ultralytics 8.2.42 NVIDIA TensorRT 10 default (#13943)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: DeepDiver <zhaoxu1015@gmail.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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10 changed files with 23 additions and 22 deletions
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@ -22,7 +22,7 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
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RUN conda config --set solver libmamba && \
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conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \
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conda install -c conda-forge ultralytics mkl
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# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=11.8 ultralytics mkl
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# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=12.1 ultralytics mkl
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# Usage Examples -------------------------------------------------------------------------------------------------------
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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)"/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:/usr/src/datasets $t
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