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Duplicated from  SEA-AI/mot-metrics

SEA-AI

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user-friendly-metrics

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If I decrease the max_iou, I get less true positives:

Code to reproduce

from pprint import pprint
import evaluate
from seametrics.payload.processor import PayloadProcessor

payload = PayloadProcessor(
        dataset_name="SENTRY_VIDEOS_DATASET_QA",
        gt_field="ground_truth_det_fused_id",
        models=["ahoy_IR_b2_engine_3_6_0_49_gd81d3b63_oversea"],
        sequence_list=["Sentry_2023_02_08_PROACT_CELADON_@6m_MOB_2023_02_08_12_51_49"],
        # tags=["GT_ID_FUSION"],
        tracking_mode=True
   ).payload

module = evaluate.load("SEA-AI/user-friendly-metrics")
res = module._compute(payload, max_iou=0.9, recognition_thresholds=[0.3, 0.5, 0.8])
pprint(res)