[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
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Updated
May 16, 2024 - Python
[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
This machine learning project uses computer vision techniques to count the number of people entering and exiting a mall.
This repository performs crowd counting inference using a pre-trained ONNX model. Input an image to estimate head localization in crowded scenes.
Using transfer learning on pretrained image models to learn density map generation and count the number of people in an image.
Developed Counting Convolutional Neural Network (CCNN) for Crowd Counting- Deep Neural Network Course Project
SOFT-CSRNET : Counting people in drone video footage
A modified version of the LTE Scanner supporting RTL-SDR/HackRF/BladeRF and able to extract Channel State Information (CSI) from LTE signals.
A modified version of OpenLTE able to extract Channel State Information (CSI) from LTE signals.
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
The code for our ECCV 2020 paper: Estimating People Flows to Better Count Them in Crowded Scenes
Multi-level Attention Refined UNet for crowd counting
This is the implementation of paper "A Multi-Scale and Multi-level Feature Aggregation Network for Crowd Counting"
Single Image Crowd Counting via MCNN (Unofficial Implementation)
GCC dataset Collector and Labeler (GCC CL) [CVPR2019]
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