Hi trend,
The Hard Way? Not great.
A few years ago I started getting a lot of email from subscribers asking for detailed, step-by-step coverage of key Computer Vision and OpenCV topics. I very often saw the same issues, the same mistakes, and the same wasted effort repeated over and over. I like helping my peers and I like seeing the amazing projects and successes that many of you have shared back with me. It should be no surprise that I also want to save you time and help you avoid needlessly hard paths.
Take the Easy Way!
So when I asked if there any interest in a comprehensive course, the response was an overwhelming "YES" and I couldn't have been more happy to oblige!
From there I created an initial course called CV4Faces that my subscribers loved. But after talking with OpenCV.org about how to supercharge the community, we came up with the idea of creating a series of official OpenCV Courses that would be funded through a Kickstarter OpenCV campaign. With almost $500K raised and more than 1300 supporters the fundraiser was an overwhelming success for the OpenCV community both in funds raised and in experts trained!
If you read my last email (which I really recommend!) you probably noticed that great artists steal. In this field it is difficult to start from scratch, read documentation, and laboriously claw your way through AI topics, training, and testing to get the results you need in any reasonable amount of time. Thankfully, now you don't have to! Leverage my experience instead and join the over 1300+ researchers, engineers, and students that have taken their knowledge of computer vision, AI, and deep learning to the next level.
Get Results
"I took this course because of the experts that were ahead of it and the availability to see the code implementations in both languages, C++ and Python. Definitely, the best part of the courses were the coding exercises and projects which made the learning process really immersive and fun. Implementing a small snippet of code from an idea presented in a research paper was the most remarkable exercise, you realize how a theoretical formula can be turned into an extraordinary practical application. If you are curious to understand how machines see and expand your knowledge through the multiple Computer Vision domains, this is the right course for you." - Felipe Verdés Wolukanis, Robotics Engineering, Warsaw University of Technology
Computer Vision I Course Details
The first course available (for beginners, novices, and engineers with deadlines) is the OpenCV Computer Vision I Course. In this course you'll achieve practical, usable results in a very short time that you can directly apply to your needs. Some of the topics include:
- Getting up and running with OpenCV
- Video IO and GUI plugins
- Image Processing including detection, thresholding, and more
- Image Enhancement including filters, infills and error correction, and more
- Transformations and Image Stitching
- AI Intro, Image recognition, detection, and classification
- Video Analysis
- Deep Learning
Here is the full Computer Vision I Syllabus (PDF).
Stay tuned for information about the Computer Vision II course, coming to your inbox tomorrow. Take the easy way: I have put my heart, my soul and a lot of time and resources into this course to save you time and effort. I will make it a wonderful experience for you. If you want to stop receiving emails about course enrollment, you may opt out here. However, you won't be able to get the substantial one-time-only 20% Discount that I'll be sharing with you soon.
Satya Mallick
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