Last year, Google released a publicly available dataset called Open Images V4 which contains 15.4M annotated bounding boxes for over 600 object categories. It has 1.9M images and is largest among all ...
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Deep Learning Based Text Detection Using OpenCV (C++/Python)
The common saying is, "A picture is worth a thousand words." In this post, we will take that literally and try to find the words in a picture! In an earlier post about Text Recognition, we discussed ...
Video Stabilization Using Point Feature Matching in OpenCV
Video Stabilization Example of Low-frequency camera motion in video Video stabilization refers to a family of methods used to reduce the effect of camera motion on the final video. The ...
Training YOLOV3: Deep Learning Based Custom Object Detection
YOLOv3 is one of the most popular real-time object detectors in Computer Vision. In our previous post, we shared how to use YOLOv3 in an OpenCV application. It was very well received, and many ...
Using OpenVINO with OpenCV
In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other ...
CPU Performance Comparison of OpenCV and other Deep Learning frameworks
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
