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Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
All Algorithms implemented in Python
Multi-task face recognition framework based on PyTorch
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
The rep for the Crowd Counting paper accepted by CVPR 2018
code-visualization-pytorch
A PyTorch implementation of the YOLO v3 object detection algorithm
An open-source PyTorch code for crowd counting
Datasets, Transforms and Models specific to Computer Vision
A PyTorch Implementation of Single Shot MultiBox Detector
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
Single Image Crowd Counting via MCNN (Unofficial Implementation)
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
GCC dataset Collector and Labeler (GCC CL) [CVPR2019]
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].