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Master Computer Vision OpenCV4 in Python with Deep Learning

Via Udemy

Udemy based on 3 ratings

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Overview

Master Open CV4 like a pro while learning Dlib, Deep Learning Computer Vision (Keras, Tensor Flow & Caffe) + 21 Projects! What you'll learn: Understand and use Open CV4 in Python How to use Deep Learning using Keras & Tensor Flow in Python Create Face Detectors & Recognizers and create your own advanced face swaps using DLIBObject Detection, Tracking and Motion Analysis Create Augmented Reality Apps Programming skills such as basic Python and Numpy How to use Computer Vision in...

Syllabus

  • Course Introduction and Setup
  • Basics of Computer Vision and OpenCV
  • Image Manipulations & Processing
  • Image Segmentation & Contours
  • Object Detection in OpenCV
  • Object Detection - Build a Face, People and Car/Vehicle Detectors
  • Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)
  • Simple Machine Learning using OpenCV
  • Object Tracking & Motion Analysis
  • Computational Photography & Make a License Plate Reader
  • Conclusion
  • BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine
  • BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks
  • BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)
  • BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras
  • BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier
  • BONUS - Build a Credit Card Number Reader
  • BONUS - Neural Style Transfer with OpenCV
  • BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects
  • BONUS - Colorize Black and White Images
Master Computer Vision OpenCV4 in Python with Deep Learning
Go to Class

via Udemy

10 hours 45 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Rajeev D. Ratan

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