
Explore how to perform inference with YOLO NAS on images, videos, and webcam feeds, test the Uranus model on random images and videos, and export NAS models in onnx format.
Learn to read and display an image with OpenCV in Python, set up a PyCharm project, install the OpenCV Python package, and resize the image for full-screen viewing.
Learn to perform object detection on images using YOLO-NAS with the super gradients package, running a small model on CPU and visualizing results with OpenCV.
Learn to detect objects in videos with YOLO-NAS using OpenCV and the super gradients model, draw bounding boxes with confidence scores and coco-class labels, and prepare for deepsort tracking.
Track detected objects with the SORT algorithm integrated with YOLO-NAS object detection, assigning a unique ID to each object across video frames and the live webcam feed.
Count vehicles entering and leaving with YOLO-NAS for detection and SORT for tracking, using line crossing to update total counts and display results.
Create a streamlit app that runs YOLO-NAS vegetable detection on video feeds and uses ChatGPT to generate recipes from detected vegetables, featuring an about page and a recipe generator.
Discover the segment anything model from Meta, an image segmentation tool that identifies and extracts objects in images and videos with zero-shot performance.
Combine yolo-nas object detection with the segment anything model to generate masks, focusing on the person class, using coco dataset labels and bounding boxes for precise segmentation.
Learn to detect license plates with YOLO-NAS and read them with EasyOCR in an end-to-end ANPR workflow, including project setup and displaying OCR results.
Welcome to the YOLO-NAS: The Ultimate Course for Object Detection & Tracking with Hands-on Projects, Applications and WebApps development. YOLO-NAS is a next-generation object detection model that has been developed using the Neural Architecture Search (NAS) technology.
Topics covered in this course:
Introduction to YOLO-NAS
YOLO-NAS: New YOLO Object Detection Model Beats YOLOv6 & YOLOv8
What's New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?
YOLO-NAS Object Detection in Windows
Object Detection on Images
Object Detection on Videos
Object Detection with YOLO-NAS on Live Webcam Feed
Run YOLO-NAS Model in Google Colab
How to find the dataset
Data annotation/labeling/ Automatic Dataset Splitting
How to train YOLO-NAS using custom dataset, transfer learning
Potholes Detection using YOLO-NAS
Personal Protective Equipment (PPE) Detection using YOLO-NAS
Real Time Custom Object Detection (PPE Detection) with Webcam and Export Model
Introduction to Multi-Object Tracking
Object Tracking using YOLO-NAS and SORT
Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking
Real Time Sign Language Alphabets Detection using YOLO-NAS
Real Time Face Mask Detection using YOLO-NAS
Fire Detection using YOLO-NAS
Cars Counting using YOLO-NAS and SORT Object tracking
People Counter using YOLO-NAS and SORT Object Tracking
Plastic Bottles Counting in a Manufacturing Line using YOLO-NAS
Automatic Number Plate Recognition using YOLO-NAS
Privacy Blurring using YOLO-NAS
Streamlit Apps with YOLO-NAS and ChatGPT
Create ChatGPT Article Generator with Python and Streamlit
Vegetables Detection with YOLO-NAS
Create a Streamlit app using YOLO-NAS and ChatGPT to generate recipes
Segment Anything Model Introduction
YOLO-NAS + SAM: Image Segmentation using YOLO-NAS and Segment Anything Model