Loosinglenna

docs/source/examples/imageData.py

@@ -33,7 +33,7 @@
 
 
 def load_image():
-    image = img.open('lenna.png')
+    image = img.open('boats.png')
     pix = np.array(image)
     channels = list(image.mode)
     return pix, channels

docs/source/examples/imageWithMetadata.py

@@ -11,17 +11,6 @@
 
  Author: Jan Grewe <[email protected]>
 
- See https://github.com/G-node/nix/wiki for more information.
-
- We use the "Lenna" image in this tutorial.
-
- "Lenna" by Original full portrait: "Playmate of the Month". Playboy
- Magazine. November 1972, photographed by Dwight Hooker.This 512x512
- electronic/mechanical scan of a section of the full portrait:
- Alexander Sawchuk and two others[1] - The USC-SIPI image
- database. Via Wikipedia -
- http://en.wikipedia.org/wiki/File:Lenna.png#mediaviewer/File:Lenna.png
-
 """
 import numpy as np
 import nixio as nix
@@ -58,7 +47,7 @@ def print_metadata_table(section, ax):
 
 
 def load_image():
-    image = img.open('lenna.png')
+    image = img.open('boats.png')
     pix = np.array(image)
     channels = list(image.mode)
     return pix, channels
@@ -80,20 +69,17 @@ def plot_data(data_array):
     if docutils.is_running_under_pytest():
         plt.close()
     else:
-        fig.savefig('image_with_metadata.png')
+        fig.savefig('../images/image_with_metadata.png')
         fig.show()
 
 
 def add_image_information(nix_file):
     section = nix_file.create_section('Image metadata', 'image_source')
-    section['Original name'] = 'Lenna'
-    section['Journal'] = 'Playboy Magazine'
-    section['Year'] = 1972
-    section['Month'] = 'November'
-    section['Author'] = 'Dwight Hooker'
-    section['Source'] = 'http://en.wikipedia.org/wiki/File:Lenna.png#mediaviewer/File:Lenna.png'
-    section['Comment'] =  '512x512 electronic/mechanical scan of a section of the full portrait: Alexander Sawchuk and two others[1] - The USC-SIPI image database.'
-    section['Model'] = 'Lena Soederberg'
+    section['Original name'] = 'Boats'
+    section['Location'] = 'Port Louis'
+    section['Year'] = 2014
+    section['Month'] = 'August'
+    section['Author'] = 'Self'
     return section
 
 

docs/source/examples/multipleROIs.py

@@ -13,15 +13,6 @@
 
  See https://github.com/G-node/nix/wiki for more information.
 
- We use the "Lenna" image in this tutorial.
-
- "Lenna" by Original full portrait: "Playmate of the Month". Playboy
- Magazine. November 1972, photographed by Dwight Hooker.This 512x512
- electronic/mechanical scan of a section of the full portrait:
- Alexander Sawchuk and two others[1] - The USC-SIPI image
- database. Via Wikipedia -
- http://en.wikipedia.org/wiki/File:Lenna.png#mediaviewer/File:Lenna.png
-
 """
 
 import nixio
@@ -33,7 +24,7 @@
 
 
 def load_image():
-    image = img.open('lenna.png')
+    image = img.open('boats.png')
     pix = np.array(image)
     channels = list(image.mode)
     return pix, channels
@@ -62,7 +53,7 @@ def plot_data(tag):
     if docutils.is_running_under_pytest():
         plt.close()
     else:
-        # plt.savefig("../images/multiple_rois.png")
+        plt.savefig("../images/multiple_rois.png")
         plt.show()
 
 
@@ -71,7 +62,7 @@ def plot_roi_data(tag):
 
     fig = plt.figure(figsize=(5.5, 5.5))
     for p in range(position_count):
-        roi_data = tag.tagged_data(p, "lenna")[:]
+        roi_data = tag.tagged_data(p, "boats")[:]
         roi_data = np.array(roi_data, dtype='uint8')
         ax = fig.add_subplot(position_count, 1, p + 1)
         image = img.fromarray(roi_data)
@@ -80,7 +71,7 @@ def plot_roi_data(tag):
     if docutils.is_running_under_pytest():
         plt.close()
     else:
-        # fig.savefig('../images/retrieved_rois.png')
+        fig.savefig('../images/retrieved_rois.png')
         plt.show()
 
 
@@ -96,7 +87,7 @@ def main():
 
     # create a 'DataArray' to take the sinewave, add some information about
     # the signal
-    data = block.create_data_array("lenna", "nix.image.rgb", data=img_data)
+    data = block.create_data_array("boats", "nix.image.rgb", data=img_data)
     # add descriptors for width, height and channels
     data.append_sampled_dimension(1, label="height")
     data.append_sampled_dimension(1, label="width")
@@ -105,14 +96,14 @@ def main():
     num_regions = 3
     num_dimensions = len(data.dimensions)
     roi_starts = np.zeros((num_regions, num_dimensions), dtype=int)
-    roi_starts[0, :] = [250, 245, 0]
-    roi_starts[1, :] = [250, 315, 0]
-    roi_starts[2, :] = [340, 260, 0]
+    roi_starts[0, :] = [170, 50, 0]
+    roi_starts[1, :] = [250, 310, 0]
+    roi_starts[2, :] = [120, 425, 0]
 
     roi_extents = np.zeros((num_regions, num_dimensions), dtype=int)
-    roi_extents[0, :] = [30, 45, 3]
-    roi_extents[1, :] = [30, 40, 3]
-    roi_extents[2, :] = [25, 65, 3]
+    roi_extents[0, :] = [240, 175, 3]
+    roi_extents[1, :] = [60, 135, 3]
+    roi_extents[2, :] = [170, 125, 3]
 
     # create the positions DataArray
     positions = block.create_data_array("ROI positions", "nix.positions", data=roi_starts)

docs/source/examples/singleROI.py

@@ -11,15 +11,6 @@
 
  Author: Jan Grewe <[email protected]>
 
- We use the "Lenna" image in this tutorial.
-
- "Lenna" by Original full portrait: "Playmate of the Month". Playboy
- Magazine. November 1972, photographed by Dwight Hooker.This 512x512
- electronic/mechanical scan of a section of the full portrait:
- Alexander Sawchuk and two others[1] - The USC-SIPI image
- database. Via Wikipedia -
- http://en.wikipedia.org/wiki/File:Lenna.png#mediaviewer/File:Lenna.png
-
 """
 
 import nixio as nix
@@ -30,7 +21,7 @@
 
 
 def load_image():
-    image = img.open('lenna.png')
+    image = img.open('boats.png')
     pix = np.array(image)
     channels = list(image.mode)
     return pix, channels
@@ -54,7 +45,7 @@ def plot_data(tag):
     draw_rect(img_data, pos, ext)
     new_img = img.fromarray(img_data)
     if not docutils.is_running_under_pytest():
-        # new_img.save("../images/single_roi.png")
+        new_img.save("../images/single_roi.png")
         new_img.show()
 
 
@@ -69,16 +60,16 @@ def main():
     block = f.create_block("block name", "nix.session")
 
     # create a 'DataArray' to take the sinewave, add some information about the signal
-    data = block.create_data_array("lenna", "nix.image.rgb", data=img_data)
+    data = block.create_data_array("boats", "nix.image.rgb", data=img_data)
     # add descriptors for width, height and channels
     data.append_sampled_dimension(1, label="height")
     data.append_sampled_dimension(1, label="width")
     data.append_set_dimension(labels=channels)
 
     # create a Tag, position and extent must be 3-D since the data is 3-D
-    position = [250, 250, 0]
-    extent = [30, 100, 3]
-    tag = block.create_tag('Region of interest', 'nix.roi', position)
+    position = [170, 50, 0]
+    extent = [240, 175, 3]
+    tag = block.create_tag('Sailing boat', 'nix.roi', position)
     tag.extent = extent
     tag.references.append(data)
 

docs/source/image_data.rst

@@ -16,7 +16,7 @@ attribution in the code.
 
 .. literalinclude:: examples/imageData.py
     :lines: 59-64
-    :caption: Image data is just 3-D data that can be easily stored in a *DataArray*. We need to add three dimension descriptors, though (to run the example you need the :download:`example code <examples/imageData.py>` , the :download:`image <examples/lenna.png>` *imagemagick* or *xv* packages). 
+    :caption: Image data is just 3-D data that can be easily stored in a *DataArray*. We need to add three dimension descriptors, though (to run the example you need the :download:`example code <examples/imageData.py>` , the :download:`image <examples/boats.png>` *imagemagick* or *xv* packages). 
 
 .. image:: examples/lenna.png
     :alt: lenna