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I'm new into the AI world, I've start doing some stuff using Python & OpenCV for face detection and so on. I know that with the implementation of some algorithms I can develop AI system using Python & OpenCV. So my question is : What is the position of Tensorflow here? Can I say Tensorflow is an alternative to OpenCV? as I can say Python is an alternative programming language to Java (for example).
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TensorFlow compiles many different algorithms and models together, enabling the user to implement deep neural networks for use in tasks like image recognition/classification and natural language processing.
OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies.
Object Detection using Tensorflow is a computer vision technique. As the name suggests, it helps us in detecting, locating, and tracing an object from an image or a video.
OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today's systems.
The main difference is that TensorFlow is a framework for machine learning, and OpenCV is a library for computer vision. It can be a good start to check the link below to get a grasp for the difference between framework and library: What is the difference between a framework and a library?
You can do image recognition with TensorFlow. Though it is suited for more general problems as well, such as: classification, clustering and regression.
I guess people downvoted because this question might be more relevant to: https://datascience.stackexchange.com/
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