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crowd-density-estimation

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tajwarchy / crowd-density-estimation-csrnet

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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

python computer-vision deep-learning surveillance heatmap pytorch vgg16 density-map smart-city gaussian-kernel video-analytics shanghaitech crowd-counting csrnet dilated-convolutions crowd-density-estimation
  • Updated Apr 17, 2026
  • Python

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