guminov,github

anomaly-event-detection

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

anomaly_detection_iccv2019

Anomaly Detection in Video Sequence with Appearance-Motion Correspondence

audioplayer

Simple command line audioplayer for HiSilicon IPC

bias_free_denoising

Robust and Interpretable Blind Image Denoising via Bias-Free Convolutional Neural Networks

birds-eye-view

Obtain bird's eye view of a scene from a single input image

birdseye

Applying Perspective transformations to 2d images.

bsuv-net-inference

caffe-face

This branch is developed for deep face recognition

camera_motion_detection

Global motion estimation is basically performed to detect and extract camera motion, as being one of the most important tools in video processing field with many applications, is mainly carried out in pixel or compressed domain. Since those based on the pixels have drawbacks such as high computational complexity, most researches are oriented to the compressed domain in which motion vectors are utilized. On the other hand, there are many unwanted existing outliers in motion vector based global motion estimation because of noise or foreground effects. In this work, proposed motion vector dissimilarity measure is used to remove the outliers to provide fast and accurate motion vector based global motion estimation

camodet

Lightweight Simple CAmera MOtion DETection application.

cepdof_tools

Visualization and evaluation code for the CEPDOF dataset.

chart.js

Simple HTML5 Charts using the <canvas> tag

chartkick.js

Create beautiful charts with one line of JavaScript

charts

Simple, responsive, modern SVG Charts with zero dependencies

comm-ulp

ESP32 ULP talking to main core

coremlplayer

Try CoreML models on multiple images and videos easily and quickly

cracked-egg-detection

Computer Vision system to detect cracked eggs from a birds-eye view image of an egg tray.

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.