Mean average precision (mAP) metric #15
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suggested changes
Jun 2, 2017
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| keras-rcnn was written by Allen Goodman. It’s maintained by Allen Goodman and | |||
| various contributors: | |||
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| Jane Hung | |||
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Jane Hung <[email protected]> @janehung
| import tensorflow | ||
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| 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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Use keras.mean rather than tensorflow.reduce_mean.
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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))
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is it working? |
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We haven't tried it out yet so not sure.
…On Thu, Oct 19, 2017 at 5:07 PM, rspadim ***@***.***> wrote:
is it working?
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Resolves #6