337 skills found · Page 3 of 12
eupassarinho / Sentinel 1 SAR Vegetation IndicesThis repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.
NatLee / Nipype Preprocess On Brain MRThe project is used to do preprocessing on brain MR images by using Nipype.
mahdieslaminet / Surgical Instrument Detection Using Deep Neural NetworksSurgical Instrument Detection Using Deep Neural Networks and Image Preprocessing with Image Processing Filters in Laparoscopic Images
Munter / Generator GreenfieldA full and clean frontend web workflow Yeoman generator. Simple configuration, powerful preprocessing and image pipeline, livereload and a highly optimized production build output
gsunit / Pectoral Muscle Removal From MammogramsAlgorithm to segment pectoral muscles in breast mammograms
transybao1393 / Face Recognition PipelineFace recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques
tcxxxx / WSI AnalysisPython scripts for automatic Whole-Slide Image preprocessing.
Inupedia / Anime Character Image PreprocessingImage preprocessing, including character cropping, background removal, image enlargement and restoration, PIXIV image downloading, etc. 图片预处理，包括人物裁剪，背景去除，图片放大修复，PIXIV图片下载等
PACKIARAJ-R / ML Image Classification Using CNNBuilt a CNN-based image classification system with data preprocessing, model training, evaluation, and result visualization using accuracy curves and confusion matrix for reliable image recognition.
sibisiddharth8 / FaceFusionFaceFusion 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.
HistoCleanQUB / HistoCleanHistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Jfortin1 / RAVELIntensity normalization of structural MRIs using RAVEL
BrainLesion / Preprocessingpreprocessing tools for multi-modal 3D brain imaging
bezunakarmi / Laravel React WebpackThis starter kit is designed to get you up and running with with react.js with Laravel, built on top of webpack module bundler. It is already setup to provide CSS preprocessing with PostCSS and SASS, CSS modules, image optimization, pre-configured routing and more.
mguludag / QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
lucasrla / Wsi Tile CleanupImage filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
FrancescoGradi / Extreme 3d Faces EvaluatorPreprocessing to evaluate 3D face reconstruction from 2D image
NIH-MIP / Radiology Image Preprocessing For Deep LearningA Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research
DIAGNijmegen / Picai PrepPreprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.
edubart / Arraymancer VisionSimple library for image loading, preprocessing and visualization for working with arraymancer.
