36 Repositories
Python crowd-counting Libraries
APEACH: Attacking Pejorative Expressions with Analysis on Crowd-generated Hate Speech Evaluation Datasets
APEACH - Korean Hate Speech Evaluation Datasets APEACH is the first crowd-generated Korean evaluation dataset for hate speech detection. Sentences of
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
DRNet for Video Indvidual Counting (CVPR 2022) Introduction This is the official PyTorch implementation of paper: DR.VIC: Decomposition and Reasoning
Crowd-Kit is a powerful Python library that implements commonly-used aggregation methods for crowdsourced annotation and offers the relevant metrics and datasets
Crowd-Kit: Computational Quality Control for Crowdsourcing Documentation Crowd-Kit is a powerful Python library that implements commonly-used aggregat
Create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
Program Design Purpose: We want to create an application to visualize single/multiple Xandar Kardian people counting sensors detection result for a indoor area.
DCSL - Generalizable Crowd Counting via Diverse Context Style Learning
DCSL Generalizable Crowd Counting via Diverse Context Style Learning Requirement
The repository includes the code for training cell counting applications. (Keras + Tensorflow)
cell_counting_v2 The repository includes the code for training cell counting applications. (Keras + Tensorflow) Dataset can be downloaded here : http:
Crowd sourced training data for Rasa NLU models
NLU Training Data Crowd-sourced training data for the development and testing of Rasa NLU models. If you're interested in grabbing some data feel free
Notebooks for computing approximations to the prime counting function using Riemann's formula.
Notebooks for computing approximations to the prime counting function using Riemann's formula.
Various operations like path tracking, counting, etc by using yolov5
Object-tracing-with-YOLOv5 Various operations like path tracking, counting, etc by using yolov5
Source Code for AAAI 2022 paper "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching"
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching This repository is an official implementation of
Source Code for AAAI 2022 paper "Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching"
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching This repository is an official implementation of
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.
Head Detector Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd. The head_detection mod
Crowd-sourced Annotation of Human Motion.
Motion Annotation Tool Live: https://motion-annotation.humanoids.kit.edu Paper: The KIT Motion-Language Dataset Installation Start by installing all P
A model that attempts to learn and benefit from data collected on card counting.
A model that attempts to learn and benefit from data collected on card counting. A decision tree like model is built to win more often than loose and increase the bet of the player appropriately to come out winning as much money as possible.
Code for Crowd counting via unsupervised cross-domain feature adaptation.
CDFA-pytorch Code for Unsupervised crowd counting via cross-domain feature adaptation. Pre-trained models Google Drive Baidu Cloud : t4qc Environment
A Bot, which observes your counting-abilities and controls your drinking-habits, too!
Discord Counting Bot with Beer-Counter Heavily inspired by AlexVerricos Counting_bot, but adjusted a lot for the beer drinking habits of students. Inv
ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'
ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'
Real time Human Detection Counting
In this python project, we are going to build the Human Detection and Counting System through Webcam or you can give your own video or images. This is a deep learning project on computer vision, which will help you to master the concepts and make you an expert in the field of Data Science. Let’s build an exciting project.
The official codes for the ICCV2021 presentation "Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting"
UEPNet (ICCV2021 Poster Presentation) This repository contains codes for the official implementation in PyTorch of UEPNet as described in Uniformity i
Python package for reference counting native pointers
refcount master: testing: This package is primarily for managing resources in native libraries, written for instance in C++, from Python. While it boi
A solution to ensure Crowd Management with Contactless and Safe systems.
CovidTrack A Solution to ensure Crowd Management with Contactless and Safe systems. ML Model Mask Detection Social Distancing Detection Analytics Page
The official codes for the ICCV2021 Oral presentation "Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework"
P2PNet (ICCV2021 Oral Presentation) This repository contains codes for the official implementation in PyTorch of P2PNet as described in Rethinking Cou
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
LWCC: A LightWeight Crowd Counting library for Python LWCC is a lightweight crowd counting framework for Python. It wraps four state-of-the-art models
Vehicles Counting using YOLOv4 + DeepSORT + Flask + Ngrok
A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting (ICCV, 2021)
DKPNet ICCV 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting Baseline of DKPNet is availa
Official PyTorch implementation of the paper: Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting.
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Official PyTorch implementation of the paper: Improving Graph Neural Net
Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.
Head Detector Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd. The head_detection mod
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
LibraNet This repository includes the official implementation of LibraNet for crowd counting, presented in our paper: Weighing Counts: Sequential Crow
Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”
RGBT Crowd Counting Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin. "Cross-Modal Collaborative Representation Learning and a L
PED: DETR for Crowd Pedestrian Detection
PED: DETR for Crowd Pedestrian Detection Code for PED: DETR For (Crowd) Pedestrian Detection Paper PED: DETR for Crowd Pedestrian Detection Installati
Code for PED: DETR For (Crowd) Pedestrian Detection
Code for PED: DETR For (Crowd) Pedestrian Detection
pyprobables is a pure-python library for probabilistic data structures
pyprobables is a pure-python library for probabilistic data structures. The goal is to provide the developer with a pure-python implementation of common probabilistic data-structures to use in their work.
An OpenSource crowd-sourced cooking recipes website
An OpenSource crowd-sourced cooking recipes website
Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.
MaskCam MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
IIM - Crowd Localization This repo is the official implementation of paper: Learning Independent Instance Maps for Crowd Localization. The code is dev
Baselines for TrajNet++
TrajNet++ : The Trajectory Forecasting Framework PyTorch implementation of Human Trajectory Forecasting in Crowds: A Deep Learning Perspective TrajNet