Qt VS OpenCV

Qt

Powerful, flexible and easy to use, Qt will help you not only meet your tight deadline, but also reduce the maintainable code by an astonishing percentage.

OpenCV

OpenCV is the world's biggest computer vision library

Landing page //
2023-10-22

Landing page //
2023-07-29

Review of Qt 5.4

OpenCV videos

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AI Courses by OpenCV.org

Category Popularity

0-100% (relative to Qt and OpenCV)

OpenCV

Development Tools

100 100%

Development Tools

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Rapid Application Development

100 100%

Rapid Application Development

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Qt and OpenCV. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Qt and OpenCV

Qt Reviews

Top 5 Flutter Alternatives for Cross-Platform Development

Qt is a versatile C++ framework known for its efficiency and flexibility. With Qt, developers can create cross-platform applications with native-like performance.

Source: www.miquido.com

Exploring 15 Powerful Flutter Alternatives

Qt is a mature, cross-platform native framework for building apps and devices using C++. Qt sees extensive use in embedded systems requiring slick UIs on low-power devices with limited memory. It compiles nearly identically to straight C++ while adding conveniences like signals and slots that feel akin to JavaScript event handling. But apps targeting desktops, servers, and...

Source: positiwise.medium.com

Best GUI frameworks for Go

Qt is a cross-platform application development framework widely used for developing desktop, mobile, and embedded systems. Qt provides a powerful, easy-to-use, and flexible C++ class library for building GUIs and other types of applications. Qt has a wide range of built-in widgets, including buttons, labels, list boxes, and more.

Source: blog.logrocket.com

10 Best Tools to Develop Cross-Platform Desktop Apps

Written in C++, this cross-platform framework is used for native embedded, desktop, and mobile applications using GUI widgets and quick modules using QML language. C++ is a backend and QML (QtQuick 2) is a frontend side. Its meta-object compiler runs before the build. Qt can be used in several programming languages like Python, JavaScript, and others due to language...

Source: www.westagilelabs.com

Top Cross-Platform App Development Frameworks

Qt is a pretty mature GUI and cross-platform app development framework that dates back to 1995. Developers can use Qt for crafting applications for mobiles, embedded platforms, or desktops. As Qt is based on C++, any developer with a decent C++ experience (pretty easily found) can help you craft a cross-platform app using Qt with a single codebase.

Source: www.pangea.ai

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024

From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.

Source: www.labellerr.com

10 Python Libraries for Computer Vision

OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.

Source: clouddevs.com

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing

OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...

Source: www.uubyte.com

Top 8 Image-Processing Python Libraries Used in Machine Learning

These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.

Source: neptune.ai

5 Ultimate Python Libraries for Image Processing

Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. 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.

Qt mentions (0)

We have not tracked any mentions of Qt yet. Tracking of Qt recommendations started around Mar 2021.

OpenCV mentions (51)

FridgeBot — GPT-4o shopping list automation
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 27 days ago
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
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
Looking for a Windows auto-clicker with conditions
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: 7 months ago
Looking to recreate a cool AI assistant project with free tools
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Looking to recreate a cool AI assistant project with free tools
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: 11 months ago