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PyImageSearch University: You can master Computer Vision, Deep Learning, and OpenCV

I strongly believe that if you had the right teacher you could master computer vision and deep learning.

Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or has to involve complex mathematics and equations? Or requires a degree in computer science?

That’s not the case.

All you need to master computer vision and deep learning is for someone to explain things to you in simple, intuitive terms. And that’s exactly what I do. My mission 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’ll learn how to successfully and confidently apply computer vision to your work, research, and projects. Join me in computer vision mastery.

Created by: Adrian Rosebrock, PhD • Last updated: 6/2021 • Languages: English

4.84 (128 Ratings) • 3,690 Students Enrolled
What you'll learn
  • Principles of computer vision and image processing
  • Fundamentals of the OpenCV library
  • Deep learning
  • Face detection
  • How to apply facial landmark detection
  • Face recognition
  • Adverserial image attacks
  • How to defend against adverserial attacks
  • Object detection
  • Plus, new classes added every month!
Requirements

In order to be successful in PyImageSearch University, you need the following:

  • Understanding of Python basics
  • Internet connection
  • Windows, macOS, Linux, or Raspbian (all major operating systems supported)
  • Free Gmail/Google account to run pre-configured Jupyter Notebooks in Colab (optional)
  • A desire to learn
Course description

PyImageSearch University is a comprehensive set of self-paced courses for developers, students, and researchers who are ready to master computer vision, deep learning, and OpenCV. Inside this course you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects.

Unlike other online courses, which are created once and never updated, leaving you with stale, out-of-date information, I keep PyImageSearch University up-to-date by releasing a brand new class every month!

Releasing a new class every month ensures you can keep up with the state-of-the-art in computer vision and deep learning, learn new algorithms and techniques, and:

  • Successfully complete your projects at work
  • Perform novel research (and publish papers)
  • Finish your final graduation project for school
  • Launch your next company in the Artificial Intelligence space

To help you accomplish these goals, in each lesson I provide:

  • Detailed video tutorials for every lesson
  • High-quality, well documented source code with line-by-line explanations (ensuring you know exactly what the code is doing)
  • Jupyter Notebooks that are pre-configured to run in Google Colab with a single click
  • Support for all major operating systems (Windows, macOS, Linux, and Raspbian)

PyImageSearch University is without a doubt the most complete, comprehensive computer vision education online inside. I’ll see you inside.

Adrian Rosebrock
CEO, PyImageSearch.com

Trusted by members of top artificial intelligence companies, schools, and organizations
Apple Google Microsoft Adobe IBM Intel Stanford MIT UCLA CMU
Who this course is for:

If any of these descriptions fit you, rest assured, PyImageSearch University is designed for you.

  • You are a computer vision practitioner that utilizes deep learning and OpenCV at your day job, and you’re eager to level-up 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 coworkers (and land that big promotion).
  • You are a college student who needs help with your homework, completing your final graduation project, or you simply want more than what your university offers.
  • You are a researcher or scientist looking to apply computer vision and deep learning techniques to your research (and publish a paper).
  • You have experience with machine learning and want to learn more about deep learning and neural networks.
  • You are an entrepreneur studying computer vision/deep learning so you can launch your next business in the Artificial Intelligence space.
  • You are a "computer vision hobbyist" who wants to successfully complete that project you are hacking on over nights and weekends.
  • You're a PyImageSearch reader that wants access to centralized repos containing high-quality, well documented source code, pre-trained models, image datasets, etc. for all 400+ tutorials on PyImageSearch.com.
  • You prefer running code examples with Jupyter Notebooks in Google Colab — my notebooks are pre-configured and ready to run in Google Colab with only a single click.
  • You want to skip the painful process of configuring your development environment — no more headaches and wasted time spent configuring your development environment, run all code examples in your web browser!
  • You learn best through video tutorials — PyImageSearch University includes video guides for every single lesson.
20 Certificates of Completion
PyImageSearch University offers 20 Certificates of Completion in Computer Vision, Deep Learning, and OpenCV

We don’t offer just one Certificate of Completion like most online courses. Instead, we offer a certificate for each of the 20 courses inside PyImageSearch University.

And since a brand new course is released every month, that means each month you receive…

  • A brand new course
  • A new set of lessons
  • A new set of quizzes
  • A new final exam
  • And another opportunity to demonstrate your computer vision and deep learning knowledge to the world

PyImageSearch graduates have gone on to:

PyImageSearch University is your chance to join them in computer vision and deep learning mastery.

PyImageSearch University syllabus

20 Courses • 99 Classes • 32h 10m 11s Lectures

Loading and Displaying Images with OpenCV (12:15)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Image Fundamentals (15:07)

Drawing with OpenCV (16:38)

Translation (8:20)

Rotation (11:01)

Resizing (13:13)

Flipping (3:04)

Cropping (10:16)

Image Arithmetic (12:14)

Bitwise Operations (7:54)

Masking (5:52)

Splitting and Merging Channels (10:24)

Final exam

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Kernels (24:47)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Morphological Operations (19:53)

Smoothing and Blurring (19:57)

Color Spaces (12:00)

Basic Thresholding (14:19)

Adaptive Thresholding (16:01)

Image Gradients (19:53)

Edge Detection (14:31)

Automatic Edge Detection (10:46)

Final exam

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Image Histograms (22:55)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Histogram and Adaptive Histogram Equalization (16:10)

Histogram Matching (15:00)

Gamma Correction (11:26)

Automatic Color Correction (24:13)

Final exam

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Face Detection with Haar Cascades (19:32)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Deep Learning Face Detection with OpenCV (15:42)

Deep Learning Face Detection with Dlib (18:40)

Choosing a Face Detection Method (12:57)

Final exam

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Facial Landmarks with Dlib and and OpenCV (17:36)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Detecting Eyes, Nose, Lips, and Jaw with OpenCV (13:52)

Real-time Facial Landmark Detection (10:41)

5-point Facial Landmark Detection (9:47)

Final exam

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What Is Face Recognition? (11:21)

Lesson Lesson assessment

Face Recognition with Local Binary Patterns (23:29)

OpenCV Eigenfaces for Face Recognition (24:48)

Final exam

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AprilTag Detection (22:43)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Generating ArUco Markers with OpenCV (19:36)

Detecting ArUco Markers with OpenCV (24:08)

Automatically Determining ArUco Marker Type (18:26)

Augmented Reality with ArUco Markers (24:18)

Real-time Augmented Reality with OpenCV (23:11)

Final exam

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What is Deep Learning? (13:34)

Lesson Lesson assessment

Image Classification Basics (6:31)

The Deep Learning Classification Pipeline (5:11)

Your First Image Classifier: Using k-NN to Classify Images (20:00)

Parameterized Learning and Neural Networks (11:19)

Final exam

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Understanding and Implementing Gradient Descent (27:29)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Stochastic Gradient Descent (SGD) with Python (18:50)

Gradient Descent Algorithms and Variations (16:08)

Regularization Techniques (10:43)

Final exam

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Introduction to Neural Networks (11:02)

Lesson Lesson assessment

Implementing the Perceptron Neural Network with Python (21:21)

Backpropagation from Scratch with Python (39:46)

Implementing Feedforward Neural Networks with Keras and TensorFlow (27:40)

The 4 Key Ingredients When Training Any Neural Network (14:25)

Understanding Weight Initialization for Neural Networks (9:16)

Final exam

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Regression with Neural Networks (23:41)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Regression with CNNs (25:15)

Combining Categorical, Numerical, and Image Data Into a Single Neural Network (24:11)

Final exam

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A Gentle Introduction to tf.data with TensorFlow (28:49)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Data Pipelines with tf.data and TensorFlow (22:03)

Data Augmentation with tf.data and TensorFlow (29:00)

Final exam

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Introduction to Hyperparameter Tuning (24:30)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Hyperparameter Tuning for Computer Vision Projects (16:34)

Using scikit-learn to Tune Deep Learning Model Hyperparameters (18:28)

Easy Hyperparameter Tuning with Keras Tuner (19:52)

Final exam

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What is PyTorch? (24:57)

Lesson Lesson assessment

Your First Neural Network with PyTorch (16:21)

Training Your First CNN with PyTorch (25:45)

Image Classification with Pre-Trained Networks and PyTorch (10:15)

Object Detection with Pre-Trained Networks and PyTorch (11:27)

Final exam

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Autoencoders with Keras and TensorFlow (27:23)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Denoising Autoencoders with Keras and TensorFlow (14:16)

Anomaly Detection with Autoencoders (29:04)

Autoencoders for Content-based Image Retrieval (CBIR) (25:30)

Final exam

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Building Image Pairs for Siamese Networks (26:42)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Implementing Your First Siamese Network with Keras and TensorFlow (32:24)

Comparing Images for Similarity with Siamese Networks (23:12)

Improving Accuracy with Contrastlive Loss (30:05)

Final exam

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Adversarial Images and Attacks with Keras and TensorFlow (26:38)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Targeted Adversarial Attacks with Keras and TensorFlow (40:02)

Adversarial Attacks with FGSM (Fast Gradient Signed Method) (21:03)

Defending Against Adverserial Attacks (27:50)

Mixing Normal Images and Adversarial Images when Training CNNs (31:19)

Final exam

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Shape Detection with OpenCV (14:07)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Template Matching with OpenCV (14:52)

Multi-template Matching (15:17)

Multi-scale Template Matching (21:34)

Haar Cascades with OpenCV (13:03)

Deep Learning Object Detectors with OpenCV (17:21)

Real-time Deep Learning Object Detection with OpenCV (15:02)

Final exam

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Turning Any Deep Learning Image Classifier into an Object Detector (44:28)

Lesson Code download Pre-configured Jupyter Notebook Lesson assessment

Selective Search for Object Detection (19:51)

Region Proposal Object Detection (25:34)

Training Your Own R-CNN Object Detector (59:09)

Final exam

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Course reviews

My students have published novel research papers, changed their careers from developers to computer vision/deep learning practitioners, successfully applied CV/DL to their work projects, landed positions at R&D companies, and won grant/award funding for research. Take a look and see for yourself how PyImageSearch University can help you in your journey.

4.84 Based on 128 Reviews
  • 5 stars

    87.50%

  • 4 stars

    9.38%

  • 3 stars

    3.13%

  • 2 stars

    0%

  • 1 star

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PyImageSearch University is really the best Computer Visions "Masters" Degree that I wish I had when starting out. Being able to access all of Adrian's tutorials in a single indexed page and being able to start playing around with the code without going through the nightmare of setting up everything is just amazing. 10/10 would recommend.

review-author-avatar
Sanyam Bhutani
Machine Learning Engineer and 2x Kaggle Master

Not going to kid you: PyImageSearch University is worth every cent. I get asked ALL the time at my talks how I got started. PyImageSearch was the foundation.

review-author-avatar
Paul Zikopoulos
IBM VP

This is a fantastic, unique resource. Where else can you get such brilliant tuition in such a wide variety of computer vision topics for such a low monthly cost? Nowhere is the answer. Highly recommended.

review-author-avatar
Tony Holdroyd
Freelance Machine Learning Developer

At the age of 58, learning ML, Computer Vision and Python all in parallel with no prior programming background was a steep learning curve and without PyImageSearch this could not have been possible. PyImageSearch brought it all nicely together.

review-author-avatar
Sam Ranade
IT Professional

When I first undertook my current ongoing robotics project my goals were very modest. Then I discovered PyImageSearch and found that I could go light-years beyond what I thought myself capable of back then. Through Adrian's detailed and easy-to-follow tutorials, I have achieved functionality goals I wouldn't have dared dream of before. My understanding and implementation of Python, along with a number of computer vision and machine learning concepts puts me on a par with some of the best programmers I've worked with. I couldn't have achieved this level of satisfaction without Adrian and his organization, and I am very grateful.

review-author-avatar
David Xanatos
Researcher, Electronic Engineer, Programmer

As a CS professor, I scaffold experiences so that my students build confidence, comfort, and enjoyment across all of the "pixel-processing's realm." Adrian's Jupyter/Colab materials are both invaluable -- and far more valuable than their price!

review-author-avatar
Zachary Dodds
Computer Science Professor at Harvey Mudd College

The PyImageSearch tutorials have been the most to the point content I have seen. I have always been able to get straightforward solutions for most of my Computer Vision and Deep Learning problems that I face in my day-to-day work life. Courses like this is what helps people and industries around the world to make quick and efficient solutions to their problems in real time.

review-author-avatar
Swastik Mahapatra
Deep Learning Intern
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Full Access Plan

FREE for 7 days, then...

No commitments, cancel anytime.

This course includes:

Full access to PyImageSearch University

Brand new courses released every month, ensuring you can keep up with state-of-the-art techniques

32h 10m on-demand video

20 courses on essential computer vision, deep learning, and OpenCV topics

20 Certificates of Completion

304 tutorials and downloadable resources

Pre-configured Jupyter Notebooks in Google Colab for 200+ PyImageSearch tutorials

Run all code examples in your web browser — works on Windows, macOS, and Linux (no dev environment configuration required!)

Access to centralized code repos for all 400+ tutorials on PyImageSearch

Easy one-click downloads for code, datasets, pre-trained models, etc.

Access on mobile, laptop, desktop, etc.

Frequently Asked Questions

I already have a PyImageSearch University account. How do I login?

Thank you for being a member of PyImageSearch University! You can login here.

Do I need any programming experience before joining PyImageSearch University?

We assume you have some prior programming experience (e.g. you know what a variable, function, loop, etc. are). You should have more skills than a novice, but certainly not an intermediate or advanced developer. As long as you understand basic programming logic flow you'll be successful inside PyImageSearch University.

Do I need to know anything about computer vision, deep learning, or OpenCV to get started in PyImageSearch University?

No. The courses inside PyImageSearch University will teach you computer vision, deep learning, and OpenCV. As long as you have basic programming experience you will be successful inside PyImageSearch University.

What happens after I purchase?

After you purchase you will be able to login and immediately access any code downloads, Jupyter Notebooks, video tutorials, courses, certificates of completion, etc.

Do I need any special software or hardware?

No. All of our courses, coding exercises, etc. can be completed inside your browser using our pre-configured Jupyter Notebooks running in Google Colab. If you prefer to instead configure your local development environment, we provide install instructions as well.

How will I be charged?

For monthly and yearly memberships, you will be charged on a recurring monthly or yearly basis, depending on your subscription type, starting from the sign-up date. You can cancel at any time.

There are no recurring payments for the lifetime membership — you will have access to PyImageSearch University at no additional cost.

Can I upgrade my account from one membership to another?

Yes! Simply select the membership you would like to upgrade to and join. Your old membership will be automatically cancelled so you don’t have to worry about cancelling it or being double-billed.

Can I pause/cancel my account?

Yes. Once you login, click your profile icon, followed by “Settings” and “Billing Info”. From there you can edit your payment method or cancel/pause your membership.

Do you offer bulk PyImageSearch University memberships to businesses, colleges, etc.?

Yes! Just send me a message via my contact form and we can schedule a call to discuss getting your organization access to PyImageSearch University.

Hi there — I’m Adrian Rosebrock.

About your teacher

Hey, I'm Adrian Rosebrock, a Ph.D and entrepreneur who has spent his entire adult life studying computer vision and machine learning. Over the past 6 years alone I have:

  • Started the PyImageSearch.com blog and published over 400+ tutorials and articles aimed at teaching computer vision, deep learning, and OpenCV.
  • Authored Deep Learning for Computer Vision with Python, the most in-depth computer vision and deep learning book available today, including super practical walkthroughs, hands-on tutorials (with lots of code), and a no-nonsense teaching style that will help you master computer vision and deep learning.
  • Answered over 50,000+ emails and helped 10,000s of developers, researchers, and students just like yourself learn the ropes of computer vision and deep learning.

If having an actual PhD in the field teach you computer vision, deep learning, and OpenCV sounds interesting to you, join me inside PyImageSearch University. You'll learn a ton about computer vision and deep learning in a practical, hands-on way. And you'll have fun doing it. See you on the other side!