Artificial intelligence includes various fields, many of them require the capture or interpretation of signals from abroad. In this post we will see open source tools for computer vision.
It is one of the many fields where free and open source software is leading outperforming proprietary alternatives.
What is computer vision?
Computers have been able to capture images for a long time, but getting him to recognize and react to them is a field that has taken off in recent years. Interest in this type of capability grew from efforts to improve facial recognition technologies and the race to develop the first driverless vehicle.
The challenge is to create algorithms that are capable of recognizing shapes, colors, and patterns in the images captured by computers., as well as detect movement, track things and understand their spatial location. The most powerful tools use deep learning algorithms trained on millions of known images that will allow you to recognize patterns and make predictions in the future.
In addition to autonomous vehicles, there are other possible uses such as the analysis of medical images or the detection of defects in manufactured products that are not visible to the human eye.
A deep learning algorithm differs from traditional learning algorithms in that it is based on a multi-layered neural network that is capable of learning by extracting relevant information from the input data by itself.
Open source tools for computer vision
A computer vision library is a set of pre-written programs that can be used by those developing applications that require image and video processing capabilities. Using these libraries allows you to reduce coding time.
OpenCV
Es the most popular of the bookstores on this list. It has versions for the programming languages Python, Java, C++ and Javascript among others. It can be included in applications for Windows, Mac and Android.
Some of the uses of OpenCV are facial recognition, motion detection, gesture identification, and object detection.
SimpleCV
It is about of a set of software and libraries developed in Python ideal for prototyping applications compatible with different web, IP and mobile device cameras.
It does not require as much learning as the other options.
DeepFace
How to Live Aligned with your name indicates it, it is a tool for working with faces. It is a library for Python that allows you to analyze faces in real time, recognize them, perform verifications and analyze their attributes.
BoofCV
This software It is written from scratch and focuses on low-level image processing, camera calibration, feature detection/tracking, motion patterning, and recognition. All this in real time.
OpenWINE
Name of this library comes from the acronym for Open Visual Inference and Neural Network Optimization. It consists of a set of tools for optimizing applications that emulate human vision. Its use requires having a pre-trained model. Its use is intended for object detection, facial and movement recognition and coloration.
Albumentations
Es a Python library used for image classification, pose estimation, and object detection.
Cafe
It is curious how the initials of Artificial Intelligence refer to food, wine, coffee. In the latter case it means Convolutional Architecture for Fast Feature Embedding. It is written in C++, although it has support for multiple languages and various deep learning architectures. It is ideal for image classification and segmentation making it ideal for academic research projects, product prototypes, and large-scale industrial applications that require vision, voice, and multimedia capabilities.
It is evident that there is still a lot to be done in the field of Artificial Intelligence. But, the existence of open source libraries gives us hope that the solutions that are developed are not controlled by a few.