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algortihmsanddatastructures

attention-graph-convolution-network-for-image-segmentation-in-big-sar-imagery-data

the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"

awesome-rust-machinelearning

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

cabinet

CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation (ICRA2021)

computervision

depth-anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

depthai-viewer

Log images, point clouds, etc, and visualize them effortlessly. Built in Rust using egui

disparity-map

Disparity maps using various algorithms

euler

A distributed graph deep learning framework.

flash

Create, train and deploy AI models without writing code

graph-convolutional-network

convolution operations on graphs, in GCN the convolution operation considers both the node and its neighboring nodes

image-segmentation

A graph-based image segmentation algorithm

itpn

(CVPR2023) Integrally Pre-Trained Transformer Pyramid Networks

landuavsafe-dataset

LandUAVSafe Dataset : Surface inclination angle estimation using images.

loosecontrol

Lifting ControlNet for Generalized Depth Conditioning

lwanetstereo

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

opencv

Open Source Computer Vision Library

primestereomatch

A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

pytorch-high-res-stereo-depth-estimation

Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .

pytorch_geometric

Graph Library PyTorch

rectified-features

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

region-adjacency-graph-

RAG , outputs nodes, edges and assocaited weights

robotics

safety_pipeline_uav

A Lightweight Pipeline for landing obstacles avoidance and safe landing zone extraction

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

sgbm-

stereo-adaptive-weights

stereo with adaptive support weights (Yoon&Kweon, PAMI 2006)

sub-depth

Official implementation of "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation" 2021