My branch

[AbdelRahmanNasser20]

Created a set of scripts that collects images then displays different graphs that computes different method for comparing images.

• Runs the recorder class in a for loop to collect data.
• Stores that data into a temp directory in different h5py files.
• a Script then reads those files to calculates the mean, std ,and var of each image set. Then appends those images to a list.
• Another script then takes those images and calculates:
  • Structural similarity index measure (SSIM) is a method for predicting the perceived quality of image
  • MSE is the most common estimator of image quality measurement metric. It is a full reference metric and the values closer to zero are the better.