🚀 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!
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Updated
Sep 12, 2021 - Python
🚀 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.
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
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
Cumulative object counting with Tensorflow 2
Project to train/evaluate convolutional neural networks to count cars from COWC aerial images
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.
YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.
Real-Time Object Detection, Tracking, Blurring and Counting using YOLOv8
Heatmap Learner Convolutional Neural Network for Object Counting and Localization
Code for reproducing IS-Count: Large-scale Object Counting with Importance Sampling (AAAI 2022)
Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"
Object counting with Yolov7.
Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.
A sample project for super fast real time object detection and counting using CHOOCH AI API and OpenCV.
Publication of our Oktoberfest Food Dataset for Object Detection methods
OpenCv based live vechicle counting system written in C.
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