Learn Computer Vision by Uploading Images & Videos to This App
Marco Franzon will show you the basics.
Ever wondered how computer vision works? Marco Franzon will teach you the basics with his impressive web app, which allows you to upload an image or video stream and instantly see it as a numerical pixel matrix, "with options to display values in RGB, Hex, or Grayscale formats."
The app offers a simple way of understanding how technology "views" images. It features predefined convolution kernels applied in real-time:
- Sobel operator for edge detection (computes gradients to highlight boundaries).
- Gaussian Blur, which averages neighboring pixels with weights to reduce noise.
- Sharpen: it boosts local contrast to enhance details.
"This setup clearly visualizes how images are represented as matrices or tensors, how convolution slides kernels across pixels, and how operations like gradient computation, blurring, or sharpening modify the data step-by-step."
Franzon wants to use such demos in his upcoming computer vision course to build intuition for fundamental image processing concepts, OpenCV filters, and CNN building blocks.
To him, computer vision is not just about seeing images, "it’s about understanding the world."
He will share the repository soon, so you should check out his X/Twitter for more information.
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