OpenCV is Created with a view of providing a common infrastructure for computer vision applications, OpenCV allows access to 2,500-plus classic and state-of-the-art algorithms.
TensorFlow is among the most popular end-to-end open-source machine learning platforms with a comprehensive set of tools, resources, and libraries.
CUDA (short for Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model developed by NVIDIA.
Viso Suite is an end-to-end computer vision platform for businesses to build, deploy and monitor real-world computer vision applications.
MATLAB is a programming platform that is useful for a range of different applications such as machine learning, deep learning, image, video, and signal processing.
Keras is a Python-based open-source software library that acts as an interface for the machine learning platform TensorFlow.
SimpleCV is an open-source collection of libraries and software that allows you to develop machine vision applications easily.
BoofCV is a Java-based computer vision software that is specially written for real-time computer vision solutions.
CAFFE or Convolutional Architecture for Fast Feature Embedding is deep learning and computer vision framework developed at the University of California, Berkeley.
OpenVINO (Open Visual Inference and Neural Network Optimization) is a set of comprehensive computer vision tools that are useful for developing applications emulating human vision.
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