Rust Computer Vision's repositories
ndarray-vision
Computer vision library built on top of ndarray
levenberg-marquardt
Provides abstractions to run Levenberg-Marquardt optimization
ndarray-image
Allows conversion between ndarray's types and image's types
hamming-lsh
Generates and utilizes deterministic dictionaries to generate balanced locality-sensitive hashes (similar to simhash) for arbitrary hamming space features
header-vec
Allows one to store a header struct and a vector all inline in the same memory on the heap and share weak versions for minimizing random lookups in data structures
sample-consensus
Provides abstractions for sample consensus algorithms such as RANSAC
rust-cv.github.io
Website and resources for Rust CV
cv-optimize
Provides optimizers for common computer vision problems
cv-pinhole
Pinhole camera model for Rust CV
eight-point
Implements the eight-point algorithm for estimating the essential matrix
hamming-dict
Generates codeword dictionaries for hamming-space BoW algorithms
lambda-twist
Relative camera pose from three 3d to 2d correspondences
vslam-sandbox
A sandbox for integrating upstream vslam algorithms
hamming-bow
Binary TF vector generator for bags of hamming space features
hamming-tree
A tree data structure in hamming space
pgat
Proxy GAT: Abstractions for generic proxy views with GAT to enable generic container types