Mastering Computer Vision with TensorFlow 2.x

Creating an image vector

Color images are a combination of R, G, and B. Colors can be represented as an intensity value, ranging from 0 to 255. So, each image can be represented as a three-dimensional cube, with the x and y axis representing the width and height and the z axis representing three color channels (R, G, B) representing the intensity of each color. OpenCV is a library with built-in programming functions written for Python and C++ for image processing and object detection.

We will start by writing the following Python code to import an image, and then we will see how the image can be broken down into a NumPy array of vectors with RGB. We will then convert the image to grayscale and see how the image looks when we extract only ...