The future of computer vision and machine learning is toward edge devices. This is why C++ matters. Following my previous post on simple and general tips to optimize C++ codes, I decided to explain further tips that are specified for implementing computer vision algorithms.

The first time I heared its name was 3 years ago in a robotic course. It seemed to be a big complex stuff for me which I tried to escape as much as I could. Soon after building the first ROS application, my interest in it increased such a way that I like to ROS-ify […]

QR codes can store different types of data. Recently, I was involved in a project that a robot had to detect and decode pre-installed QR codes to refine its position. This post explains how I got 10 FPS performance on a Raspberry Pi Zero.

My master thesis was to design and implement a camera-based system for localization of a six-wheeled robot. The computer was a Raspberry Pi 3 which took me a lot of effort to achieve a reasonable performance. This post explains how I got 8-10 FPS localization on KITTI dataset.

When I was coding in Matlab, there were some techniques to boost the execution time. Predefining the matrix size, using vectorization and importing C codes via Matlab Executable (.MEX) files were some of the well-known solutions. Similar solutions exist for Python codes. But the story is somewhat different with C++. This comes from the fact […]