Found in 1 comment on Hacker News
mendeza · 2017-06-28 · Original thread
Here is a guide I have developed over 6 years when I dove into copmuter vision around 2011. My path has been self taught until recently I took a graduate course.

I started from wanting to develop AR apps during my undergrad, Here are the best resources I have found to date:

Computer Vision is very theoretical and experimental, so the more hands on, the better! My approach has been to go top-down, overview the landscape and slowly progress deeper.

Begin with the best library for CV in my opinion: OpenCV. The tutorials are amazing!

Python tutorials:

C++ tutorials:

Immerse yourself in these and build any apps you think of!

Then go into: pyimagesearch tutorials and,

tons of great tutorials to learn different topics of vision with coding walkthroughs. Understand the examples and rewrite applications.

Then Dive Deep:

Get the new OpenCV3 book, a nice deep overview of many topics in computer vision.

And watch this course on youtube:

I feel like then, you will have so much exposure that when you dive into formal classes and textbooks, you will really understand and be enlightened.

This was the general way I learned computer vision, and recently I completed a cv internship for . I was not hired for my formal knowledge, but they were impressed by all the various projects ive done and knowledge I had on many vision topics.

I also recently took a formal course of vision at Cornell:

All the assignments have starter code in python and opencv. This was an amazing class as it dove deep into 3D computer vision, which is so relevant to augmented reality!

Also, here is a link opencv examples for iOS:

here are links for opencv example for Android:

Hope this helps! Shoot me a dm if you or anyone has more questions!

Fresh book recommendations delivered straight to your inbox every Thursday.