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>
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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."'
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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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<br><br>
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description: Improve object tracking with KalmanFilterXYAH in Ultralytics YOLO - an efficient and accurate algorithm for state estimation.
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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.
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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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@ -60,4 +61,4 @@ description: Learn how to match and fuse object detections for accurate target t
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# bbox_ious
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:::ultralytics.tracker.utils.matching.bbox_ious
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