df93c4e61e7ca1db25f1ee346ac0516685498b02,keras_rcnn/backend/common.py,,anchor,#Any#Any#Any#,5
Before Change
ratio_anchors = _ratio_enum(base_anchor, ratios)
anchors = keras.backend.concatenate([_scale_enum(ratio_anchors[i, :], scales) for i in range(ratio_anchors.shape[0])], axis = 0)
return anchors
After Change
if scales is None:
scales = keras.backend.cast([8, 16, 32], keras.backend.floatx())
base_anchor = keras.backend.cast([1, 1, base_size, base_size], keras.backend.floatx()) - 1
base_anchor = keras.backend.expand_dims(base_anchor, 0)
ratio_anchors = _ratio_enum(base_anchor, ratios)
anchors = _scale_enum(ratio_anchors, scales)
return anchors
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 8
Instances
Project Name: broadinstitute/keras-rcnn
Commit Name: df93c4e61e7ca1db25f1ee346ac0516685498b02
Time: 2017-08-15
Author: allen.goodman@icloud.com
File Name: keras_rcnn/backend/common.py
Class Name:
Method Name: anchor
Project Name: lanpa/tensorboardX
Commit Name: f4a6c738beabc312a848804e5c4d4f384919f026
Time: 2020-06-29
Author: prafullasd@gmail.com
File Name: tensorboardX/summary.py
Class Name:
Method Name: audio
Project Name: scikit-learn-contrib/DESlib
Commit Name: f0c15f219b0761b14329ddd416cda82fa4bae841
Time: 2018-03-28
Author: rafaelmenelau@gmail.com
File Name: deslib/dcs/mcb.py
Class Name: MCB
Method Name: estimate_competence