There are 1 repository under image-preprocessing topic.
๐ Finding duplicate images made easy!
:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
A simpler way of reading and augmenting image segmentation data into TensorFlow
House price estimation from visual and textual features using both machine learning and deep learning models
Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.
Algorithm to segment pectoral muscles in breast mammograms
FaceFusion is an AI-powered tool that delivers high-quality face enhancements and realistic face swaps. Using models like GFPGAN, Real-ESRGAN, and InsightFace, itโs perfect for film studios, content creators, and designers seeking efficient and affordable visual effects if developed fully.
image filtering techniques in python with examples
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
โ๏ธ Contains 4 python modules. Basic OCR using Google's Tesseract on single image and pdf. Auto orientation correction for scanned docs. Auto noise type detection and reduction. Watermark and stain removal on scanned docs. These modules act as preprocessing tools for the best OCR results.
Edge-preserving image smoothing algorithm
This repository contains all the files of the project OCR for Telugu.
Image Rating using CNN-based model.
This repository contains all my exercises and projects for computer vision.
Generic Image Sorter Interface for Streamlit
Remige is an advanced image compression framework, built as a fork of libSquoosh. By integrating Squoosh's powerful image codecs directly into JavaScript applications, Remige offers unparalleled compression performance and file size reduction. Designed for compatibility with the latest Node.js versions, Remige enhances image processing with modern
A computer visionโpowered smart self-checkout system that combines YOLOv11 for real-time product detection and Flask for a seamless, interactive billing interface โ designed to revolutionize the retail experience.
Crosswords is a powerful Streamlit app that helps you solve crossword puzzles using AI-powered clue recognition and web scraping. Just upload an image or screenshot of your puzzle, and the app extracts the clues with ChatGPT Vision, searches for possible answers online, and displays them instantly. Works locally or online via Streamlit Cloud
This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.
Implementation of fast Data Augmentation for Image Classification / Detection tasks.
This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. Both clinical and non-clinical features are extracted and fed to SVM classifier.
Preprocessing the images and saving them in a specific directory with python
Python Program to convert images to .npy files along with their labels and store them for future use in Machine Learning.
A Flask-based web app that uses OCR technology to extract text from uploaded images. Users can upload images, preview them, and download the extracted text as a file.
Whole Slide Image mask preprocessing modules.
Description: Dive into this exciting project that builds a CNN with TensorFlow/Keras to classify CIFAR-10 images into 10 vibrant classes! ๐ธ It features data preprocessing, model training, stunning ROC curve visualizations ๐, sample predictions, and custom image classification
[Research] Image distored assessement score (DLS&P2P)
๐ Fruits Classification App (Gradio) ๐
Professional & Modular Image Processing Library in Python
Angular, Ionic, Capacitor, OCR, Tesseract.js, Image-preprocessing