Problems bash.sh uv

[DavidA2312]

To work with the rPPG-Toolbox, I followed the official README’s recommendation and chose to use WSL together with uv instead of conda. The goal is to use the pre-trained models.

I have taken the following steps so far:

1. git clone https://github.com/ubicomplab/rPPG-Toolbox.git
2. cd rPPG-Toolbox
3. curl -Ls https://astral.sh/uv/install.sh | bash
4. bash setup.sh uv

There were no errors in steps 1-3, everything ran smoothly.
From step 4 onwards, there are problems that continue to occur:

Following the error, I tried to reinstall torch as described in the error:
uv pip install torch (no errors)

To be on the safe side, I also tried the whole thing with conda, but the error occurs in the same place

Perhaps the problem can be solved easily

[yahskapar]

I think this is a bug related to the mamba setup (see #373), unfortunately, that I haven't had time to look into yet.

For time being before I look into this, can you build successfully if you comment out the mamba-related part of the setup file? For example with conda:

rPPG-Toolbox/setup.sh

Lines 20 to 21 in 09945e1

	cd tools/mamba || exit 1
	python setup.py install || exit 1

or with uv:

rPPG-Toolbox/setup.sh

Line 32 in 09945e1

cd tools/mamba && python setup.py install || exit 1

If you can build successfully after commenting that out, and you can also comment out this other line, you should be able to use the rest of the toolbox as is (aside from PhysMamba).

[DavidA2312]

error still there (uv & conda tried)

[yahskapar]

Strange, do you get the exact same error after commenting out what I mentioned above, including the line in the init file? Have you also tried (with a fresh conda environment, for example) installing torch first and then causal-conv1d using pip? I'd also try the --no-build-isolation flag mentioned in the error message you got.

Perhaps this has something to do with your particular compute environment - what GPU do you have? Have you been able to use other repos that require Torch + CUDA toolkit?

[DavidA2312]

Yes, I get the same error code in the same place using uv.

I have commented out the following things:

1. line 32 on setup.sh

2. line 9 in _init.py

uv version

Since I am not so familiar with uv, I will first get the whole thing running with conda

I have switched to a completely different PC to rule out the problem with the hardware. (again WSL)

GPU

I have again used the command: bash setup.sh conda as described in the README. (with the lines commented out)
I can definitely get on with this PC, but I still have the following errors:

(The whole error message as text under the description)

I also tried your suggestion to simply create a new environment and install torch and causal-conv1d.

The following steps:

1. conda create -n causal-test python=3.8 -y
2. conda activate causal-test
3. pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 (no errors, runs cleanly)
4. pip install causal-conv1d (here the same error occurs as with setup.sh)
   pip install causal-conv1d --no-build-isolation doesnt chang anything

Thanks for your help!

hole error message setup.sh

---

medlab@Medizintechnik-01:/mnt/c/Windows/System32/rPPG-Toolbox$ bash setup.sh conda
Setting up using conda...

Remove all packages in environment /home/medlab/miniconda3/envs/rppg-toolbox:

Package Plan

environment location: /home/medlab/miniconda3/envs/rppg-toolbox

The following packages will be REMOVED:

_libgcc_mutex-0.1-main
_openmp_mutex-5.1-1_gnu
ca-certificates-2025.2.25-h06a4308_0
ld_impl_linux-64-2.40-h12ee557_0
libffi-3.4.4-h6a678d5_1
libgcc-ng-11.2.0-h1234567_1
libgomp-11.2.0-h1234567_1
libstdcxx-ng-11.2.0-h1234567_1
ncurses-6.4-h6a678d5_0
openssl-3.0.16-h5eee18b_0
pip-24.2-py38h06a4308_0
python-3.8.20-he870216_0
readline-8.2-h5eee18b_0
setuptools-75.1.0-py38h06a4308_0
sqlite-3.45.3-h5eee18b_0
tk-8.6.14-h39e8969_0
wheel-0.44.0-py38h06a4308_0
xz-5.6.4-h5eee18b_1
zlib-1.2.13-h5eee18b_1

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Channels:

• defaults
  Platform: linux-64
  Collecting package metadata (repodata.json): done
  Solving environment: done

Package Plan

environment location: /home/medlab/miniconda3/envs/rppg-toolbox

added / updated specs:
- python=3.8

The following NEW packages will be INSTALLED:

_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main
_openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
ca-certificates pkgs/main/linux-64::ca-certificates-2025.2.25-h06a4308_0
ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0
libffi pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1
libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
ncurses pkgs/main/linux-64::ncurses-6.4-h6a678d5_0
openssl pkgs/main/linux-64::openssl-3.0.16-h5eee18b_0
pip pkgs/main/linux-64::pip-24.2-py38h06a4308_0
python pkgs/main/linux-64::python-3.8.20-he870216_0
readline pkgs/main/linux-64::readline-8.2-h5eee18b_0
setuptools pkgs/main/linux-64::setuptools-75.1.0-py38h06a4308_0
sqlite pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0
tk pkgs/main/linux-64::tk-8.6.14-h39e8969_0
wheel pkgs/main/linux-64::wheel-0.44.0-py38h06a4308_0
xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1
zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

To activate this environment, use

$ conda activate rppg-toolbox

To deactivate an active environment, use

$ conda deactivate

Looking in indexes: https://download.pytorch.org/whl/cu121
Collecting torch==2.1.2+cu121
Using cached https://download.pytorch.org/whl/cu121/torch-2.1.2%2Bcu121-cp38-cp38-linux_x86_64.whl (2200.7 MB)
Collecting torchvision==0.16.2+cu121
Using cached https://download.pytorch.org/whl/cu121/torchvision-0.16.2%2Bcu121-cp38-cp38-linux_x86_64.whl (6.9 MB)
Collecting torchaudio==2.1.2+cu121
Using cached https://download.pytorch.org/whl/cu121/torchaudio-2.1.2%2Bcu121-cp38-cp38-linux_x86_64.whl (3.3 MB)
Collecting filelock (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl.metadata (2.8 kB)
Collecting typing-extensions (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)
Collecting sympy (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/sympy-1.13.3-py3-none-any.whl.metadata (12 kB)
Collecting networkx (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/networkx-3.3-py3-none-any.whl.metadata (5.1 kB)
Collecting jinja2 (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/Jinja2-3.1.4-py3-none-any.whl.metadata (2.6 kB)
Collecting fsspec (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/fsspec-2024.6.1-py3-none-any.whl.metadata (11 kB)
Collecting triton==2.1.0 (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)
Collecting numpy (from torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
Collecting requests (from torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/requests-2.28.1-py3-none-any.whl (62 kB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/pillow-10.2.0-cp38-cp38-manylinux_2_28_x86_64.whl (4.5 MB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26 kB)
INFO: pip is looking at multiple versions of networkx to determine which version is compatible with other requirements. This could take a while.
Collecting networkx (from torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl (1.6 MB)
Using cached https://download.pytorch.org/whl/networkx-3.0-py3-none-any.whl (2.0 MB)
Collecting charset-normalizer<3,>=2 (from requests->torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Collecting idna<4,>=2.5 (from requests->torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/idna-3.4-py3-none-any.whl (61 kB)
Collecting urllib3<1.27,>=1.21.1 (from requests->torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/urllib3-1.26.13-py2.py3-none-any.whl (140 kB)
Collecting certifi>=2017.4.17 (from requests->torchvision==0.16.2+cu121)
Using cached https://download.pytorch.org/whl/certifi-2022.12.7-py3-none-any.whl (155 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy->torch==2.1.2+cu121)
Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
Using cached https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl (11 kB)
Using cached https://download.pytorch.org/whl/fsspec-2024.6.1-py3-none-any.whl (177 kB)
Using cached https://download.pytorch.org/whl/Jinja2-3.1.4-py3-none-any.whl (133 kB)
Using cached https://download.pytorch.org/whl/sympy-1.13.3-py3-none-any.whl (6.2 MB)
Using cached https://download.pytorch.org/whl/typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Installing collected packages: mpmath, urllib3, typing-extensions, sympy, pillow, numpy, networkx, MarkupSafe, idna, fsspec, filelock, charset-normalizer, certifi, triton, requests, jinja2, torch, torchvision, torchaudio
Successfully installed MarkupSafe-2.1.5 certifi-2022.12.7 charset-normalizer-2.1.1 filelock-3.13.1 fsspec-2024.6.1 idna-3.4 jinja2-3.1.4 mpmath-1.3.0 networkx-3.0 numpy-1.24.1 pillow-10.2.0 requests-2.28.1 sympy-1.13.3 torch-2.1.2+cu121 torchaudio-2.1.2+cu121 torchvision-0.16.2+cu121 triton-2.1.0 typing-extensions-4.12.2 urllib3-1.26.13
Collecting h5py==2.10.0 (from -r requirements.txt (line 1))
Using cached h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl.metadata (2.0 kB)
Collecting yacs==0.1.8 (from -r requirements.txt (line 2))
Using cached yacs-0.1.8-py3-none-any.whl.metadata (639 bytes)
Collecting scipy==1.5.2 (from -r requirements.txt (line 3))
Using cached scipy-1.5.2-cp38-cp38-manylinux1_x86_64.whl.metadata (2.0 kB)
Collecting pandas==1.1.5 (from -r requirements.txt (line 4))
Using cached pandas-1.1.5-cp38-cp38-manylinux1_x86_64.whl.metadata (4.7 kB)
Collecting scikit_image==0.17.2 (from -r requirements.txt (line 5))
Using cached scikit_image-0.17.2-cp38-cp38-manylinux1_x86_64.whl.metadata (7.5 kB)
Collecting numpy==1.22.0 (from -r requirements.txt (line 6))
Using cached numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.0 kB)
Collecting matplotlib==3.1.2 (from -r requirements.txt (line 7))
Using cached matplotlib-3.1.2-cp38-cp38-manylinux1_x86_64.whl.metadata (1.4 kB)
Collecting opencv_python==4.5.2.54 (from -r requirements.txt (line 8))
Using cached opencv_python-4.5.2.54-cp38-cp38-manylinux2014_x86_64.whl.metadata (17 kB)
Collecting PyYAML==6.0 (from -r requirements.txt (line 9))
Using cached PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl.metadata (2.0 kB)
Collecting scikit_learn==1.0.2 (from -r requirements.txt (line 10))
Using cached scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)
Collecting tensorboardX==2.4.1 (from -r requirements.txt (line 11))
Using cached tensorboardX-2.4.1-py2.py3-none-any.whl.metadata (5.1 kB)
Collecting tqdm==4.64.0 (from -r requirements.txt (line 12))
Using cached tqdm-4.64.0-py2.py3-none-any.whl.metadata (57 kB)
Collecting mat73==0.59 (from -r requirements.txt (line 13))
Using cached mat73-0.59-py3-none-any.whl.metadata (3.5 kB)
Collecting ipykernel==6.26.0 (from -r requirements.txt (line 14))
Using cached ipykernel-6.26.0-py3-none-any.whl.metadata (6.3 kB)
Collecting ipywidgets==8.1.1 (from -r requirements.txt (line 15))
Using cached ipywidgets-8.1.1-py3-none-any.whl.metadata (2.4 kB)
Collecting fsspec==2024.10.0 (from -r requirements.txt (line 16))
Using cached fsspec-2024.10.0-py3-none-any.whl.metadata (11 kB)
Collecting timm==1.0.11 (from -r requirements.txt (line 17))
Using cached timm-1.0.11-py3-none-any.whl.metadata (48 kB)
Collecting causal-conv1d==1.0.0 (from -r requirements.txt (line 18))
Using cached causal_conv1d-1.0.0.tar.gz (6.4 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [13 lines of output]
/tmp/pip-install-m3jk1nkk/causal-conv1d_b62be82b4fc24d04984a994fc0af6cea/setup.py:77: UserWarning: causal_conv1d was requested, but nvcc was not found. Are you sure your environment has nvcc available? If you're installing within a container from https://hub.docker.com/r/pytorch/pytorch, only images whose names contain 'devel' will provide nvcc.
warnings.warn(
Traceback (most recent call last):
File "", line 2, in
File "", line 34, in
File "/tmp/pip-install-m3jk1nkk/causal-conv1d_b62be82b4fc24d04984a994fc0af6cea/setup.py", line 111, in
if bare_metal_version >= Version("11.8"):
NameError: name 'bare_metal_version' is not defined

  torch.__version__  = 2.1.2+cu121


  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

[lruanova]

Hi. I ran into this same issue while trying to use the setup script with uv. In my case installing first torch related packages using PyTorch index and --index-strategy unsafe-best-match flag:

uv pip install \
        setuptools \
        wheel \
        torch==2.1.2+cu121 \
        torchvision==0.16.2+cu121 \
        torchaudio==2.1.2+cu121 \
        --extra-index-url https://download.pytorch.org/whl/cu121 \
        --index-strategy unsafe-best-match || exit 1

and then:

uv pip install \
        -r requirements.txt \
        PyQt5 \
        --no-build-isolation || exit 1

with --no-build-isolation to force packages to use already installed torch worked.
Also ensure you've nvcc installed: nvcc --version