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computervision-recipes

9,780
1,193
Jupyter Notebook

Project Description

Best Practices, code samples, and documentation for Computer Vision.

computervision-recipes: Best Practices, code samples, and documentation for Computer Vision.

Project Title

computervision-recipes โ€” Best Practices and Code Samples for Building Computer Vision Systems

Overview

The computervision-recipes project is a comprehensive repository of best practices, code samples, and documentation for building computer vision systems. It leverages recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. The project aims to reduce the time to market for developing computer vision solutions by simplifying the experience from defining the business problem to developing the solution.

Key Features

  • Extensive collection of Jupyter notebooks for various computer vision scenarios
  • Utilizes PyTorch as the underlying deep learning library
  • Covers single-image scenarios and video-based action recognition
  • Provides tools for building custom machine learning models

Use Cases

  • Data scientists and machine learning engineers looking to develop computer vision models
  • Companies needing to implement visual recognition tasks such as image classification and object detection
  • Researchers and developers exploring the latest advancements in computer vision algorithms

Advantages

  • Simplifies the development process by providing ready-to-use code samples and best practices
  • Accelerates time to market for computer vision solutions
  • Supports a wide variety of languages and neural architectures

Limitations / Considerations

  • The project requires a good understanding of computer vision and machine learning concepts
  • Limited GPU support when using the Binder service for trying out notebooks in a web browser
  • The project's effectiveness depends on the user's ability to adapt the provided examples to their specific use case

Similar / Related Projects

  • TensorFlow Object Detection API: A powerful open-source project for object detection, but it is more focused on a single task rather than the broad range of computer vision scenarios covered by computervision-recipes.
  • OpenCV: A comprehensive computer vision library, but it lacks the curated collection of best practices and Jupyter notebooks found in computervision-recipes.

Basic Information


๐Ÿ“Š Project Information

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Project Information

Created on 2/11/2019
Updated on 10/31/2025