Roboflow-suggested Google Colab for YOLOv5-obb no longer works

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1

Have been using the Roboflow directions for Google Colab on YOLOv5-obb for a number of weeks, successfully. Today, I notice that this line is now failing:
!pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

It returns:
Looking in indexes: Simple index, …
Looking in links: … (have to remove the links to get this to post)
ERROR: Could not find a version that satisfies the requirement torch==1.10.1+cu113 (from versions: 1.11.0, 1.11.0+cu113, 1.12.0, 1.12.0+cu113, 1.12.1, 1.12.1+cu113, 1.13.0, 1.13.1, 2.0.0)
ERROR: No matching distribution found for torch==1.10.1+cu113

Any idea where to find a version of torch that satisfies the needed cuda requirement?

2

I had the same problem. As I understand it has to do with the google colab upgrade to python 3.10.
Use these commands to upgrade to older versions and it should work:
!sudo update-alternatives --config python3 #to select the version
!sudo apt install python3-pip #installs the selected version by default

3

I tried selection #2:
"There are 2 choices for the alternative python3 (providing /usr/bin/python3).

Selection Path Priority Status

  • 0 /usr/bin/python3.10 2 auto mode
    1 /usr/bin/python3.10 2 manual mode
    2 /usr/bin/python3.8 1 manual mode"

But, got this error during the “install requirements” step:
ERROR: google-auth 2.19.1 has requirement urllib3<2.0, but you’ll have urllib3 2.0.2 which is incompatible.
Installing collected packages: packaging, cycler, fonttools, kiwisolver, zipp, importlib-resources, six, python-dateutil, contourpy, pyparsing, matplotlib, opencv-python, PyYAML, charset-normalizer, certifi, urllib3, idna, requests, scipy, tqdm, importlib-metadata, markdown, pyasn1, pyasn1-modules, cachetools, rsa, google-auth, grpcio, absl-py, tensorboard-data-server, protobuf, oauthlib, requests-oauthlib, google-auth-oauthlib, MarkupSafe, werkzeug, tensorboard, pytz, tzdata, pandas, seaborn, thop
Successfully installed MarkupSafe-2.1.3 PyYAML-6.0 absl-py-1.4.0 cachetools-5.3.1 certifi-2023.5.7 charset-normalizer-3.1.0 contourpy-1.0.7 cycler-0.11.0 fonttools-4.39.4 google-auth-2.19.1 google-auth-oauthlib-1.0.0 grpcio-1.54.2 idna-3.4 importlib-metadata-6.6.0 importlib-resources-5.12.0 kiwisolver-1.4.4 markdown-3.4.3 matplotlib-3.7.1 oauthlib-3.2.2 opencv-python-4.7.0.72 packaging-23.1 pandas-2.0.2 protobuf-4.23.2 pyasn1-0.5.0 pyasn1-modules-0.3.0 pyparsing-3.0.9 python-dateutil-2.8.2 pytz-2023.3 requests-2.31.0 requests-oauthlib-1.3.1 rsa-4.9 scipy-1.10.1 seaborn-0.12.2 six-1.16.0 tensorboard-2.13.0 tensorboard-data-server-0.7.0 thop-0.1.1.post2209072238 tqdm-4.65.0 tzdata-2023.3 urllib3-2.0.2 werkzeug-2.3.4 zipp-3.15.0
WARNING: The following packages were previously imported in this runtime:
[cycler,dateutil,kiwisolver,matplotlib,mpl_toolkits,six]
You must restart the runtime in order to use newly installed versions.

Then, after the “!python setup.py develop” step, I got:
/content/yolov5_obb/utils/nms_rotated
running develop
running egg_info
writing nms_rotated.egg-info/PKG-INFO
writing dependency_links to nms_rotated.egg-info/dependency_links.txt
writing top-level names to nms_rotated.egg-info/top_level.txt
/usr/local/lib/python3.8/dist-packages/torch/utils/cpp_extension.py:381: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja… Falling back to using the slow distutils backend.
warnings.warn(msg.format(‘we could not find ninja.’))
reading manifest file ‘nms_rotated.egg-info/SOURCES.txt’
writing manifest file ‘nms_rotated.egg-info/SOURCES.txt’
running build_ext
Traceback (most recent call last):
File “setup.py”, line 38, in
setup(
File “/usr/lib/python3/dist-packages/setuptools/init.py”, line 144, in setup
return distutils.core.setup(**attrs)
File “/usr/lib/python3.8/distutils/core.py”, line 148, in setup
dist.run_commands()
File “/usr/lib/python3.8/distutils/dist.py”, line 966, in run_commands
self.run_command(cmd)
File “/usr/lib/python3.8/distutils/dist.py”, line 985, in run_command
cmd_obj.run()
File “/usr/lib/python3/dist-packages/setuptools/command/develop.py”, line 38, in run
self.install_for_development()
File “/usr/lib/python3/dist-packages/setuptools/command/develop.py”, line 140, in install_for_development
self.run_command(‘build_ext’)
File “/usr/lib/python3.8/distutils/cmd.py”, line 313, in run_command
self.distribution.run_command(command)
File “/usr/lib/python3.8/distutils/dist.py”, line 985, in run_command
cmd_obj.run()
File “/usr/lib/python3/dist-packages/setuptools/command/build_ext.py”, line 87, in run
_build_ext.run(self)
File “/usr/lib/python3.8/distutils/command/build_ext.py”, line 340, in run
self.build_extensions()
File “/usr/local/lib/python3.8/dist-packages/torch/utils/cpp_extension.py”, line 404, in build_extensions
self._check_cuda_version()
File “/usr/local/lib/python3.8/dist-packages/torch/utils/cpp_extension.py”, line 781, 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 (11.3). Please make sure to use the same CUDA versions.

Were you able to get around the above problems?

4

I looked back at an older Colab run and see that it used Python3.7, instead of Python 3.8. But, the choices offered by update-alternatives only went back as far as Python 3.8. I’ll look at ways to get an older version.