Augmented Reality with OpenCV and OpenGL: the tricky projection matrix

I've been working lately on computer vision projects, involving Tensorflow for deep learning, OpenCV for computer vision and OpenGL for computer graphics. I'm especially interested in hybrid approaches, where I mix deep learning stuff, opencv stuff, and classic OpenGL pipeline. The main idea is to avoid framing problems as black box problems, throw a neural … Continue reading Augmented Reality with OpenCV and OpenGL: the tricky projection matrix

The Virtues of Low-code Digital Transformation

When we speak of digital transformation, we have 2 kinds of considerations: strategic considerations (how tech can disrupt your business model), and operational considerations (how tech can streamline your operations). Here, we're going to speak about #2. I've been working lately with a large industrial corporation (1000s of employees) on a company-wide digital transformation effort. … Continue reading The Virtues of Low-code Digital Transformation

Building a Scalable React App with Next.js

For those who grew up in the 1990's, modern web development sometimes feels like massive overkill. It's now all about SPAs (single-page applications) with complex javascript frameworks, but let's be honest, does everybody actually need it? From an end-user perspective, for most use cases (corporate front-ends, forums etc), the old paradigm of static pages and … Continue reading Building a Scalable React App with Next.js

Trading Automation with Interactive Broker API, Python and Docker

Crypto trading has been all the rage over the past few years, and people tend to forget that there are many many more trading opportunities in the real world than in the crypto world. Unfortunately, the real world is often using outdated tech and it can be a real pain to finally manage to perform … Continue reading Trading Automation with Interactive Broker API, Python and Docker

State of the art (2019) face detection with RetinaFace and MXNet

Testing deep learning neural networks on public datasets is fun, but it's usually on unseen data that you can really see how the published techniques really perform. Recently, I was trying to detect human faces on Game of Thrones footage. I was surprised to see that the most widely used techniques didn't fare really well. … Continue reading State of the art (2019) face detection with RetinaFace and MXNet

Excel to Pandas to PostgreSQL: Data Science for Strategy Consulting

I've been lately regularly working with strategy consultancies, on data and AI matters. While corporate ambitions everywhere around data/AI are rising, when it comes to day-to-day operations, most of the data is still fragmented among many databases, and people use Excel sheets as exchange format. This in itself is interesting, because it means a corporate … Continue reading Excel to Pandas to PostgreSQL: Data Science for Strategy Consulting