kuaitoukid

kuaitoukid's Stars

• yatengLG/ISAT_with_segment_anything

  Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

  Language:Python1.2k131

• 3017218062/Pytorch-Lightning-Learning

  Pytorch Lightning入门中文教程，转载请注明来源。（当初是写着玩的，建议看完MNIST这个例子再上手）

  Language:Jupyter Notebook18018

• JiehongLin/SAM-6D

  [CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".

  Language:Python32428

• NVlabs/FoundationPose

  [CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

  Language:Python1.4k184

• qq456cvb/CPPF2

  6D Pose Estimation in the Wild

  Language:Jupyter Notebook222

• Vincentqyw/image-matching-webui

  🤗 image matching toolbox webui

  Language:Python71558

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.7k485

• NVlabs/BundleSDF

  [CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

  Language:Python1k113

• JingwenWang95/KinectFusion

  KinectFusion implemented in Python with PyTorch

  Language:Python17722

• tianrun-chen/SAM-Adapter-PyTorch

  Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

  Language:Python1k89

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k633

• rdk/p2rank

  P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

  Language:Groovy24234

• qq456cvb/OneLoc

  OneLoc: One-Shot General Object Localization

  Language:Cuda53

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript11.9k42.6k

• princeton-vl/Coupled-Iterative-Refinement

  Language:Python10520

• zsef123/Connected_components_PyTorch

  A PyTorch implementation of Connected Components Labeling

  Language:Jupyter Notebook10624

• ChuanqiTan/concurrent_helper

  The Simplest and Most Powerful Concurrent Helper

  Language:Python32

• vitalemonate/depth2Cloud

  A python implement of converting a depth map to point cloud

  Language:Python859

• qq456cvb/CPPF

  CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild (CVPR2022)

  Language:Jupyter Notebook499

• liuliu66/LabelArticulation

  an articulated object annotation tool

  Language:Python14

• facebookresearch/r3m

  Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data

  Language:Python28645

• arthurdouillard/CVPR2021_PLOP

  Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

  Language:Python14323

• GXYM/DRRG

  Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

  Language:C++27060

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.7k2k

• bowenc0221/panoptic-deeplab

  This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

  Language:Python585117

• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

  Language:C++4.4k768

• tensorpack/tensorpack

  A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

  Language:Python6.3k1.8k

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5k1.3k

• CSAILVision/semantic-segmentation-pytorch

  Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

  Language:Python4.9k1.1k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16k6.9k