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Single Image crowd counting using Multi-Column CNN.

This is unofficial and very simple implementation of the CVPR 2016 paper on crowd counting "Single-image crowd counting via multi-column convolutional neural network". Full code is developed on Tensorflow platform.

Installation

  1. Install Tensorflow
  2. Clone this repository
git clone https://github.com/aditya-vora/crowd_counting_tensorflow.git

  1. Download the dataset and keep it in the $ROOT/data folder

  2. The dataset can be downloaded from:

    Dropbox: https://www.dropbox.com/s/fipgjqxl7uj8hd5/ShanghaiTech.zip?dl=0

    Baidu Disk: http://pan.baidu.com/s/1nuAYslz

  3. Train the model using $ROOT/train.py

  4. Test the model

Note: More details about the results and some other code files for data parsing will be updated soon.

Citations:

[1] Zhang, Yingying, et al. "Single-image crowd counting via multi-column convolutional neural network." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.