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Simplify Dockerfile WORKDIR (#14750)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-07-28 17:49:07 +02:00 • committed by GitHub
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commit 01977dac41
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8 changed files with 28 additions and 47 deletions
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11
docker/Dockerfile-jetson-jetpack4
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@ -5,9 +5,6 @@
# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-cuda
FROM nvcr.io/nvidia/l4t-cuda:10.2.460-runtime
# Set environment variables
ENV APP_HOME /usr/src/ultralytics
# 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 \
@ -27,12 +24,12 @@ RUN ln -sf /usr/bin/python3.8 /usr/bin/python3
RUN ln -s /usr/bin/pip3 /usr/bin/pip
# Create working directory
WORKDIR $APP_HOME
WORKDIR /ultralytics
# Copy contents and assign permissions
COPY . $APP_HOME
RUN chown -R root:root $APP_HOME
ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $APP_HOME
COPY . .
RUN chown -R root:root .
ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
# Download onnxruntime-gpu 1.8.0 and tensorrt 8.2.0.6
# Other versions can be seen in https://elinux.org/Jetson_Zoo and https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048