MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 5h 13m | 1.93 GB
What you'll learn
Computer vision and Image Processing
Image Processing operations using Opencv
Face Detection and work with Live Camera
Convolutional Neural Network Concept
Project-Handwritten digits Classifier
Project: Dogs vs Cats classifier
Project: Real time Object Detection using YOLOv3
Project: Social Distancing Detector COVID-19
Project: MNIST Fashion Classifier
Requirements
Basic programming skills in Python would be beneficial.
WebCam if you want to learn the video streaming content
Description
OpenCV-Python is an appropriate tool for fast prototyping of Computer Vision problems.
Hands-on Computer Vision with OpenCV from scratch to real-time project development.
Computer Vision is the hottest field in the era of Artificial Intelligence. It is making enormous advances in Self-driving cars, Robotics, Medical as well as in various image correction apps.
Computer Vision is showing us the future of technology and we can't even imagine what will be the end of its possibilities.
OpenCV library uses NumPy and all its array structures convert to and from NumPy arrays.
OpenCV is used to develop real-time computer vision applications. It is capable of processing images and videos to identify objects, faces, or even handwriting.
You will learn the topics:
The key concepts of computer Vision & OpenCV
Basic operations: Image read and display, Image Properties, Image resize and write, ROI and Color Mapping, Horizontal & Vertical flipping of images.
Drawing function in OpenCV
Working with Live Camera
Object detection: haarcascade face detection in images and Live camera
Convolutional Neural Network (CNN)
Deep Learning with Keras
Project: Handwritten Digit Classification using MNIST
Project: Fashion Classifier using FNIST
Project: Dogs vs Cats classifier
Project: Object Detection using YOLOv3
Project: Social Distancing Detector COVID-19
Feel free to message us on Udemy if you have any questions about the course!
So, are you ready to get started? Enroll now and start the process of becoming a Master in Computer Vision using Deep Learning today!
Who this course is for:
Python Developers, who want to upgrade in Computer Vision and Deep Learning.
Freshers Interested in Computer Vision and Deep Learning.
Engineering Students Who Want to Make Their Carrier in Computer Vision and Deep Learning.
Passion to learn computer vision from scratch
Screenshots
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