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Collection of Docker images for ML/DL and video processing projects.

Overview of images

Three types of images differ by tag postfix:

base: Python with ML and CV packages, CUDA (11.2.1), cuDNN (8.1.0), FFmpeg (4.3) with NVENC support
pytorch: PyTorch (1.9.0a0+c2b9283), torchvision (0.8.2) and torch based libraries
tensor-stream: Tensor Stream

Example

Pull an image

docker pull ghcr.io/osai-ai/dokai:21.02-pytorch

Docker Hub mirror

docker pull osaiai/dokai:21.02-pytorch

Check available GPUs inside container

docker run --rm \
    --gpus=all \
    ghcr.io/osai-ai/dokai:21.02-pytorch \
    nvidia-smi

Example of using dokai image for DL pipeline you can find here.

Versions

base

dokai:20.09-base

ghcr.io/osai-ai/dokai:20.09-base

FFmpeg (release/4.3), nv-codec-headers (sdk/9.1)
Python (3.6.9)

pip==20.2.3
setuptools==50.3.0
packaging==20.4
numpy==1.19.2
opencv-python==4.4.0.42
scipy==1.5.2
matplotlib==3.3.2
pandas==1.1.2
notebook==6.1.4
scikit-learn==0.23.2
scikit-image==0.17.2
albumentations==0.4.6
Cython==0.29.21
Pillow==7.2.0
trafaret-config==2.0.2
pyzmq==19.0.2
librosa==0.8.0
psutil==5.7.2
dataclasses==0.7

dokai:20.10-base

ghcr.io/osai-ai/dokai:20.10-base

FFmpeg (release/4.3), nv-codec-headers (sdk/9.1)
Python (3.6.9)

pip==20.2.4
setuptools==50.3.2
packaging==20.4
numpy==1.19.2
opencv-python==4.4.0.44
scipy==1.5.3
matplotlib==3.3.2
pandas==1.1.3
notebook==6.1.4
scikit-learn==0.23.2
scikit-image==0.17.2
albumentations==0.5.0
Cython==0.29.21
Pillow==8.0.0
trafaret-config==2.0.2
pyzmq==19.0.2
librosa==0.8.0
psutil==5.7.2
dataclasses==0.7
pydantic==1.6.1
requests==2.24.0

dokai:20.12-base

ghcr.io/osai-ai/dokai:20.12-base

CUDA (11.1), cuDNN (8.0.5)
FFmpeg (release/4.3), nv-codec-headers (sdk/9.1)
Python (3.8.5)

pip==20.3.3
setuptools==51.0.0
packaging==20.8
numpy==1.19.4
opencv-python==4.4.0.46
scipy==1.5.4
matplotlib==3.3.3
pandas==1.1.5
notebook==6.1.5
scikit-learn==0.23.2
scikit-image==0.18.0
albumentations==0.5.2
Cython==0.29.21
Pillow==8.0.1
trafaret-config==2.0.2
pyzmq==20.0.0
librosa==0.8.0
psutil==5.8.0
pydantic==1.7.3
requests==2.25.1

dokai:21.01-base

ghcr.io/osai-ai/dokai:21.01-base

CUDA (11.1.1), cuDNN (8.0.5)
FFmpeg (release/4.3), nv-codec-headers (sdk/10.0)
Python (3.8.5)

pip==20.3.3
setuptools==51.3.3
packaging==20.8
numpy==1.19.5
opencv-python==4.5.1.48
scipy==1.6.0
matplotlib==3.3.3
pandas==1.2.0
notebook==6.2.0
scikit-learn==0.24.1
scikit-image==0.18.1
albumentations==0.5.2
Cython==0.29.21
Pillow==8.1.0
trafaret-config==2.0.2
pyzmq==21.0.1
librosa==0.8.0
psutil==5.8.0
pydantic==1.7.3
requests==2.25.1

dokai:21.02-base

ghcr.io/osai-ai/dokai:21.02-base

CUDA (11.2.1), cuDNN (8.1.0)
FFmpeg (release/4.3), nv-codec-headers (sdk/10.0)
Python (3.8.5)

pip==21.0.1
setuptools==53.0.0
packaging==20.9
numpy==1.20.1
opencv-python==4.5.1.48
scipy==1.6.1
matplotlib==3.3.4
pandas==1.2.2
scikit-learn==0.24.1
scikit-image==0.18.1
Pillow==8.1.0
librosa==0.8.0
albumentations==0.5.2
pyzmq==22.0.3
Cython==0.29.22
numba==0.52.0
requests==2.25.1
psutil==5.8.0
trafaret-config==2.0.2
pydantic==1.7.3
PyYAML==5.4.1
notebook==6.2.0
ipywidgets==7.6.3
tqdm==4.57.0
pytest==6.2.2
mypy==0.812
flake8==3.8.4

pytorch

dokai:20.09-pytorch

ghcr.io/osai-ai/dokai:20.09-pytorch

additionally to dokai:20.09-base:

torch==1.6.0
torchvision==0.7.0
pytorch-argus==0.1.2
timm==0.2.1
apex (master)

dokai:20.10-pytorch

ghcr.io/osai-ai/dokai:20.10-pytorch

additionally to dokai:20.10-base:

torch==1.6.0
torchvision==0.7.0
pytorch-argus==0.1.2
timm==0.2.1
apex (master)

dokai:20.12-pytorch

ghcr.io/osai-ai/dokai:20.12-pytorch

additionally to dokai:20.12-base:

torch==1.7.1 (source, v1.7.1 tag)
torchvision==0.8.2 (source, v0.8.2 tag)
pytorch-argus==0.2.0
timm==0.3.2
kornia==0.4.1
apex (source, master branch)

dokai:21.01-pytorch

ghcr.io/osai-ai/dokai:21.01-pytorch

additionally to dokai:21.01-base:

torch==1.8.0a0+4aea007 (source, master branch)
torchvision==0.8.2 (source, v0.8.2 tag)
pytorch-argus==0.2.0
timm==0.3.4
kornia==0.4.1
apex (source, master branch)

dokai:21.02-pytorch

ghcr.io/osai-ai/dokai:21.02-pytorch

additionally to dokai:21.02-base:

torch==1.9.0a0+c2b9283 (source, master branch)
torchvision==0.8.2 (source, v0.8.2 tag)
pytorch-argus==0.2.0
timm==0.4.4 (source, master branch)
kornia==0.4.1
pretrainedmodels==0.7.4
efficientnet-pytorch==0.7.0
segmentation-models-pytorch==0.1.3
apex (source, master branch)

tensor-stream

dokai:20.09-tensor-stream

ghcr.io/osai-ai/dokai:20.09-tensor-stream

additionally to dokai:20.09-pytorch:

tensor-stream==0.4.6 (dev)

dokai:20.10-tensor-stream

ghcr.io/osai-ai/dokai:20.10-tensor-stream

additionally to dokai:20.10-pytorch:

tensor-stream==0.4.6 (dev)

dokai:20.12-tensor-stream

ghcr.io/osai-ai/dokai:20.12-tensor-stream

additionally to dokai:20.12-pytorch:

tensor-stream==0.4.6 (source, dev branch)

dokai:21.01-tensor-stream

ghcr.io/osai-ai/dokai:21.01-tensor-stream

additionally to dokai:21.01-pytorch:

tensor-stream==0.4.6 (source, dev branch)

dokai:21.02-tensor-stream

ghcr.io/osai-ai/dokai:21.02-tensor-stream

additionally to dokai:21.02-pytorch:

tensor-stream==0.4.6 (source, dev branch)

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