nicalab/reals

Robust and Efficient Image Alignment through Simultaneous Low Rank and Sparse Decomposition

reals's Issues

Add optional selection for cuda device

REALS/scripts/run_reals.py

Line 19 in 3459515

parser.add_argument('--device', type=str, default='cuda:0')

If making into a GUI, might be useful to select a specific GPU if using a second GPU for processing.

pytorch version incompatible with 3090 GPU

REALS/requirements.txt

Line 69 in 3459515

torch==1.8.1

When running python -m scripts.run_reals --type normal, I encounter the following warning: The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
If you want to use the NVIDIA GeForce RTX 3090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

As well as:
RuntimeError: CUDA error: no kernal image is available for the execution on the device.

Adding the suggestion of copying the installation notes from SUPPORT:
Install Pytorch with the version compatible with your OS and platform from https://pytorch.org/get-started/locally/

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

Running python -m scripts.run_reals --type normal correctly targets dedicated GPU for processing after performing the suggestion.

setuptools==52.0.0.post20210125 does not exist in PyPI

REALS/requirements.txt

Line 62 in 3459515

setuptools==52.0.0.post20210125

setuptools==52.0.0.post20210125 cannot be completed as this version doesn't exist in the PyPI repository. Likely a carryover from a previously yanked version 51.0.0.post20210125 that was misnamed.

Changing to 52.0.0 solves the error and doesn't throw and error when calling python -m script.run_reals --type normal

numpy version dependency conflict in requirements.txt

REALS/requirements.txt

Line 36 in 3459515

numpy==1.20.2

This version of numpy throws the following dependency conflict:
ERROR: Cannot install -r requirements.txt (line 20), -r requirements.txt (line 22), -r requirements.txt (line 28), -r requirements.txt (line 29), -r requirements.txt (line 30), -r requirements.txt (line 31) and numpy==1.20.2 because these package versions have conflicting dependencies.

The conflict is caused by:
The user requested numpy==1.20.2
h5py 3.3.0 depends on numpy>=1.17.5; python_version == "3.8"
imageio 2.9.0 depends on numpy
mat73 0.50 depends on numpy
matplotlib 3.4.2 depends on numpy>=1.16
mkl-fft 1.3.0 depends on numpy>=1.16
mkl-random 1.2.2 depends on numpy<1.23.0 and >=1.22.3

Changing to numpy==1.22.3 solves the issue without throwing an error calling python -m scripts.run_reals --type normal

I haven't examined outputs to confirm this and the setuptools change yet.