blockly VS OpenCV

Compare blockly vs OpenCV and see what are their differences.

blockly

The web-based visual programming editor. (by google)

OpenCV

Open Source Computer Vision Library (by opencv)
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blockly OpenCV
54 195
12,039 74,965
0.9% 1.5%
9.2 9.9
6 days ago about 11 hours ago
TypeScript C++
Apache License 2.0 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.

blockly

Posts with mentions or reviews of blockly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-19.

OpenCV

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 2023-12-13.
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    18 projects | dev.to | 13 Dec 2023
    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.
  • Image segmentation in huggingface
    2 projects | /r/computervision | 6 Dec 2023
    You'll need to plot the predictions. There are a few open source tools to do that, supervision is one you can use (https://github.com/roboflow/supervision) and opencv is another common option (https://github.com/opencv/opencv)
  • NodeJS: Blurring Human Faces in Photos
    2 projects | dev.to | 26 Oct 2023
    The OpenCV4NodeJs A.I. library provides an interface for calling OpenCV routines in NodeJS.
  • NodeJS - Ofuscando rostos humanos em fotos
    2 projects | dev.to | 26 Oct 2023
  • SIMD Everywhere Optimization from ARM Neon to RISC-V Vector Extensions
    6 projects | news.ycombinator.com | 29 Sep 2023
  • VidCutter: A program for lossless video cutting
    5 projects | news.ycombinator.com | 20 Aug 2023
  • Looking to recreate a cool AI assistant project with free tools
    3 projects | /r/selfhosted | 2 Aug 2023
    - [ OpenCV](https://opencv.org/) 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](https://opencv.org/) 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](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text - [Coqui TTS](https://github.com/coqui-ai/TTS) instead of Whisper for text-to-speech - Browser automation with [Selenium](https://www.selenium.dev/) 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 https://github.com/opencv/opencv

What are some alternatives?

When comparing blockly 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

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

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

Node RED - Low-code programming for event-driven applications

SimpleCV - The Open Source Framework for Machine Vision

scikit-image - Image processing in Python

Kornia - Geometric Computer Vision Library for Spatial AI

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.