https://github.com/open-mmlab/mmocr/blob/main/docs/en/datasets/recog.md

I am getting error : Error response from daemon: unknown or invalid runtime name: nvidia

I did the configuration as required and when I run sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi

I am getting this output :

Sun Dec 24 09:53:47 2023       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.147.05   Driver Version: 525.147.05   CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| 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 GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A |
| N/A   45C    P8     4W /  50W |    163MiB /  4096MiB |     27%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|

This shows that docker is able to access nvidia GPU. So what is the issue here?

https://github.com/cs-chan/Total-Text-Dataset

Hey,

Thanks for making this app. Upon running 'docker compose up --build' there was an error the first time concerning opencv: 'ImportError: libGL.so.1: cannot open shared object file: No such file or directory '.

The solution to this bug in my case was to add 'RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y' between the lines 'WORKDIR /code' and 'COPY requirements.txt /code' in the Dockerfile of the Streamlit folder.

Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

Attention: please create a new virtual environment for OpenMMLab 2.0.

This step takes a very long time and I do not know why. How should I check what is causing this situation?

https://paperswithcode.com/sota/table-detection-on-icdar2013-1