(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
Crowd counting and behavior analysis web app using PyTorch (CSRNet) with a Flask-based frontend.
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.
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
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
Repo for computer vision dataset of trees around the London area
CPU-efficient crowd counting: a reproducible study of how INT8 quantization and input resolution trade off accuracy against latency, using CSRNet and ONNX Runtime
Reproducible PyTorch implementation of CSRNet for crowd counting and density map estimation
Single-Image Crowd Counting - Computer Vision Project
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