Python Deep Learning Projects

Object Detection In Real-Time Using YOLOv2

A great advancement in object detection and classification was made possible with a process where You Only Look Once (YOLO) at an input image. In this single pass, the goal is to set the coordinates for the corners of the bounding box to be drawn around the detected object and to then classify the object with a regression model. This process is capable of avoiding false positives because it takes into account contextual information from the whole image, and not just a smaller section as in a regional proposal of earlier described methods. The convolutional neural network (CNN) as follows can pass over the image once, and therefore be fast enough to function in applications where real-time processing ...