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# Category: Other

### OpenCV #012 Discrete Fourier Transform, Part 2

Highlights: In the previous post,  we learnt some fundamental details about the Fourier transform and why it’s worth learning. We also showed how to transform an image into its frequency domain. I recommend you read about it here if you haven’t. In this section, we would focus on filtering in the frequency domain. We would see the effects of applying a low and high pass filter. Almost all natural images have similar power spectrum Tutorial…

### #OD1 YOLO Object Detection

YOU ONLY LOOK ONCE Highlights: In this post we will learn about the YOLO Object Detection system, and how to implement such a system with Keras. About Yolo: Our unified architecture is extremely fast. Our base YOLO model processes imagesin real-time at 45 frames per second. A smaller version of the network, Fast YOLO,processes an astounding 155 frames per second … — You Only Look Once: Unified, Real-Time Object Detection, 2015 Tutorial Overview: This post…

### CamCal 004 What does R look like?

Highlights: In this post we will continue working on camera calibration, and we will take a detailed look how does $$R$$ look like. If you don’t remember what is $$R$$, that is a rotation operator. Tutorial Overview: Intro Example: Rotation About Z-Axis Rotation in Homogeneous Coordinates Rigid Transformation 1. Intro There are two ways to think about this rotation operator. First, we will think in a hard way. $$_{A}^{B}\textrm{R}$$ expresses how each…