There are 2 repositories under counting-objects topic.
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
annotation environment for object counting
Image processing using various algorithms on openCV
Image Processing Mini Projects | Python, OpenCV, NumPy, Matplotlib
In this repo I am sharing a simple code for detecting and counting cars.
This is the project to detect and count the number of cars in video
Go application used to walk a Go project and count the legitimate packages, structs, methods and functions.
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.
Counting Sheep without Sleep. This project utilizing YOLO and several image processing techniques to accurately track, count and segment sheep.
Project I did during 5th semester for course Introduction to image processing (Wprowadzenie do przetwarzania obrazów). Final MARPE was 0.5625%.
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
Foot Classification Project and Other Experiments with YOLOv8
Counting cars on highways in videos is conducted by using the pre-trained YOLO4 multiple object detection algorithm (which is a deep learning model) with OpenCV and the centroid tracking algorithm.
annotation environment for object counting
Sample WPF application presenting in an interactive way essential counting techniques from Combinatorics.