Python_Image_Processing

The repository contains explanatory python notebooks about different aspect of image processing.

Basics - Basics image processing operations

Lessons 1-12 contains codes/notes taken from the amazing free tutorial on Python OpenCV available on youtube: https://www.youtube.com/watch?v=oXlwWbU8l2o&t=364s

• lesson 1: basic operations (read an image, convert to grey scale, blur an iamge, canny method for edge detection, dilation, erosion)
• lesson 2: add figures or text to blank images
• lesson 3: open a video and rescale it
• lesson 4: image translation, rotation, resizing, flipping, cropping
• lesson 5: convert an image to other color spaces
• lesson 6: split an image in its 3 colors
• lesson 7: blurring an image
• lesson 8: apply gradients to an image
• lesson 9: apply thresholding to a greyscale image
• lesson 10: bitwise operations
• lesson 11: apply a mask to an image
• lesson 12: generate histograms for an image

Detection - Object detection and classification

• lesson 1: face detection using haar cascade model
• lesson 2: haar cascade model for detection + train face recognizer for classification
• lesson 3: object detection with yolov7 model
• lesson 4: video object detection with yolov7 model

Registration - How to perform image registration

• lesson 1: feature-based image registration
• lesson 2: LoFTR registration

Segmentation

• lesson 1: Use SamModel to do instance segmentation

Others

• lesson 1: Digit recognition
• lesson 2: Style transfer

Installation

You could install requirements for this project with a virtual environment as venv

git clone https://github.com/SimoneDeGasperis/Python_Image_Processing.git

cd Python_Image_Processing

pip install virtualenv

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt