There are 11 repositories under image-processing-python topic.
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 public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.
An algorithm based on decision trees and deep learning models to enhance images
Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.
Recognition of the images with artificial intelligence includes train and tests based on Python.
Document Scanner Web App with Python
Python module providing a framework to trace individual edges in an image using Gaussian process regression.
Takes an image, simplifies the colours, generates a list of DMC embroidery threads that could be used to make the image as an embroidered piece of fabric
đź“™ Grades auto-filler provide an easy way to fill the grades electronically, and it should be able to correct MCQ bubble sheet exams automatically.
Automated the Chrome dino game in Python using Image Processing.
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]
Draw images as Fourier series
A pytorch implementation of Mertens et. al Exposure Fusion algorithm
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 public usage. You can use the codes and theories of digital image processing freely with no licences; but using the slides and other copyrighted material without making citations is forbidden.
A simple Python + Tkinter + Tesseract-based GUI image-to-text copypaste pad application
This is a Drawing application that uses a Convolutional Neural Network Model to classify drawings made by the user.
You can find the source codes and algorithms proposed by this "Bit Plane Slicing and Quantization-Based Color Image Watermarking in Spatial Domain" study
Computes the two-dimensional discrete cosine transform (DCT2D) of an image an its inverse, taking the image to the frequency domain.
Image Reconstruction with Genetic Algorithm
Image Data Preprocessing Toolkit
Testing Mixed Precision Training Using Pytorch Lightning and Segmentation Models
Project: Hand and Finger Tracking during Computer Work
Image Processing Homework (Prof. Hagit Hel-Or)
Sample code of Python C++ extension module. Demonstrates how to deal with Numpy objects in C++ codes. Also, OpenCV Mat and Numpy interaction code example is included.
Detects quality of vehicle tires from images using MobileNet V3
Official implementation of Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Cartoonify images using OpenCV
Image Processing API using Python + Flask + PIL. Implements YOLO.
This repository is created for the lecture Digital Image Processing of the Cooperative State University Stuttgart. It includes a lane detection for two example videos and different methods.
Use Yolov5 to identify cars / teams in F1 race videos
This repository contains scripts which generate the results presented in "Virtual encoder: a two-dimension visual odometer for NDT".