How are you doing Zindians , I am struggling to install mmcv in my google colab environment, its getting stuck at building wheels , i waited for an hour its still not proceeding
I find managing the dependencies when working with those open-mmlab libraries to be a nightmare. When I work with mmdetection (which requires mmcv, mmengine and mmpretrain) I usually have to downgrade torch. This is the setup that is currently working for me on kaggle. It takes about 5 to 10 min to install everything.
Installing the most recent versions of `pip` and `setuptools` now results in a conflict that causes the `mmdet` installation to fail on Kaggle. Replacing the line `%pip install -U pip setuptools wheel` with `%pip install pip==25.0.1 setuptools==79.0.0 wheel==0.45.1` fixes that issue. Installing everything takes < 4 minutes on Kaggle's T4 instances.
which version? I last installed 2.0.0 and it took around 15 to 30 min in kaggle
i am trying 2.0.0, i wiil try it on kaggle,Thanks alot
I find managing the dependencies when working with those open-mmlab libraries to be a nightmare. When I work with mmdetection (which requires mmcv, mmengine and mmpretrain) I usually have to downgrade torch. This is the setup that is currently working for me on kaggle. It takes about 5 to 10 min to install everything.
if not os.path.exists("./mmdetection"):I'm thinking of using mmdetection now. I'm getting tired with yolo😅. Thanks for the setup @stefan027
Installing the most recent versions of `pip` and `setuptools` now results in a conflict that causes the `mmdet` installation to fail on Kaggle. Replacing the line `%pip install -U pip setuptools wheel` with `%pip install pip==25.0.1 setuptools==79.0.0 wheel==0.45.1` fixes that issue. Installing everything takes < 4 minutes on Kaggle's T4 instances.