Official implementation of PointBeV: A Sparse Approach to BeV Predictions

This mainly focus on the perspective transform of an image using Opencv

Project Idea is to train an object detection model which can detect humans in a video and results in all the bounding boxes with humans upon which I have calculated the distance between boxes. Bounding boxes in closer than a threshold value are classified with different color. Also created Bird's eye view using which we can avoid overlapping.

This tool has four features, which are detecting humans in the frame using deep learning algorithms (faster-rcnn and yolo), calculating the distance between every human who is detected in the frame (scale factor and homography), showing how many people are at high, low and not at risk and generating notifications to warn if anyone is found viola…