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-rw-r--r--examples/plot_Intro_OT.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/plot_Intro_OT.py b/examples/plot_Intro_OT.py
index f282950..219aa51 100644
--- a/examples/plot_Intro_OT.py
+++ b/examples/plot_Intro_OT.py
@@ -58,7 +58,7 @@ help(ot.dist)
# number of Bakeries to Cafés in a City (in this case Manhattan). We did a
# quick google map search in Manhattan for bakeries and Cafés:
#
-# .. image:: images/bak.png
+# .. image:: ../_static/images/bak.png
# :align: center
# :alt: bakery-cafe-manhattan
# :width: 600px
@@ -233,7 +233,7 @@ print('Wasserstein loss (EMD) = {0:.2f}'.format(W))
# The Sinkhorn algorithm is very simple to code. You can implement it directly
# using the following pseudo-code
#
-# .. image:: images/sinkhorn.png
+# .. image:: ../_static/images/sinkhorn.png
# :align: center
# :alt: Sinkhorn algorithm
# :width: 440px