Closed savidini closed 7 months ago
@savidini
I followed your repo and still the prepare.sh failed.
(sam6d) mona@ada:/data/savidini/SAM-6D/SAM-6D$ sh prepare.sh
running install
/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` directly.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
********************************************************************************
!!
self.initialize_options()
/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/cmd.py:66: EasyInstallDeprecationWarning: easy_install command is deprecated.
!!
********************************************************************************
Please avoid running ``setup.py`` and ``easy_install``.
Instead, use pypa/build, pypa/installer or other
standards-based tools.
See https://github.com/pypa/setuptools/issues/917 for details.
********************************************************************************
!!
self.initialize_options()
running bdist_egg
running egg_info
creating pointnet2.egg-info
writing pointnet2.egg-info/PKG-INFO
writing dependency_links to pointnet2.egg-info/dependency_links.txt
writing top-level names to pointnet2.egg-info/top_level.txt
writing manifest file 'pointnet2.egg-info/SOURCES.txt'
reading manifest file 'pointnet2.egg-info/SOURCES.txt'
writing manifest file 'pointnet2.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_ext
Traceback (most recent call last):
File "/data/savidini/SAM-6D/SAM-6D/Pose_Estimation_Model/model/pointnet2/setup.py", line 16, in <module>
setup(
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/__init__.py", line 104, in setup
return distutils.core.setup(**attrs)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/core.py", line 184, in setup
return run_commands(dist)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/core.py", line 200, in run_commands
dist.run_commands()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 969, in run_commands
self.run_command(cmd)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/dist.py", line 967, in run_command
super().run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/install.py", line 87, in run
self.do_egg_install()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/install.py", line 139, in do_egg_install
self.run_command('bdist_egg')
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 316, in run_command
self.distribution.run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/dist.py", line 967, in run_command
super().run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/bdist_egg.py", line 167, in run
cmd = self.call_command('install_lib', warn_dir=0)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/bdist_egg.py", line 153, in call_command
self.run_command(cmdname)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 316, in run_command
self.distribution.run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/dist.py", line 967, in run_command
super().run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/install_lib.py", line 11, in run
self.build()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/command/install_lib.py", line 110, in build
self.run_command('build_ext')
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 316, in run_command
self.distribution.run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/dist.py", line 967, in run_command
super().run_command(command)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 988, in run_command
cmd_obj.run()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/command/build_ext.py", line 91, in run
_build_ext.run(self)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/setuptools/_distutils/command/build_ext.py", line 359, in run
self.build_extensions()
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/torch/utils/cpp_extension.py", line 523, in build_extensions
_check_cuda_version(compiler_name, compiler_version)
File "/home/mona/anaconda3/envs/sam6d/lib/python3.9/site-packages/torch/utils/cpp_extension.py", line 414, in _check_cuda_version
raise RuntimeError(CUDA_MISMATCH_MESSAGE.format(cuda_str_version, torch.version.cuda))
RuntimeError:
The detected CUDA version (11.8) mismatches the version that was used to compile
PyTorch (12.1). Please make sure to use the same CUDA versions.
(sam6d) mona@ada:/data/savidini/SAM-6D/SAM-6D$ nvidia-smi
Wed Apr 17 14:53:26 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.104.12 Driver Version: 535.104.12 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX 6000 Ada Gene... On | 00000000:52:00.0 On | Off |
| 30% 42C P3 51W / 300W | 1331MiB / 49140MiB | 4% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 4197 G /usr/lib/xorg/Xorg 501MiB |
| 0 N/A N/A 4350 G /usr/bin/gnome-shell 42MiB |
| 0 N/A N/A 4835 G ...AAAAAAAACAAAAAAAAAA= --shared-files 56MiB |
| 0 N/A N/A 5008 G ...ures=SpareRendererForSitePerProcess 122MiB |
| 0 N/A N/A 5683 G ...irefox/4090/usr/lib/firefox/firefox 395MiB |
| 0 N/A N/A 34019 G ...sion,SpareRendererForSitePerProcess 129MiB |
| 0 N/A N/A 49250 G ...6559462,13394386653006582258,262144 46MiB |
+---------------------------------------------------------------------------------------+
(sam6d) mona@ada:/data/savidini/SAM-6D/SAM-6D$ git log
commit 9d6cd3159740da1b659a961828353ba939feebff (HEAD -> main, origin/main, origin/HEAD)
Author: David Wendorff <42057206+savidini@users.noreply.github.com>
Date: Tue Mar 26 10:46:18 2024 +0100
Update README.md, dependencies and scripts
Update README.md to make SAM-6D more accessible. Many version upgrade in conda environment file. Minor changes to prepare.sh and demo.sh script to avoid possible errors.
commit fca43b6aa9effa8b6aea59a5cf8bf91014cfa558
Author: Jiehong <mortimer.jh.lin@gmail.com>
Date: Thu Mar 7 15:16:30 2024 +0800
Update README.md
Could you please suggest a fix?
also regarding 2, you may find my answer here useful https://blender.stackexchange.com/a/306270/96194
(blenderproc) mona@ada:~/BlenderProc$ blenderproc quickstart --custom-blender-path ~/Downloads/blender-3.5.1-linux-x64
(blenderproc) mona@ada:~/BlenderProc$ blenderproc run ./blenderproc/scripts/quickstart.py --custom-blender-path ~/Downloads/blender-3.5.1-linux-x64
@monajalal
The detected CUDA version (11.8) mismatches the version that was used to compile
PyTorch (12.1). Please make sure to use the same CUDA versions.
I am a bit confused by your error message, as neither version of CUDA should be installed or used.
Can you please check if these are pointing to your sam6d environment:
conda activate sam6d
which python
which pip
which nvcc
I suspect that there may be a misconfiguration that is causing the wrong packages to be used. If this is the case, please check echo $PATH
.
Also, the following output would be helpful for further debugging.
conda activate sam6d
conda info
conda list
I have tested the updated environment.yml
on several different systems without problems, but it may need some improvements.
I would appreciate your feedback.
@monajalal
I also used to get this message when compiling PointNet:
The detected CUDA version (11.8) mismatches the version that was used to compile
PyTorch (12.1). Please make sure to use the same CUDA versions.
The reason why this occurs is that torch==2.2.1
is compiled by default for CUDA 12.1, and your nvcc
is pointing towards your CUDA 11.8 installation. In theory, @savidini updated environment.yaml
installs cuda=12.0
which solves this issue, but in my machine, I still continue getting the error you get (at least for this fork at 9d6cd31)
To fix this I had to manually obtain CUDA 12.1 from NVIDIA’s CUDA website and run the file script via sudo sh cuda_12.1.0_530.30.02_linux.run
. Make sure to remember where you install the cuda tool kit. Once you have installed it, you need to point nvcc
to this toolkit. To do so export the following env variables to point to the directory where you installed the CUDA 12.1:
export CUDA_HOME=/home/YOUR_USER/PATH_CUDA_YOU_INSTALLED/cuda-12.1/
export PATH=/home/YOUR_USER/PATH_CUDA_YOU_INSTALLED/cuda-12.1/bin:$PATH
export LD_LIBRARY_PATH=/home/YOUR_USER/PATH_CUDA_YOU_INSTALLED/cuda-12.1/lib64:$LD_LIBRARY_PATH
If you then run nvcc --version
you should see it's version 12.1
.
Once this is set, you should be able to compile PointNet without the pytorch version conflict you saw before
Alternatively, if you don't want to manually install CUDA 12.1, something that also worked for me was to use the original repo from @JiehongLin which uses torch==2.0.0
. This version of torch was compiled using CUDA 11.7 and thus you can install this CUDA version by directly specifying cudatoolkit-dev=11.7
on the conda environmnent.yaml
file. Like this:
NOTE: I also changed the blenderproc==2.7.0
so that it doesn't fail when downloading blender.
Once the conda environment is created and activated, conda takes care of appending to the env variables the path to the cudatoolkit-dev=11.7 and you shouldn't have issues when compiling PointNet.
First of all, I would like to take this opportunity to thank the authors for the great work and congratulate them on the acceptance of the paper for CVPR 2024. 🥳
This PR fixes several minor issues with the goal of making the SAM-6D code more accessible:
1. Changes in README.MD
$PWD
when exporting: See #332. Updated environment.yml
3. Changes in prepare.sh and demo.sh
conda create
andconda activate
from script and instead included in README.MD: As this is on some systems, see conda/conda#7980&&
) in both scripts to ensure that code only continues of previous commands executed successfully: This resulted in confusing error traces and should avoid issues, e.g. #19Disclaimer: I have tested the changes on several local machines and cloud servers. However only for running inference and not for training the PEM, as described in Pose Estimation Model (PEM) for SAM-6D.
Best regards!