Here's the PowerPoint slide data using only the first and second responses (which covered Figma REST API accessible data and a categorized API list): --- 🎯 Slide 1: Title Slide Title: Accessing Figma Data via REST API Subtitle: What’s Possible and What’s Not with Figma’s API --- ✅ Slide 2: What You Can Access via Figma REST API File & Design Data (Read-only): File metadata (name, modified date, version) Document structure (pages, frames, groups, nodes) Colors, fonts, layout, vectors, strokes, effects Local & team components Export images (PNG, JPG, SVG, PDF) Comments (read, post, resolve) Version history Project and team data (for Org accounts) --- ❌ Slide 3: What You Cannot Access via API Limitations: No write/edit of nodes or layout Cannot simulate or control prototypes No real-time collaboration info (like cursors) No plugin execution Cannot access plugin-specific or private data No access to interactions/animations execution --- 🌐 Slide 4: Key API Endpoints Purpose E...
OpenCV - Overview OpenCV is a cross-platform library using which we can develop real-time computer vision applications . It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. Let’s start the chapter by defining the term "Computer Vision". Computer Vision Computer Vision can be defined as a discipline that explains how to reconstruct, interrupt, and understand a 3D scene from its 2D images, in terms of the properties of the structure present in the scene. It deals with modeling and replicating human vision using computer software and hardware. Computer Vision overlaps significantly with the following fields − Image Processing − It focuses on image manipulation. Pattern Recognition − It explains various techniques to classify patterns. Photogrammetry − It is concerned with obtaining accurate measurements from images. Computer Vision Vs Image Processing Image processing deals with image-t...
Perfect! ✅ Let's replace Microsoft.Office.Interop.Excel with EPPlus , which: Doesn't require Microsoft Excel to be installed. Is much faster and more stable for server/desktop apps. 🔧 Updated Requirements Read 2 Excel files . In File 1 , "Icon Tracker" sheet → get Column M values. In File 2 , "ICON management" sheet → get Column G values. If value in Column M is not in Column G , write "Icon not present in management Sheet" in Column N . Use EPPlus (works on .xlsx only). 📦 Install EPPlus via NuGet Run this in the NuGet Package Manager: Install-Package EPPlus 🧠 Updated ExcelService.cs using EPPlus using OfficeOpenXml; using System.Collections.Generic; using System.IO; namespace WpfIconCheckerApp.Models { public class ExcelService { public static string CompareExcelFiles(string file1Path, string file2Path) { ExcelPackage.LicenseContext = LicenseContext.NonCommercial; try ...
Comments
Post a Comment