项目作者： Tikam02
项目描述 ：
Crowd Density Estimation Using - DeepLearning
高级语言： Jupyter Notebook
项目地址: git://github.com/Tikam02/CrowdEstimation.git
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
