Python and Deep Learning with OpenCV 4

• Basic programming experience

Audience

• Software Engineers

OpenCV is a library of programming functions for deciphering images with computer algorithms. OpenCV 4 is the latest OpenCV release and it provides optimized modularity, updated algorithms, and more. With OpenCV 4 and Python, users will be able to view, load, and classify images and videos for advanced image recognition.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to program in Python with OpenCV 4 for deep learning.

By the end of this training, participants will be able to:

• View, load, and classify images and videos using OpenCV 4.
• Implement deep learning in OpenCV 4 with TensorFlow and Keras.
• Run deep learning models and generate impactful reports from images and videos.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

What is AI

• Computational Psychology
• Computational Philosophy

Deep Learning

• Artificial neural networks
• Deep learning vs. machine learning

Preparing the Development Environment

• Installing and configuring OpenCV

OpenCV 4 Quickstart

• Viewing images
• Using color channels
• Viewing videos

Deep Learning Computer Vision

• Using the DNN module
• Working with with deep learning models
• Using SSDs

Neural Networks

• Using different training methods
• Measuring performance

Convolutional Neural Networks

• Training and designing CNNs
• Building a CNN in Keras
• Importing data
• Saving, loading, and displaying a model

Classifiers

• Building and training a classifier
• Splitting data
• Boosting accuracy of results and values

Summary and Conclusion