Real-time LISA Traffic Sign Detection by YOLOv2
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Updated
Sep 9, 2017 - C
Real-time LISA Traffic Sign Detection by YOLOv2
A python wrapper to handle numpy arrays for YOLOV2.
Preservation of a fullstack demo of deep learning through mobile computer vision, processed in the cloud
Conversion of YOLOv2_tiny from Caffe to NCNN, and tested under NCNN
This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.
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)
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
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