{"id":16916784,"url":"https://github.com/ternaus/iglovikov_segmentation","last_synced_at":"2025-10-09T08:35:18.808Z","repository":{"id":87572885,"uuid":"214087415","full_name":"ternaus/iglovikov_segmentation","owner":"ternaus","description":"Semantic segmentation pipeline using Catalyst.","archived":false,"fork":false,"pushed_at":"2020-04-03T02:16:39.000Z","size":89,"stargazers_count":20,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-04-11T16:25:12.546Z","etag":null,"topics":["cityscapes","computer-vision","deep-learning","python","semantic-segmentation"],"latest_commit_sha":null,"homepage":"","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/ternaus.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"docs/contributing.rst","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}},"created_at":"2019-10-10T04:35:44.000Z","updated_at":"2020-05-31T02:09:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"0e92f7bf-1f04-443b-b0b1-64bbebf7795e","html_url":"https://github.com/ternaus/iglovikov_segmentation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ternaus/iglovikov_segmentation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ternaus%2Figlovikov_segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ternaus%2Figlovikov_segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ternaus%2Figlovikov_segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ternaus%2Figlovikov_segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ternaus","download_url":"https://codeload.github.com/ternaus/iglovikov_segmentation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ternaus%2Figlovikov_segmentation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279001055,"owners_count":26082991,"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","status":"online","status_checked_at":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["cityscapes","computer-vision","deep-learning","python","semantic-segmentation"],"created_at":"2024-10-13T19:29:50.953Z","updated_at":"2025-10-09T08:35:18.792Z","avatar_url":"https://github.com/ternaus.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Installation\n\nRun `pip install -r requirements.txt` to install all requred libraries.\n\n# Data preparation\n## Cityscapes\n\n1. Use [this](https://github.com/ternaus/iglovikov_helper_functions/tree/master/iglovikov_helper_functions/data_processing/cityscapes)\nguide to prepare the data.\n2. Put prepared data to the `data` folder or modify path to the train and test files in the config file.\n\n\n# Training\nAlmost all trainining parameters are specified in the config file. You may check examples in the configs folder.\n\nYou may star training, running:\n\n`python -m src.train \u003cpath_to_config_file\u003e`\n\n# Inference\n\nRun:\n\n```\npython -m src.inference -c \u003cpath to config\u003e \\\n                        -i \u003cpath to input images\u003e \\\n                        -o \u003coutput_path\u003e \n                        -w \u003cpath to pth file with weights\u003e \\\n                        -b \u003cbatch size\u003e \\\n                        -j \u003cnum_cpu_threads\u003e\n```\n\n# Contributing \nTo contribute follow [this guide.](docs/contributing.rst)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fternaus%2Figlovikov_segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fternaus%2Figlovikov_segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fternaus%2Figlovikov_segmentation/lists"}