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dronecrowd

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network

dupsampling

This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

easypr

An open source project for chinese plate recognition. It aims to be Easy, Flexible, and Accurate. Welcome to contribute your expertise !

easypr_win

An windows exe using EasyPR, get and try it!

event-detection-in-classroom

In this repository the events in the classroom like sit, stand, walk and fight are detected and labelled.

ex-chatgpt

Let ChatGPT truly learn how to go online and call APIs! 'EX-ChatGPT' can rival and even surpass NewBing

exponential-moving-average-normalization

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

extracting_optical_flow

Extracting Optical flow of videos using GPU

frame-level-anomalies-in-videos

Frame level anomaly detection on videos using auto-encoders

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

gcc-sfcn

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

geoproj

Blind Geometric Distortion Correction on Images Through Deep Learning

gitskill

git skill

gpu_flow

GPU based optical flow extraction in OpenCV

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

headcounter

This is a head counting software. Its aim is to be able to count the number of people present in a crowd, especially in protests, and provide an estimate as accurate as possible.

housepricepredictionkaggle

idla-person-reid

dlib implementation of the "Improved Deep Learning Architecture for Person Re-Identification"

image-feature-detection-using-phase-stretch-transform

PST or Phase Stretch Transform is an operator that finds features in an image. PST implemented using MATLAB here, takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

iou-tracker

Python implementation of the IOU Tracker

jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1/TX2.

kingmv.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ks_traffic_analyzer

The application for counting, classifying and measure the speed of vehicles based on a video.

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

learnmatch

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation

machine-learning-specialization

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

machine-learning-with-python

Machine Learning Implementations in Python

machinelearning

Machine Learning in Action（机器学习实战-笔记）

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making