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abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

ano_pred_cvpr2018

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

anomaly-detection

Dynamic anomaly detection in crowded scene videos using sparse autoencoders

anomaly-detection-1

Detect Anomaly in UCSD dataset with CNN Autoencoders and 2-layered LSTMs

anomalydetectioncvpr2018

auto-feature-extraction-method-for-e-tongue

cyc2018-cs-notes

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

flownet2.pytorch

Off-the-shelf FlowNet module in PyTorch-0.3.0

frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

interview_python

关于Python的面试题

isp

camera pipeline

learning-deep-features-for-one-class-classification

#Deep One class #Anomaly Detection

oc-nn

Repository for the One class neural networks paper

oc-nn-pytorch

openisp

Image Signal Processor

pytorch_ano_pre

Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.

rcnn

R-CNN: Regions with Convolutional Neural Network Features

rebar_detect

CCFDF rebar detection

vae-torch

Variational autoencoder for anomaly detection (in pytorch).