Image Enhance CutouPro is an Android application that allows users to enhance their old images or photos using the CutouPro API. The app utilizes Retrofit 2 for network requests, MVVM and Hilt for dependency injection.

An R script for extracting MODIS data for a list of locations

To evaluate the performance of each regularization method (cutout, mixup, and self-supervised rotation predictor), we apply it to the CIFAR-10 dataset using a deep residual network with a depth of 20 (ResNet20)

Make cutout effect of your text in an easy way.

I followed a tutorial on SUPER Hi to create my own version of the cut-out-effect. The secret is blending.

AI Image Cutout Maker is a project that uses artificial intelligence to automatically create cutouts from images. This project is designed to simplify the process of creating cutouts, which can be a time-consuming task if done manually. This project utilizes the power of Segment Anything and Grounding Dino AI models to detect subjects in an image

Small app allowing image cutout using CUDA.

This project proposes a neural network architecture Residual Dense Neural Network - ResDen, to dig the optimization ability of neural networks. With enhanced modeling of Resnet and Densenet, this architecture is easier to interpret and less prone to overfitting than traditional fully connected layers or even architectures such as Resnet with hig…

This is the front-end webpage for the AI image cutout generator, the BE for this repo can be found here: https://github.com/OriginalByteMe/AI_Image_cutout_maker

One-click cutout/一键抠图/Automatic portrait cutout/人像自动抠图/Transparent background color/透明背景色

A utility (written in TypeScript) for generating customizable clip-path CSS values to create various cutout shapes in HTML elements. Supports circular, triangular, square, and more shapes by adjusting the precision parameter.

Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。

Generate random textures using cutout images.

A handy data augmentation toolkit for image classification put in a single efficient TensorFlow/PyTorch op.

CIRADA cutout SErvice iN PYthon

Pytorch Implementation of ALL-CNN in CIFAR10 Dataset

HostPhot: global and local photometry of galaxies hosting supernovae or other transients

Cocos2d-x Runtimes for Creature

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.