This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

Real-time LISA Traffic Sign Detection by YOLOv2

Conversion of YOLOv2_tiny from Caffe to NCNN, and tested under NCNN

Mice object detection and real time processing which aided in the experiments in "Correlated Neural Activity and Encoding of Behavior Across Brains of Socially Interacting Animals" (Cell 2019)

YOLO-Deployment-in-c-language

Real-time Fighter Plane Detector with YOLO

Preservation of a fullstack demo of deep learning through mobile computer vision, processed in the cloud

A python wrapper to handle numpy arrays for YOLOV2.

Convolutional Neural Networks