Compare SVG++ vs OpenCV and see what are their differences.


C++ SVG library (by svgpp)


Open Source Computer Vision Library (by opencv)
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SVG++ OpenCV
2 187
495 71,271
- 1.4%
0.0 9.6
22 days ago about 21 hours ago
C++ C++
Boost Software License 1.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of SVG++. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-06.
  • Plain Text. With Lines
    12 projects | | 6 Jun 2022
    Congratulations, now you replaced a trivial file format that (from a quick glance at the code) needed about ~35 of easily readable and self-contained Lua code to parse with an external dependency that would be much larger and harder to follow and either having (at least) an XML parser as its own dependency or implementing its own XML parsing, as well as being at the mercy of their developers. Also unless you are using some highly popular library, you may end up with some abandoned dependency.

    Examples of both are at [0] (C++ based parser, you'd also need to write some bindings for lua) and [1] (Lua based parser for a subset of the format, abandoned for almost a decade).

    There are times when using an external dependency might be a good idea, but a text-based file format that describes lines and can be implemented in a few lines of code is not one.




Posts with mentions or reviews of OpenCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-20.
  • VidCutter: A program for lossless video cutting
    5 projects | | 20 Aug 2023
  • Looking to recreate a cool AI assistant project with free tools
    3 projects | /r/selfhosted | 2 Aug 2023
    - [ OpenCV]( instead of YoloV8 for computer vision and object detection
    3 projects | /r/techsupport | 2 Aug 2023
    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 way to implement it using free, open-source software. Here's what he used originally, followed by some open source candidates I'm considering but would love feedback and advice before starting: Original Tools: - YoloV8 does the heavy lifting with the object detection - OpenAI Whisper handles voice - GPT-4 handles the “AI” - Google Custom Search Engine handles web browsing - MacOS/iOS handles streaming the video from my iPhone to my Mac - Python for the rest Open Source Alternatives: - [ OpenCV]( instead of YoloV8 for computer vision and object detection - Replacing GPT-4 is still a challenge as I know there are some good open-source LLms like Llama 2, but I don't know how to apply this in the code perhaps in the form of api - [DeepSpeech]( rather than Whisper for offline speech-to-text - [Coqui TTS]( instead of Whisper for text-to-speech - Browser automation with [Selenium]( instead of Google Custom Search - Stream video from phone via RTSP instead of iOS integration - Python for rest of code I'm new to working with tools like OpenCV, DeepSpeech, etc so would love any advice on the best way to replicate the original project in an open source way before I dive in. Are there any good guides or better resources out there? What are some pitfalls to avoid? Any help is much appreciated!
  • [Question] I'd like to find out about how the x, y, w, h values retrieved by detectMultiScale() (for the rectangle boundary during face detection) and how it is calculated in the Haar Cascade OpenCV library. Does anyone know where I can find the code?
    2 projects | /r/computervision | 10 Jul 2023
    Glancing at the code, I think it's detectMultiScaleNoGrouping and then the operator() of CascadeClassifierInvoker gets called. It will probably help you to put a breakpoint and step through that bit of the code.
    2 projects | /r/computervision | 10 Jul 2023
    On GitHub
  • OpenCV VS ppmpp - a user suggested alternative
    2 projects | 22 Jun 2023
  • Analyze defects and errors in the created images
    4 projects | /r/StableDiffusionInfo | 21 Jun 2023
  • What are the limits of blueprints?
    4 projects | /r/unrealengine | 25 May 2023
    You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++.
  • how to fix failed to fetch error when installing OpenCV on raspberry pi?
    2 projects | /r/rasberrypi | 10 May 2023
    wget -O
  • Interesting problem trying to solve.
    2 projects | /r/node | 5 May 2023
    Another option is using the OpenCV library with Python to extract features from images and compare them using feature matching algorithms like SIFT, SURF, or ORB. This approach is more computationally intensive but might be more accurate in identifying near-duplicates. You can find more information about OpenCV here:

What are some alternatives?

When comparing SVG++ and OpenCV you can also consider the following projects:

libvips - A fast image processing library with low memory needs.

VTK - Mirror of Visualization Toolkit repository

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

scikit-image - Image processing in Python

SimpleCV - The Open Source Framework for Machine Vision

imagick - Go binding to ImageMagick's MagickWand C API

ITK - Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

Kornia - Computer Vision and Robotics Library for AI

tesseract-ocr - Tesseract Open Source OCR Engine (main repository)