{"id":19379700,"url":"https://github.com/dragonscypher/tryspec","last_synced_at":"2026-04-27T08:32:01.977Z","repository":{"id":222573022,"uuid":"757782533","full_name":"dragonscypher/Tryspec","owner":"dragonscypher","description":"A VTO ","archived":false,"fork":false,"pushed_at":"2024-10-30T06:55:36.000Z","size":13302,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-04T20:16:48.298Z","etag":null,"topics":["cv2","dlib","face-detection","numpy","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","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/dragonscypher.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,"zenodo":null}},"created_at":"2024-02-15T00:54:49.000Z","updated_at":"2025-05-29T06:23:46.000Z","dependencies_parsed_at":"2024-02-15T01:41:06.879Z","dependency_job_id":"c4f35e5f-5795-4cf3-8047-6f96d951c0ce","html_url":"https://github.com/dragonscypher/Tryspec","commit_stats":null,"previous_names":["dragonscypher/tryspec"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dragonscypher/Tryspec","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dragonscypher%2FTryspec","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dragonscypher%2FTryspec/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dragonscypher%2FTryspec/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dragonscypher%2FTryspec/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dragonscypher","download_url":"https://codeload.github.com/dragonscypher/Tryspec/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dragonscypher%2FTryspec/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32329463,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-26T23:26:28.701Z","status":"online","status_checked_at":"2026-04-27T02:00:06.769Z","response_time":128,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["cv2","dlib","face-detection","numpy","python3"],"created_at":"2024-11-10T09:10:57.111Z","updated_at":"2026-04-27T08:32:01.923Z","avatar_url":"https://github.com/dragonscypher.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Virtual Try-On System: Tryspec 💎\n\n## Introduction\nWelcome to the Virtual Try-On (VTO) System, a cutting-edge application designed to revolutionize the online shopping experience. Utilizing advanced Augmented Reality (AR), Computer Vision, and deep learning techniques, this system aims to offer users a seamless way to virtually try on accessories like glasses and hats in real time. 🚀\n\n## Project Objective 🌟\nThe primary objective of this project is to provide an enhanced virtual shopping experience by allowing users to interact with products before making a purchase. This reduces uncertainty, builds confidence, and bridges the gap between online and in-store shopping.\n\n## Features and Benefits 🏠\n- **Real-Time Try-On**: Leveraging AR, users can see how accessories look on them instantly, enhancing the shopping experience.\n- **Dynamic Product Selection**: Browse and toggle between various glasses and hats, allowing users to see different styles at the click of a button.\n- **Adaptive Personalization**: Adjusts the position and size of accessories dynamically based on facial landmarks, ensuring accurate fitting.\n- **User-Friendly Experience**: Simple and intuitive interface designed for effortless use across all demographics.\n\n## Technology Stack 🛠️\n- **Computer Vision \u0026 AR**: Powered by OpenCV and MediaPipe, for precise facial landmark detection and accurate overlay of virtual accessories.\n- **Machine Learning**: Enhanced personalization of the try-on experience by learning from user interactions.\n- **Python**: The primary programming language used, leveraging libraries like NumPy and OpenCV.\n\n## Implementation Highlights 🤖\n- **Landmark Detection**: Utilizes MediaPipe's face mesh to identify facial landmarks in real time, providing accurate points to position accessories like glasses and hats.\n- **Dynamic Sizing and Positioning**: Facial dimensions are calculated dynamically to adjust accessory scaling, ensuring a realistic and comfortable fit.\n- **Real-Time Selection**: Users can toggle between different styles of glasses and hats by pressing keys, providing an interactive and exploratory shopping experience.\n\n## How to Use 📜\n1. **Start the Camera**: Launch the application, and the webcam will automatically turn on.\n2. **Select Accessories**: Press 'g' to toggle between different glasses and 'h' to toggle between hats.\n3. **See Yourself**: The selected accessory will be dynamically adjusted and positioned to give a realistic look.\n4. **Quit**: Press 'q' to exit the application at any time.\n\n## Future Directions 💡\n- **Expanded Product Range**: Broader variety of accessories, such as scarves, earrings, and clothing.\n- **Social Sharing**: Integrating features that allow users to share their virtual try-on experience on social media platforms.\n- **Deeper Personalization**: Improving the recommendation engine to suggest products based on facial features, preferences, and user history.\n\n## Challenges and Solutions 💪\n- **Real-Time Processing**: Optimized image processing techniques and reduced computational overhead to achieve smooth performance with minimal lag.\n- **Accessory Fitting**: Enhanced fitting algorithms to ensure glasses and hats accurately follow the user's head movements, even with rapid changes.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdragonscypher%2Ftryspec","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdragonscypher%2Ftryspec","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdragonscypher%2Ftryspec/lists"}