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Docker download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (#10389)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: hdnh2006 <henry.matucv@gmail.com>
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Henry 2024-05-01 16:17:54 +02:00 • committed by GitHub
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2 changed files with 12 additions and 1 deletions
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4
docker/Dockerfile-jetson
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@ -28,8 +28,12 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt /u
# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image # Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
# Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime
RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567 # Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
RUN python3 -m pip install --upgrade pip wheel RUN python3 -m pip install --upgrade pip wheel
RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
RUN pip install --no-cache tqdm matplotlib pyyaml psutil pandas onnx RUN pip install --no-cache tqdm matplotlib pyyaml psutil pandas onnx
RUN pip install --no-cache -e ".[export]" RUN pip install --no-cache -e ".[export]"

9
ultralytics/utils/checks.py
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@ -419,7 +419,14 @@ def check_torchvision():
""" """
# Compatibility table # Compatibility table
compatibility_table = {"2.0": ["0.15"], "1.13": ["0.14"], "1.12": ["0.13"]} compatibility_table = {
"2.3": ["0.18"],
"2.2": ["0.17"],
"2.1": ["0.16"],
"2.0": ["0.15"],
"1.13": ["0.14"],
"1.12": ["0.13"],
}
# Extract only the major and minor versions # Extract only the major and minor versions
v_torch = ".".join(torch.__version__.split("+")[0].split(".")[:2]) v_torch = ".".join(torch.__version__.split("+")[0].split(".")[:2])