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Computer Vision Talks – Tutorials, Digests, and CV in the Cloud

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Today I dropped a boat-load of money on a shiny new Next Desk Terra standing desk.

Now why did I do this? Why would I turn my pockets inside out and spend what little money I have on an ultra-expensive desk?

Because I believe in fitness. I believe in a healthy lifestyle. And I believe in being active.

And speaking of being active…the computer vision community itself needs to be more active.

As developers, programmers, and researchers, no matter what level or experience, we need to reach out to each other more. We need to hold more valuable conversations. And we need to better share our resources.

In an effort to accomplish this, I wanted to take a second and clue you in on a valuable computer vision source — Computer Vision Talks.

Computer Vision Talks

Founded and run by Eugene Khvedchenya, Computer Vision Talks includes computer vision discussions, tutorials, and reviews of the hottest topics in computer vision (take a look at the digest for May and June and I think you’ll agree that Eugene’s monthly reviews are well worth the read).

Eugene is also the author of Mastering OpenCV with Practical Computer Vision Projects, which includes step-by-step tutorials to solve common computer vision problems.

His book is for C/C++ programmers with a little bit of prior computer vision experience (so you should at least know the basics).

Finally, Eugene is also working on a really cool project, CloudCV, which aims to take “computer vision to the cloud” via simple API calls.

It’s safe to say that Eugene is doing a lot of awesome work in the computer vision field. Definitely take a second to check him out over at Computer Vision Talks.

What's next? We recommend PyImageSearch University.

Course information:
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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.

If you're serious about learning computer vision, your next stop should be 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.

Inside PyImageSearch University you'll find:

  • ✓ 86+ courses on essential computer vision, deep learning, and OpenCV topics
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  • ✓ Easy one-click downloads for code, datasets, pre-trained models, etc.
  • ✓ Access on mobile, laptop, desktop, etc.

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Featured Researcher

Are you doing interesting work in the computer vision world? Shoot me message and let’s chat. I would be happy to discuss your projects and even feature your work on the PyImageSearch blog.

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About the Author

Hi there, I’m Adrian Rosebrock, PhD. All too often I see developers, students, and researchers wasting their time, studying the wrong things, and generally struggling to get started with Computer Vision, Deep Learning, and OpenCV. I created this website to show you what I believe is the best possible way to get your start.

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2 responses to: Computer Vision Talks – Tutorials, Digests, and CV in the Cloud

  1. Christophe LCK

    Hi Adrian,

    I’ve just finished the practical book (I started this morning while you mailed me). Very pleasant to read and easy, even gradient and laplacian stuff that sound like old reminds of my studies courses.

    Tomorrow will be the case studies …

Comment section

Hey, Adrian Rosebrock here, author and creator of PyImageSearch. While I love hearing from readers, a couple years ago I made the tough decision to no longer offer 1:1 help over blog post comments.

At the time I was receiving 200+ emails per day and another 100+ blog post comments. I simply did not have the time to moderate and respond to them all, and the sheer volume of requests was taking a toll on me.

Instead, my goal is to do the most good for the computer vision, deep learning, and OpenCV community at large by focusing my time on authoring high-quality blog posts, tutorials, and books/courses.

If you need help learning computer vision and deep learning, I suggest you refer to my full catalog of books and courses — they have helped tens of thousands of developers, students, and researchers just like yourself learn Computer Vision, Deep Learning, and OpenCV.

Click here to browse my full catalog.

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You can learn Computer Vision, Deep Learning, and OpenCV.

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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.

Sanyam BhutaniMachine Learning Engineer and 2x Kaggle Master
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