Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.

This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for…

An algorithm based on decision trees and deep learning models to enhance images

📸 Welcome to the Image & Video Tools: Your go-to suite for managing media! Effortlessly resize, crop, and edit images and videos with our versatile tools. Experience seamless media management with powerful, easy-to-use features—all in one place!

🔎 PicTrace is a highly efficient image matching platform that leverages computer vision using OpenCV, deep learning with TensorFlow and the ResNet50 model, asynchronous processing with aiohttp, and the FastAPI web framework for rapid and accurate image search.

Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.

Document Scanner Web App with Python

A pytorch implementation of Mertens et. al Exposure Fusion algorithm

Recognition of the images with artificial intelligence includes train and tests based on Python.

Draw images as Fourier series

Python module providing a framework to trace individual edges in an image using Gaussian process regression.

📙 Grades auto-filler provide an easy way to fill the grades electronically, and it should be able to correct MCQ bubble sheet exams automatically.

Developed VisionSoC, an advanced image upscaling model using Enhanced Super Resolution Generative Adversarial Networks (ESRGAN) with Python, leveraging frameworks such as TensorFlow and Keras. Created a comprehensive web-based application for the model using HTML, CSS, and JavaScript, and integrated the frontend with the backend using Flask.

Automated the Chrome dino game in Python using Image Processing.

A simple Python + Tkinter + Tesseract-based GUI image-to-text copypaste pad application

Recognition of the images includes train and tests based on Python.

reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]

Tool to generate an image from one of your in-game party

This is a Drawing application that uses a Convolutional Neural Network Model to classify drawings made by the user.