gjy3035/C-3-Framework
A PyTorch development framework for supervised crowd counting using deep neural networks.

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This is an open-source framework for crowd counting, a computer vision regression task that estimates the number of people in images or video frames. It provides baseline implementations of classic CNN architectures (AlexNet, VGG, ResNet) and supports six mainstream datasets for evaluation. The framework includes training pipelines, loss logging, TensorBoard visualization, and experiment reproducibility features.