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2018aicity_mcprl

abnormal-behavior-detection-based-on-optical-flow-features

CSC2515-University of Toronto. This project applied computer vision and mechine learning methods aimed to detect abnormal behaved object in crowd, by Hanwen Liang and Haohan Li.

abnormal-event-detection

The project is an OpenCV based C++ implementation of the paper 'Abnormal Event Detection at 150FPS in Matlab'

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

awesome-person-re-identification

Awesome person re-identification

awesome-reid-dataset

Collection of public available person re-identification datasets

awesome-video-anomaly-detection

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

deep-person-reid

Deep learning person re-identification in PyTorch.

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

dress

好耶 是女装

hello-world

这是我的第一个程序

keras-attention-mechanism

Attention mechanism Implementation for Keras.

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

multi-lane-detection

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

tutorials

机器学习相关教程