Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Mean average precision (mAP) metric #15

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Mean average precision (mAP) metric #15

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
a32d76c
mean average precision
jhung0 Jun 2, 2017
416514d
Update AUTHORS.rst
0x00b1 Jun 2, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions AUTHORS.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,2 +1,4 @@
keras-rcnn was written by Allen Goodman. It’s maintained by Allen Goodman and
various contributors:

Jane Hung
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

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

Jane Hung <[email protected]> @janehung

4 changes: 4 additions & 0 deletions keras_rcnn/metrics.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
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])
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Use keras.mean rather than tensorflow.reduce_mean.

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

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))