Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ https://greasyfork.org/en/scripts/437569-cotrans-manga-image-translator-regular-edition
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Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ https://greasyfork.org/en/scripts/437569-cotrans-manga-image-translator-regular-edition
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
😎 Finding duplicate images made easy!
📷 EasyPhoto | Your Smart AI Photo Generator.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
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)
This is a blender add-on that contains tools to ease the creation/import process of assets into Godot Game Engine
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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 package to analyze matrix fiber orientation and intensity around cells as a proxy for cellular forces. Also measures alignment relative to X/Y axes, points and lines, with optional masks, a Python API and browser tools for analysis and group comparisons.
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.