+# 
Bringing together human cleverness and big data, metaCurious is a tool to help you curate and annotate version-controlled collections of neuroimaging articles for meta-analyses. This tool facilitates collaboration and reproducibility by building sharable collections as GitHub repositories, providing a front end to [Brainspell-neo](https://brainspell.herokuapp.com), which started from Roberto Toro's Brainspell, itself based on Tal Yarkoni's [NeuroSynth](http://neurosynth.org): standing on the shoulders of Giants!
MetaCurious is developed in conjunction with a number of external collaborators, including the project leader, [Anisha Keshavan](https://github.com/akeshavan), as well as [JB Poline](https://github.com/jbpoline), [Greg Kiar](https://github.com/gkiar), and [Elizabeth DuPre](https://github.com/emdupre). The primary developer within the lab for metaCurious is [Katie Bottenhorn](/team/bottenhorn-katherine).
diff --git a/projects/index.html b/projects/index.html
index 8546347e..14882ee5 100644
--- a/projects/index.html
+++ b/projects/index.html
@@ -55,7 +55,7 @@
- 
+
@@ -93,7 +93,7 @@
-
+
@@ -131,7 +131,7 @@
-
+
@@ -169,7 +169,7 @@
-
+
diff --git a/tests/test_team_pictures.py b/tests/test_images.py
similarity index 52%
rename from tests/test_team_pictures.py
rename to tests/test_images.py
index e6ebe66d..098de9df 100644
--- a/tests/test_team_pictures.py
+++ b/tests/test_images.py
@@ -34,3 +34,32 @@ def test_team_image_sizes(testdata):
if len(failures):
failures = sorted(list(set(failures)))
raise Exception('Test failed on {}'.format(', '.join(failures)))
+
+
+def test_project_image_sizes(testdata):
+ """
+ Test that project photos are the right size.
+ """
+ photo_folder = os.path.join(testdata["assets"], "images", "projects")
+ target_dims = (400, 400) # in pixels
+ target_ratio = 1 # width to height
+ # Non-logo images should not have "-" in the filenames
+ patterns = ["*-*.png", "*-*.jpg"]
+ files = [glob(os.path.join(photo_folder, p)) for p in patterns]
+ files = [item for sublist in files for item in sublist]
+ if not len(files):
+ raise Exception("No files found in {}".format(photo_folder))
+
+ failures = []
+ for f in files:
+ fname = os.path.basename(f)
+ img = plt.imread(f)
+ if (img.shape[0] > target_dims[0]) or (img.shape[1] > target_dims[1]):
+ failures.append(fname)
+
+ if (img.shape[0] / img.shape[1]) != target_ratio:
+ failures.append(fname)
+
+ if len(failures):
+ failures = sorted(list(set(failures)))
+ raise Exception('Test failed on {}'.format(', '.join(failures)))