You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
40 lines
1.8 KiB
40 lines
1.8 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license |
|
# Builds ultralytics/ultralytics:latest-conda image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics |
|
# Image is optimized for Ultralytics Anaconda (https://anaconda.org/conda-forge/ultralytics) installation and usage |
|
|
|
# Start FROM miniconda3 image https://hub.docker.com/r/continuumio/miniconda3 |
|
FROM continuumio/miniconda3:latest |
|
|
|
# Downloads to user config dir |
|
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \ |
|
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \ |
|
/root/.config/Ultralytics/ |
|
|
|
# Install linux packages |
|
RUN apt update \ |
|
&& apt install --no-install-recommends -y libgl1 |
|
|
|
# Copy contents |
|
ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt . |
|
|
|
# Install conda packages |
|
# mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory' |
|
RUN conda config --set solver libmamba && \ |
|
conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \ |
|
conda install -c conda-forge ultralytics mkl |
|
# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=12.1 ultralytics mkl |
|
|
|
|
|
# Usage Examples ------------------------------------------------------------------------------------------------------- |
|
|
|
# Build and Push |
|
# t=ultralytics/ultralytics:latest-conda && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t |
|
|
|
# Run |
|
# t=ultralytics/ultralytics:latest-conda && sudo docker run -it --ipc=host $t |
|
|
|
# Pull and Run |
|
# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host $t |
|
|
|
# Pull and Run with local volume mounted |
|
# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
|
|
|