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Tikam02 / CrowdEstimation

Crowd Density Estimation Using - DeepLearning
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deep-neural-networks

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Crowd-Density Estimation(Crowd-Count)

Research Paper Implemented

  • CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
  • Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
  • CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting

    • About The Project

    In this Project my main aim was to learn and implement machine learning and deep learning in real life.I started from scratch with only knowledge of python, then i learnt Machine Learning made some programs and then move forward to deep learning with Crowd-Density Estimation Project. The project assigned to me was - That is counting the number of peoples in the crowd and make a ​ Crowd Density Estimation ​ deep learning model to predict in the real life crowd so that when a threshold of crowd will reach the application will give alert to that specific area of crowd.

    Codes

  • CCMTL
  • CSRNet

    • How to run codes are provided in respective directories of code

    Frameworks Used

    Deep-learning Frameworks Tensorflow Keras Pytorch Caffe Coding Environment and Editor

  • Jupyter Notebook
  • Python 3m
  • Python 2m - CSRNet
  • GPU
  • GPU-NVIDIA-950M

    • Dataset Used and Optimized Predictions Values

    Shanghaitech Crowd-Dataset

    ScreenShot

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