Plagroud Repository for Image Pre-processing [Under Active Development]

This is the repo to store and practice whole image processing stack, which contains:

Basics

1. Preprocessing & Representation using OpenCV, SciKit-Image, Pillow, SciPy
2. Colour scheme operations
3. Resizing and Rotations (& Thumnails)
4. Crop, Copy-paste, Rotate, Flip
5. SciPy image filers
6. Noising, Denoising -> Gaussian, median, etc.
7. Image masking
8. Fourier transform, Inverse fourier transform & Discrete fourier transform
9. Histogram equalization, CLAHE
10. Shading correction using rolling ball background subtraction
11. White balancing
12. Pattern and Similar object matching or Template matching
13. Reference based image quality metrics
14. Batch processing
15. Straight line detection using Hough transform

Advance

1. Image classification using Gray-level-co-occurance matrics (GLCM) and LGBM
2. U-Net for semantic segmentation (Image segmentation)
3. IoU - Intersection over Union
4. Image classification using Bag of visual words (BoVW)

Framework Specific Advance Tasks

1. Feed forward classifier [PyTorch]
2. CNNs [PyTorch]
3. Mask R-CNNs [PyTorch]
4. Object Detection [PyTorch] & [TensorFlow]
5. Image Segmentation [PyTorch]
6. 3D Object Detection and localization [PyTorch] & [TensorFlow]
7. Object Tracking
8. Convolutional Auto-Encoders [PyTorch]