Incomplete installation instructions

[maartenvds]

Hi,

I'm trying to install this package using the requirements.txt file, but it seems the be incomplete. It is at least missing torch and torchvision.
I can install them manually, but I don't know what exact version works well with mmcv-full 1.3.8 and mmgen 0.5.0.

Could you please provide the used pytorch version and also the exact python version.

Thanks

[lizhihao6]

Hi, maartenvds

Pytorch 1.7.0 with Python 3.7 should be compatible and work well.

[maartenvds]

Hi lizhihao6,

The installation instructions I currently use are (based on mmgen installation instructions, your mmcv-full version, mmgen version and trial and error):

First pytorch

pip install torch==1.7.0 torchvision

Then mmcv-full

pip install mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.7.0/index.html

Then the other packages

pip install mmcls mmgen==0.5.0 matplotlib==3.5.1 rawpy

Installation completes without errors.

Then I run:

python inference.py --ckpt checkpoints/bdd100k_rgb_to_iphone_raw.pth --rgb resources/bdd100k.jpg

which gives:

File "/home/maarten/.virtualenvs/p37_rho_vision/lib/python3.7/site-packages/mmgen/datasets/pipelines/augmentation.py", line 4, in <module>
    from mmcls.datasets import PIPELINES as CLS_PIPELINE
  File "/home/maarten/.virtualenvs/p37_rho_vision/lib/python3.7/site-packages/mmcls/__init__.py", line 57, in <module>
    f'MMCV=={mmcv.__version__} is used but incompatible. ' \
AssertionError: MMCV==1.3.8 is used but incompatible. Please install mmcv>=1.3.16, <=1.5.0.

What happens here is that mmgen 0.5.0 requires mmcls 0.18.0, which in turn requires mmcv>=1.3.16, <=1.5.0. But you apparently using mmcv-full 1.3.8, so I'm not there yet.

This is quite the versioning nightmare. I got around it by installing mmcls 0.17.0, which seems to work but it gives pip dependency errors.

Could you, for the sake of easily reproducing your installation, do a pip freeze or something so I can get a hint on all of your package versions?

[XiaMu799]

Hi lizhihao6,

The installation instructions I currently use are (based on mmgen installation instructions, your mmcv-full version, mmgen version and trial and error):

First pytorch

pip install torch==1.7.0 torchvision

Then mmcv-full

pip install mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.7.0/index.html

Then the other packages

pip install mmcls mmgen==0.5.0 matplotlib==3.5.1 rawpy

Installation completes without errors.

Then I run:

python inference.py --ckpt checkpoints/bdd100k_rgb_to_iphone_raw.pth --rgb resources/bdd100k.jpg

which gives:

File "/home/maarten/.virtualenvs/p37_rho_vision/lib/python3.7/site-packages/mmgen/datasets/pipelines/augmentation.py", line 4, in <module>
    from mmcls.datasets import PIPELINES as CLS_PIPELINE
  File "/home/maarten/.virtualenvs/p37_rho_vision/lib/python3.7/site-packages/mmcls/__init__.py", line 57, in <module>
    f'MMCV=={mmcv.__version__} is used but incompatible. ' \
AssertionError: MMCV==1.3.8 is used but incompatible. Please install mmcv>=1.3.16, <=1.5.0.

What happens here is that mmgen 0.5.0 requires mmcls 0.18.0, which in turn requires mmcv>=1.3.16, <=1.5.0. But you apparently using mmcv-full 1.3.8, so I'm not there yet.

This is quite the versioning nightmare. I got around it by installing mmcls 0.17.0, which seems to work but it gives pip dependency errors.

Could you, for the sake of easily reproducing your installation, do a pip freeze or something so I can get a hint on all of your package versions?

Hello, have you ever run results using paired data sets? For example, MIT-Adobe FiveK dataset, the result of my running was not ideal

[maartenvds]

I finally managed to get it working correctly with:

python version 3.8

1. Install pytorch:

pip install torch==1.8.0 torchvision --index-url https://download.pytorch.org/whl/cu102

2. Install mmcv:

pip install mmcv-full==1.3.8 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html

3. Install the remaining requirements:

pip install mmcls mmgen==0.5.0 matplotlib==3.5.1 rawpy yapf==0.40.1

4. Dependency issue

Finally, to work around a runtime dependency issue, you need to:

pip install mmcls==0.17.0

This will create a pip dependency error, but you can ignore it.

[XiaMu799]

have you ever run results using paired data sets? For example, MIT-Adobe FiveK dataset, the result of my running was not ideal