Fixed several issues with Fast-RCNN scenario on windows and also make sure that notebook runs on linux

Examples/Image/DataSets/Grocery/install_grocery.py

@@ -30,8 +30,8 @@ def download_grocery_data():
             with zipfile.ZipFile(filename) as myzip:
                 myzip.extractall(dataset_folder)
             if platform != "win32":
-                testfile  = os.path.join(dataset_folder, "grocery", "test.txt")
+                testfile  = os.path.join(dataset_folder, "Grocery", "test.txt")
-                unixfile = os.path.join(dataset_folder, "grocery", "test_unix.txt")
+                unixfile = os.path.join(dataset_folder, "Grocery", "test_unix.txt")
                 out = open(unixfile, 'w')
                 with open(testfile) as f:
                     for line in f:

Examples/Image/Detection/FastRCNN/cntk_helpers.py

@@ -755,12 +755,20 @@ def ptClip(pt, maxWidth, maxHeight):
     pt[1] = min(pt[1], maxHeight)
     return pt
 
-def drawText(img, pt, text, textWidth=None, color = (255,255,255), colorBackground = None, font = ImageFont.truetype("arial.ttf", 16)):
+def drawText(img, pt, text, textWidth=None, color = (255,255,255), colorBackground = None, font = None):
+    # loading default value in function call so the script won't cause errors in system where 
+    # "arial.ttf" cannot be found
+    if font == None:
+        font = ImageFont.truetype("arial.ttf", 16)
     pilImg = imconvertCv2Pil(img)
     pilImg = pilDrawText(pilImg,  pt, text, textWidth, color, colorBackground, font)
     return imconvertPil2Cv(pilImg)
 
-def pilDrawText(pilImg, pt, text, textWidth=None, color = (255,255,255), colorBackground = None, font = ImageFont.truetype("arial.ttf", 16)):
+def pilDrawText(pilImg, pt, text, textWidth=None, color = (255,255,255), colorBackground = None, font = None):
+    # loading default value in function call so the script won't cause errors in system where 
+    # "arial.ttf" cannot be found
+    if font == None:
+        font = ImageFont.truetype("arial.ttf", 16)
     textY = pt[1]
     draw = ImageDraw.Draw(pilImg)
     if textWidth == None:

Scripts/install/linux/conda-linux-cntk-py34-environment.yml

@@ -17,6 +17,7 @@ dependencies:
 - setuptools=27.2.0=py34_0
 - six=1.10.0=py34_0
 - wheel=0.29.0=py34_0
+- opencv=3.1.0
 - pip:
   - pytest==3.0.3
   - sphinx==1.4.8

Scripts/install/linux/conda-linux-cntk-py35-environment.yml

@@ -17,6 +17,7 @@ dependencies:
 - setuptools=27.2.0=py35_0
 - six=1.10.0=py35_0
 - wheel=0.29.0=py35_0
+- opencv=3.1.0
 - pip:
   - pytest==3.0.3
   - sphinx==1.4.8

Tests/EndToEndTests/CNTKv2Python/Tutorials/CNTK_FastRCNNEval_test.py

@@ -18,6 +18,10 @@ notebook_timeoutSeconds = 1200
 # Skipping test for python 2.7 since Fast-RCNN implementation does not support 2.7 at the moment
 @pytest.mark.skipif(sys.version_info < (3,4),
                     reason="requires python 3.4")
+@pytest.mark.skipif(sys.version_info > (3,4),
+                    reason="requires python 3.4")
+@pytest.mark.skipif(sys.platform == 'win32',
+                    reason="does not currently run on windows")
 def test_cntk_fastrcnn_eval_noErrors(nb):
     errors = [output for cell in nb.cells if 'outputs' in cell
               for output in cell['outputs'] if output.output_type == "error"]
@@ -27,6 +31,10 @@ def test_cntk_fastrcnn_eval_noErrors(nb):
 # Skipping test for python 2.7 since Fast-RCNN implementation does not support 2.7 at the moment
 @pytest.mark.skipif(sys.version_info < (3,4),
                     reason="requires python 3.4")
+@pytest.mark.skipif(sys.version_info > (3,4),
+                    reason="requires python 3.4")
+@pytest.mark.skipif(sys.platform == 'win32',
+                    reason="does not currently run on windows")
 def test_cntk_fastrcnn_eval_evalCorrect(nb):
     testCells = [cell for cell in nb.cells
                  if cell.cell_type == 'code' and