ZXing VS OpenCV
Compare ZXing VS OpenCV and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
ZXing
QR Droid
QuickMark
ConnectUpz
ZXing Decoder
MKH Barcode Reader
ZBar bar code reader
NeoReader
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
ZXing OpenCVBased on our record, OpenCV should be more popular than ZXing. It has been mentiond 51 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google. Source: about 1 year ago
This is using Excel, but it is still VBA, https://www.youtube.com/watch?v=NIFjw8z__dI they're utilizing a third-party library called ZXing which is available on GitHub https://github.com/zxing/zxing. Source: over 1 year ago
I'm sure it works, but thezxing github project appears in maintenance mode, so I'm not sure I should use it in a new project. Source: almost 2 years ago
PyXing (website here) is supposedly a Python port of the popular Java ZXing library, but the initial and only commit is 6 years old and the project has no readme or documentation whatsoever. Source: about 2 years ago
In previous article, we discussed how to construct a command-line barcode and QR code scanning application using Java and Dynamsoft Barcode Reader. In this article, we will create more fancy applications, such as a desktop GUI application and a web application. In addition, we will import ZXing SDK to make a comparison with Dynamsoft Barcode Reader. - Source: dev.to / about 2 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 15 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
QR Droid - QR Droid Zapper
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
QuickMark - QuickMark makes everything possible.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ConnectUpz - Helping service businesses to connect and grow your customer base by becoming part of of a larger ecosystem.
NumPy - NumPy is the fundamental package for scientific computing with Python