I’ve got a paper accepted to the IEEE Geoscience and Remote Sensing Letters. In this paper, we show that freely available crowdsourcing data can be used to accurately (97.11%) train robust deep learning models to perform satellite crosswalk classification on a global scale. Check out the GitHub repository.
In the beginning of this year, we had a paper accepted at IJCNN 2017 for oral presentation. In this project, I had the opportunity to work in collaboration with another lab (NINFA) in a real-world problem from the largest power company of our state. We had access to an amazing database of almost 1,000,000 people, and our goal was to improve the accuracy in the forecast of monthly energy consumption. More details about our deep learning approach can be found in the paper.
There are more than 150 color-space conversion methods available in OpenCV. It is very easy to convert from one to another. We’re going to see how to do that and how to see what these color-spaces and its channels looks like. Watch the video to see how to change color-spaces and split channels using OpenCV.
Qt is a “cross-plataform application and UI framework” that is being used for 800,000+ users. In this post we’re going to learn how to use OpenCV 3 on Qt 5.3 projects, so that you can create your applications with great UI features easier. If you remain with any doubt after reading this post, watch the video.
Smoothing, usually, plays a key role on preprocessing of images, but at the same time it can enhance your result, it can also mess it. Sometimes seen as a fail in the process, a bunch of algorithms runs better on blurred images and that’s why we’re going to see how it works on practice. Watch the video to see normalized box filter, gaussian blur, median blur and bilateral filter in action. Source code available.
In this article, we’re going to see how to use OpenCV with Eclipse. We’ll use their latest releases: OpenCV 3.0.0 alpha e Eclipse Luna for C/C++ Developers. We’ll pass from downloading Eclipse, by setting a project linked with OpenCV until the implementation of our program. Don’t forget to check out the video demonstration of this process at the end of this article.
In this article, we’ll see how to install the computer vision library OpenCV 3.0.0 alpha, latest release, released two months ago (Ago 21, 2014) , on Ubuntu 14.04 LTS (Trusty Tahr) 64 bits. For those who already have installed previous releases, you’ll see that, basically, nothing has changed and it’s as easy as always. Watch the demonstration video to see how it works.