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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)

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Ddhruv-IOT/Python-Image-Processing

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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:

  • shows how to take input from camera (default, external, IP cam)
  • Adding output to Tkinter Window for GUI development purposes
  • 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
  • Shows how to open images in python
  • saving images
  • 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

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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)

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