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Platforms to Find Computer Vision Models

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.

OpenCV

TensorFlow is among the most popular end-to-end open-source machine learning platforms with a comprehensive set of tools, resources, and libraries.

TensorFlow

CUDA (short for Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) model developed by NVIDIA.

CUDA

Viso Suite is an end-to-end computer vision platform for businesses to build, deploy and monitor real-world computer vision applications.

Viso Suite

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.

MATLAB

Keras is a Python-based open-source software library that acts as an interface for the machine learning platform TensorFlow.

Keras

SimpleCV is an open-source collection of libraries and software that allows you to develop machine vision applications easily.

SimpleCV

BoofCV is a Java-based computer vision software that is specially written for real-time computer vision solutions.

BoofCV

CAFFE or Convolutional Architecture for Fast Feature Embedding is deep learning and computer vision framework developed at the University of California, Berkeley.

CAFFE

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. 

OpenVINO

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