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[Fix] fix np.arange() output not stable error #1749

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[Fix] fix np.arange() output not stable error #1749

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cd2fb63
[Fix] fix np.arange() output not stable error
KevinNuNu Feb 27, 2023
c82f93a
Merge branch 'dev-1.x' into fix_np.arange()_output_not_stable_error
KevinNuNu Apr 10, 2023
7eeb94d
解决使用np.arange函数可能会不包含stop值的bug
KevinNuNu Apr 10, 2023
b30ff88
修改的时候漏了个,
KevinNuNu Jul 7, 2023
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8 changes: 7 additions & 1 deletion mmocr/evaluation/metrics/hmean_iou_metric.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,13 @@ def __init__(self,
super().__init__(collect_device=collect_device, prefix=prefix)
self.match_iou_thr = match_iou_thr
self.ignore_precision_thr = ignore_precision_thr
self.pred_score_thrs = np.arange(**pred_score_thrs)
self.pred_score_thrs = np.linspace(
pred_score_thrs['start'],
pred_score_thrs['stop'],
int(
np.round((pred_score_thrs['stop'] - pred_score_thrs['start']) /
pred_score_thrs['step'])) + 1,
endpoint=True)
assert strategy in ['max_matching', 'vanilla']
self.strategy = strategy

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8 changes: 7 additions & 1 deletion projects/ABCNet/abcnet/metric/e2e_hmean_iou_metric.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,13 @@ def __init__(self,
super().__init__(collect_device=collect_device, prefix=prefix)
self.match_iou_thr = match_iou_thr
self.ignore_precision_thr = ignore_precision_thr
self.pred_score_thrs = np.arange(**pred_score_thrs)
self.pred_score_thrs = np.linspace(
pred_score_thrs['start'],
pred_score_thrs['stop'],
int(
np.round((pred_score_thrs['stop'] - pred_score_thrs['start']) /
pred_score_thrs['step'])) + 1,
endpoint=True)
self.word_spotting = word_spotting
self.min_length_case_word = min_length_case_word
self.special_characters = special_characters
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8 changes: 7 additions & 1 deletion projects/SPTS/spts/metric/e2e_point_metric.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,13 @@ def __init__(self,
collect_device: str = 'cpu',
prefix: Optional[str] = None) -> None:
super().__init__(collect_device=collect_device, prefix=prefix)
self.text_score_thrs = np.arange(**text_score_thrs)
self.text_score_thrs = np.linspace(
text_score_thrs['start'],
text_score_thrs['stop'],
int(
np.round((text_score_thrs['stop'] - text_score_thrs['start']) /
text_score_thrs['step'])) + 1,
endpoint=True)
self.word_spotting = word_spotting
self.match_dist_thr = match_dist_thr
if lexicon_path:
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