{"id":21203361,"url":"https://github.com/shruagarwal/magical_image_art","last_synced_at":"2026-05-02T20:36:30.097Z","repository":{"id":158160614,"uuid":"530840153","full_name":"ShruAgarwal/Magical_Image_Art","owner":"ShruAgarwal","description":"Try this Streamlit App and receive three different styled effects out of an Image! 😉🌈","archived":false,"fork":false,"pushed_at":"2023-01-14T05:48:53.000Z","size":13632,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-21T15:14:17.818Z","etag":null,"topics":["numpy","opencv-python","pillow","python","streamlit"],"latest_commit_sha":null,"homepage":"","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/ShruAgarwal.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-08-30T21:39:29.000Z","updated_at":"2022-09-13T14:45:52.000Z","dependencies_parsed_at":"2023-07-12T21:01:13.555Z","dependency_job_id":null,"html_url":"https://github.com/ShruAgarwal/Magical_Image_Art","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/ShruAgarwal%2FMagical_Image_Art","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShruAgarwal%2FMagical_Image_Art/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShruAgarwal%2FMagical_Image_Art/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShruAgarwal%2FMagical_Image_Art/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ShruAgarwal","download_url":"https://codeload.github.com/ShruAgarwal/Magical_Image_Art/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243658152,"owners_count":20326464,"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":["numpy","opencv-python","pillow","python","streamlit"],"created_at":"2024-11-20T20:23:27.536Z","updated_at":"2026-05-02T20:36:30.052Z","avatar_url":"https://github.com/ShruAgarwal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Magical Image Art ✨🤯\n\n### Try it here : [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://magical-image-art.streamlitapp.com/)\n\n\n**This App can** :\n - Convert \u0026 Apply three different styling effects to an Image 🌈\n - Style Effects are --\u003e *Pop / dotted art, Cartoon art, Water Color Painted art*\n\n### 🕹 App Demo\n![alt text](https://github.com/ShruAgarwal/Magical_Image_Art/blob/main/demo.gif)\n \n ### 🛠 App is built with libraries \n 1️⃣ `opencv` -- for applying effects on the image\n \n 2️⃣ `numpy`  -- is used to convert, read, perform array methods on the image \n \n 3️⃣ `Pillow` -- used to convert the numpy array \u0026 return back an image  \n \n 4️⃣ `streamlit` -- for hosting the UI for the App\n \n \u003c!--5️⃣ `streamlit_image_comparison` -- for showcasing the effects applied!--\u003e\n \n ### 💡 Idea behind building this App \n Well, I've already tried the `Pencil Sketch Effect` using OpenCV, but never thought of applying such amazing effects on an Image using Python! \n Learnt a lot while trying these effects as well as unleashed the power of OpenCV in general. 😉\n \n### References\n\u003c!-- #--\u003e\n- [OpenCV Docs](https://docs.opencv.org/4.x/index.html)\n- [Amazing Article for creating Pop Art Image](https://www.analytics-link.com/post/2019/07/11/creating-pop-art-using-opencv-and-python)\n- [Github repo for Water Color Art](https://github.com/Aman-Preet-Singh-Gulati/photo2-watercolor-art)\n- [Component repo for Image Comparison](https://github.com/fcakyon/streamlit-image-comparison)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshruagarwal%2Fmagical_image_art","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshruagarwal%2Fmagical_image_art","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshruagarwal%2Fmagical_image_art/lists"}