This repository contains a script for object detection using the YOLO NAS model with pretrained weights on the COCO dataset. The detector.py script provides functions to detect objects in images and videos, and the yolonas_webcam.py script is for real-time object detection using the webcam. The app.py script provides a Streamlit app for user-friendly detection.

• Python 3.9
• PyTorch 1.9 or higher
• OpenCV 4.5 or higher
• Streamlit 1.0 or higher

Clone this repository:

git clone https://github.com/fjmoyao/yoloNAS-object-detection.git

Install the required packages:

pip install -r requirements.txt

To start the Streamlit app, run the following command:

streamlit run app.py

To start real-time object detection using the webcam, run the following command:

python yolonas_webcam.py

To export conda environment

conda env export --no-builds > environment.yml

To create conda environment

conda env create -f environment.yml