image-preprocessing
There are 101 repositories under image-preprocessing topic.
idealo/imagededup
😎 Finding duplicate images made easy!
bhky/opennsfw2
Keras implementation of the Yahoo Open-NSFW model
mesutpiskin/computer-vision-guide
: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.
sczhou/IGNN
[NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution
HasnainRaz/SemSegPipeline
A simpler way of reading and augmenting image segmentation data into TensorFlow
Mehrab-Kalantari/Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
hellloxiaotian/DudeNet
Designing and Training of A Dual CNN for Image Denoising (Knowledge-based Systems, 2021)
wiseaidev/Face-Recogntion-Detection
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.
gsunit/Pectoral-Muscle-Removal-From-Mammograms
Algorithm to segment pectoral muscles in breast mammograms
Jfortin1/RAVEL
Intensity normalization of structural MRIs using RAVEL
sibisiddharth8/FaceFusion
FaceFusion is an AI-powered tool that delivers high-quality face enhancements and realistic face swaps. Using models like GFPGAN, Real-ESRGAN, and InsightFace, it’s perfect for film studios, content creators, and designers seeking efficient and affordable visual effects if developed fully.
vikasgola/image-filtering
image filtering techniques in python with examples
klarEDA/klar-EDA
A python library for automated exploratory data analysis
dingkeyan93/Image-Processing-GUI
A GUI for Image Processing
mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
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
Oxid15/Image-Smoothing-Algorithm-Based-on-Gradient-Analysis
Edge-preserving image smoothing algorithm
Purefekt/OCR-with-Tesseract
⛏️ 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.
harsha-desaraju/TeluguOCR
This repository contains all the files of the project OCR for Telugu.
sevdaimany/Computer_Vision_Projects
This repository contains all my exercises and projects for computer vision.
2320sharon/Streamlit_Image_Sorter
Generic Image Sorter Interface for Streamlit
darsan-in/Remige
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
YSHgroup/image-preprocessing-python
Preprocessing the images and saving them in a specific directory with python
badalyaz/image-rating
Image Rating using CNN-based model.
bianconif/CenOTAPH
CenOTAPH: COlour and Texture Analysis toolbox for PytHon
ItsNotRohit02/Attendance-System-using-Facial-Recognition
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.
shraddha-sanil/diabetic-retinopathy-detection-methodological-framework
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.
div-yansh/ImageArrayGenerator
Python Program to convert images to .npy files along with their labels and store them for future use in Machine Learning.
kochlisGit/Data-Augmentation-Algorithms
Implementation of fast Data Augmentation for Image Classification / Detection tasks.
yugwangyeol/DLS_P2P
[Research] Image distored assessement score (DLS&P2P)
abrahamkoloboe27/Fruits-Recognition-Gradio-App
🍎 Fruits Classification App (Gradio) 🍌
codeperfectplus/IACAH
India Academia Connect AI Hackathon October 2021
cpondoc/PythonML-Image-Preprocessing
A collection of Jupyter Notebooks containing some important functions regarding image preprocessing and machine learning.
ichrakromdhani/OCR-Checks
Extract text from handwritten infomation on bank checks images
SayamAlt/Flowers-Recognition
Successfully trained a deep learning model which can precisely predict the species of flowers based on their images.
TWRogers/nyan
nyan (not your average name) is an image pre-processing and post-processing library for computer vision tasks.
Zouaoui-Montassar/mrz-scanner
Angular, Ionic, Capacitor, OCR, Tesseract.js, Image-preprocessing