Computer Vision

This repository contains implementations of several common computer vision algorithms and models in Python.

Contents

The repository contains the following directories:

• Image Classification
  • Image classification using transfer learning and fine-tuning in TensorFlow
• ResNet50 - PyTorch
  • Implementation of ResNet50 architecture in PyTorch
• Convolution/Pooling Layers
  • Implementations of convolutional and max pooling layers
  • Image filtering using DoG and Gabor filters
  • Written report on theory and results

Usage

Each directory contains notebooks to run the models and examine the outputs.