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Description
Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS, the OpenCV training course with building 30 apps with YOLOv8 and YOLO-NAS is published by Udemy Academy. Let’s start with the basics of OpenCV. Next, we will build real applications using OpenCV. In the following, we will examine different object recognition algorithms, namely YOLOv8 and YOLO-NAS. We will create 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 state-of-the-art object tracking algorithms such as SORT and DeepSORT. Additionally, we will also focus on Pose Estimation in this course. With the help of MediaPipe and OpenCV, we will discover the secrets of gesture estimation. We use this knowledge to develop practical applications like Bicep Curl Counter and Push-Ups Counter and improve your skills.
What you will learn
- You will understand the basics of OpenCV
- Using OpenCV to work with image and video files
- Using various image processing techniques with OpenCV including Blurring, Dimming, Erosion, Edge Detection, Find and Draw Contours, Warp Perspective
- Using Haar Cascades classification tools to recognize faces, license plates, etc.
- Using OpenCV to create real-world applications including optical point detection, line detection, barcode and QR detection, object size measurement, etc.
- Using OpenCV to create advanced projects and applications including basketball shot predictor, parking space counter, pong game using hand gestures
- You understand the basics of object detection and learn how to use the YOLO algorithm to perform object detection with YOLOv8 and YOLO-NAS.
- You will understand the basics of object segmentation and learn how to perform object segmentation with YOLOv8 and how to train the YOLOv8 segmentation model on custom data.
Who is this course suitable for?
- For everyone interested in computer vision
- For everyone who wants to learn OpenCV and the latest version of YOLOv8 and YOLO – NAS
- For everyone who studies computer vision and wants to learn YOLO to recognize objects
- For everyone who wants to build deep learning applications with computer vision
Course details Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS
- Publisher: Udemy
- teacher : Muhammad Moin
- English language
- Education level: all levels
- Number of courses: 87
- Training duration: 24 hours and 42 minutes
Chapters of the Learn OpenCV course: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS
Course prerequisites
- Python programming experience is an advantage but not required
- Laptop/PC
Pictures
Sample video
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
23.02 GB
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