🚀 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!
🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
Vehicle Detection Using Deep Learning and YOLO Algorithm
This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
Vehicle counting using Pytorch
According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
detect the no of people every second entering building gate. #person-detection
A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2
实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)
Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.
Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)
Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.
A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.
Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.
YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.
Building a small demo system to detect and count vehicle using Streamlit framework
Vehicle counter using python opencv and dlib
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