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: 9/2021 • Languages: English
In order to be successful in PyImageSearch University, you need the following:
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Unlike other online courses, which are created once and never updated, leaving you with stale, out-of-date information, I keep PyImageSearch University up-to-date by releasing a brand new class every month!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:
To help you accomplish these goals, in each lesson I provide:
PyImageSearch University is without a doubt the most complete, comprehensive computer vision education online inside. I’ll see you inside.
If any of these descriptions fit you, rest assured, PyImageSearch University is designed for you.
We don’t offer just one Certificate of Completion like most online courses. Instead, we offer a certificate for each of the 27 courses inside PyImageSearch University.
And since a brand new course is released every month, that means each month you receive…
PyImageSearch graduates have gone on to:
PyImageSearch University is your chance to join them in computer vision and deep learning mastery.
27 Courses • 133 Classes • 38h 30m 30s Lectures
3 lessons, 0h 56m 31s
12 lessons, 2h 06m 18s
Image Fundamentals (15:07)
Drawing with OpenCV (16:38)
Image Arithmetic (12:14)
Bitwise Operations (7:54)
Splitting and Merging Channels (10:24)
9 lessons, 2h 32m 07s
Morphological Operations (19:53)
Smoothing and Blurring (19:57)
Basic Thresholding (14:19)
Adaptive Thresholding (16:01)
Image Gradients (19:53)
Edge Detection (14:31)
Automatic Edge Detection (10:46)
5 lessons, 1h 29m 44s
4 lessons, 1h 06m 51s
Deep Learning Face Detection with OpenCV (15:42)
Deep Learning Face Detection with Dlib (18:40)
Choosing a Face Detection Method (12:57)
4 lessons, 0h 51m 56s
Detecting Eyes, Nose, Lips, and Jaw with OpenCV (13:52)
Real-time Facial Landmark Detection (10:41)
5-point Facial Landmark Detection (9:47)
3 lessons, 0h 59m 38s
6 lessons, 2h 12m 22s
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)
5 lessons, 0h 56m 35s
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
Parameterized Learning and Neural Networks (11:19)
4 lessons, 1h 13m 10s
Stochastic Gradient Descent (SGD) with Python (18:50)
Gradient Descent Algorithms and Variations (16:08)
Regularization Techniques (10:43)
6 lessons, 2h 03m 30s
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)
3 lessons, 0h 49m 28s
Convolutional Neural Networks (CNNs) and Layer Types (26:44)
Are CNNs Invariant to Translation, Rotation, and Scaling? (7:11)
7 lessons, 1h 42m 49s
Save Your Keras and TensorFlow Model to Disk (9:55)
Load a Trained Keras/TensorFlow Model from Disk (9:16)
LeNet: Recognizing Handwritten Digits
MiniVGGNet: Going Deeper with CNNs (20:54)
Visualizing Network Architectures Using Keras and TensorFlow (7:20)
Pre-trained CNNs for Image Classification (14:58)
3 lessons, 1h 13m 07s
3 lessons, 1h 19m 52s
Data Pipelines with tf.data and TensorFlow (22:03)
Data Augmentation with tf.data and TensorFlow
4 lessons, 1h 19m 24s
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)
5 lessons, 1h 28m 45s
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)
4 lessons, 1h 36m 13s
Denoising Autoencoders with Keras and TensorFlow (14:16)
Anomaly Detection with Autoencoders (29:04)
Autoencoders for Content-based Image Retrieval (CBIR) (25:30)
4 lessons, 1h 52m 23s
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)
5 lessons, 2h 26m 52s
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)
7 lessons, 1h 51m 16s
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)
4 lessons, 2h 29m 02s
Selective Search for Object Detection (19:51)
Region Proposal Object Detection (25:34)
Training Your Own R-CNN Object Detector (59:09)
2 lessons, 1h 01m 06s
3 lessons, 0h 32m 07s
Lesson Lesson assessment
Installing Tesseract, PyTesseract, and Python OCR Packages On Your System (5:51)
Your First OCR Project with Tesseract and Python (8:56)
5 lessons, 0h 42m 11s
Whitelisting and Blacklisting Characters with Tesseract and Python (7:46)
Correcting Text Orientation with Tesseract and Python (7:27)
Language Translation and OCR with Tesseract and Python (7:37)
Using Tesseract with Non-English Languages (15:06)
11 lessons, 1h 22m 16s
What to Expect from This Course
Understanding Cameras (11:47)
Understanding LiDARs (8:23)
Review of Sensors in Self-Driving Cars
Sensor Fusion (8:51)
Point Pixel Project (4:08)
Projecting a LiDAR Point (3D) to an Image (2D) (4:30)
Applying the Magic Formula (5:53)
3D-2D Visualizations (11:58)
Coding the Magic Forumula (24:33)
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.
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.
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.
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.
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.
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!
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.
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Full access to PyImageSearch University
Brand new courses released every month, ensuring you can keep up with state-of-the-art techniques
38h 30m on-demand video
27 courses on essential computer vision, deep learning, and OpenCV topics
27 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.
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.
After you purchase you will be able to login and immediately access any code downloads, Jupyter Notebooks, video tutorials, courses, certificates of completion, etc.
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.
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.
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.
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:
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!