OpenCV VS Keras

Compare OpenCV vs Keras and see what are their differences.

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OpenCV Keras
195 74
74,965 60,693
1.5% 0.8%
9.9 9.9
about 5 hours ago 7 days ago
C++ Python
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.

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

Keras

Posts with mentions or reviews of Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-28.
  • Keras 3.0
    4 projects | news.ycombinator.com | 28 Nov 2023
    All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467

    You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/

  • Can someone explain how keras code gets into the Tensorflow package?
    2 projects | /r/tensorflow | 24 Jul 2023
    I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
  • How popular are libraries in each technology
    21 projects | dev.to | 21 Jun 2023
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
  • List of AI-Models
    14 projects | /r/GPT_do_dah | 16 May 2023
    Click to Learn more...
  • I got advice on building ai apps.
    2 projects | /r/learnprogramming | 26 Apr 2023
    Keras documentation: https://keras.io/
  • Mastering Data Science: Top 10 GitHub Repos You Need to Know
    10 projects | dev.to | 24 Apr 2023
    3. Keras Keras is a high-level neural networks API written in Python that’s built on top of TensorFlow. It’s designed to enable fast experimentation with deep learning, allowing you to build and train models with just a few lines of code. If you’re new to deep learning or just want a more user-friendly interface, Keras is the way to go.
  • How to query pandas DataFrames with SQL
    5 projects | dev.to | 1 Feb 2023
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more.
  • The Essentials of a Contributor-friendly Open-source Project
    2 projects | dev.to | 18 Jan 2023
    Our trick is to support GitHub Codespaces, which provides a web-based Visual Studio Code IDE. The best thing is you can specify a Dockerfile with all the required dependency software installed. With one click on the repo’s webpage, your contributors are ready to code. Here is our setup for your reference.
  • DO YOU YAML?
    7 projects | dev.to | 16 Jan 2023
    If you’re looking for further resources on running TensorFlow and Keras on a newer MacBook, I recommend checking out this YouTube video: How to Install Keras GPU for Mac M1/M2 with Conda
  • Doing k-fold analysis
    2 projects | /r/tensorflow | 25 Dec 2022
    The thing that pops right into my mind is the following issue: https://github.com/keras-team/keras/issues/13118 People are still reporting memory leaks when calling model.predict and I wouldn't be surprised if model.fit also leaked when called multiple times. Maybe this is a good starting point for your investigation. If this is unrelated, I'm sorry in forward.

What are some alternatives?

When comparing OpenCV and Keras 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

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

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.

scikit-learn - scikit-learn: machine learning in Python

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

SimpleCV - The Open Source Framework for Machine Vision

scikit-image - Image processing in Python

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Kornia - Geometric Computer Vision Library for Spatial AI