Classifying the age of a given person's face refers to the process of determining the age of a person based on the appearance of their face. Typically this is done by looking at the shape and size of facial features, wrinkles, blemishes, and other signs of ageing.
OpenCV (Open Source Computer Vision Library) is an open source machine learning and computer vision software library. OpenCV was designed for computational efficiency and strongly focused on real-time applications. It has many algorithms for image and video analysis, object detection, and machine learning.
Using openCV, you can use a pre-trained deep learning model to classify the age of a given person's face. By feeding an image of a face as input to the model, you can get an output that classifies the person's age in the image. This technique is often called age estimation and is used in various applications, from automatic identification to health monitoring.
Here is an example of classifying the age of a given person's face using OpenCV.
In this solution, we use the blobFromImage Function of the Opencv library
Follow the steps carefully to get the output easily.
- Install Jupyter Notebook on your computer.
- Open terminal and install the required libraries with following commands.
- Install opencv - pip install opencv.
- Copy the code using the "Copy" button above, and paste it into your IDE's Python file.
- Add the respective face image.
- Add a output line to print the age.
- Run the file to classify the age of the person.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "How to classify the age of a given person's face using OpenCV?" in kandi. You can try any such use case!
If you do not have OpenCV that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the OpenCV page in kandi.
You can search for any dependent library on kandi like OpenCV.
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Python 3.9.6
- The solution is tested on OpenCV-Python 18.104.22.168 version.
Using this solution, we are able to Classify the age of a given person's face using OpenCV library in Python with simple steps. This process also facilities an easy-to-use, hassle-free method to create a hands-on working version of code.