density-map

A collaborative list of awesome CryoEM (Cryo Electron Microscopy) resources.

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

Train a CSRNet for estimating a crowd distribution

This bundle provides ChimeraX command for recognizing ligands in cryoEM and X-ray crystallography maps using deep learning.

Official implementation of "Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images" presented in IWSSIP 2019

ResMap, Compute the local resolution of 3D density maps, (support python3 and maps in variant shape)

Estimate number and location of people in crowd image

Code for "Multi-Stream Networks and Ground-Truth Generation for Crowd Counting" presented in IJECES

This is a repo related to the vessel AIS data, including filtering tokenization and trip extraction.

"deep-individual-tracker" is a deep learning-based tracking method that takes into account the overlap of individuals to detect. This repository provides annotation, detection, trackers, and monitoring tools.

This repository implements naive density map to visualize high-dimension data.

人口与经济数据分析平台 — 整合联合国 WPP 人口数据与世界银行经济指标;提供多国对比可视化、多模型人口预测、XGBoost+SHAP 经济预测可解释性、GDP×人口×年份 3D 趋势曲面、人口密度 COG 栅格地图、账号体系/社区/后台管理,FastAPI 单端口 8000。

AI-powered smart city crowd management and dynamic bus dispatch system using CSRNet density map regression to monitor transit stop overcrowding and optimize public transportation.

Real-time crowd density estimation using CSRNet (VGG-16 + dilated CNN) on ShanghaiTech Part A & B. Includes adaptive Gaussian kernel density map generation, from-scratch training on M1 CPU, MPS inference, and a live video demo with heatmap overlay and running count graph. Part A MAE: 87.85 | Part B MAE: 21.12

Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.

The "Crime in Vancouver" Dash application provides users with an interactive visualization of crime data in Vancouver, British Columbia. Users can explore geographical and temporal patterns of various types of crimes across different neighborhoods, streets, seasons, and years.

Repository to preview, describe, and link to Tableau dashboard.

Workflow to study the distribution of tertiary lymphatic structures in the meninges of rodents

Density Map in R, OpenstreetMap