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OpenCV VS Plottr

Compare OpenCV VS Plottr and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Plottr logo Plottr

The #1 rated visual book planning and series bible software for professional and aspiring writers.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Plottr Landing page
    Landing page //
    2023-06-17

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Plottr features and specs

  • Visual Storyboarding
    Plottr provides a visual storyboard interface that allows users to outline and organize their stories easily. This feature helps writers visualize the narrative structure and track how different plotlines intersect.
  • Timeline Feature
    The timeline feature in Plottr allows writers to create a visual timeline for their stories, which can be particularly useful for managing complex plots and ensuring consistency with events and character development.
  • Character and Plot Templates
    Plottr comes with pre-designed templates for characters and plots, which can help writers get started quickly by using industry-standard frameworks and can be customized as needed.
  • Cross-Platform Compatibility
    Plottr is available on multiple platforms, including Windows, Mac, and iOS, which allows writers to work on their projects across different devices without interruption.
  • Intuitive User Interface
    Plottr is known for its user-friendly interface that makes it accessible to both beginners and experienced writers, minimizing the learning curve and allowing users to focus more on their writing.

Possible disadvantages of Plottr

  • Limited Text Editing
    Plottr is not designed as a full writing software, so it lacks comprehensive text-editing capabilities, which means writers need to switch to other apps for drafting and finalizing their manuscripts.
  • Price Point
    The cost of Plottr may be a consideration for some users, particularly those who are looking for free or low-cost writing tools. It requires a subscription, which might not be ideal for all budgets.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, some of the more advanced features might require a bit of a learning curve for users who want to utilize the software's full potential.
  • Limited Export Options
    Plottr provides limited options for exporting files, which might complicate the process of moving detailed outlines into other writing tools or formats without losing organization.
  • Mobile Limitations
    While available on iOS, the mobile version of Plottr may not offer the full functionality present in the desktop versions, potentially limiting its usability on tablets or smartphones.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Plottr videos

Plottr Review | Full demo | Visual Story Development

More videos:

  • Review - Planning Your NaNoWriMo Novel Using Plottr
  • Review - Plottr Overview

Category Popularity

0-100% (relative to OpenCV and Plottr)
Data Science And Machine Learning
Writing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Writing Tools
0 0%
100% 100

User comments

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Reviews

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

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.
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.

Plottr Reviews

We have no reviews of Plottr yet.
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Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 60 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.

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 26 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 month ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

Plottr mentions (0)

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

What are some alternatives?

When comparing OpenCV and Plottr, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Plot Factory - Online story planner, organizer, and writing application.

NumPy - NumPy is the fundamental package for scientific computing with Python

bibisco - bibisco is a novel writing software.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Scrivener - Scrivener is a content-generation tool for composing and structuring documents.