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OpenCV vs Piio: What are the differences?
OpenCV: Open Source Computer Vision Library. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform; Piio: Generates responsive images so you don't have to optimize. Piio automatically generates real-time responsive images for your website visitors and delivers them at maximum speed. (lazy loading feature included).
OpenCV and Piio belong to "Image Processing and Management" category of the tech stack.
Some of the features offered by OpenCV are:
- C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android
- More than 47 thousand people of user community and estimated number of downloads exceeding 7 million
- Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics
On the other hand, Piio provides the following key features:
- Cross device experience - Don’t worry about multiple resolutions or mobile devices, Piio automatically loads the best image for each device.
- Automatic Responsive Images - We learn from your html and deliver pixel perfect images, they don't only load faster but they'll look better.
- CDN Deliver - With worldwide reach, our CDN provides low latency and faster download times.
OpenCV is an open source tool with 36.3K GitHub stars and 26.6K GitHub forks. Here's a link to OpenCV's open source repository on GitHub.
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Learn MorePros of OpenCV
Pros of Piio
Pros of OpenCV
- Computer Vision36
- Open Source17
- Imaging12
- Face Detection9
- Machine Learning9
- Great community6
- Realtime Image Processing4
- Helping almost CV problem2
- Image Augmentation2
Pros of Piio
- Dramatically increased site speed and easy integration2
- Edge Web Accelerator1
- Wordpress Plugin1
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What is OpenCV?
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
What is Piio?
Piio, Inc. offers a superior set of products with the most advanced technology for image optimization and web performance. Piio is helping over 5000 companies and developers and delivering billions of images to users around the globe.
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What companies use OpenCV?
What companies use Piio?
What companies use OpenCV?
What companies use Piio?
See which teams inside your own company are using OpenCV or Piio.
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What tools integrate with OpenCV?
What tools integrate with Piio?
What tools integrate with OpenCV?
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What are some alternatives to OpenCV and Piio?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
CImg
It mainly consists in a (big) single header file CImg.h providing a set of C++ classes and functions that can be used in your own sources, to load/save, manage/process and display generic images.
OpenGL
It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
OpenCL
It is the open, royalty-free standard for cross-platform, parallel programming of diverse processors found in personal computers, servers, mobile devices and embedded platforms. It greatly improves the speed and responsiveness of a wide spectrum of applications in numerous market categories including gaming and entertainment titles, scientific and medical software, professional creative tools, vision processing, and neural network training and inferencing.