{"id":19511612,"url":"https://github.com/joseph-pq/awive","last_synced_at":"2025-04-26T03:32:34.877Z","repository":{"id":62808854,"uuid":"426105872","full_name":"joseph-pq/awive","owner":"joseph-pq","description":"Adaptive Water Image Velocimetry Estimator for river flow measurements","archived":false,"fork":false,"pushed_at":"2025-04-13T02:12:42.000Z","size":1116,"stargazers_count":5,"open_issues_count":6,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-13T02:25:39.455Z","etag":null,"topics":["flow","image-velocimetry","python","river"],"latest_commit_sha":null,"homepage":"https://joseph-pq.github.io/awive/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joseph-pq.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-11-09T05:42:26.000Z","updated_at":"2025-04-13T02:08:32.000Z","dependencies_parsed_at":"2024-09-21T07:20:13.316Z","dependency_job_id":"36a27dc4-b1a7-4fb8-940b-8d2b9e67c4ef","html_url":"https://github.com/joseph-pq/awive","commit_stats":null,"previous_names":["josephpenaquino/awive","josephpenaquino/adaptive-water-image-velocimetry-estimator","joseph-pq/awive"],"tags_count":15,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joseph-pq%2Fawive","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joseph-pq%2Fawive/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joseph-pq%2Fawive/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joseph-pq%2Fawive/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joseph-pq","download_url":"https://codeload.github.com/joseph-pq/awive/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250926949,"owners_count":21509059,"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":["flow","image-velocimetry","python","river"],"created_at":"2024-11-10T23:21:53.566Z","updated_at":"2025-04-26T03:32:34.871Z","avatar_url":"https://github.com/joseph-pq.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\n# AWIVE\n\n[![python](https://img.shields.io/badge/-Python_3.9-blue?logo=python\u0026logoColor=white)](https://docs.python.org/3.9/)\n[![opencv](https://img.shields.io/badge/OpenCV_4.6-ee4c2c?logo=opencv\u0026logoColor=white)](https://opencv.org/releases/)\n\u003cbr\u003e\n[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n[![pre-commit](https://img.shields.io/badge/Pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white)](https://github.com/pre-commit/pre-commit)\n\u003cbr\u003e\n[![Code Quality](https://github.com/joseph-pq/awive/actions/workflows/code-quality.yml/badge.svg)](https://github.com/joseph-pq/awive/actions/workflows/code-quality.yml)\n[![Tests](https://github.com/joseph-pq/awive/actions/workflows/tests.yaml/badge.svg)](https://github.com/joseph-pq/awive/actions/workflows/tests.yaml)\n[![codecov](https://codecov.io/gh/joseph-pq/awive/graph/badge.svg?token=JYOVV0D79Iq)](https://codecov.io/gh/joseph-pq/awive)\n\u003cbr\u003e\n[![license](https://img.shields.io/badge/License-MIT-green.svg?labelColor=gray)](https://github.com/nathanpainchaud/lightning-hydra-template?tab=MIT-1-ov-file)\n\n\u003c/div\u003e\n\n\u003cbr\u003e\n\nAWIVE, an acronym for Adaptive Water Image Velocimetry Estimator, is a\nsoftware package designed for estimating the velocity field from a sequence of\nimages. It comprises two methods: STIV and OTV, both geared towards achieving\nvelocity estimations with low computational costs.\n\n## Installing\n\nInstall and update using pip:\n\n```bash\npip install awive\n```\n\n## Usage\n\nIf you want to know how to configure the json file, use the [awive configurator](https://github.com/JosephPenaQuino/awive-configurator)\nExecute the commands below:\n\n```\npyenv local 3.11.2\npoetry install\npoetry run python -m awive.otv river-brenta d0000 -v\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoseph-pq%2Fawive","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoseph-pq%2Fawive","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoseph-pq%2Fawive/lists"}