49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
# flake8: noqa
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from .. import _timing
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from ._base_metric import _BaseMetric
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class Count(_BaseMetric):
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"""Class which simply counts the number of tracker and gt detections and ids."""
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def __init__(self, config=None):
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super().__init__()
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self.integer_fields = ["Dets", "GT_Dets", "IDs", "GT_IDs"]
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self.fields = self.integer_fields
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self.summary_fields = self.fields
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@_timing.time
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def eval_sequence(self, data):
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"""Returns counts for one sequence"""
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# Get results
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res = {
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"Dets": data["num_tracker_dets"],
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"GT_Dets": data["num_gt_dets"],
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"IDs": data["num_tracker_ids"],
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"GT_IDs": data["num_gt_ids"],
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"Frames": data["num_timesteps"],
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}
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return res
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def combine_sequences(self, all_res):
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"""Combines metrics across all sequences"""
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res = {}
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for field in self.integer_fields:
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res[field] = self._combine_sum(all_res, field)
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return res
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def combine_classes_class_averaged(self, all_res, ignore_empty_classes=None):
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"""Combines metrics across all classes by averaging over the class values"""
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res = {}
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for field in self.integer_fields:
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res[field] = self._combine_sum(all_res, field)
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return res
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def combine_classes_det_averaged(self, all_res):
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"""Combines metrics across all classes by averaging over the detection values"""
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res = {}
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for field in self.integer_fields:
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res[field] = self._combine_sum(all_res, field)
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return res
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