Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This revision is fully updated with new content on social media data analysis, image...
Today, images and video are everywhere. Online photo-sharing sites and social networks
have them in the billions. Search engines will produce images of just about any
conceivable query. Practically all phones and computers come with built-in cameras.
It is not uncommon for people to have many gigabytes of photos and...
This book will show you how to use OpenCVs Python bindings to capture video, manipulate images, and track objects with either a normal webcam or a specialized depth sensor, such as the Microsoft Kinect. OpenCV is an open source, cross-platform libran' that provides building blocks for computer vision experiments and applications. It...
Open Source Computer Vision Library (OpenCV, http://opencv.org/) started as an Intel research initiative around 1999. Now, it is the most popular open source software library for computer vision and machine learning. In the beginning, it was a set of C library functions for image processing and computer vision. Now, it has C++, Python, Java,...
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.
Key Features
Learn how to apply complex visual effects to images with OpenCV 3.x and Python
