Efficient vision foundation models for high-resolution generation and perception.
- high-resolution
- imagenet
- efficientvit
- segment-anything
75,360 visible repositories in the index
121–144 of 332 · Most stars
Efficient vision foundation models for high-resolution generation and perception.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
A Markdown browser for your terminal
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
新浪微博爬虫(Scrapy、Redis)
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
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。
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
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)
中文分词
Text outlining and task management for Vim based on Emacs' Org-Mode
OpenMMLab Model Deployment Framework
Got Your Back (GYB) is a command line tool for backing up your Gmail messages to your computer using Gmail's API over HTTPS.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Unofficial API for YouTube Music
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
A Simple and Versatile Framework for Object Detection and Instance Recognition
Mask RCNN in TensorFlow
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.
Sandbox for training deep learning networks