From baa306763eb45ad7a5c25dad48b2435b92dff1d6 Mon Sep 17 00:00:00 2001
From: Ruben <r@rubenvandeven.com>
Date: Fri, 17 Nov 2017 16:41:51 +0100
Subject: [PATCH] Extra parsing

---
 parse_output.py | 38 +++++++++++++++++++++++++++++++++++---
 1 file changed, 35 insertions(+), 3 deletions(-)

diff --git a/parse_output.py b/parse_output.py
index 6ace657..e076a0c 100644
--- a/parse_output.py
+++ b/parse_output.py
@@ -9,11 +9,13 @@ parser.add_argument('--frameOutput', '-o', required=True, help='directory to loo
 
 args = parser.parse_args()
 
+faces = []
 class Face:
 	def __init__(self, frame, data):
 		self.id = data['id']
 		self.frame = frame # Frame class
 		self.data = data # json data
+		self.disonanceScore = None
 	
 	def getFaceImg(self):
 		r = self.data['rect']
@@ -50,9 +52,27 @@ class Frame:
 			j = self.getJson()
 			
 			self.faces = [Face(self, f) for f in j['faces']]
+			faces.extend(self.faces)
 		
 		return self.faces
 	
+	def updateDisonanceScores(self):
+		totalValence = 0.0
+		totalFaces = 0
+		for face in self.getFaces():
+			totalValence += face.data['valence']
+			totalFaces += 1
+
+		if totalFaces == 0:
+			return
+		
+		avgValence = totalValence / totalFaces
+		
+		for face in self.getFaces():
+			face.disonanceScore = abs(face.data['valence'] - avgValence)
+		
+		
+	
 	def exists(self):
 		return os.path.exists(self.jsonPath) and os.path.exists(self.imgPath)
 
@@ -83,9 +103,9 @@ frames = loadFrames(args.frameOutput)
 lastTime = None
 for frameNr, frame in frames.items():
 	thisTime = frame.getJson()['t']
-	#~ print(frameNr, thisTime)
+	#print(frameNr, thisTime)
 	if not (lastTime is None) and lastTime > thisTime:
-		print "ERRROR!!"
+		print "ERRROR!! Time error at %s. Restarted scanner there?" % frameNr
 	lastTime = thisTime
 
 faceDir = os.path.join(args.frameOutput, 'faces')
@@ -105,7 +125,19 @@ def sumEmotions():
 	
 	average = summed / items
 	print ("Total emotion %d, positivity score %d (average: %s)" % (total, summed, average))
-
+	
+def getMostDisonant(nr = 5):
+	for frameNr, frame in frames.items():
+		frame.updateDisonanceScores()
+	faces.sort(key=lambda x: x.disonanceScore, reverse=True)
+	
+	mostDisonantFaces = faces[:5]
+	for face in mostDisonantFaces:
+		print("Frame %d, face %d, score %d, valence %d" % (face.frame.nr, face.id, face.disonanceScore, face.data['valence']))
+		face.getFaceImg().show()
+		
+	
 sumEmotions()
+getMostDisonant()
 #~ for frameNr, frame in frames.items():
 	#~ cutOutFaces(frame, faceDir)