replace scipy.misc.imresize (suggested by @grochefort)

scripts/eval_cityscapes/evaluate.py

@@ -43,7 +43,6 @@ def main():
         label = CS.load_label(args.split, city, idx)
         im_file = args.result_dir + '/' + idx + '_leftImg8bit.png'
         im = np.array(Image.open(im_file))
-        # im = scipy.misc.imresize(im, (256, 256))
         im = scipy.misc.imresize(im, (label.shape[1], label.shape[2]))
         out = segrun(net, CS.preprocess(im))
         hist_perframe += fast_hist(label.flatten(), out.flatten(), n_cl)

util/util.py

@@ -46,14 +46,21 @@ def diagnose_network(net, name='network'):
     print(mean)
 
 
-def save_image(image_numpy, image_path):
+def save_image(image_numpy, image_path, aspect_ratio=1.0):
     """Save a numpy image to the disk
 
     Parameters:
         image_numpy (numpy array) -- input numpy array
         image_path (str)          -- the path of the image
     """
+
     image_pil = Image.fromarray(image_numpy)
+    h, w, _ = image_numpy.shape
+
+    if aspect_ratio > 1.0:
+        image_pil = image_pil.resize((h, int(w * aspect_ratio)), Image.BICUBIC)
+    if aspect_ratio < 1.0:
+        image_pil = image_pil.resize((int(h / aspect_ratio), w), Image.BICUBIC)
     image_pil.save(image_path)
 
 

util/visualizer.py

@@ -5,7 +5,7 @@
 import time
 from . import util, html
 from subprocess import Popen, PIPE
-from scipy.misc import imresize
+
 
 if sys.version_info[0] == 2:
     VisdomExceptionBase = Exception
@@ -36,13 +36,7 @@ def save_images(webpage, visuals, image_path, aspect_ratio=1.0, width=256):
         im = util.tensor2im(im_data)
         image_name = '%s_%s.png' % (name, label)
         save_path = os.path.join(image_dir, image_name)
-        h, w, _ = im.shape
-        if aspect_ratio > 1.0:
-            im = imresize(im, (h, int(w * aspect_ratio)), interp='bicubic')
-        if aspect_ratio < 1.0:
-            im = imresize(im, (int(h / aspect_ratio), w), interp='bicubic')
-        util.save_image(im, save_path)
-
+        util.save_image(im, save_path, aspect_ratio=aspect_ratio)
         ims.append(image_name)
         txts.append(label)
         links.append(image_name)