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PyTorch implementation of CNNs for CIFAR benchmark
2D Skeletal Animation WebGL Runtimes for Creature ( PixiJS, PhaserJS, ThreeJS, BabylonJS, Cocos Creator )
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
Data Augmentation For Object Detection using Pytorch and PIL
Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
A handy data augmentation toolkit for image classification put in a single efficient TensorFlow/PyTorch op.
HostPhot: global and local photometry of galaxies hosting supernovae or other transients
HostPhot: global and local photometry of galaxies hosting supernovae or other transients
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
I followed a tutorial on SUPER Hi to create my own version of the cut-out-effect. The secret is blending.