{"id":13856976,"url":"https://github.com/CosmiQ/solaris","last_synced_at":"2025-07-13T19:34:00.696Z","repository":{"id":41337454,"uuid":"184316081","full_name":"CosmiQ/solaris","owner":"CosmiQ","description":"CosmiQ Works Geospatial Machine Learning Analysis Toolkit","archived":false,"fork":false,"pushed_at":"2022-10-20T19:01:33.000Z","size":28219,"stargazers_count":414,"open_issues_count":93,"forks_count":112,"subscribers_count":31,"default_branch":"main","last_synced_at":"2024-11-08T11:43:28.329Z","etag":null,"topics":["computervision","deeplearning","geo","geospatial","gis","machinelearning","python"],"latest_commit_sha":null,"homepage":"https://solaris.readthedocs.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CosmiQ.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-30T18:59:39.000Z","updated_at":"2024-11-02T03:37:58.000Z","dependencies_parsed_at":"2022-09-14T00:11:10.988Z","dependency_job_id":null,"html_url":"https://github.com/CosmiQ/solaris","commit_stats":null,"previous_names":[],"tags_count":9,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CosmiQ%2Fsolaris","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CosmiQ%2Fsolaris/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CosmiQ%2Fsolaris/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CosmiQ%2Fsolaris/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CosmiQ","download_url":"https://codeload.github.com/CosmiQ/solaris/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225912470,"owners_count":17544183,"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":["computervision","deeplearning","geo","geospatial","gis","machinelearning","python"],"created_at":"2024-08-05T03:01:21.047Z","updated_at":"2024-11-22T14:31:41.512Z","avatar_url":"https://github.com/CosmiQ.png","language":"Python","funding_links":[],"categories":["Python","Deep Learning \u0026 Computer Vision","Deep Learning"],"sub_categories":["High-performance \u0026 Rust","Deep Learning Framework for Geospatial"],"readme":"\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://github.com/CosmiQ/solaris/raw/master/static/sol_logo.png\" width=\"350\" alt=\"Solaris\"\u003e\n\u003c/p\u003e\n\u003ch2 align=\"center\"\u003eAn open source ML pipeline for overhead imagery by \u003ca href=http://www.cosmiqworks.org\u003eCosmiQ Works\u003c/a\u003e\u003c/h2\u003e\n\u003cp align=\"center\"\u003e\n\u003cimg align=\"center\" src=\"https://img.shields.io/pypi/pyversions/solaris.svg\" alt=\"PyPI python version\" href=\"https://pypi.org/project/solaris/\"\u003e\n\u003cimg align=\"center\" src=\"https://img.shields.io/pypi/v/solaris.svg\" alt=\"PyPI\" href=\"https://pypi.org/project/solaris/\"\u003e\n\u003c!-- \u003cimg align=\"center\" src=\"https://img.shields.io/conda/vn/conda-forge/cw-eval.svg\" alt=\"conda-forge\"\u003e --\u003e\n\u003cimg align=\"center\" src=\"https://travis-ci.com/CosmiQ/solaris.svg?branch=master\" alt=\"build\"\u003e\n\u003cimg align=\"center\" src=\"https://readthedocs.org/projects/solaris/badge/\" alt=\"docs\"\u003e\n\u003cimg align=\"center\" src=\"https://img.shields.io/github/license/cosmiq/solaris.svg\" alt=\"license\"\u003e\n\u003c!-- \u003cimg align=\"center\" src=\"https://img.shields.io/docker/build/cosmiqworks/cw-eval.svg\" alt=\"docker\"\u003e --\u003e\n\u003ca href=\"https://codecov.io/gh/CosmiQ/solaris\"\u003e\u003cimg align=\"center\" src=\"https://codecov.io/gh/CosmiQ/solaris/branch/master/graph/badge.svg\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n## This is a beta version of Solaris which may continue to develop. Please report any bugs through issues!\n\n- [Documentation](#documentation)\n- [Installation Instructions](#installation-instructions)\n- [Dependencies](#dependencies)\n- [License](#license)\n---\n\nThis repository provides the source code for the CosmiQ Works `solaris` project, which provides software tools for:\n- Tiling large-format overhead images and vector labels\n- Converting between geospatial raster and vector formats and machine learning-compatible formats\n- Performing semantic and instance segmentation, object detection, and related tasks using deep learning models designed specifically for overhead image analysis\n- Evaluating performance of deep learning model predictions\n\n## Documentation\nThe full documentation for `solaris` can be found at https://solaris.readthedocs.io, and includes:\n- A summary of `solaris`\n- Installation instructions\n- API Documentation\n- Tutorials for common uses\n\nThe documentation is still being improved, so if a tutorial you need isn't there yet, check back soon or post an issue!\n\n## Installation Instructions\n\n_coming soon_: One-command installation from conda-forge.\n\nWe recommend creating a `conda` environment with the dependencies defined in [environment.yml](./environment.yml) before installing `solaris`. After cloning the repository:\n```\ncd solaris\n```\n\nIf you're installing on a system with GPU access:\n```\nconda env create -n solaris -f environment-gpu.yml\n```\nOtherwise:\n```\nconda env create -n solaris -f environment.yml\n```\n\nFinally, regardless of your installation environment:\n```\nconda activate solaris\npip install .\n```\n\n#### pip\n\n\nThe package also exists on[ PyPI](https://pypi.org), but note that some of the dependencies, specifically [rtree](https://github.com/Toblerity/rtree) and [gdal](https://www.gdal.org), are challenging to install without anaconda. We therefore recommend installing at least those dependencies using `conda` before installing from PyPI.\n\n```\nconda install -c conda-forge rtree gdal=2.4.1\npip install solaris\n```\n\nIf you don't want to use `conda`, you can [install libspatialindex](https://libspatialindex.org), then `pip install rtree`. Installing GDAL without conda can be very difficult and approaches vary dramatically depending upon the build environment and version, but [the rasterio install documentation](https://rasterio.readthedocs.io/en/stable/installation.html) provides OS-specific install instructions. Simply follow their install instructions, replacing `pip install rasterio` with `pip install solaris` at the end.\n\n\u003c!-- #### Docker\n\nYou may also use our Docker container:\n```\ndocker pull cosmiqworks/solaris\n``` --\u003e\n\n\u003c!-- ## API Documentation\nSee the [readthedocs](https://cw-eval.readthedocs.io/) page. --\u003e\n\n## Dependencies\nAll dependencies can be found in the requirements file [./requirements.txt](requirements.txt) or\n[environment.yml](./environment.yml)\n\n## License\nSee [LICENSE](./LICENSE.txt).\n\u003c!--\n## Traffic\n![GitHub](https://img.shields.io/github/downloads/cosmiq/cw-eval/total.svg)\n![PyPI](https://img.shields.io/pypi/dm/cw-eval.svg)\n![Conda](https://img.shields.io/conda/dn/conda-forge/cw-eval.svg) --\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCosmiQ%2Fsolaris","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FCosmiQ%2Fsolaris","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCosmiQ%2Fsolaris/lists"}