zensenlon

zensenlon's Stars

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python30.3k2331.8k8k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.4k1974.1k5.3k

• aim-uofa/AdelaiDet

  AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

  Language:Python3.4k84544647

• opengeos/segment-geospatial

  A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

  Language:Python2.9k59133302

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.2k30157165

• wenhwu/awesome-remote-sensing-change-detection

  List of datasets, codes, and contests related to remote sensing change detection

  1.6k4418327

• microsoft/GlobalMLBuildingFootprints

  Worldwide building footprints derived from satellite imagery

  Language:Python1.4k6586202

• IDEA-Research/MaskDINO

  [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

  Language:Python1.2k34108103

• OvertureMaps/data

  Overture Maps Data

  Language:Python9567810138

• zsyOAOA/ResShift

  ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)

  Language:Python873159148

• showlab/Image2Paragraph

  [A toolbox for fun.] Transform Image into Unique Paragraph with ChatGPT, BLIP2, OFA, GRIT, Segment Anything, ControlNet.

  Language:Python787112853

• KyanChen/RSPrompter

  This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

  Language:Python512611135

• aliaksandr960/segment-anything-eo

  Earth observation tools for Meta AI Segment Anything

  Language:Jupyter Notebook4029843

• ChenDelong1999/RemoteCLIP

  🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

  Language:Jupyter Notebook27653717

• om-ai-lab/RS5M

  RS5M: a large-scale vision language dataset for remote sensing [TGRS]

  Language:Python19711229

• LiWentomng/boxlevelset

  The code for "Box-supervised Instance Segmentation with Level Set Evolution(ECCV2022)"

  Language:Python19152425

• hustvl/BoxTeacher

  [CVPR 2023] Exploring High-Quality Pseudo Masks for Weakly Supervised Instance Segmentation

  Language:Python747123

• xwmaxwma/rschange

  Change detection of remote sensing images

  Language:Python47374

• zhenyuw16/noisyboundaries

  Language:Python392136

• jankyee/URUR

  31302

• mxbh/robust_object_detection

  Language:Python29303

• hujiecpp/PAIS

  Code release for paper "Pseudo-label Alignment for Semi-supervised Instance Segmentation" [ICCV 2023]

  Language:Python24262

• liaochengcsu/BCE-Net

  A reliable building footprints change extraction network based on historical map and up-to-date images

  Language:Python24340

• michaelofsbu/SpatialCorrection

  Learning to Segment from Noisy Annotations: A Spatial Correction Approach

  Language:Python16122

• bobleegogogo/building_height

  Language:Python11504

• wangsr126/NDet

  Our recent work on TIP2022: Narrowing the Gap: Improved Detector Training with Noisy Location Annotations

  Language:Python5130

• Project-PLATEAU/Building-matching-WebAPI

  2D建物ポリゴン/3D点群データと3D都市モデルのマッチングを行うシステム

  Language:Python3132

• sekilab/Japan_footprint_dataset

  The Japan Footprint Dataset comprises approximately 50 million building footprints located within Japan extracted from Mapbox satellite imagery through the utilization of instance segmentation methods

  350

• sekilab/VehicleReIdentificationDataset

  Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model

  Language:Jupyter Notebook3410

• go125/UC22-008-Building-matching-WebAPI

  2D 地図データおよび 3D 点群データを 3D都市モデルの建物データと突合し、建物 ID との関連付けを行うWebAPI 機能を提供するサービスアプリケーションです。

  Language:Python1000