winterchaufr Goto Github PK

sdcnd_vehicle_detection

Using computer vision and machine learning techniques to find vehicles in an image

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-anything-nerf

Segment-anything interactively in NeRF.

segment-geospatial

Meta AI's Segment Anything Model (SAM) for Geospatial Data

segmentanything3d

SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds.

segmentanythingin3d

Segment Anything in 3D with NeRFs

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semantic-segmentation-of-remote-sensing-images

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

sensorview

Generate a simple timeseries plot of remote sensing sensors

sentinel2_level1c_to_l2agee

Python script to process Sentinel 2 Level 1C data to L2A and upload spatial subset to GEE

sentinelhub-py

Download and process satellite imagery in Python using Sentinel Hub services.

sepal-doc

Documentation of the SEPAL platform (https://sepal.io)

sfl

Hyperspectral Image Classification with Spatial Filtering and ℓ₂,₁ Norm

sfm-visual-slam

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

shadow-detection-algorithm-for-aerial-and-satellite-images

Python implementation of shadow detection and correction algorithm proposed in academia

ship

An open package for supervised hyperspectral image classification task.

sid

Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"

simflight

Simulation environment for flight systems

simple-autoencoder

Script to train a simple autoencoder on tiled images using Tensorflow/Keras

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

sitchensis

python-based program to error check and calculate geometry of 3D tree crown-mapping data

sits-moco

sla

[RS 2021] Official implementation of "Sparse Label Assignment for Oriented Object Detection inAerial Images"

slambook2

edition 2 of the slambook

slam_toolbox

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

snazzy-ee-ts-gif

Apps for creating Landsat time series animations

soilplantatmosphere

The SPA (Soil-Plant-Atmosphere) model of MWilliams et al.

speciesrichness-glmvsrf-lidar

R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029