Computer vision basics in Excel, using just formulas (github.com)

Article summary

The article presents a unique approach to explaining computer vision basics using Microsoft Excel formulas, allowing readers to visualize and understand complex concepts in a simple and interactive way. The authors demonstrate how to detect faces, find edges and lines, and perform character recognition using only Excel formulas. The technique is not recommended for actual work or research but serves as a helpful educational tool. The article also discusses the limitations and potential applications of this approach.

Main themes

• Computer Vision
• Excel Formulas
• Educational Tools
• Scalability
• Software Development
• Spreadsheets
• Performance Optimization
• Interoperability

What commenters say

• Some commenters praise the innovative use of Excel for explaining complex computer vision concepts in an accessible way.
• Others argue that while Excel can be a powerful tool, it is not suitable for large-scale or complex applications due to scalability issues.
• There is a disagreement about the value of replacing Excel-based processes with custom applications, with some arguing that it can lead to more polished but expensive and slower-to-iterate solutions.
• A few commenters note that Excel's performance and scalability issues can be mitigated with proper design and optimization techniques, such as refactoring and using named ranges.
• Some discuss the challenges of working with Excel files in non-Microsoft environments, such as LibreOffice, due to compatibility and performance issues.
• The use of Excel for critical applications, such as process control, is criticized due to its lack of suitability for such tasks.
• There is a recognition that Excel has enabled a wide range of users to develop applications and solutions, even if they are not traditional software developers.
• The importance of understanding the limitations and potential risks of using Excel, such as data corruption or calculation errors, is emphasized.