Python Image Processing

Overview

In today's world, Image processing is everywhere and in the future everything will be dependent on it only.
In this repo, I have demonstrated some of the basics of PIP (Python Image Processing) such as

• opening images using various modules in python
• saving images
• Performing various operations on images
• Taking input directly from camera of PC
• Displaying the camera’s video in Tkinter Window

Tools and Technologies used:

• Python 3.8
• Jupyter Notebook
• Spyder IDE
• Sublime 3 IDE
• Notepad++

Python Libraries and Modules used:

• OpenCV (CV2)
• Tkinter
• Matplotlib (PyPlot)
• Ipython
• Numpy
• Skimage
• PIL
• Tensorflow 2.0 (cpu)
• Keras (now included with tensorflow)

Description of added directories:

Camera_Input:

• shows how to take input from camera (default, external, IP cam)
• Adding output to Tkinter Window for GUI development purposes

Operations:

• Shows various types of operations like:
  • Resizing image
  • Cropping image
  • Changing Brightness of image
  • Changing Contrast of image
  • Rotating Image
  • Image Thresholding
  • Replacing Pixels in image
  • Color Spaces of Images
  • Saving images
  • Displaying multiple images

Opening Images:

• Shows how to open images in python
• saving images

Image_Augmentation:

• Image augmentation is a technique that is used to artificially expand the data-set.
• This is helpful when we are given a data-set with very few data samples
• In this case I have used Keras to achieve image augmentation.

Thank you