lixk20dada

lixk20dada's Stars

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python9.3k1171.6k1.2k

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.3k57203682

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.4k531141k

• ChaoningZhang/MobileSAM

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

  Language:Jupyter Notebook4.7k44123481

• TixiaoShan/LIO-SAM

  LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

  Language:C++3.3k804641.2k

• HKUST-Aerial-Robotics/A-LOAM

  Advanced implementation of LOAM

  Language:C++2.1k5464794

• TixiaoShan/LVI-SAM

  LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

  Language:C++1.5k3567452

• SJTU-ViSYS/M2DGR

  M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)

  86718105116

• spectralpython/spectral

  Python module for hyperspectral image processing

  Language:Python57336134139

• gisbi-kim/SC-A-LOAM

  Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.

  Language:C++438142695

• url-kaist/AlterGround-LeGO-LOAM

  The page for PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry

  Language:C++1707721

• cgbcgb/A-LOAM-NOTED

  Chinese annotated version of A-LOAM

  Language:C++1470160

• BrenYi/Light-LOAM

  (Beta Version)Code for paper "Light-LOAM: A Lightweight LiDAR Odometry and Mapping based on Graph-Matching"

  Language:C++1004211

• jyakaranda/A-LeGO-LOAM

  Advance-LeGO-LOAM

  Language:C++563631

• flex-transformer/MSF_LOAM

  Multi-Sensor Fusion SLAM Based on A-LOAM.

  Language:C++544023

• IMSY-DKFZ/htc

  Semantic organ segmentation for hyperspectral images.

  Language:Jupyter Notebook296106

• Vikki23/SLIC_for_hyperspectral_images

  This set of files contains the Matlab code for the SLIC segmentation on the hyperspectral images.

  Language:C++24206

• rachit-ranjan16/CrownSeg

  Tree Crown Image Segmentation through Clustering with RGB, Hyperspectral and LiDAR as inputs

  Language:Python23316

• ygjia/HyperspectralData-Processing-Tool

  This is the source code of our data processing tool that we used for processing hyperspectral data in our paper (Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging).

  Language:Python19005

• mpBarbato/Unsupervised-Segmentation-of-Hyperspectral-Remote-Sensing-Images-with-Superpixels

  Language:MATLAB16200

• obravo7/Hyperspectral-Image-Segmentation-using-Support-Vector-Machines

  This script utilizes an open source SVM library for image classification and segmentation of hyperspectral image data

  Language:MATLAB114

• AI-Elmanawy/Hyperspectral-image-analysis

  Open-source software for analyzing hyperspectral images and other sets of plant phenotyping data.

  Language:Python9120

• all-inone/V-LOAM

  This a simple implementation of V-LOAM

  9411

• liquorleaf/loam_maskrcnn_semantic_mapping

  LOAM and Mask R-CNN Semantic Mapping: semantic labelling for lidar point cloud with a color and a depth camera.

  Language:C++70

• kingardor/Hyperspectral-Imaging

  Python Script to process Hyperspectral images using openCV and TensorFlow

  Language:Python6115

• arunchandrapant/movierental-graphql

  A proof of concept application demonstrating implementation of graphql in python using fast-api and strawberry libraries and pagila dataset

  Language:Python2100

• Shakzhaf/Fruits_Classifier_CNN

  A high-quality, dataset of images containing fruits. The following fruits are included: Apples (different varieties: Golden, Golden-Red, Granny Smith, Red, Red Delicious), Apricot, Avocado, Avocado ripe, Banana (Yellow, Red), Cactus fruit, Cantaloupe (2 varieties), Carambula, Cherry (different varieties, Rainier), Cherry Wax (Yellow, Red, Black), Clementine, Cocos, Dates, Granadilla, Grape (Pink, White, White2), Grapefruit (Pink, White), Guava, Huckleberry, Kiwi, Kaki, Kumsquats, Lemon (normal, Meyer), Lime, Lychee, Mandarine, Mango, Maracuja, Melon Piel de Sapo, Mulberry, Nectarine, Orange, Papaya, Passion fruit, Peach, Pepino, Pear (different varieties, Abate, Monster, Williams), Physalis (normal, with Husk), Pineapple (normal, Mini), Pitahaya Red, Plum, Pomegranate, Quince, Rambutan, Raspberry, Salak, Strawberry (normal, Wedge), Tamarillo, Tangelo, Tomato (different varieties, Maroon, Cherry Red), Walnut.

  Language:Jupyter Notebook2200

• hakyurek/natix

  Hyperspectral imaging segmentation algorithm

  Language:Matlab13

• shaikabiri/hyperGUI

  A Versatile Tool for Hyperspectral Image Analysis and Data Extraction

  Language:R1

• shanwai1234/Plant-hyperspectral-image-processing

  Plant hyperspectral image processing in python-opencv

  Language:Jupyter Notebook1204