Deep Learning
PyTorch RCNN Tutorial: Dive into Object Detection with RCNN
In this tutorial, we will delve into the intricacies of object detection using RCNN (Region-based Convolutional Neural Networks). Object detection is a fundamental task in computer vision, pivotal for applications like autonomous driving, surveillance, and image analysis. RCNN stands out as a pioneering approach in this field, which uses deep neural networks. RCNN uses selective search algorithm for generating region proposals by merging similar pixels into regions. The regions got from this step were warped, resized and preprocessed then passed into a CNN which produces feature vectors these feature vectors are then used for classification and bounding box regression which result bounding boxes of objects and their classes.
