Add `Dockerfile-python` (#3814)

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Glenn Jocher 1 year ago committed by GitHub
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@ -33,5 +33,8 @@ RUN pip install --no-cache -e . thop
# Build and Push
# t=ultralytics/ultralytics:latest-arm64 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-arm64 -t $t . && sudo docker push $t
# Pull and Run
# Run
# t=ultralytics/ultralytics:latest-arm64 && sudo docker run -it --ipc=host $t
# Pull and Run with local volume mounted
# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t

@ -36,5 +36,8 @@ RUN pip install --no-cache -e . thop --extra-index-url https://download.pytorch.
# Build and Push
# t=ultralytics/ultralytics:latest-cpu && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
# Pull and Run
# Run
# t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host $t
# Pull and Run with local volume mounted
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t

@ -40,5 +40,8 @@ ENV OMP_NUM_THREADS=1
# Build and Push
# t=ultralytics/ultralytics:latest-jetson && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson -t $t . && sudo docker push $t
# Pull and Run
# Run
# t=ultralytics/ultralytics:latest-jetson && sudo docker run -it --ipc=host $t
# Pull and Run with local volume mounted
# t=ultralytics/ultralytics:jetson && sudo docker pull $t && sudo docker run -it --runtime=nvidia $t

@ -0,0 +1,48 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
# Use the official Python 3.10 slim-bookworm as base image
FROM python:3.10-slim-bookworm
# Downloads to user config dir
ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
# Install linux packages
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
RUN apt update \
&& apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
# RUN alias python=python3
# Create working directory
RUN mkdir -p /usr/src/ultralytics
WORKDIR /usr/src/ultralytics
# Copy contents
# COPY . /usr/src/app (issues as not a .git directory)
RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt /usr/src/ultralytics/
# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
# RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
# Install pip packages
RUN python3 -m pip install --upgrade pip wheel
RUN pip install --no-cache -e '.[export]' thop py-cpuinfo --extra-index-url https://download.pytorch.org/whl/cpu
# Run exports to AutoInstall packages
RUN yolo export format=edgetpu imgsz=32
RUN yolo export format=ncnn imgsz=32
# Requires <= Python 3.10, bug with paddlepaddle==2.5.0
RUN pip install --no-cache paddlepaddle==2.4.2 x2paddle
# Usage Examples -------------------------------------------------------------------------------------------------------
# Build and Push
# t=ultralytics/ultralytics:latest-python && sudo docker build -f docker/Dockerfile-python -t $t . && sudo docker push $t
# Run
# t=ultralytics/ultralytics:latest-python && sudo docker run -it --ipc=host $t
# Pull and Run with local volume mounted
# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
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