(ECCV 2020) Conditional Sequential Modulation for Efficient Global Image Retouching
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Updated
Sep 28, 2020 - Python
(ECCV 2020) Conditional Sequential Modulation for Efficient Global Image Retouching
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
SOFT-CSRNET : Counting people in drone video footage
An unofficial implementation of CSRNet for crowd counting.
Real-time crowd density estimation & interactive flow simulation powered by CSRNet. Trained on ShanghaiTech and custom Indian crowd datasets with FastAPI & Vite.
Train a CSRNet for estimating a crowd distribution
Implement CSRnet for counting vehicle traffic
A deep learning project implementing CSRNet for accurate people counting in highly congested scenes, based on the architecture described in the CSRNet paper.
Keras based implementation of the CSRNET model
Real-time crowd intelligence platform — YOLOv8 + CSRNet + multi-horizon LSTM risk forecasting
Crowd counting and behavior analysis web app using PyTorch (CSRNet) with a Flask-based frontend.
A Django web application providing real-time crowd counting and density heatmap overlay streaming using pre-trained CSRNet models.
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
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.
Single-Image Crowd Counting - Computer Vision Project
Reproducible PyTorch implementation of CSRNet for crowd counting and density map estimation
Real-time crowd density monitoring with forecasting and adaptive YOLO/CSRNet fusion, with empirical evaluation
PyTorch training and evaluation framework for crowd counting density estimation models (CSRNet, resSFCN, MCNN) on standard and custom datasets.
Repo for computer vision dataset of trees around the London area
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