flutter_barcode_sdk VS opencv-python

Define a BarcodeResult class based on https://github.com/yushulx/flutter_barcode_sdk/blob/main/lib/dynamsoft_barcode.dart.

Microsoft Power Automate is a powerful service designed to automate workflows between various apps and services. Its Desktop version provides the added capability of automating desktop-centric operations, with or without user interface interactions. In this article, we will explore how to integrate Dynamsoft Barcode Reader, Dynamsoft Document Normalizer, and Dynamsoft Label Recognizer into a web service using Flask. By leveraging this web API, we can seamlessly invoke these Dynamsoft tools within Power Automate for Desktop. This enables you to transform the created flow into a convenient desktop application that significantly enhances your daily work efficiency.

BarcodeQRCodeSDK: A .NET wrapper for Dynamsoft Barcode Reader SDK. It is used to detect 1D and 2D barcodes in camera frames.

.NET Multi-platform App UI (MAUI) is a cross-platform UI framework for building native and modern applications in C#. It allows developers to create a single codebase for multiple platforms. Blazor is a web UI framework for building interactive client-side web applications with .NET. It allows developers to write C# code that runs in the browser through the use of WebAssembly. When used together, .NET MAUI and Blazor provide a powerful combination for building cross-platform applications that can run on multiple platforms, including desktop, web, and mobile. In this article, we will demonstrate how to create a Blazor Hybrid app with Dynamsoft Barcode SDK. The app will be able to scan linear and two-dimensional barcodes on Windows, macOS, iOS, and Android.

Dynamsoft Barcode Reader SDK: Dynamsoft Barcode Reader SDK is a cross-platform barcode recognition SDK that can be used to recognize 1D and 2D barcodes in images. In this solution, Dynamsoft Barcode Reader SDK is used to recognize barcodes in images captured by the smartphone camera.

Node-RED is a flow-based programming tool built-on Node.js. It provides a browser-based editor that helps users create awesome applications by wiring different nodes. This article shares how to build a barcode QR reading node with Dynamsoft Barcode Reader.

Download Dynamsoft Barcode Reader SDK:

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!

There are several modules that would allow you to process images in Python. Two of the perhaps most famous ones are PIL (https://pypi.org/project/Pillow/, also known as pillow), and opencv (https://pypi.org/project/opencv-python/).

Classifying images with trained model by using OpenCV and Teachable Machine packages

opencv-python: OpenCV for Python

Tool: Data collected using Python opencv, and a rudimentary OCR built from scratch. Graphic created with Microsoft Excel.

cv2: https://pypi.org/project/opencv-python/

I would try installing opencv-python on its own to see if you can learn more: https://pypi.org/project/opencv-python/

I've been googling and reading for a while but I'm very unsure about which tools I need, which tools will help me achieve what I want the easiest way. What about (pylivestream)[https://pypi.org/project/pylivestream/] for example? Will this do the job for me? What about a lower level approach including (pyopencv)[https://pypi.org/project/opencv-python/]? What about a higher level approach using (vidgear)[https://github.com/abhiTronix/vidgear], which seems promising but I don't feel confident in assessing if it's the tool I really need?

This is likely to be buggy and frustrating, and it's very likely that you'll need to use OpenCV to preprocess the screenshot. Not my idea of a good time!