[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-87486":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":16,"stars30d":16,"stars90d":15,"forks30d":15,"starsTrendScore":17,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":20,"topics":23,"createdAt":10,"pushedAt":24,"updatedAt":25,"readmeContent":10,"aiSummary":10,"trendingCount":15,"starSnapshotCount":15,"syncStatus":16,"lastSyncTime":26,"discoverSource":27},87486,"yolov14","zhangcbb\u002Fyolov14","zhangcbb","YOLOv14: A cross-domain real-time object detection framework for fisheye, drone, panorama, game-to-real, and mixed-camera scenarios. 本项目 YOLOv14 是一个面向跨域、跨视角和复杂成像环境的实时目标检测框架。不同于传统 YOLO 系列通常默认输入来自标准针孔相机，本项目面向鱼眼广角、无人机俯视、360°全景、游戏画面与真实图像混合等更复杂的视觉场景，构建了包含场景分析、自适应数据增强、域自适应、多视角特征注入、可变形注意力特征金字塔和自适应检测头的完整检测流程。","",null,"Python",56,58,51,0,2,6,46.51,"GNU Affero General Public License v3.0",false,"main",true,[],"2026-06-15 05:29:40","2026-06-26 14:05:56","2026-06-27 04:06:24","CREATED_QUERY"]