added recipe for the manual conda-build

Author: alexlib

openpiv/preprocess.py

@@ -73,7 +73,7 @@ def dynamic_masking(image,method='edges',filter_size=7,threshold=0.005):
         blur_edges = gaussian_filter(edges,21)
         # create the boolean mask 
         bw = (blur_edges > threshold)
-        bw = binary_fill_holes(bw)
+        bw = img_as_ubyte(binary_fill_holes(bw))
         imcopy -= blurback
         imcopy[bw] = 0.0
     elif method is 'intensity':

recipe/bld.bat

@@ -0,0 +1,2 @@
+"%PYTHON%" setup.py install --single-version-externally-managed --record=record.txt
+if errorlevel 1 exit 1

recipe/build.sh

@@ -0,0 +1 @@
+$PYTHON setup.py install --single-version-externally-managed --record=record.txt  # Python command to install the script.

recipe/meta.yaml

@@ -0,0 +1,35 @@
+package:
+  name: openpiv
+  version: "0.21.2"
+
+source:
+  git_rev: v0.21.2
+  git_url: https://github.com/openpiv/openpiv-python.git
+
+requirements:
+  build:
+    - python
+    - pip
+    - setuptools
+    - numpy
+    - cython
+    - requests
+  run:
+    - python
+    - numpy
+    - scipy
+    - matplotlib
+    - scikit-image
+    - progressbar2
+    - future
+
+test:
+  imports:
+    - openpiv
+
+about:
+  home: https://github.com/openpiv/openpiv
+  license: GPLv3
+  license_file: LICENSE.txt
+  summary: "Open Source Particle Image Velocimetry"
+  doc_url: http://openpiv.readthedocs.io/

setup.py

@@ -69,7 +69,7 @@
 
 
 setup(  name = "OpenPIV",
-        version="0.21.1a",
+        version="0.21.2",
         author = "OpenPIV contributors",
         author_email = "[email protected]",
         description = "An open source software for PIV data analysis",