is this library no longer maintained.

[sparshgarg23]

Is this the end of MMLAB,there is no new instance seg/detection model except the grounding DINO one
most issues are left unresolved ,certificate expired,adding suppot for newer libraries and higher res images.
I mean given the vast research in high res images now days you would think there would be some models or support for that.

[lauriebax]

Hey OpenMMLab community! 👋 We've updated 7 core repos (MMDetection, MMSegmentation, and others) to work with the latest PyTorch and made them production-ready for our AI platform.

We're committed to maintaining these repos going forward and encourage you to contribute features through pull requests.

Check them out if you need PyTorch compatibility: https://github.com/VBTI-development— feedback welcome!

[sparshgarg23]

@lauriebax 404 page not found

[lauriebax]

Oops, copy/paste error with the link. It should work now.

[sparshgarg23]

thanks does ondl work on current colab environment.right now i have to switch to python 3.11 to get torch 2.1

[lauriebax]

We've not tested it specifically, but the interface and imports have not changed. Instead of installing openmim you should use onedl-mim and then mim install onedl-mmdetection and the rest of the notebook should just work. We have adapted the notebook in our repo, but did not attach a colab space to it.

[sparshgarg23]

i tested it right now
on running the below commands
!pip install -U openmim
!mim install "mmengine>=0.7.0"
!mim install "mmcv>=2.0.0rc4"
I am getting the error invalid pk g ImpImporter error,which happens when you are on latest pytorch and python versions.

[lauriebax]

You have to use
!pip install -U onedl-mim
!mim install "onedl-mmengine>=0.7.0"
!mim install "onedl-mmcv>=2.0.0rc4"

Hopefully that will do the trick.

[sparshgarg23]

this is the error i am getting

Traceback (most recent call last):
  File "/usr/local/bin/mim", line 5, in <module>
    from mim.cli import cli
  File "/usr/local/lib/python3.12/dist-packages/mim/__init__.py", line 10, in <module>
    import setuptools  # noqa: F401
    ^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.12/dist-packages/setuptools/__init__.py", line 16, in <module>
    import setuptools.version
  File "/usr/local/lib/python3.12/dist-packages/setuptools/version.py", line 1, in <module>
    import pkg_resources
  File "/usr/local/lib/python3.12/dist-packages/pkg_resources/__init__.py", line 2172, in <module>
    register_finder(pkgutil.ImpImporter, find_on_path)
                    ^^^^^^^^^^^^^^^^^^^
AttributeError: module 'pkgutil' has no attribute 'ImpImporter'. Did you mean: 'zipimporter'?
/bin/bash: -c: line 1: unexpected EOF while looking for matching `"'
/bin/bash: -c: line 2: syntax error: unexpected end of file

i already faced this i think this is probably due to mmcv still not working properly on latest python versions,it can be solved when we downgrade python to 3.11.3 and torch to 2.1

[psantiago-lsbd]

Hello!

I am interested in testing your fork OpenDL-Detection, but I am having some errors.

Currently, I am using a Google Colab environment with an A100 GPU.

I set up the Colab environment to use Python 3.11.13.
I have installed the following version of Pytorch: !pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118

After that, I installed the following packages:

%pip install -U onedl-mim
!mim install "onedl-mmengine>=0.7.0"
!mim install "onedl-mmcv>=2.0.0rc4"

So I cloned the opendl-mmdetection repository and performed the installation:

!git clone https://github.com/vbti-development/onedl-mmdetection.git
%cd onedl-mmdetection
!pip install -v -e .

Finally, I tried running the demo to check if everything was correct:

!python demo/image_demo.py demo/demo.jpg \
    configs/rtmdet/rtmdet_l_8xb32-300e_coco.py \
    --weights checkpoints/rtmdet_l_8xb32-300e_coco_20220719_112030-5a0be7c4.pth \
    --device cuda

However, I received the following error.

Could not import OneDL
Traceback (most recent call last):
  File "/content/onedl-mmdetection/demo/image_demo.py", line 63, in <module>
    from mmdet.apis import DetInferencer
  File "/content/onedl-mmdetection/mmdet/apis/__init__.py", line 2, in <module>
    from .det_inferencer import DetInferencer
  File "/content/onedl-mmdetection/mmdet/apis/det_inferencer.py", line 22, in <module>
    from mmdet.evaluation import INSTANCE_OFFSET
  File "/content/onedl-mmdetection/mmdet/evaluation/__init__.py", line 4, in <module>
    from .metrics import *  # noqa: F401,F403
    ^^^^^^^^^^^^^^^^^^^^^^
  File "/content/onedl-mmdetection/mmdet/evaluation/metrics/__init__.py", line 5, in <module>
    from .coco_metric import CocoMetric
  File "/content/onedl-mmdetection/mmdet/evaluation/metrics/coco_metric.py", line 16, in <module>
    from mmdet.datasets.api_wrappers import COCO, COCOeval, COCOevalMP
  File "/content/onedl-mmdetection/mmdet/datasets/__init__.py", line 43, in <module>
    from .utils import get_loading_pipeline
  File "/content/onedl-mmdetection/mmdet/datasets/utils.py", line 5, in <module>
    from mmdet.datasets.transforms import LoadAnnotations, LoadPanopticAnnotations
  File "/content/onedl-mmdetection/mmdet/datasets/transforms/__init__.py", line 6, in <module>
    from .formatting import (ImageToTensor, PackDetInputs, PackReIDInputs,
  File "/content/onedl-mmdetection/mmdet/datasets/transforms/formatting.py", line 11, in <module>
    from mmdet.structures.bbox import BaseBoxes
  File "/content/onedl-mmdetection/mmdet/structures/bbox/__init__.py", line 2, in <module>
    from .base_boxes import BaseBoxes
  File "/content/onedl-mmdetection/mmdet/structures/bbox/base_boxes.py", line 9, in <module>
    from mmdet.structures.mask.structures import BitmapMasks, PolygonMasks
  File "/content/onedl-mmdetection/mmdet/structures/mask/__init__.py", line 3, in <module>
    from .structures import (BaseInstanceMasks, BitmapMasks, PolygonMasks,
  File "/content/onedl-mmdetection/mmdet/structures/mask/structures.py", line 12, in <module>
    from mmcv.ops.roi_align import roi_align
  File "/usr/local/lib/python3.11/dist-packages/mmcv/ops/__init__.py", line 3, in <module>
    from .active_rotated_filter import active_rotated_filter
  File "/usr/local/lib/python3.11/dist-packages/mmcv/ops/active_rotated_filter.py", line 10, in <module>
    ext_module = ext_loader.load_ext(
                 ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/dist-packages/mmcv/utils/ext_loader.py", line 13, in load_ext
    ext = importlib.import_module('mmcv.' + name)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'mmcv._ext'

[lauriebax]

@psantiago-lsbd that is because you are using a onedl-mmcv version without binaries. It doesn not have the extensions installed. You need to either 1. build onedl-mmcv yourself or 2. upgrade to pytorch 2.4 or 2.5 to use a prebuilt wheel (all available wheels can be found here).
If pytorch 2.1 is requested a lot we can add it to our prebuilt wheelhouse.

[lauriebax]

@sparshgarg23 I see it indeed does not work with python 3.12. I will look into it.

[adehad]

@lauriebax is there any support needed for this prebuilt wheelhouse?

In general I am having lots of reproducibility issues for myself and my team, I'm happy to offer help in:

1. Supporting the CI infrastructure to generate the wheel for the index?
2. Supporting the CI infrastructure to generate and publish Docker images that have all the dependencies ready
3. Supporting any PyPI index work, e.g. copying Sentry (uses https://github.com/chriskuehl/dumb-pypi) to make a public index

[lauriebax]

@adehad Cool.
We currently built a limited number of wheels for mmcv and publish them at https://mmwheels.onedl.ai/, is that what you mean with 3?

We are also setting up publishing docker images for MMDeploy. We are definitely open to publishing more docker images so if you could support by providing Dockerfiles and proposals on the CI side that would be amazing!