退购1.1定位算法

docker/Dockerfile-jetson

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+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Builds ultralytics/ultralytics:jetson image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
+# Supports JetPack for YOLOv8 on Jetson Nano, TX1/TX2, Xavier NX, AGX Xavier, AGX Orin, and Orin NX
+
+# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
+FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
+
+# 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' package
+RUN apt update \
+    && apt install --no-install-recommends -y gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++
+# 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/
+
+# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
+RUN python3 -m pip install --upgrade pip wheel
+RUN pip install --no-cache tqdm matplotlib pyyaml psutil thop pandas onnx "numpy==1.23"
+RUN pip install --no-cache -e .
+
+# Resolve duplicate OpenCV installation issues in https://github.com/ultralytics/ultralytics/issues/2407
+RUN apt-get remove `dpkg -l | grep opencv  | awk '{print $2}'`
+RUN pip uninstall -y opencv-python
+RUN rm /usr/local/lib/python3.8/dist-packages/cv2  # Optional
+RUN pip install "opencv-python<4.7"
+
+# Set environment variables
+ENV OMP_NUM_THREADS=1
+
+
+# Usage Examples -------------------------------------------------------------------------------------------------------
+
+# 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
+# t=ultralytics/ultralytics:jetson && sudo docker pull $t && sudo docker run -it --runtime=nvidia $t