deploy a yolov2 net on a raspberry pi in matlab

To deploy a YOLOv2 network on a Raspberry Pi using MATLAB, the following steps can be followed:

1. Configure the Raspberry Pi:

   a. Install the latest version of Raspbian from the official Raspberry Pi website.

   b. Make sure OpenSSH, screen, and vim editors are installed on the Raspberry Pi.

   c. Connect the Raspberry Pi to the same network as the development computer.

   d. Find the IP address of the Raspberry Pi.

2. Prepare the YOLOv2 network:

   a. Load the pre-trained YOLOv2 network in MATLAB.

   b. Convert the network to a format that can be deployed on the Raspberry Pi using MATLAB Coder.

   c. Generate C++ code and compile it using MATLAB Coder.

   d. Copy the generated code to the Raspberry Pi.

3. Deploy the YOLOv2 network on the Raspberry Pi:

   a. Start a new SSH session to the Raspberry Pi.

   b. Run the generated C++ code on the Raspberry Pi.

   c. Test the performance of the YOLOv2 network.

Please follow this link for detailed steps https://www.mathworks.com/help/deeplearning/ug/deploy-yolov2-object-detection-on-a-raspberry-pi.html.