Weed Detection with YOLOv5

Hardware Specifications

Computer: Nvidia's Jetson Nano

Camera: "camera info"

OS: Ubuntu 18.04

**More information about Jetson Nano can be found here

Environment Setup

1. Run bash venv_setup.txt . This will create a virtual environment called venv and clone the YOLOv5 repository.

2. Run source venv/bin/activate to activate the virtual environment.

3. Within the virtual environment run pip install -r requirements.txt to install the dependencies.

4. Run deactivate to close the virtual environment.

Running the Inference

To run command line inference: bash exec/cli_inf.txt

To run PyTorch inference: bash exec/pytorch_inf.txt

Inference videos can be found within the media folder.

**NOTE: You may need to replace the arguments within the --source parameter (within the .txt file) with the registered device_id on your computer.

Setup for PyTorch Inference: Signal Output

"Pin Layout Info"

"Picture of Breadboard and Pin setup"