OpenCV 4 with Python Blueprints - Second Edition

Planning the app

To build the app, we need to combine the two main features discussed previously—a saliency map and object tracking. The final app will convert each RGB frame of a video sequence into a saliency map, extract all the interesting proto-objects, and feed them to a mean-shift tracking algorithm. To do this, we need the following components:

• main: This is the main function routine (in chapter6.py) to start the application.
• saliency.py: This is a module to generate a saliency map and proto-object map from an RGB color image. It includes the following functions:
  • get_saliency_map: This is a function to convert an RGB color image to a saliency map.
  • get_proto_objects_map: This is a function to convert a saliency map into a binary ...