Build #30 Apps with OpenCV, YOLOv8 & YOLO-NAS 2023-10 – Downloadly

Descriptions

Learn OpenCV: Build #30 Apps with OpenCV, YOLOv8, and YOLO-NAS Welcome to the course, we’ll start with the basics of OpenCV. From there, we’ll move on to building real-world applications with OpenCV. Next, we’ll explore different object detection algorithms, such as YOLOv8 and YOLO-NAS. We’ll build different applications using YOLOv8 and YOLO-NAS. In this course, we’ll not only implement object tracking from scratch using OpenCV, but we’ll also explore best-in-class object tracking algorithms such as SORT and DeepSORT. In addition, we’ll also focus on pose estimation in this course. With the help of MediaPipe and OpenCV, we’ll unlock the secrets of pose estimation. We’ll apply this knowledge to build practical applications, such as a bicep curl counter and a push-ups counter, to bring your skills to life.

What you will learn

Understand the basics of OpenCV
Use OpenCV to work with image and video files
Apply various image processing techniques with OpenCV, including blurring, dilation, erosion, edge detection, contour finding and drawing, and warp perspective
Use Haar Cascades classifiers to recognize faces, license plates, etc.
Use OpenCV to build real-world applications including optical mark detection, lane detection, QR and barcode recognition, object size measurement, etc.
Use OpenCV to build advanced projects/applications including Basketball Shot Prediction, Parking Space Counter, Pong Game with Hand Gestures, Gesture Vol Cnt
Understand the basics of object detection and learn how to use the YOLO algorithm for object detection with YOLOv8 and YOLO-NAS.
Understand the basics of object segmentation and learn how to perform object segmentation using YOLOv8 and how to train the YOLOv8 segmentation model on custom data
Understand the basics of object tracking and how to integrate the SOTA object tracking algorithms, i.e. SORT and DeepSORT, with YOLOv8 and YOLO-NAS
Build real-world applications with YOLOv8 and YOLO-NAS, including pothole detection, personal protective equipment detection, vehicle intensity heatmaps, etc.

Who is this course suitable for?

For anyone interested in computer vision
For anyone who wants to learn OpenCV and the latest YOLOv8 and YOLO-NAS versions
For anyone studying computer vision and wanting to know how to use YOLO for object detection
For anyone who wants to develop deep learning apps with computer vision