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Artificial Intelligence with Python

Artificial Intelligence with Python

By : Prateek Joshi
3.6 (34)
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Artificial Intelligence with Python

Artificial Intelligence with Python

3.6 (34)
By: Prateek Joshi

Overview of this book

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more. Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.
Table of Contents (17 chapters)
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Frame differencing

Frame differencing is one of the simplest techniques that can be used to identify the moving parts in a video. When we are looking at a live video stream, the differences between consecutive frames captured from the stream gives us a lot of information. Let's see how we can take the differences between consecutive frames and display the differences. The code in this section requires an attached camera, so make sure you have a camera on your machine.

Create a new Python file and import the following package:

import cv2 

Define a function to compute the frame differences. Start by computing the difference between the current frame and the next frame:

# Compute the frame differences 
def frame_diff(prev_frame, cur_frame, next_frame): 
    # Difference between the current frame and the next frame 
    diff_frames_1 = cv2.absdiff(next_frame, cur_frame) 

Compute the difference between the current frame and the previous frame:

    # Difference between the current frame and...
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Artificial Intelligence with Python
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