landpark detection weights

yolo-weights/botsort.yaml

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+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# BoT-SORT tracker defaults for mode="track"
+# Docs: https://docs.ultralytics.com/modes/track/
+
+tracker_type: botsort # (str) Tracker backend: botsort|bytetrack; choose botsort to enable BoT-SORT features
+track_high_thresh: 0.25 # (float) First-stage match threshold; raise for cleaner tracks, lower to keep more
+track_low_thresh: 0.1 # (float) Second-stage threshold for low-score matches; balances recovery vs drift
+new_track_thresh: 0.25 # (float) Start a new track if no match ≥ this; higher reduces false tracks
+track_buffer: 30 # (int) Frames to keep lost tracks alive; higher handles occlusion, increases ID switches risk
+match_thresh: 0.8 # (float) Association similarity threshold (IoU/cost); tune with detector quality
+fuse_score: True # (bool) Fuse detection score with motion/IoU for matching; stabilizes weak detections
+
+# BoT-SORT specifics
+gmc_method: sparseOptFlow # (str) Global motion compensation: sparseOptFlow|orb|none; helps moving camera scenes
+
+# ReID model related thresh
+proximity_thresh: 0.5 # (float) Min IoU to consider tracks proximate for ReID; higher is stricter
+appearance_thresh: 0.8 # (float) Min appearance similarity for ReID; raise to avoid identity swaps
+with_reid: False # (bool) Enable ReID model use; needs extra model and compute
+model: auto # (str) ReID model name/path; "auto" uses detector features if available

yolo-weights/bytetrack.yaml

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+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# ByteTrack tracker defaults for mode="track"
+# Docs: https://docs.ultralytics.com/modes/track/
+
+tracker_type: bytetrack # (str) Tracker backend: botsort|bytetrack; choose bytetrack for the classic baseline
+track_high_thresh: 0.25 # (float) First-stage match threshold; raise for cleaner tracks, lower to keep more
+track_low_thresh: 0.1 # (float) Second-stage threshold for low-score matches; balances recovery vs drift
+new_track_thresh: 0.25 # (float) Start a new track if no match ≥ this; higher reduces false tracks
+track_buffer: 30 # (int) Frames to keep lost tracks alive; higher handles occlusion, increases ID switches risk
+match_thresh: 0.8 # (float) Association similarity threshold (IoU/cost); tune with detector quality
+fuse_score: True # (bool) Fuse detection score with motion/IoU for matching; stabilizes weak detections

yolo-weights/yolo11n-pose.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:869e83fcdffdc7371fa4e34cd8e51c838cc729571d1635e5141e3075e9319dc0
+size 6255593