OpenCV and Tensorflow for Video Processing and Computer Vision


Course Number: PYTH-154

Duration: 3 days (19.5 hours)

Format: Live, hands-on

OpenCV and Tensorflow Training Overview

This live, hands-on OpenCV and Tensorflow for Video Processing and Computer Vision training course teaches attendees how to perform still image processing and streaming video analysis. Participants learn applied applications of computer vision, including object detection and recognition, medical image analysis, and video object tracking. Attendees also learn how to build a neural network using Keras/TensorFlow before building Convolutional Neural Networks to process image data.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

Objectives

  • Install Anaconda on a personal computer
  • Understand the fundamental concepts of computer vision
  • Understand Neural Networks
  • Use deep learning and Convolutional Neural Networks (CNNs)
  • Understand TensorFlow and Keras
  • Detect, recognize, and classify faces
  • Understand OpenCV
  • Understand feature extraction and feature matching
  • Segment, manipulate, and process images such as medical scans
  • Understand the fundamentals of streaming video analysis
  • Understand motion estimation and object tracking in video
  • Implement computer vision applications for your own problems

Prerequisites

Students must know basic Python programming.

Outline

Expand All | Collapse All

Introduction
Overview of Artificial Intelligence and Computer Vision
Install Anaconda/OpenCV
Introduction to Neural Networks
  • Introducing Perceptrons
  • Step Function
  • Updating the weights
  • The math behind neural networks
  • Hidden Layers
  • Activation functions
  • Loss functions
  • Gradient descent
  • Back propagation
  • Vanishing gradient problem and ReLU
  • Understanding the intuition behind neural networks
From Deep Neural Networks to Deep Learning
  • Understanding unstructured data
  • The architecture of deep learning
  • Introducing Keras/TensorFlow
  • Understanding unstructured data
Introduction to Convolutional Neural Networks (CNN)
  • Convolutional layers
  • Pooling layers
  • Fully connected layers
Neural Networks in TensorFlow
Building a CNN in TensorFlow
Using TensorFlow to implement a neural network
Image Processing Libraries
  • NumPy
  • Matplotlib
  • OpenCV
  • Python Imaging Library (PIL)
  • Scikit-image
Image Correction and Manipulation
  • Contrast and Brightness Correctio
  • Color Models
Deep Learning for Computer Vision
Image Recognition and Classification
Face Detection and Recognition
Introduction to OpenCV
Color Models
Image Thresholding, Blurring, Smoothing, Edge Detection
Image Morphological Transformations
Image Segmentation
Medical Image Processing
Video Analysis
Understanding Video
OpenCV and Video
Capturing Video from a Camera
Using Video Files
Optical Flow and Motion Estimation
Deep Learning in Optical Flow Estimation
Using OpenCV for Visual Object Tracking
Structured Activity/Exercises/Case Studies:
  • Install Anaconda
  • Using TensorFlow to implement a neural network
  • Face Detection and Recognition
  • Medical Image Processing
  • Using OpenCV for Visual Object Tracking
Conclusion

Training Materials:

All OpenCV and Tensorflow training students receive comprehensive courseware.

Software Requirements:

  • Any Windows, Linux, or macOS operating system
  • Python 3.x installed (Anaconda bundle recommended)
  • An IDE with Python support (Jupyter Notebook, Spyder, or PyCharm Community Edition)


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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