[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

Video-based object counting software.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020

Distance Detector (People) with Yolov7

Few-shot Object Counting and Detection (ECCV 2022)

[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More

ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

This repository contains the code for an object detection, tracking and counting project using the YOLOv8 object detection algorithm and the SORT (Simple Online and Realtime Tracking) algorithm for object tracking. The project has been implemented using object-oriented programming principles in Python.

Project to train/evaluate convolutional neural networks to count cars from COWC aerial images

Real-Time Object Detection, Tracking, Blurring and Counting using YOLOv8

Cumulative object counting with Tensorflow 2

Heatmap Learner Convolutional Neural Network for Object Counting and Localization

Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.

YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

This repository showcases the utilization of the YOLOv8 algorithm for custom object detection and demonstrates how to leverage my pre-developed modules for object tracking and counting tasks.

Publication of our Oktoberfest Food Dataset for Object Detection methods

Code for reproducing IS-Count: Large-scale Object Counting with Importance Sampling (AAAI 2022)