BUG: More Python3 fixes by Christoph Gohlke.

scikits/image/filter/ctmf.py

@@ -12,7 +12,7 @@ Original author: Lee Kamentsky
 '''
 
 import numpy as np
-import _ctmf
+from . import _ctmf
 from rank_order import rank_order
 
 def median_filter(data, mask=None, radius=1, percent=50):
@@ -59,7 +59,7 @@ def median_filter(data, mask=None, radius=1, percent=50):
         if max_ranked_data == 0:
             return data
         if max_ranked_data > 255:
-            ranked_data = ranked_data * 255 / max_ranked_data
+            ranked_data = ranked_data * 255 // max_ranked_data
         was_ranked = True
     else:
         ranked_data = data[mask]
@@ -78,7 +78,7 @@ def median_filter(data, mask=None, radius=1, percent=50):
         # use the translation to look up the original value in the data.
         #
         if max_ranked_data > 255:
-            result = translation[output.astype(np.uint32) * max_ranked_data / 255]
+            result = translation[output.astype(np.uint32) * max_ranked_data // 255]
         else:
             result = translation[output]
     else:

scikits/image/graph/mcp.py

@@ -1,4 +1,4 @@
-from _mcp import MCP, MCP_Geometric, make_offsets
+from ._mcp import MCP, MCP_Geometric, make_offsets
 
 def route_through_array(array, start, end, fully_connected=True, geometric=True):
     """Simple example of how to use the MCP and MCP_Geometric classes.

scikits/image/graph/spath.py

@@ -1,5 +1,5 @@
 import numpy as np
-import _spath
+from . import _spath
 
 def shortest_path(arr, reach=1, axis=-1, output_indexlist=False):
     """Find the shortest path through an n-d array from one side to another.

scikits/image/io/_plugins/util.py

@@ -1,6 +1,6 @@
 import numpy as np
-import _colormixer
-import _histograms
+from . import _colormixer
+from . import _histograms
 import threading
 
 # utilities to make life easier for plugin writers.

scikits/image/io/tests/test_collection.py

@@ -1,3 +1,4 @@
+import sys
 import os.path
 
 import numpy as np
@@ -7,6 +8,10 @@ from scikits.image import data_dir
 from scikits.image.io import ImageCollection, MultiImage
 
 
+if sys.version_info[0] > 2:
+    basestring = str
+
+
 class TestImageCollection():
     pattern = [os.path.join(data_dir, pic) for pic in ['camera.png',
                                                        'color.png']]

scikits/image/opencv/tests/test_opencv_cv.py

@@ -3,13 +3,18 @@
 from __future__ import with_statement
 
 import os
+import sys
 import warnings
 
 import numpy as np
 from numpy.testing import *
 
 from scikits.image import data_dir
-import cPickle
+
+if sys.version_info[0] < 3:
+    import cPickle
+else:
+    import pickle as cPickle
 
 with warnings.catch_warnings():
     warnings.simplefilter("ignore")