Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Sergiu Waxmann
2023-06-15 21:17:10 +02:00
committed by GitHub
parent c340f84ce9
commit 2f02d8ea53
179 changed files with 786 additions and 206 deletions

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description: Learn how to register custom event-tracking and track predictions with Ultralytics YOLO via on_predict_start and register_tracker methods.
keywords: Ultralytics YOLO, tracker registration, on_predict_start, object detection
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# on_predict_start
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# register_tracker
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:::ultralytics.tracker.track.register_tracker
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description: 'TrackState: A comprehensive guide to Ultralytics tracker''s BaseTrack for monitoring model performance. Improve your tracking capabilities now!'
keywords: object detection, object tracking, Ultralytics YOLO, TrackState, workflow improvement
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# TrackState
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# BaseTrack
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:::ultralytics.tracker.trackers.basetrack.BaseTrack
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description: '"Optimize tracking with Ultralytics BOTrack. Easily sort and track bots with BOTSORT. Streamline data collection for improved performance."'
keywords: BOTrack, Ultralytics YOLO Docs, features, usage
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# BOTrack
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# BOTSORT
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:::ultralytics.tracker.trackers.bot_sort.BOTSORT
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description: Learn how to track ByteAI model sizes and tips for model optimization with STrack, a byte tracking tool from Ultralytics.
keywords: Byte Tracker, Ultralytics STrack, application monitoring, bytes sent, bytes received, code examples, setup instructions
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# STrack
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# BYTETracker
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:::ultralytics.tracker.trackers.byte_tracker.BYTETracker
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description: '"Track Google Marketing Campaigns in GMC with Ultralytics Tracker. Learn to set up and use GMC for detailed analytics. Get started now."'
keywords: Ultralytics, YOLO, object detection, tracker, optimization, models, documentation
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# GMC
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:::ultralytics.tracker.utils.gmc.GMC
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description: Improve object tracking with KalmanFilterXYAH in Ultralytics YOLO - an efficient and accurate algorithm for state estimation.
keywords: KalmanFilterXYAH, Ultralytics Docs, Kalman filter algorithm, object tracking, computer vision, YOLO
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# KalmanFilterXYAH
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# KalmanFilterXYWH
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:::ultralytics.tracker.utils.kalman_filter.KalmanFilterXYWH
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description: Learn how to match and fuse object detections for accurate target tracking using Ultralytics' YOLO merge_matches, iou_distance, and embedding_distance.
keywords: Ultralytics, multi-object tracking, object tracking, detection, recognition, matching, indices, iou distance, gate cost matrix, fuse iou, bbox ious
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# merge_matches
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# bbox_ious
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:::ultralytics.tracker.utils.matching.bbox_ious
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