Memory and images

First, we will check how opening images affects random access memory (RAM) usage. In our first example, we will try to open band 8 of the Landsat data using the same technique as before:

1. Prepare the working environment for Chapter 9 by making a copy of the Chapter8 folder in your geopy project. Name the copied folder as Chapter9.

2. In Chapter9 folder, open the experiments folder and delete all the files inside it.

3. In the experiments folder, create a new Python file and name it images.py. Open it for editing.

4. Now type the following code in this file:

   # coding=utf-8
   
   import cv2 as cv
   
   def open_image(img_path):
       image = cv.imread(img_path)
       print(type(image))
       raw_input("Press any key.")
   
   
   if __name__ == '__main__':
       image_path = "../../data/landsat/LC80140282015270LGN00_B8.TIF"
       open_image(image_path)

5. Run the code. Press Alt + Shift + F10 and select the images on the list.

6. Depending on your computer's memory and the OpenCV version, you may succeed. Otherwise, you will...