Motion Blur and Depth Of Field camera effects are naturally supported.Per-particle Scatter, Emission, Absorption, and Density data channels, as well as various Light Scattering models, allow deep levels of control over the final image.It supports volumetric and additive particle shading, texturing, high-quality particle self-shadowing, and shadow casting from and onto matte objects.KRAKATOA offers both Particle and Voxel rendering modes using the same source data.There are some features that made Krakatoa Special which are: In a nutshell, OpenCV is the best library if you want to build computer vision applications.KRAKATOA is CPU-based, highly optimized for 64-bit computing, heavily multi-threaded, and can be used successfully on most hardware running Windows or Linux operating systems including laptops and render nodes without dedicated high-end graphics accelerators. For example, some well-known organizations that employ OpenCV are Google, Sony, Microsoft, IBM, Intel, etc. It is interesting to note that companies of all sizes ranging from startups to well-established use OpenCV. For example, you can help robots follow a line, detect intrusions, inspect runways for rubble, stitch images to produce street view, and others. Apart from object detection and facial recognition, you can perform different tasks using this library. In addition, it works well with NumPy, Matplotlib, SciPy, and other Python libraries. OpenCV runs on all Windows, macOS, Linux, and Android, making it ideal for all sorts of computer vision and image processing applications. The best thing about OpenCV is that it supports several cutting-edge computer vision algorithms that make it easier to perform activities such as object identification, tracking of moving objects, facial recognition, removing red eyes from the photos, etc. With the help of different wrappers, you can use OpenCV in Python, MATLAB, and Java. OpenCV is a computer vision library that is written in C++. One of the most popular computer vision libraries that are covered in this tutorial is OpenCV. With the help of deep learning, computer vision enables computers to perform image classification, object tracking, and other activities. OpenCV Python Tutorial What is Computer Vision?Ĭomputer Vision is an artificial intelligence(AI) field that provides human-like intelligence to computers to extract useful information from images and videos.
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