Height Detection Model 📏

Overview

"Height Detection Model" is an application that leverages computer vision and pose estimation technologies to measure human height using a standard webcam. This project combines OpenCV for image processing and MediaPipe for accurate pose estimation, providing a non-intrusive way to measure height digitally.

To estimate distance and set a calibration factor, a depth estimation model must be used.
In this case, we are using Depth-anything, an open-source Hugging Face model.

Features

• Real-time height measurement using a webcam.
• Automated voice instructions for user guidance.
• Calibration using a reference image with a known distance.

Demo

Check out the demonstration of the project on YouTube to see how it works in action: Output Video.

Prerequisites

Ensure your system meets the following requirements:

• Python 3.x
• Webcam or any standard camera compatible with OpenCV.

Installation

Clone the Repository

git clone https://github.com/zamalali/Height-Detection.git
cd Height-Detection

Setup

Before running the application, you need to capture a reference image (Ref_image.jpg) of a person standing at a known distance from the camera. This image is crucial for the algorithm to calibrate and accurately measure heights by comparison.

• Capture Reference Image: Take a photo of a person standing at a precisely measured distance from the camera. Ensure the full body is visible and positioned centrally in the frame.
• Save Reference Image: Name this image Ref_image.jpg and save it in the project directory.

Usage

To start the application, run the ex.py script:

python ex.py