{"id":18237475,"url":"https://github.com/himalayaashish/colortrend","last_synced_at":"2025-07-14T18:15:20.789Z","repository":{"id":258524535,"uuid":"872802287","full_name":"himalayaashish/ColorTrend","owner":"himalayaashish","description":"This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images.","archived":false,"fork":false,"pushed_at":"2024-10-17T08:59:21.000Z","size":939,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-08T15:48:33.249Z","etag":null,"topics":["instance-segmentation","object-detection","tensorflow","tensorflow2","unet","unet-image-segmentation","yolov5","yolov8"],"latest_commit_sha":null,"homepage":"","language":null,"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/himalayaashish.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":"2024-10-15T05:21:43.000Z","updated_at":"2024-10-17T09:02:14.000Z","dependencies_parsed_at":"2024-10-20T12:49:48.641Z","dependency_job_id":null,"html_url":"https://github.com/himalayaashish/ColorTrend","commit_stats":null,"previous_names":["himalayaashish/colortrend"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/himalayaashish/ColorTrend","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FColorTrend","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FColorTrend/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FColorTrend/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FColorTrend/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/himalayaashish","download_url":"https://codeload.github.com/himalayaashish/ColorTrend/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himalayaashish%2FColorTrend/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265328388,"owners_count":23747893,"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","object-detection","tensorflow","tensorflow2","unet","unet-image-segmentation","yolov5","yolov8"],"created_at":"2024-11-05T02:04:42.216Z","updated_at":"2025-07-14T18:15:20.514Z","avatar_url":"https://github.com/himalayaashish.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"## Hello World! \u003cimg alt=\"wave\" src=\"https://raw.githubusercontent.com/MartinHeinz/MartinHeinz/master/wave.gif\" width=\"30px\"\u003e\n\n\u003cdiv align=\"center\"\u003e 🚀 Welcome to my git repo :\u003cb\u003eColorTrends\u003c/b\u003e\u003c/div\u003e\n\n#####   \n\u003cimg src=\"https://github.com/himalayaashish/ColorTrend/blob/main/work-6.png?raw=true\" alt=\"Text Summarization\" width=\"500\"/\u003e\n\n\n#### Color Trends Using YOLO and TensorFlow\n###### This project focuses on altering hair color in images using YOLO (You Only Look Once) and TensorFlow, showcasing innovative techniques in image processing and computer vision. The system leverages YOLO for real-time object detection to accurately identify and segment hair regions within images. TensorFlow is then employed to apply dynamic color changes to the detected hair segments, allowing for a wide range of color trends and styles. This project demonstrates the power of deep learning in creative applications, enabling users to experiment with and visualize different hair colors seamlessly.\n.\n\n###### This project predicts the anomaly on timeseries data conversations using the tensorflow model.\n\n---\n\n## Installation\n\n1. Clone this repository or download the script.\n2. Install the required packages using pip:\n\n```bash\n   pip install -r requirements.txt\n```\n```bash\n   python main.py\n```\n\n\n---\n\n### Languages and Tools \n\n### Languages\n  **Python**:\n  ![Python](https://img.shields.io/badge/-Python-black?style=flat\u0026logo=python)\n  ![Keras](https://img.shields.io/badge/-Keras-D00000?style=flat\u0026logo=Keras)\n  ![Tensorflow](https://img.shields.io/badge/-Tensorflow-gray?style=flat\u0026logo=tensorflow)\n  ![PyTorch](https://img.shields.io/badge/-PyTorch-EE4C2C?style=flat\u0026logo=PyTorch\u0026logoColor=white)\n  ![Pandas](https://img.shields.io/badge/-Pandas-150458?style=flat\u0026logo=Pandas)\n  ![Numpy](https://img.shields.io/badge/-Numpy-lightgray?style=flat\u0026logo=Numpy\u0026logoColor=white)\n  ![Scipy](https://img.shields.io/badge/-Scipy-blue?style=flat\u0026logo=Scipy\u0026logoColor=white)\n  ![Matplotlib](https://img.shields.io/badge/-Matplotlib-black?style=flat\u0026logo=Matplotlib\u0026logoColor=white)\n\n  **JavaScript**: \n  ![JavaScript](https://img.shields.io/badge/-JavaScript-black?style=flat\u0026logo=javascript)\n  ![HTML5](https://img.shields.io/badge/-HTML5-E34F26?style=flat\u0026logo=html5\u0026logoColor=white) \n  ![CSS3](https://img.shields.io/badge/-CSS3-1572B6?style=flat\u0026logo=css3) \n  ![Bootstrap](https://img.shields.io/badge/-Bootstrap-purple?style=flat\u0026logo=bootstrap) \n\n  **SQL:**\n  ![SQL](https://img.shields.io/badge/-SQL-orange?style=flat\u0026logo=sql)\n  ![MySQL](https://img.shields.io/badge/-MySQL-lightgray?style=flat\u0026logo=mysql)\n  ![PostgreSQL](https://img.shields.io/badge/-PostgreSQL-blue?style=flat\u0026logo=postgresql)\n\n### Tools\n\n**Software Development:**\n![Pycharm IDE](https://img.shields.io/badge/PyCharm-000000?logo=PyCharm\u0026logoColor=white)\n![IntelliJ IDEA](https://img.shields.io/badge/-red?style=flat\u0026logo=IntelliJ-IDEA\u0026logoColor=white)\n![Docker](https://img.shields.io/badge/-2496ED?style=flat\u0026logo=Docker\u0026logoColor=white)\n![Jenkins](https://img.shields.io/badge/Jenkins-gray?style=flat\u0026logo=jenkins) \n![XML](https://img.shields.io/badge/-XML-orange?style=flat\u0026logo=xml)\n![JSON](https://img.shields.io/badge/-JSON-lightgray?style=flat\u0026logo=json)\n![Vim](https://img.shields.io/badge/-019733?style=flat\u0026logo=Vim\u0026logoColor=white)\n\n**SDLC:**\n![Agile](https://img.shields.io/badge/Agile-blue?style=flat\u0026logo=Agile\u0026logoColor=white) ![Scrum](https://img.shields.io/badge/Scrum-green?style=flat\u0026logo=Scrum\u0026logoColor=white) ![Kanban](https://img.shields.io/badge/Kanban-red?style=flat\u0026logo=Kanban\u0026logoColor=white)\n\n**Software Engineering:**\n[![Jira](https://img.shields.io/badge/-Jira-0052CC?style=flat\u0026logo=jira\u0026logoColor=white\u0026link=https://github.com/Quananhle)](https://github.com/Quananhle)\n[![Travis](https://img.shields.io/badge/-Travis-red?style=flat\u0026logo=travis\u0026logoColor=white\u0026link=https://github.com/Quananhle)](https://github.com/Quananhle) \n\n**Version Control:**\n![Bitbucket](https://img.shields.io/badge/-Bitbucket-blue?style=flat\u0026logo=bitbucket)\n![Git](https://img.shields.io/badge/-Git-black?style=flat\u0026logo=git) \n![GitHub](https://img.shields.io/badge/-GitHub-181717?style=flat\u0026logo=github)\n\n---\n\n\n\u003c!--START_SECTION:waka--\u003e\n\u003cdiv style=\"display: flex; justify-content: space-between; align-items: center;\"\u003e\n  \u003cimg src=\"http://github-profile-summary-cards.vercel.app/api/cards/profile-details?username=himalayaashish\u0026theme=apprentice\" alt=\"Profile Details\" /\u003e\n  \u003cimg src=\"http://github-profile-summary-cards.vercel.app/api/cards/productive-time?username=himalayaashish\u0026theme=apprentice\u0026utcOffset=8\" alt=\"Productive time\" /\u003e\n  \u003cimg align=\"left\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/repos-per-language?username=himalayaashish\u0026theme=apprentice\" alt=\"Repos per language\" /\u003e\n  \u003cimg align=\"left\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/most-commit-language?username=himalayaashish\u0026theme=apprentice\" alt=\"Most commit language\" /\u003e\n  \u003cimg align=\"center\" src=\"http://github-profile-summary-cards.vercel.app/api/cards/stats?username=himalayaashish\u0026theme=apprentice\" alt=\"Stats\" /\u003e\n\u003c/div\u003e\n\n\n---\n\u003cdiv align=\"center\"\u003e\n  \u003ch3 align=\"center\"\u003eConnect with me\u003cimg align=\"center\" src=\"https://github.com/rajput2107/rajput2107/blob/master/Assets/Handshake.gif\" height=\"33px\" /\u003e\u003c/h3\u003e \n\u003c/div\u003e\n\u003cp align=\"center\"\u003e\n \u003ca href=\"https://www.linkedin.com/in/himalayaashish/\" target=\"blank\"\u003e\n  \u003cimg align=\"center\" alt=\"Pramod's LinkedIn\" width=\"30px\" src=\"https://www.vectorlogo.zone/logos/linkedin/linkedin-icon.svg\" /\u003e \u0026nbsp; \u0026nbsp;\n \u003c/a\u003e\n \u003ca href=\"https://www.kaggle.com/himalayaashish\" target=\"blank\"\u003e\n  \u003cimg align=\"center\" alt=\"Gumalaya's Kaggle\" width=\"60px\" src=\"https://www.vectorlogo.zone/logos/kaggle/kaggle-ar21.svg\" /\u003e \u0026nbsp; \u0026nbsp;\n \u003c/a\u003e\n \u003ca href=\"https://twitter.com/himalayaashish\" target=\"blank\"\u003e\n  \u003cimg align=\"center\" alt=\"Pramod's Twitter\" width=\"30px\" src=\"https://www.vectorlogo.zone/logos/twitter/twitter-official.svg\" /\u003e \u0026nbsp; \u0026nbsp;\n \u003c/a\u003e\n \u003ca href=\"https://medium.com/@himalayaashish\" target=\"blank\"\u003e\n  \u003cimg align=\"center\" alt=\"Himalaya's Twitter\" width=\"30px\" src=\"https://www.vectorlogo.zone/logos/medium/medium-tile.svg\" /\u003e\n \u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimalayaashish%2Fcolortrend","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhimalayaashish%2Fcolortrend","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhimalayaashish%2Fcolortrend/lists"}