Enhances setup.py to prepare shipping to pipy. Creates proper installer for Windows. To be checked on several machines. TODO : remove pictures from source folder, move to GDrive (leave one sample though). Add ant script to ease compilation. Ship application with

TODO

@@ -1,2 +0,0 @@
-Files in input folder are process randomly. 
-=> Should insert a sort input method to order chronologically

facemovie/FaceParams.py

@@ -6,7 +6,7 @@ Created on 30 mars 2012
 import cv
 import os
 
-import training_types
+from facemovie import training_types
 
 class FaceParams(object):
     '''

facemovie/Facemovie.py

@@ -7,9 +7,9 @@ import os
 import sys
 
 import cv
-import lib.exif as exif
+from facemovie.lib import exif
 
-import Guy
+from facemovie import Guy
 
 
 class FaceMovie(object):

facemovie/Facemoviefier.py

@@ -9,9 +9,9 @@ import os
 import sys
 import argparse
 
-import Facemovie
+from facemovie import Facemovie
-import FaceParams
+from facemovie import FaceParams
-import training_types
+from facemovie import training_types
 
 class Facemoviefier():
     """
@@ -25,7 +25,7 @@ class Facemoviefier():
         
     def init_facemovie(self):
         # FIXME : par folder should be known (contained somewhere in the installation)
-        par_fo = os.path.join(self.args['root'], "haarcascades")        
+        par_fo = os.path.join(self.args['root'], "haarcascades")
         self.face_params = FaceParams.FaceParams(par_fo, self.args['param'])    
         self.facemovie = Facemovie.FaceMovie(self.args['input'], self.args['output'], self.face_params)
 
@@ -35,6 +35,16 @@ class Facemoviefier():
         """
         parser = argparse.ArgumentParser(description="Creates a movie from a bunch of photos containing a Face.")
         
+        # TODO: Integrate face params file choice, with list of possibilities. (ncurses)
+        # First to check if user asks for information 
+        params = training_types.simple_set.keys()
+        params.append('?')
+        parser.add_argument('-p', 
+                            '--param', 
+                            choices=params,
+                            help='Choose the desired file for training the recognition phaze. Should be chosen depending on the face presentation (profile, whole body, ...)', 
+                            default='frontal_face')     
+    
         # --- Arguments to be processed (for now) ---
         #input folder
         parser.add_argument('-i', '--input',  help='Input folder of the images', required=True)
@@ -76,16 +86,7 @@ class Facemoviefier():
                             '--sort', 
                             choices='ne',
                             help='Choose which way images are sorted. Can be either using file name (n) or exif metadata (e). Default is n' , 
-                            default='n')
+                            default='n')       
-        
-        # TODO: Integrate face params file choice, with list of possibilities.
-        params = training_types.simple_set.keys()
-        params.append('?')
-        parser.add_argument('-p', 
-                            '--param', 
-                            choices=params,
-                            help='Choose the desired file for training the recognition phaze. Should be chosen depending on the face presentation (profile, whole body, ...)', 
-                            default='frontal_facee')        
         
         args = vars(parser.parse_args())
         return args

setup.py

@@ -6,11 +6,32 @@ Created on 19 avr. 2012
 # creating executable here
 from distutils.core import setup
 import py2exe, sys, os
+import facemovie
 
 sys.argv.append('py2exe')
 
+# Utility function to read the README file.
+def read(fname):
+    return open(os.path.join(os.path.dirname(__file__), fname)).read()
+
 setup(
+    name = "Facemovie",
+    version = "0.4",
+    author = "Julien Lengrand-Lambert",
+    author_email = "jlengrand@gmail.com",
+    description = ("An application aiming at creating a video of faces for people taking 'one picture a day' of themselves"),
+    license = "BSD",
+    keywords = "image_processing computer_vision one_picture_a_day photography",
+    url = "https://github.com/jlengrand/FaceMovie",
+    packages=['facemovie', 'facemovie.lib', 'facemovie.haarcascades'],
+    long_description=read('README.markdown'),
+    classifiers=[
+        "Development Status :: 3 - Alpha",
+        "Topic :: Utilities",
+        "Environment :: Console",
+        "License :: OSI Approved :: BSD License",
+    ],
     options = {'py2exe': {'bundle_files': 1, 'includes': ['numpy'] } },
-    console=['facemovie.py'],
+    console=['facemovie/Facemoviefier.py'],
     zipfile = None,
 )