Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
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Image augmentation for machine learning experiments.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Image augmentation library in Python for machine learning.
A data augmentations library for audio, image, text, and video.
An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
A procedural Blender pipeline for photorealistic training image generation
Segment Anything for Stable Diffusion WebUI
Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
基于manga-image-translator 实现的开源漫画AI翻译桌面工具。支持日、韩、英文漫画自动处理,集成OpenAl、Gemini等多翻译引擎;实现OCR文字检测、原文擦除、AI翻译、图像修复、译文排版完整链路,自带可视化编辑器,支持自定义文本样式,一键部署开箱即用。
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
A collection of tools for painting super-resolution images
Vertex Buffers from Blender to Game Maker Studio 2
HistoClean 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.
A Python library which extracts strokes (outlines) from an SVG file as a series of line segments appropriate for driving pen plotters
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.