diff --git a/.gitignore b/.gitignore
index b9feb24da4ec2e083f56dcdf04f68aca45397170..08d9c28304209a902e8afdd224cf640913be1fd5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,4 @@
-/java_gui/dist/
-/java_gui/build/
\ No newline at end of file
+java_gui/dist/
+java_gui/build/
+qt_gui/
+vs2013/
\ No newline at end of file
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diff --git a/fet/README.txt b/fet/README.txt
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index 0000000000000000000000000000000000000000..157650e1bf5dcf68576408176abecb014d971c7f
--- /dev/null
+++ b/fet/README.txt
@@ -0,0 +1,22 @@
+FET - FOREGROUND EVALUATION TOOL
+
+Implemented in Python 2.7
+
+Available measurements
+----------------------
+
+TP - True positive:  Total number of true positive pixels.
+FP - False positive: Total number of false positive pixels.
+TN - True negative:  Total number of true negative pixels.
+FN - False negative: Total number of false negative pixels.
+
+Precision: Number of true positive pixels / (number of true positive pixels + number of false positive pixels).
+Recall:    Number of true positive pixels / (number of true positive pixels + number of false negative pixels).
+F-factor:  2 × (precision × recall)/(precision + recall). *** Also known as F1 score, F-score or F-measure.
+
+Description
+-----------
+# TP - # of foreground pixels classified as foreground pixels.
+# FP - # of background pixels classified as foreground pixels.
+# TN - # of background pixels classified as background pixels.
+# FN - # of foreground pixels classified as background pixels.
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diff --git a/fet/fet.py b/fet/fet.py
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index 0000000000000000000000000000000000000000..021abeaa7d9b8512abe632a521b708709f588818
--- /dev/null
+++ b/fet/fet.py
@@ -0,0 +1,88 @@
+# -*- coding: utf-8 -*-
+"""
+FET - FOREGROUND EVALUATION TOOL
+
+@author: Andrews Sobral
+"""
+
+import numpy as np
+import cv2
+from os import listdir
+from os.path import isfile, join
+
+path_gt = 'GT/'
+path_fg = 'FG/'
+path_sc = 'SC/'
+
+files_gt = [ f for f in listdir(path_gt) if isfile(join(path_gt,f)) ]
+files_fg = [ f for f in listdir(path_gt) if isfile(join(path_gt,f)) ]
+
+TP = .0 # True positive pixels
+FP = .0 # False positive pixels
+TN = .0 # True negative pixels
+FN = .0 # False negative pixels
+Recall = .0 # TP / (TP + FN)
+Precision = .0 # TP / (TP + FP)
+Fscore = .0 # 2*(Precision*Recall)/(Precision+Recall)
+
+# TP - # of foreground pixels classified as foreground pixels.
+# FP - # of background pixels classified as foreground pixels.
+# TN - # of background pixels classified as background pixels.
+# FN - # of foreground pixels classified as background pixels.
+
+green = [0,255,0] # for FN
+blue  = [255,0,0] 
+red   = [0,0,255] # for FP
+white = [255,255,255] # for TP
+black = [0,0,0] # for TN
+
+print 'Processing'
+k = 1
+for file_gt, file_fg in zip(files_gt, files_fg):
+    print(k, file_gt, file_fg)
+    img_gt = cv2.imread(path_gt + file_gt,cv2.IMREAD_GRAYSCALE)
+    img_fg = cv2.imread(path_fg + file_fg,cv2.IMREAD_GRAYSCALE)
+    #print(img_gt.shape,img_fg.shape)
+    rows,cols = img_gt.shape
+    img_res = np.zeros((rows,cols,3),np.uint8)
+    for i in xrange(rows):
+        for j in xrange(cols):
+            pixel_gt = img_gt[i,j]
+            pixel_fg = img_fg[i,j]        
+            if(pixel_gt == 255 and pixel_fg == 255):
+                TP = TP + 1
+                img_res[i,j] = white
+            if(pixel_gt == 0 and pixel_fg == 255):
+                FP = FP + 1
+                img_res[i,j] = red
+            if(pixel_gt == 0 and pixel_fg == 0):
+                TN = TN + 1
+                img_res[i,j] = black
+            if(pixel_gt == 255 and pixel_fg == 0):
+                FN = FN + 1
+                img_res[i,j] = green
+    cv2.imshow('GT',img_gt)
+    cv2.imshow('FG',img_fg)
+    cv2.imshow('SC',img_res)
+    cv2.imwrite(path_sc + file_gt, img_res)
+    cv2.waitKey(1) # 33
+    k = k + 1
+    #break
+cv2.destroyAllWindows()
+
+Recall = TP / (TP + FN)
+Precision = TP / (TP + FP)
+Fscore = 2*Precision*Recall/(Precision+Recall)
+
+print 'Score:'
+print 'TP: ', TP
+print 'FP: ', FP
+print 'TN: ', TN
+print 'FN: ', FN
+print 'Recall: ', Recall
+print 'Precision: ', Precision
+print 'Fscore: ', Fscore
+print ''
+
+#####################################################################
+