Simplify Dockerfile WORKDIR (#14750)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Glenn Jocher
GitHub
parent
f8454f1ab7
commit
01977dac41
8 changed files with 28 additions and 47 deletions
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@ -6,7 +6,6 @@
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FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Avoid DDP error "MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library" https://github.com/pytorch/pytorch/issues/37377
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ENV MKL_THREADING_LAYER=GNU
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@ -26,12 +25,12 @@ RUN apt update \
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RUN apt upgrade --no-install-recommends -y openssl tar
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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COPY . .
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RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Install pip packages
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RUN python3 -m pip install --upgrade pip wheel
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@ -62,7 +61,7 @@ RUN rm -rf tmp
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# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus '"device=2,3"' $t
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# Pull and Run with local directory access
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# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
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# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/shared/datasets:/datasets $t
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# Kill all
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# sudo docker kill $(sudo docker ps -q)
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@ -6,9 +6,6 @@
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# Start FROM Debian image for arm64v8 https://hub.docker.com/r/arm64v8/debian (new)
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FROM arm64v8/debian:bookworm-slim
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -21,12 +18,12 @@ RUN apt update \
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&& apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop gcc libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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COPY . .
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RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Remove python3.11/EXTERNALLY-MANAGED to avoid 'externally-managed-environment' issue, Debian 12 Bookworm error
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RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
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@ -51,4 +48,4 @@ RUN ln -sf /usr/bin/python3 /usr/bin/python
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
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# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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@ -37,4 +37,4 @@ RUN conda config --set solver libmamba && \
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# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
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# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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@ -5,9 +5,6 @@
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# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
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FROM ubuntu:23.10
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -19,12 +16,12 @@ RUN apt update \
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&& apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents (previously used git clone to avoid permission errors)
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COPY . $APP_HOME
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COPY . .
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RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
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RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
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@ -57,4 +54,4 @@ RUN ln -sf /usr/bin/python3 /usr/bin/python
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host --name NAME $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
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# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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@ -5,9 +5,6 @@
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda
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FROM nvcr.io/nvidia/l4t-cuda:10.2.460-runtime
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -27,12 +24,12 @@ RUN ln -sf /usr/bin/python3.8 /usr/bin/python3
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RUN ln -s /usr/bin/pip3 /usr/bin/pip
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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RUN chown -R root:root $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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COPY . .
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RUN chown -R root:root .
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6
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# Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
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@ -5,9 +5,6 @@
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
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FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -21,12 +18,12 @@ RUN apt update \
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&& apt install --no-install-recommends -y gcc git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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COPY . .
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RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
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RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
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@ -5,9 +5,6 @@
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# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-jetpack
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FROM nvcr.io/nvidia/l4t-jetpack:r36.3.0
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -18,12 +15,12 @@ RUN apt update && \
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apt install --no-install-recommends -y git python3-pip libopenmpi-dev libopenblas-base libomp-dev
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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RUN chown -R root:root $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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COPY . .
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RUN chown -R root:root .
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Download onnxruntime-gpu 1.18.0 from https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
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ADD https://nvidia.box.com/shared/static/48dtuob7meiw6ebgfsfqakc9vse62sg4.whl onnxruntime_gpu-1.18.0-cp310-cp310-linux_aarch64.whl
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@ -5,9 +5,6 @@
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# Use the official Python 3.10 slim-bookworm as base image
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FROM python:3.10-slim-bookworm
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# Set environment variables
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ENV APP_HOME /usr/src/ultralytics
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# Downloads to user config dir
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ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
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https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
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@ -19,12 +16,12 @@ RUN apt update \
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&& apt install --no-install-recommends -y python3-pip git zip unzip wget curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
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# Create working directory
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WORKDIR $APP_HOME
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WORKDIR /ultralytics
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# Copy contents and assign permissions
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COPY . $APP_HOME
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COPY . .
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RUN git remote set-url origin https://github.com/ultralytics/ultralytics.git
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
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ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
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# RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
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@ -54,4 +51,4 @@ RUN rm -rf tmp
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# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host $t
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# Pull and Run with local volume mounted
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# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/usr/src/datasets $t
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# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/shared/datasets:/datasets $t
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