{"id":26022786,"url":"https://github.com/masterskepticista/rooftop-instance-segmentation","last_synced_at":"2025-03-06T10:36:55.209Z","repository":{"id":39724797,"uuid":"196437140","full_name":"MasterSkepticista/Rooftop-Instance-Segmentation","owner":"MasterSkepticista","description":"VGG-16 Model to Segment Rooftops from Aerial Imagery","archived":false,"fork":false,"pushed_at":"2022-11-21T22:01:11.000Z","size":2323,"stargazers_count":20,"open_issues_count":3,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2023-03-08T22:44:06.127Z","etag":null,"topics":["instance-segmentation","rooftop-segmentation","tensorflow","vgg16","vgg16-python"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/MasterSkepticista.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":"2019-07-11T17:19:38.000Z","updated_at":"2023-02-25T21:12:05.000Z","dependencies_parsed_at":"2022-09-20T09:34:18.425Z","dependency_job_id":null,"html_url":"https://github.com/MasterSkepticista/Rooftop-Instance-Segmentation","commit_stats":null,"previous_names":[],"tags_count":null,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterSkepticista%2FRooftop-Instance-Segmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterSkepticista%2FRooftop-Instance-Segmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterSkepticista%2FRooftop-Instance-Segmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterSkepticista%2FRooftop-Instance-Segmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MasterSkepticista","download_url":"https://codeload.github.com/MasterSkepticista/Rooftop-Instance-Segmentation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242194098,"owners_count":20087508,"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":["instance-segmentation","rooftop-segmentation","tensorflow","vgg16","vgg16-python"],"created_at":"2025-03-06T10:36:54.562Z","updated_at":"2025-03-06T10:36:55.198Z","avatar_url":"https://github.com/MasterSkepticista.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Rooftop Instance Segmentation using TensorFlow\n### Aerial Imagery Dataset provided by National Topographic Office of New Zealand\n\nSample Outputs (downsized):\n\n\u003cimg src=\"sample_out(0).png\" alt=\"Result\" width=\"200\"\u003e \u003cimg src=\"sample_out(1).png\" alt=\"Result\" width=\"200\"/\u003e\n\u003cimg src=\"sample_out(2).png\" alt=\"Result\" width=\"200\"/\u003e\n\nLink: https://www.airs-dataset.com/\n\nExtract the dataset completely, store in this format:\n\n```bash\n# Training images\nroot/data/train/image\n# Labels\nroot/data/train/label\n# Test samples\nroot/data/test\n```\n\nModel Used: VGG-16, Instance Segmentation\n\nThe script was written on older version of TensorFlow (1.15.x and lower). \n\nSome newer python versions do not include the listing of older TF. \n\nYou can downgrade to Python 3.6.x to use it, or use a python virtualenv to install specific python binary (recommended).\n\nInstall deps with the following command.\n\n```python\npip install -r requirements.txt\n```\n\nTrained on Nvidia Quadro GP100 with 16GB VRAM. Batch Size:2 Input resolution 3584x3584.\n\nTraining Time: 12 hours\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmasterskepticista%2Frooftop-instance-segmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmasterskepticista%2Frooftop-instance-segmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmasterskepticista%2Frooftop-instance-segmentation/lists"}