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Co-authored-by: N-Friederich <127681326+N-Friederich@users.noreply.github.com> Co-authored-by: Uhrendoktor <36703334+Uhrendoktor@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: Aman Agarwal <amanag.11@gmail.com> Co-authored-by: ExtReMLapin <3909752+ExtReMLapin@users.noreply.github.com> Co-authored-by: Nadav Eidelstein <30617226+nodeav@users.noreply.github.com>
60 lines
1.0 KiB
Python
60 lines
1.0 KiB
Python
# Ultralytics YOLO 🚀, GPL-3.0 license
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from collections import OrderedDict
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import numpy as np
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class TrackState:
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New = 0
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Tracked = 1
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Lost = 2
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Removed = 3
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class BaseTrack:
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_count = 0
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track_id = 0
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is_activated = False
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state = TrackState.New
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history = OrderedDict()
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features = []
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curr_feature = None
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score = 0
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start_frame = 0
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frame_id = 0
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time_since_update = 0
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# multi-camera
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location = (np.inf, np.inf)
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@property
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def end_frame(self):
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return self.frame_id
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@staticmethod
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def next_id():
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BaseTrack._count += 1
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return BaseTrack._count
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def activate(self, *args):
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raise NotImplementedError
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def predict(self):
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raise NotImplementedError
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def update(self, *args, **kwargs):
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raise NotImplementedError
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def mark_lost(self):
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self.state = TrackState.Lost
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def mark_removed(self):
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self.state = TrackState.Removed
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@staticmethod
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def reset_id():
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BaseTrack._count = 0
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