An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.
CVPR2023 Zero-shot Counting
Counting number of Objects using Python-OpenCV
A computer vision deep learning model to automatically count the number of rebars.
Use OpenCV to count the number of occurrences of an object such faces or bananas
The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6
PyTorch implementation of Class Agnostic Counting model
Count a particular kind of flower in an image by training our model on 10-15 images using class-agnostic-counting
Image Processing Mini Projects | Python, OpenCV, NumPy, Matplotlib
Counting Sheep without Sleep. This project utilizing YOLO and several image processing techniques to accurately track, count and segment sheep.
In this repo I am sharing a simple code for detecting and counting cars.
annotation environment for object counting
Image processing using various algorithms on openCV
Traditional Image Processing Techniques for Nailfold Capillary Detection: A project showcasing a non-ML/DL approach to detect and count nailfold capillaries, emphasizing the application of fundamental image analysis methods in medical diagnostics.
Go application used to walk a Go project and count the legitimate packages, structs, methods and functions.
This is the project to detect and count the number of cars in video
Project I did during 5th semester for course Introduction to image processing (Wprowadzenie do przetwarzania obrazów). Final MARPE was 0.5625%.
This work is an extension of the project https://github.com/ablanco1950/LicensePlate_Yolov8_Filters_PaddleOCR adding the possibility to detect the speed, tracking and counting cars
Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
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