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Mean average precision (mAP) metric #15

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Mean average precision (mAP) metric #15

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mean average precision
jhung0 Jun 2, 2017
416514d
Update AUTHORS.rst
0x00b1 Jun 2, 2017
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2 changes: 2 additions & 0 deletions AUTHORS.rst
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keras-rcnn was written by Allen Goodman. It’s maintained by Allen Goodman and
various contributors:

Jane Hung
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@0x00b1 0x00b1 Jun 2, 2017

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You're welcome to add your personal address and Twitter username, e.g.

Jane Hung <jane.hung@geocities.com> @janehung

4 changes: 4 additions & 0 deletions keras_rcnn/metrics.py
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import tensorflow

def mean_average_precision(y_true, y_pred):
return tensorflow.reduce_mean(tensorflow.metrics.sparse_average_precision_at_k(tensorflow.cast(y_true, tensorflow.int64), y_pred, 1)[0])
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@0x00b1 0x00b1 Jun 2, 2017

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Use keras.mean rather than tensorflow.reduce_mean.

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@0x00b1 0x00b1 Jun 2, 2017

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We need to implement a custom average precision function because tensorflow.metrics.sparse_average_precision_at_k expects to be updated in training (i.e. it’s incompatible with Keras’s per-batch metrics), e.g.

keras.backend.mean(keras.backend.cumsum(a) / keras.backend.cumsum(b))