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yolo_object_tracking

Dependencies

  • Jetson TX2

  • JetPack 3.3

  • OpenCV

    Follow instructions in this link to install the correct version of OpenCV

  • ROS Kinetic

    Follow instructions in this link to install the ROS on Jetson TX2

  • Python dependencies sudo pip install numpy scipy Shapely

Setting up workspace

  1. Create ros workspace. Follow instructions in this tutoial. Call your workspace catkin_ws

  2. Navigate to catkin_ws/src

  3. Install ros packages jetson_csi_cam and gscam

  4. Clone the following repo

  5. Install dependencies rosdep install --from-paths ../src -i -y

  6. Navigate back to catkin_ws and run catkin_make

Running the Project

  1. Source workspace. source ~/catkin_ws/devel/setup.bash

  2. Enable maximum clock speed. This is done in the home directory ./jetson-clocks.sh

  3. Run launch file roslaunch yolo_object_tracking cameraN.launch N represents the Jetson number within the coordinate system.

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Real-time implementation of computer vision algorithms

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