65 lines
2.0 KiB
Docker
65 lines
2.0 KiB
Docker
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
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# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
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FROM nvcr.io/nvidia/pytorch:21.10-py3
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# Install linux packages
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RUN apt update && apt install -y zip htop screen libgl1-mesa-glx
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# Install python dependencies
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COPY requirements.txt .
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RUN python -m pip install --upgrade pip
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RUN pip uninstall -y torch torchvision torchtext
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RUN pip install --no-cache -r requirements.txt albumentations wandb gsutil notebook \
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torch==1.10.2+cu113 torchvision==0.11.3+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
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# RUN pip install --no-cache -U torch torchvision
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# Create working directory
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RUN mkdir -p /usr/src/app
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WORKDIR /usr/src/app
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# Copy contents
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COPY . /usr/src/app
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# Downloads to user config dir
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ADD https://ultralytics.com/assets/Arial.ttf /root/.config/Ultralytics/
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# Set environment variables
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# ENV HOME=/usr/src/app
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/yolov5:latest && sudo docker build -t $t . && sudo docker push $t
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# Pull and Run
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
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# Pull and Run with local directory access
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# t=ultralytics/yolov5:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t
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# Kill all
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# sudo docker kill $(sudo docker ps -q)
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# Kill all image-based
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# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/yolov5:latest)
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# Bash into running container
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# sudo docker exec -it 5a9b5863d93d bash
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# Bash into stopped container
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# id=$(sudo docker ps -qa) && sudo docker start $id && sudo docker exec -it $id bash
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# Clean up
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# docker system prune -a --volumes
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# Update Ubuntu drivers
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# https://www.maketecheasier.com/install-nvidia-drivers-ubuntu/
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# DDP test
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# python -m torch.distributed.run --nproc_per_node 2 --master_port 1 train.py --epochs 3
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# GCP VM from Image
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# docker.io/ultralytics/yolov5:latest
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