Bring Domijan2015 in line with other papers

stimuli/papers/domijan2015.py

@@ -1,96 +1,110 @@
-import math
 from stimuli import illusions
-import numpy as np
+
+__all__ = [
+    "dungeon",
+    "cube",
+    "grating",
+    "rings",
+    "bullseye",
+    "simultaneous_brightness_contrast",
+    "white",
+    "benary",
+    "todorovic",
+    "checkerboard_contrast_contrast",
+    "checkerboard",
+    "checkerboard_extended",
+]
+
 
 def dungeon():
     # mask done
     return illusions.dungeon.domijan2015()
 
+
 def cube():
     # mask done
     return illusions.cube.domijan2015()
 
+
 def grating():
     # mask done
     return illusions.grating.domijan2015()
 
+
 def rings():
     # mask done
     return illusions.rings.domijan2015()
 
+
 def bullseye():
-    #TODO: add mask
+    # TODO: add mask
     return illusions.bullseye.domijan2015()
 
+
 def simultaneous_brightness_contrast():
     # mask done
     return illusions.sbc.domijan2015()
 
+
 def white():
     return illusions.whites.domijan2015_white()
 
+
 def benary():
     # mask done
     return illusions.benary_cross.domijan2015()
 
+
 def todorovic():
     # mask done
     return illusions.todorovic.domijan2015()
 
+
 def checkerboard_contrast_contrast():
-    #TODO: add mask
+    # TODO: add mask
     return illusions.checkerboard_contrast_contrast.domijan2015()
 
+
 def checkerboard():
     # mask done
     return illusions.checkerboard_sbc.domijan2015()
 
+
 def checkerboard_extended():
     # mask done
     return illusions.checkerboard_sbc.domijan2015_extended()
 
 
-
 if __name__ == "__main__":
+    import math
+
     import matplotlib.pyplot as plt
-    plot_all = True
-    if plot_all:
-        stims = {
-            "dungeon": dungeon,
-            "cube": cube,
-            "grating": grating,
-            "rings": rings,
-            "bullseye": bullseye,
-            "simultaneous_brightness_contrast": simultaneous_brightness_contrast,
-            "white": white,
-            "benary": benary,
-            "todorovic": todorovic,
-            "checkerboard_contrast_contrast": checkerboard_contrast_contrast,
-            "checkerboard": checkerboard,
-            "checkerboard_extended": checkerboard_extended,
-        }
-
-        a = math.ceil(math.sqrt(len(stims)))
-        plt.figure(figsize=(a * 3, a * 3))
-        for i, (stim_name, stim) in enumerate(stims.items()):
-            print("Generating", stim_name + "")
-            st = stim()
-            img, mask = st["img"], st["mask"]
-            img = np.dstack([img, img, img])
-
-            mask = np.insert(np.expand_dims(mask, 2), 1, 0, axis=2)
-            mask = np.insert(mask, 2, 0, axis=2)
-            final = mask + img
-            final /= np.max(final)
-
-            plt.subplot(a, a, i + 1)
-            plt.title(stim_name + " - img")
-            plt.imshow(final)
-
-        plt.tight_layout()
-
-    else:
-        plt.imshow(img, cmap='gray')
-
-    plt.savefig("overview_domijan2015.png")
-    plt.show()
+    import numpy as np
+
+    stims = {}
+    for stimname in __all__:
+        print("Generating " + stimname)
+        try:
+            stims[stimname] = globals()[stimname]()
+        except NotImplementedError:
+            print("-- not implemented")
+
+    # Plot each stimulus+mask
+    n_stim = math.ceil(math.sqrt(len(stims)))
+    plt.figure(figsize=(n_stim * 3, n_stim * 3))
+    for i, (stim_name, stim) in enumerate(stims.items()):
+        img, mask = stim["img"], stim["mask"]
+        img = np.dstack([img, img, img])
+
+        mask = np.insert(np.expand_dims(mask, 2), 1, 0, axis=2)
+        mask = np.insert(mask, 2, 0, axis=2)
+        final = mask + img
+        final /= np.max(final)
+
+        plt.subplot(n_stim, n_stim, i + 1)
+        plt.title(stim_name)
+        plt.imshow(final)
+
+    plt.tight_layout()
+
+    plt.show()