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hub / github.com/VincentHancoder/SSGD / eval_map

Function eval_map

mmdet/core/evaluation/mean_ap.py:525–714  ·  view source on GitHub ↗

Evaluate mAP of a dataset. Args: det_results (list[list]): [[cls1_det, cls2_det, ...], ...]. The outer list indicates images, and the inner list indicates per-class detected bboxes. annotations (list[dict]): Ground truth annotations where each item of

(det_results,
             annotations,
             scale_ranges=None,
             iou_thr=0.5,
             ioa_thr=None,
             dataset=None,
             logger=None,
             tpfp_fn=None,
             nproc=4,
             use_legacy_coordinate=False,
             use_group_of=False)

Source from the content-addressed store, hash-verified

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Callers 5

voc_eval_with_returnFunction · 0.90
evaluateMethod · 0.90
evaluateMethod · 0.90
evaluateMethod · 0.90
test_eval_mapFunction · 0.90

Calls 4

get_cls_resultsFunction · 0.85
get_cls_group_ofsFunction · 0.85
average_precisionFunction · 0.85
print_map_summaryFunction · 0.85

Tested by 2

voc_eval_with_returnFunction · 0.72
test_eval_mapFunction · 0.72