Computer Vision and Deep Learning
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Updated
Apr 22, 2022 - Python
Computer Vision and Deep Learning
🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀
simple python program that counts objects in an image file
Object counting algorithm from image developed with python that does not use neural network
Code to count the number of objects detected using the picamera on the raspberry pi 3.
The implement code of BiAN.
It counts and classify objects in a video and saves the results to a csv file.
mmWave Cascade Object Counting
The Python Flask server publishes the processed video which detects and counts the people frame by frame with Yolo Model.
This project is an object detection and object counting tool built in Python. It uses computer vision techniques and deep learning models to detect objects in images and videos. The object detection is performed using the YOLO algorithm, and the object counting is done using OpenCV.
YOLOv5 Object Counter
This project is to re-identify person from multiple cameras
A sample project for super fast real time object detection and counting using CHOOCH AI API and OpenCV.
YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.
Counting number of Objects using Python-OpenCV
Region labeling based on Canny features and Bounding-box Intersection over Union (IoU).
University of Glasgow, MSc Project
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