{"id":16115621,"url":"https://github.com/kornelski/mss_saliency","last_synced_at":"2026-02-28T02:02:20.280Z","repository":{"id":57641782,"uuid":"92783098","full_name":"kornelski/mss_saliency","owner":"kornelski","description":"Detection of visually salient image regions using Maximum Symmetric Surround algorithm","archived":false,"fork":false,"pushed_at":"2024-08-04T19:56:26.000Z","size":12,"stargazers_count":8,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-01-11T13:33:39.002Z","etag":null,"topics":["autocrop","rust-library","saliency","saliency-map"],"latest_commit_sha":null,"homepage":"https://lib.rs/mss_saliency","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kornelski.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-05-29T23:37:15.000Z","updated_at":"2024-08-04T19:56:28.000Z","dependencies_parsed_at":"2022-09-05T13:11:52.578Z","dependency_job_id":null,"html_url":"https://github.com/kornelski/mss_saliency","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kornelski%2Fmss_saliency","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kornelski%2Fmss_saliency/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kornelski%2Fmss_saliency/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kornelski%2Fmss_saliency/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kornelski","download_url":"https://codeload.github.com/kornelski/mss_saliency/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233794924,"owners_count":18731360,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["autocrop","rust-library","saliency","saliency-map"],"created_at":"2024-10-09T20:19:20.374Z","updated_at":"2025-09-21T20:32:12.450Z","avatar_url":"https://github.com/kornelski.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Maximum Symmetric Surround\n\n[Rust](https://www.rust-lang.org/) implementation of [Maximum Symmetric Surround algorithm](https://www.epfl.ch/labs/ivrl/research/saliency/saliency-msss/) by Radhakrishna Achanta.\n\nIt's a simple and fast algorithm that aims to detect \"interesting\" areas in the image that stand out from the background.\n\nThe implementation is only a single function that takes a 1-channel image and outputs a saliency map.\n\n## Installation\n\nIt's a [Cargo crate](https://crates.io/crates/mss_saliency):\n\n```sh\ncargo add mss_saliency\n```\n\n## Usage\n\n[Documentation](https://docs.rs/mss_saliency).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkornelski%2Fmss_saliency","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkornelski%2Fmss_saliency","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkornelski%2Fmss_saliency/lists"}