ultralytics/yolo-flutter-app
May 2025 – Sep 2025
5 Months active
Languages Used
C++DartGradleJavaKotlinMarkdownObjective-C++Swift
Technical Skills
Android DevelopmentAndroid Native DevelopmentCI/CDCamera APICameraX IntegrationCode Standardization
MLBoy_DaisukeMajima
PROFILE
Mlboy_daisukemajima
Rocky Shikoku developed core features and enhancements for the ultralytics/yolo-flutter-app, focusing on cross-platform mobile computer vision. Over five months, Rocky expanded the YOLO Flutter plugin to support segmentation, pose estimation, and oriented bounding boxes, while refactoring Android native code and improving iOS model management. Using Dart, Kotlin, and Swift, Rocky implemented dynamic model switching, real-time inference metrics, and robust error handling, ensuring reliable performance across Android and iOS. The work included optimizing model loading, refining UI/UX for camera inference, and strengthening test coverage. Rocky’s contributions improved stability, memory safety, and usability, enabling accurate, tunable detections for end users.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
31Total
Bugs
6
Commits
31
Features
12
Lines of code
88,131
Activity Months5
Your Network
7 people
Work History
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025: Implemented cross-platform enhancements for the YOLO Flutter app across core model management, streaming lifecycle, Android compatibility, and data/UI reliability. Key improvements include: consolidated model type definitions with improved loading/error handling; default streaming configuration with safer cleanup to prevent memory issues across Android/iOS/Flutter; Android 16KB page-size support; corrected transmission of pose estimation keypoints, bounding boxes, and confidence scores to Flutter; and UI label update guards to prevent iOS display errors. These changes reduce runtime errors, enhance memory safety, and enable smoother end-user experiences while expanding platform compatibility.
6 Commits • 3 Features
Sep 1, 2025September 2025: Implemented cross-platform enhancements for the YOLO Flutter app across core model management, streaming lifecycle, Android compatibility, and data/UI reliability. Key improvements include: consolidated model type definitions with improved loading/error handling; default streaming configuration with safer cleanup to prevent memory issues across Android/iOS/Flutter; Android 16KB page-size support; corrected transmission of pose estimation keypoints, bounding boxes, and confidence scores to Flutter; and UI label update guards to prevent iOS display errors. These changes reduce runtime errors, enhance memory safety, and enable smoother end-user experiences while expanding platform compatibility.
September 2025
August 2025
3 Commits • 2 Features
Aug 1, 2025August 2025: Delivered notable UX and performance improvements in ultralytics/yolo-flutter-app, focusing on Android model loading reliability, accurate live inference metrics, and robust threshold controls. Key outcomes include faster startup, more reliable in-app metrics, and improved usability for threshold tuning across predictor types. The work was achieved through UI refactors, native asset checks, and unified threshold logic, with clear commit traceability.
August 2025
3 Commits • 2 Features
Aug 1, 2025August 2025: Delivered notable UX and performance improvements in ultralytics/yolo-flutter-app, focusing on Android model loading reliability, accurate live inference metrics, and robust threshold controls. Key outcomes include faster startup, more reliable in-app metrics, and improved usability for threshold tuning across predictor types. The work was achieved through UI refactors, native asset checks, and unified threshold logic, with clear commit traceability.
July 2025
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ultralytics/yolo-flutter-app: Delivered robust pose visualization features and cross-platform alignment fixes, enhancing reliability and business value across iOS and Android.
4 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ultralytics/yolo-flutter-app: Delivered robust pose visualization features and cross-platform alignment fixes, enhancing reliability and business value across iOS and Android.
July 2025
June 2025
11 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ultralytics/yolo-flutter-app focused on delivering core platform capabilities, stabilizing cross-platform behavior, and strengthening test coverage to support business growth and developer productivity.
June 2025
11 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ultralytics/yolo-flutter-app focused on delivering core platform capabilities, stabilizing cross-platform behavior, and strengthening test coverage to support business growth and developer productivity.
May 2025
7 Commits • 3 Features
May 1, 2025May 2025 monthly summary for ultralytics/yolo-flutter-app. Key features delivered: - YOLO Flutter plugin: Major feature expansion and refactor, adding segmentation, pose estimation, and oriented bounding box (OBB) support. Refactored Android native and plugin structure; improved documentation and package layout to pub.dev standards; ensured cross-platform consistency. Commits: 8401c33065760a5563c6b34a301a1c3d64f4aa16; 68d1810e90682608c6002171d1d9100a68f34788; 8fb87d518f05f045af6444fbd443ee7fedbb4b77; cf1f53b0655ef0fe74e36f771e99a9338a537e28. - Per-image inference control: Added optional confidence and IoU thresholds to the single-image inference method, enabling per-image tuning of detection sensitivity; docs and platform implementations updated. Commit: c6350d9fb140f37c0bf8120c246e51bac7d2d67b. - Android YoloView UI enhancement: Pinch-to-zoom gesture for the YoloView and a zoom level indicator to improve user interaction with the camera preview. Commit: a7e9fbb83fecd546623299ea3e2b6001be945130. Major bugs fixed: - Pose model loading crash fix on iOS: Removed an invalid pose model reference in iOS configuration and updated the default model/task to prevent loading non-existent pose models and potential crashes. Commit: 10c9bf1af5038224c5f2a18407bd6d3867f43dab. Overall impact and accomplishments: - Expanded feature parity and capabilities across mobile platforms, enabling more accurate and tunable detections; improved stability by removing invalid references; enhanced user experience with pinch-to-zoom; alignment with pub.dev standards facilitates adoption and publishing; strengthened documentation and tests to sustain quality. Technologies/skills demonstrated: - Flutter plugin development, Android native integration, iOS model management, cross-platform testing and documentation, performance-oriented refactors, and strong code quality practices.
7 Commits • 3 Features
May 1, 2025May 2025 monthly summary for ultralytics/yolo-flutter-app. Key features delivered: - YOLO Flutter plugin: Major feature expansion and refactor, adding segmentation, pose estimation, and oriented bounding box (OBB) support. Refactored Android native and plugin structure; improved documentation and package layout to pub.dev standards; ensured cross-platform consistency. Commits: 8401c33065760a5563c6b34a301a1c3d64f4aa16; 68d1810e90682608c6002171d1d9100a68f34788; 8fb87d518f05f045af6444fbd443ee7fedbb4b77; cf1f53b0655ef0fe74e36f771e99a9338a537e28. - Per-image inference control: Added optional confidence and IoU thresholds to the single-image inference method, enabling per-image tuning of detection sensitivity; docs and platform implementations updated. Commit: c6350d9fb140f37c0bf8120c246e51bac7d2d67b. - Android YoloView UI enhancement: Pinch-to-zoom gesture for the YoloView and a zoom level indicator to improve user interaction with the camera preview. Commit: a7e9fbb83fecd546623299ea3e2b6001be945130. Major bugs fixed: - Pose model loading crash fix on iOS: Removed an invalid pose model reference in iOS configuration and updated the default model/task to prevent loading non-existent pose models and potential crashes. Commit: 10c9bf1af5038224c5f2a18407bd6d3867f43dab. Overall impact and accomplishments: - Expanded feature parity and capabilities across mobile platforms, enabling more accurate and tunable detections; improved stability by removing invalid references; enhanced user experience with pinch-to-zoom; alignment with pub.dev standards facilitates adoption and publishing; strengthened documentation and tests to sustain quality. Technologies/skills demonstrated: - Flutter plugin development, Android native integration, iOS model management, cross-platform testing and documentation, performance-oriented refactors, and strong code quality practices.
May 2025
Activity
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Quality Metrics
Correctness89.8%
Maintainability85.4%
Architecture83.4%
Performance81.0%
AI Usage42.6%
Skills & Technologies
Programming Languages
C++DartGradleJavaKotlinMarkdownObjective-CObjective-C++ShellSwift
Technical Skills
API DesignAndroidAndroid DevelopmentAndroid Native DevelopmentAsset ManagementBuild System ConfigurationCI/CDCamera APICameraX IntegrationCode CleanupCode RefactoringCode StandardizationComputer VisionConcurrencyCross-Platform Development
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