{"id":15132117,"url":"https://github.com/solrikk/optichrom","last_synced_at":"2026-01-18T11:42:19.713Z","repository":{"id":255928644,"uuid":"853901510","full_name":"Solrikk/Optichrom","owner":"Solrikk","description":"This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use","archived":false,"fork":false,"pushed_at":"2024-09-07T23:18:49.000Z","size":962,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T02:09:16.883Z","etag":null,"topics":["computer-vision","cv2","feature-matching","image-comparison","image-comparison-tool","machine-learning","numpy","object-detection","opencv","orb","python","scikit-image","ssim","tkinter","visualization","yolo","yolov5"],"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/Solrikk.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":"2024-09-07T21:12:57.000Z","updated_at":"2024-12-19T08:13:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"edf14018-f01e-48df-b424-649a923d66d4","html_url":"https://github.com/Solrikk/Optichrom","commit_stats":null,"previous_names":["solrikk/optichrom"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Solrikk%2FOptichrom","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Solrikk%2FOptichrom/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Solrikk%2FOptichrom/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Solrikk%2FOptichrom/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Solrikk","download_url":"https://codeload.github.com/Solrikk/Optichrom/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247406078,"owners_count":20933803,"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":["computer-vision","cv2","feature-matching","image-comparison","image-comparison-tool","machine-learning","numpy","object-detection","opencv","orb","python","scikit-image","ssim","tkinter","visualization","yolo","yolov5"],"created_at":"2024-09-26T04:03:49.746Z","updated_at":"2026-01-18T11:42:19.673Z","avatar_url":"https://github.com/Solrikk.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Optichrom\n\n![Python](https://img.shields.io/badge/Python-3.8%2B-blue)\n![OpenCV](https://img.shields.io/badge/OpenCV-4.x-green)\n![Tkinter](https://img.shields.io/badge/Tkinter-GUI-yellow)\n\nThis repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use.\n\n## Key Features\n\n- **ORB Feature Matching**: Identifies and matches features between two images using the ORB algorithm.\n- **SSIM Comparison**: Computes the Structural Similarity Index (SSIM) between two images and visualizes the similarity map.\n- **Graphical User Interface (GUI)**: Tkinter-based applications allow users to compare images visually using either SSIM or ORB.\n- **Object Detection**: Supports object detection using the YOLO (You Only Look Once) model for images compared using ORB.\n  \n## Tools Included\n\n1. **ORB Feature Matcher (`orb_feature_matcher.py`)**: \n   - Command-line tool to match features between two images using ORB.\n   - Saves an image with the top 50 matched features highlighted.\n\n2. **SSIM Visualizer (`ssim_visualizer.py`)**: \n   - Command-line tool for calculating the SSIM score between two images and generating a similarity map.\n\n3. **Image Comparison App (`image_comparison_app.py`)**: \n   - Tkinter-based GUI for comparing images using either SSIM or ORB. \n   - Includes object detection using the YOLOv3 model.\n\n4. **OptiChrom App (`optichrom_app.py`)**: \n   - Another GUI application for comparing images with support for SSIM and ORB comparison.\n   - Detects objects using YOLOv3 in the compared images.\n\n## Installation\n\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/Solrikk/Optichrom.git\n   cd image-comparison-tools\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolrikk%2Foptichrom","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsolrikk%2Foptichrom","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsolrikk%2Foptichrom/lists"}