{"id":19513240,"url":"https://github.com/szymciem8/semantic-image-synthesis","last_synced_at":"2026-04-28T16:02:53.610Z","repository":{"id":136264205,"uuid":"582444587","full_name":"szymciem8/Semantic-Image-Synthesis","owner":"szymciem8","description":"Generative models that generate paintings in the style of Bob Ross based on segmentation images.","archived":false,"fork":false,"pushed_at":"2023-11-26T22:10:11.000Z","size":93095,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T12:11:06.234Z","etag":null,"topics":["fastapi","gan","gaugan","machine-learning","pix2pix","spade","streamlit","tensorflow","tensorflow2"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/szymciem8.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}},"created_at":"2022-12-26T21:22:10.000Z","updated_at":"2023-11-26T21:58:59.000Z","dependencies_parsed_at":"2023-11-26T22:39:46.450Z","dependency_job_id":null,"html_url":"https://github.com/szymciem8/Semantic-Image-Synthesis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FSemantic-Image-Synthesis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FSemantic-Image-Synthesis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FSemantic-Image-Synthesis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/szymciem8%2FSemantic-Image-Synthesis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/szymciem8","download_url":"https://codeload.github.com/szymciem8/Semantic-Image-Synthesis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240762497,"owners_count":19853494,"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":["fastapi","gan","gaugan","machine-learning","pix2pix","spade","streamlit","tensorflow","tensorflow2"],"created_at":"2024-11-10T23:29:12.790Z","updated_at":"2026-04-28T16:02:48.548Z","avatar_url":"https://github.com/szymciem8.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Semantic-Image-Synthesis\n\n![Made with Python](https://img.shields.io/badge/Python-FFD43B?style=flat\u0026logo=python\u0026logoColor=blue)\n![Tensorflow](https://img.shields.io/badge/TensorFlow-FF6F00?style=flat\u0026logo=tensorflow\u0026logoColor=white)\n[![Made with Jupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=flat\u0026logo=Jupyter)](https://jupyter.org/try)\n\n\n## Bob Ross AI Painter\n\nYou can interact with the models through a Streamlit application. \n\n![app](/images/bob-ross-ai-painter-screen-1.png)\n\nThe app is built with Docker. Use the command below to start the app locally. \n```\ndocker-compose -f docker-compose.dev.yml up \n```\n\n## Exmaples of GauGAN\n\n\u003ctable\u003e\n  \u003ctr\u003e\n      \u003ctd\u003eSegmentation Map\u003c/td\u003e\n      \u003ctd\u003eGround Truth\u003c/td\u003e\n      \u003ctd\u003eGenerated Image\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_input_mask_0.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_ground_truth_0.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_prediction_0.png\" width=256\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_input_mask_1.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_ground_truth_1.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_prediction_1.png\" width=256\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_input_mask_2.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_ground_truth_2.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/gaugan_prediction_2.png\" width=256\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n\n## Exmaples of Pix2Pix\n\n\u003ctable\u003e\n  \u003ctr\u003e\n      \u003ctd\u003eSegmentation Map\u003c/td\u003e\n      \u003ctd\u003eGround Truth\u003c/td\u003e\n      \u003ctd\u003eGenerated Image\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\u003cimg src=\"images/input_mask_0.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/ground_truth_0.png\" width=256\u003e\u003c/td\u003e\n    \u003ctd\u003e\u003cimg src=\"images/prediction_0.png\" width=256\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n \u003c/table\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fszymciem8%2Fsemantic-image-synthesis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fszymciem8%2Fsemantic-image-synthesis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fszymciem8%2Fsemantic-image-synthesis/lists"}