opencv-python VS python-mrz-scanner-sdk

Extra stuff like type checking and annotations are definitely not the reason why python became that popular and widely adapted and used, but it certainly doesn't hurt to add and use them.

To be clear, I'm not expecting people to start adding generics to their quick hacked together Python scripts (in fact please don't do that). Instead, if you're building a library or maintaining a larger Python codebase, a lot of these start becoming very useful. A lot of the typing features I mentioned are already used by Python under the hood, and that a lot of Python developers just take for granted.

Case in point, the python-opencv (https://github.com/opencv/opencv-python) library has basically no types and it's an absolute pain to work with.

BTW thats a really good SO thread, thanks for linking it!

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!

Referencing the previous document detection and MRZ recognition examples, the following code can be used to read barcodes from static images:

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.

This article aims to build a Node.js module to recognize MRZ from passport, ID card, and travel documents on Windows and Linux. The module is implemented based on Dynamsoft C++ OCR SDK.