From 4c8b9738e454d76dd22c55e14ad5ae2869b6d63d Mon Sep 17 00:00:00 2001
From: Karamaz0V1 <florent.guiotte@gmail.com>
Date: Wed, 4 Apr 2018 18:28:05 +0200
Subject: [PATCH] Start of AttributeProfiles

---
 ld2dap/AttributeProfiles.py | 34 ++++++++++++++++++++++++++++++++++
 ld2dap/test.py              | 17 ++++++-----------
 2 files changed, 40 insertions(+), 11 deletions(-)
 create mode 100644 ld2dap/AttributeProfiles.py

diff --git a/ld2dap/AttributeProfiles.py b/ld2dap/AttributeProfiles.py
new file mode 100644
index 0000000..c8551cf
--- /dev/null
+++ b/ld2dap/AttributeProfiles.py
@@ -0,0 +1,34 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+# \file AttributeProfiles.py
+# \brief TODO
+# \author Florent Guiotte <florent.guiotte@gmail.com>
+# \version 0.1
+# \date 04 avril 2018
+#
+# TODO details
+
+from core import Filter
+
+## TODO: dep
+import sys
+sys.path.append('../triskele/python')
+import triskele
+
+class AttributeProfiles(Filter):
+    def __init__(self, area=None, sd=None, moi=None):
+        super().__init__(self.__class__.__name__)
+        self.area = area
+        self.sd   = sd
+        self.moi  = moi
+
+    def _process(self, data, metadata):
+        t       = triskele.Triskele(data, verbose=False)
+        att_min = t.filter(tree='min-tree', area=self.area,
+                              standard_deviation=self.sd,
+                              moment_of_inertia=self.moi)
+        att_max = t.filter(tree='max-tree', area=self.area,
+                              standard_deviation=self.sd,
+                              moment_of_inertia=self.moi)
+
+        return att, None
diff --git a/ld2dap/test.py b/ld2dap/test.py
index cea299e..1e3fbed 100644
--- a/ld2dap/test.py
+++ b/ld2dap/test.py
@@ -10,22 +10,17 @@
 
 from core import Input, Output, Filter
 from LoadTIFF import LoadTIFF
+from AttributeProfiles import AttributeProfiles as APs
 
 def main():
     i = LoadTIFF(['../Data/test.tiff'])
+    ap = APs()
     o = Output('o')
-    n = Filter('n')
-    f = Filter('f')
-    print(n)
-    #n.run()
-    print(n.input)
-    f.input = i
-    n.input = f
-    o.input = n
+
+    ap.input = i
+    o.input = i
+
     o.run()
-    #i.process(None)
-    print(n.input)
-    print(f.outputs)
 
 if __name__ == '__main__':
     main()