OpenCV dnn module supports running inference on pre-trained deep learning models from popular frameworks like Caffe, Torch and TensorFlow. When it comes to object detection, popular detection ...

In this guide we will walk through all the steps needed to set up our machine so we can then apply real-time object detection using deep learning and OpenCV to work with video streams and video files.

Using OpenCV, this research compares the performance of deep learning with standard computer vision approaches for detecting object in photos and videos. Recognizing and localizing objects inside an ...

Deep tech Here’s how deep learning helps computers detect objects From autonomous driving to healthcare, object detection is used for many things June 28, 2021 - 2:27 pm ...

AI and Deep Learning for computer vision projects has come to the masses. This can be attributed partly to the community projects that help ease the pain for newbies. [Abhishek] contributes one su… ...

These parameter-varied simulations are used to train sensitive 2D CNN object detectors. When combined with 1D histogram peak detection algorithms, this multi-modal detection framework is highly adept ...

Object Detection using OpenCV and Deep Learning Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices ...