Meet Venkatesh Kumar Raju, a Geospatial Analyst at SeaMount Geospatial LLC, hailing from Chennai, India. Venkatesh is a bright young engineering graduate and the son of a hardworking farmer. The Transformation Journey After completing his engineering degree in 2023, Venkatesh faced a tricky question: What’s next? Although he had technical knowledge, he felt unprepared for […]
Advanced MLOps Interview Guide: Mastering Key Concepts for Technical Success
As MLOps becomes an integral part of more businesses, the demand for professionals who can proficiently manage, deploy, and scale machine learning operations is growing rapidly. This guide is for those who have experience in MLOps and are preparing for technical interviews aimed at mid-level to senior positions. It explores advanced interview questions deep into […]
Networking and Skill Enhancement for Computer Vision Professionals
Introduction Networking is crucial for anyone in the computer vision field, facilitating opportunities for collaboration, career advancement, and staying current with technological advancements. Key networking platforms include LinkedIn, specialized forums, and major conferences. 1. Leveraging Online Professional Networks LinkedIn Groups Joining LinkedIn groups tailored to your interests in computer vision and related fields can greatly […]
Evaluating OpenCV’s new RANSACs
Spoiler: They’re much better now! OpenCV RANSAC is dead. Long live the OpenCV USAC! Last year a group of researchers including myself from UBC, Google, CTU in Prague and EPFL published a paper “Image Matching across Wide Baselines: From Paper to Practice“, which, among other messages, has shown that OpenCV RANSAC for fundamental matrix estimation […]
Utilising Second-Order Information for Deep Image Retrieval
Tony Ng is a Ph.D. student at MatchLab, Imperial College London. He is supervised by Dr. Krystian Mikolajczyk and co-supervised by Dr. Vassileios Balntas. His research interests focus on improving visual localisation using both deep learning and classical multiview geometry. Image retrieval is a long-standing computer vision problem. It is used in image indexing, e.g. […]
OpenCV-Python Is Now An Official OpenCV Project
Good news, everyone! OpenCV.org is pleased to announce that the popular and long-running package OpenCV-Python is now an official OpenCV project. What is OpenCV-Python? It’s a package that contains pre-built OpenCV with dependencies and Python bindings, so there’s no need to install OpenCV separately. Thanks so much to package maintainer Olli-Pekka Heinisuo (@skvark), who developed […]
OpenVINO: Merging Pre and Post-processing into the model
We have already discussed several ways to convert your DL model into OpenVINO in previous blogs (PyTorch and TensorFlow). Let’s try something more advanced now.
Interview with Daniel Cremers in the new episode of OpenCV AI for Entrepreneurs podcast
In this week’s episode of the AI for Entrepreneurs, Anna Petrovicheva, CTO of OpenCV.AI, is talking to Daniel Cremers, Professor of Informatics and Mathematics and Chair of Computer Vision & Artificial Intelligence at the Technische Universität Münche and one of the most influential scientists in Germany. It is a fascinating conversation about Daniel’s career path […]
Google Summer of Code results in one video!
This year it was the 10th time when OpenCV participated in Google Summer of Code program (GSoC 2020), and it went really well! GSoC is an international program organized and sponsored by Google. It’s aimed at supporting students development and advancing various open-source projects. In 2020 OpenCV got funding for 14 projects. For three months, […]
OpenCV unveils new podcast episode
In this week’s episode of the AI for Entrepreneurs podcast Anna Petrovicheva is talking to Loic Lietar, co-founder of GreenWaves Technologies
SuperAnnotate Desktop
The fastest image and video annotation software
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Kornia team is releasing a new version that includes different functionalities to work with 3D augmentations and volumetric data, local features matching, homographies and epipolar geometry
