PyImageSearch University – Complete Package 2023-7 – Download

Explanation

PyImageSearch University – Complete Package, You will learn image classification, object detection, and deep learning. Learn faster about all the hot topics in any course. Guaranteed. All you need to improve computer vision and deep learning is to have someone explain it to you. simple, intuitive conditions. And that’s exactly what I domy goal is to change education and how complex artificial intelligence topics are taught.

Welcome to PyImageSearch University, the most comprehensive computer vision, deep learning, and OpenCV course online today. Here you will learn how to do it successfully and with confidence Apply computer vision to your work, research, and projects. Join me in computer vision for knowledge. Learn how to track objects, the foundation of hundreds of applications! OpenCV is a popular open source computer vision library that can be used to track objects in images and videos. In this course you will learn how to track a ball visually using OpenCV which is a basic computer vision and deep learning activity.

What will you learn?

Successfully complete your computer vision and deep learning projects
Find a job in Artificial Intelligence
Apply computer vision and deep learning to your work and workplace
Complete your final thesis project and earn your bachelor’s degree
Complete your MSc or PhD thesis
Conduct new research and publish a paper in a reputable AI journal
Learn computer vision and deep learning, then teach it to your high school or college students
Understand computer vision and deep learning, and start a business in the AI space
finish your AI hacking project on nights and weekends
How to install OpenCV on your computer
How to use OpenCV to capture video from a webcam or video file
How to use OpenCV to get the shape of a ball shape
How to track the position and movement of the ball visually
How to use OpenCV to draw a box around a video ball
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Who is this course for?

You are a computer vision professional who uses deep learning and OpenCV in your daily work, and you are eager to improve your skills.
You’re a developer who wants to learn computer vision/deep learning, complete your challenging project at work, and stand out from your peers (and land that huge promotion).
Are you a college student who needs help with your homework, completing your final thesis project, or simply want extra than what your university offers.
You are a researcher or scientist looking to apply computer vision and deep learning techniques to your research (print a paper).
You have experience in machine learning and want to learn more about deep learning and neural networks.

Complete Package Specifications

Publisher: PyImageSearch University
Instructor: Adrian Rosebrock
Language: English
Level: Medium
Number of courses: 159
Duration: 51 hours and 47 minutes

Contents of the Complete Package

– OpenCV 101 – Basics of OpenCV
– OpenCV 102 – Basic Image Processing Operations
– OpenCV 104 – Histograms
Face applications 101 – Face detection
Facial Applications 102 – The Basics of Facial Marking
Facial Recognition 101 – The Basics of Facial Recognition
– Augmented Reality 101 – Fiducials and Symbols
– Deep Learning 101 – Neural Networks and Perceptual Learning
– Deep Learning 102 – Optimization and Optimization Methods
– Deep Learning 103 – Fundamentals of Neural Networks
– Deep Learning 104 – Convolutional Neural Networks (CNNs)
– Deep Learning 105 – Experience with CNNs
– Deep Learning 120 – Regression of CNNs
– Deep learning 125 – Data pipes with tf.data
– Deep Learning 130 – Hyperparameter Treatment
– PyTorch 101 – PyTorch Basics
– PyTorch 102 – PyTorch intermediate for CV techniques
– PyTorch 103 – Advanced PyTorch techniques
– Autoencoders 101 – Introduction to Autoencoders
– Siamese Web 101 – Introduction to Siamese Web
– Image Enemies 101 – Introduction to Images
– Object Detection 101 – Simple Object Detection
– Object Recognition 201 – Fundamentals of Deep Learning Object Knowledge
– Finding Item 202 – Limited Box Returns
– OCR 101 – Basics of Visual Character Recognition
– OCR 110 — Using Tesseract in Translation and Non-English Languages
– OCR 210 — EasyOCR, Sync Documents, and OCR Documents
– Deep Learning 106 – Improving the Accuracy of CNNs
– Deep Learning 107 — Real Basic Projects
– Deep Learning 301 – Advanced Topics
– GANs 101
– GANs 201
– OCR 120
– OCR 130
– OCR 201
– OCR 220

Requirements

Basic understanding of Python
Internet connection
Windows, macOS, Linux, or Raspbian (all major operating systems are supported)
A free Gmail/Google account to run preconfigured Jupyter Notebooks with Colab (optional)
Desire for education

Pictures

PyImageSearch University - Complete Package

Sample Clip

Installation Guide

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Quality: 720p

Changes:

Version 2023/7 compared to 2021/10 increased the number of 15 lessons and the duration of 9 hours and 45 minutes.