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OpenCV VS When I Work

Compare OpenCV VS When I Work and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

When I Work logo When I Work

When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • When I Work Landing page
    Landing page //
    2021-07-30

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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.

When I Work features and specs

  • User-Friendly Interface
    When I Work offers a clean, intuitive interface that both employers and employees find easy to navigate, making scheduling and communication straightforward.
  • Mobile Accessibility
    The mobile app allows employees to check schedules, request time off, and communicate from anywhere, enhancing flexibility and accessibility.
  • Efficient Scheduling
    Automated scheduling features help managers save time by quickly creating and adjusting schedules based on employee availability and business needs.
  • Time Tracking Integration
    When I Work integrates time tracking and attendance, simplifying payroll processes and ensuring accurate timekeeping.
  • Employee Management
    The platform supports streamlined employee management with tools for communication, task assignment, and shift reminders.

Possible disadvantages of When I Work

  • Cost
    While powerful, When I Work can be relatively expensive, especially for smaller businesses with tight budgets.
  • Limited Customization
    Some users have reported that the software offers limited customization options for specific business needs and scheduling intricacies.
  • Learning Curve
    Although generally user-friendly, some features may have a learning curve for new users, particularly those who are not tech-savvy.
  • Customer Support
    While adequate, some users have experienced delays or difficulties in getting timely support from the customer service team.
  • Feature Limitations in Basic Plan
    The basic plan may not include all the advanced features, requiring an upgrade to access the full range of functionalities.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

When I Work videos

+ Add

Digital Unboxing: When I Work

More videos:

  • Review - When I Work - Review and Edit Timesheets

Category Popularity

0-100% (relative to OpenCV and When I Work)

OpenCV

When I Work

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Employee Scheduling
0 0%
Employee Scheduling
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Time Tracking
0 0%
Time Tracking
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 When I Work

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.
Source: www.labellerr.com
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.
Source: towardsdatascience.com

When I Work Reviews

The 9 Best Paid and Free WhenIWork Alternatives
Whether you’ve grown tired of When I Work or are looking to change things up and see if there’s an app that’s better out there – then this article is for you. In just a moment, we will walk you through nine different software that we believe are fantastic alternatives to When I Work.
Source: everhour.com

Social recommendations and mentions

Based on our record, OpenCV should be more popular than When I Work. 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 / 10 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 23 days 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 / 6 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

When I Work mentions (6)

  • Employee calendars that all super admins have access to
    How are the users accessing these calendars if you don't create accounts for them? What you probably want is a work scheduling service like when I work: https://wheniwork.com. Source: over 2 years ago
  • Volunteer schedule with varying hours
    You could try something like this: https://wheniwork.com. Source: almost 3 years ago
  • Labour as a percentage of sales.
    I record all of our takings through a spreadsheet and from this I add our takings into wheniwork.com and get my labour as a percentage of sales. Source: almost 4 years ago
  • Web-Based Time Keeping System Suggestions
    Look at wheniwork.com. We used them a few years ago and they had lots of features. Source: almost 4 years ago
  • Web/App-based Time Tracking Application for Lab use
    We are going to resume our work in few weeks and looking for efficient time tracking applications to keep track of the people working in the lab at any given time. In one lab I am using WhenIWork app and planning to us clockify in the second lab. Both of them are free and have some pros and cons. I was wondering if anybody has experience using any other software (free) in your lab. We are a team of 5-6 people and... Source: almost 4 years ago
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What are some alternatives?

When comparing OpenCV and When I Work, 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.

Deputy - Deputy is a software for employee scheduling, time and attendance and communication management.

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

ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.

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

Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

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