HuangMason320
ccd7cdd6b9
- Move test scripts to tests/ directory for better organization - Add improved YOLOv5 postprocessing with reference implementation - Update gitignore to exclude *.mflow files and include main.spec - Add debug capabilities and coordinate scaling improvements - Enhance multi-series support with proper validation - Add AGENTS.md documentation and example utilities 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
57 lines
1.2 KiB
Python
57 lines
1.2 KiB
Python
# ******************************************************************************
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# Copyright (c) 2022. Kneron Inc. All rights reserved. *
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# ******************************************************************************
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import numpy as np
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from collections import OrderedDict
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class TrackState(object):
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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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#Overlap_candidate = 4
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class BaseTrack(object):
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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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