirdParty\neuralmaterial\trainings\Neuralmaterial [Data] 25000 train samples [Data] 25000 val samples [INFO] Checkpoint loaded. [INFO] Metadata loaded.

[Model] decoder | params: 2,778,214 encoder | params: 25,819,304 loss | params: 20,024,384 renderer | params: 0 rotation_encoder | params: 188 total params: 48,622,090

Epoch: 13 | train step: 0%| | 0/25000 [00:00<?, ?it/s]Traceback (most recent call last): File "", line 1, in File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\runpy.py", line 268, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\onepride\Anaconda3\envs\neuralmaterial2\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "E:\projects\ThirdParty\neuralmaterial\scripts\train.py", line 8, in from lib.core.trainer import Trainer ModuleNotFoundError: No module named 'lib.core'

Traceback (most recent call last): File "scripts/test.py", line 58, in image = tfm(io.read_image(image_dirs[0]))[None] File "/home/galem/anaconda3/envs/neuralmaterial/lib/python3.8/site-packages/torchvision/io/image.py", line 230, in read_image return decode_image(data) File "/home/galem/anaconda3/envs/neuralmaterial/lib/python3.8/site-packages/torchvision/io/image.py", line 211, in decode_image output = torch.ops.image.decode_image(input) RuntimeError: Unsupported image file. Only jpeg and png are currently supported.