gjy3035/C-3-Framework
An open-source PyTorch code for crowd counting
Provides standardized benchmarking across six mainstream crowd-counting datasets (GCC, UCF-QNRF, ShanghaiTech, WorldExpo'10, UCF_CC_50, UCSD) with solid baseline implementations of classic architectures (VGG, ResNet, CSRNet, SANet). Features automatic experiment reproducibility through code snapshots saved with each run and TensorBoard integration for loss visualization. Built on PyTorch with support for both ImageNet pretrained models and end-to-end density map regression training.
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Last pushed
Mar 30, 2024
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