Computer vision libraries
OpenCV is a library of programming functions mainly aimed at real-time computer vision.
That is to say, OpenCV is a software library for performing computer vision tasks, whereas TensorFlow is a deep learning library.
OpenCV supports the deep learning frameworks such as TensorFlow , Torch /PyTorch and Caffe ..
Computer vision libraries
TensorFlow is an end-to-end open source platform for machine learning.
TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models..
Computer vision topics
TensorFlow is a free and open-source software library for machine learning and artificial intelligence.
It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks..
How is TensorFlow used in image processing?
Tensorflow provides the required tools and pre-trained models to perform image segmentation tasks.
Image segmentation has some real-world use cases.
They include: Object Recognition and Tracking: Image segmentation is used to track and recognize objects such as people, vehicles, and animals in real time..
What is TF vision?
TF-Vision modeling library for computer vision provides a collection of baselines and checkpoints for image classification, object detection, and segmentation..
