rotation 180 degree for reversed images after detecting clef

outputs/22.txt

@@ -2,4 +2,5 @@
 [ \meter<"4/2"> d1/4 d1/16 e1/8 e1/16 e1/32 {e1/4,g1/4} e1/4 e1/8 c1/8 g1/16 c1/16 e1/16],
 [ \meter<"4/2"> {a1/4,d1/4,f1/4} a1/8 d1/8 c1/16 f1/16 d1/16 e1/16 c2/16 g2/16 d2/16 e2/16 {b1/4,f1/4,g1/4} c1/4 g1/4 a1/8 a1/32],
 [ \meter<"4/2"> c1/16 d1/16 d1/16 e1/16 e1/4 e1/4 g1/4 e1/4 g1/4 d2/4]
+
 }

outputs/29.txt

@@ -1 +1 @@
-[ \meter<"4/4">]
+[ \meter<"4/4"> {c1/4} {d1/4} f1/2 g1/2 b1/8]

outputs/30.txt

@@ -1,5 +1 @@
-<<<<<<< HEAD
-[ 
-=======
-[ \meter<"4/4">]
->>>>>>> e692483580c72e611518e04d6b8502194c5daf82
+[ \meter<"4/4"> {c1/4} {d1/4} f1/2 g1/2 c2/8]

outputs/31.txt

@@ -1 +1 @@
-[ \meter<"4/4"> c1/8 g1/4 a1/4 b1/4]
+[ \meter<"2/2">]

src/deskewing/deskewing.py

@@ -31,24 +31,34 @@ def deskew(img,isSymbol=False,axis=1):
     rotated = inter.rotate(img, trueAngle, reshape=True, order=0)
     return rotated,trueAngle
 
-def isReversed(segContours,maxSpace,maxLenStaffLines):
+def isReversed(segContours,maxSpace,maxLenStaffLines,heights = []):
     found = False
-    print(segContours)
-    print("maxLenStaffLines",maxLenStaffLines)
-    print("maxSpace",maxSpace)
-    for contour in segContours:
-        if(found == True):
-            break
-        for Xmin,Xmax,Ymin,Ymax in contour:
-            soulKeySearching = Ymax - Ymin
-
-            # detecting Soul Key
-            if (soulKeySearching > 6*maxSpace):
-                soulKeyDist = Xmin
-                found = True
+    if (len(heights) == 0):
+        for contour in segContours:
+            if(found == True):
                 break
+            for Xmin,Xmax,Ymin,Ymax in contour:
+                soulKeySearching = Ymax - Ymin
+
+                # detecting Soul Key
+                if (soulKeySearching > 6*maxSpace):
+                    soulKeyDist = Xmin
+                    found = True
+                    break
+    else:
+        maxValue = 0
+        maxIndex = 0
+        indexInSeg = 0
+        #getting the clef in the first segment only
+        for H in heights[0]:
+            if H > maxValue:
+                maxValue = H
+                maxIndex = indexInSeg
+            indexInSeg+=1
+
+        #after detecting clef, now getting the xmin of this contour
+        soulKeyDist = segContours[0][maxIndex][0]
 
-    print("soulKeyDist",soulKeyDist)
     if (soulKeyDist > 0.5 * maxLenStaffLines):
         return True
     else:

src/main.py

@@ -5,6 +5,7 @@
 from inout.generateOutput import *
 from features.checkScanned import *
 from features.extractfeatures import *
+from deskewing.deskewing import *
 import pickle
 import os
 import cv2
@@ -23,23 +24,39 @@
 inputFolder = args.inputfolder
 outputFolder = args.outputfolder
 
-digitsFileModel = 'models/digits_model.sav'
-symbolsFileModel = 'models/symbols_model.sav'
-accedintalsFileModel = 'models/accedintals_model.sav'
+digitsFileModel = '../models/digits_model.sav'
+symbolsFileModel = '../models/symbols_model.sav'
+accedintalsFileModel = '../models/accedintals_model.sav'
 
 loaded_digits_model = pickle.load(open(digitsFileModel, 'rb'))
 loaded_symbols_model = pickle.load(open(symbolsFileModel, 'rb'))
 loaded_accedintals_model = pickle.load(open(accedintalsFileModel, 'rb'))
 
 for fNum, filename in enumerate(os.listdir(inputFolder)):
     binarizedImg = preprocessing(inputFolder + '/' + filename)
+    # copy is taken from binarized Image
+    binarizedImgCopy = np.copy(binarizedImg)
+    maxLenStaffLines = binarizedImg.shape[1]
+
+    heights = []
     isHorizontal = getHorizontalLines(binarizedImg)
     origImg=(binarizedImg*255).astype("uint8")
     if(isHorizontal):
         segContours, segContoursDim, maxSpace, checkNumList, segPeakMids, segWidths = staffRemoval(binarizedImg)
     else:
         segContours, segContoursDim, maxSpace, checkNumList, segPeakMids, segWidths, segAspects ,widths,heights,Ys= staffRemovalNonHorizontal(binarizedImg)
 
+    ################check if image is reversed##############################
+    isImageReversed = isReversed(segContoursDim,maxSpace,maxLenStaffLines,heights)
+    if (isImageReversed == True):
+        rotatedImage = inter.rotate(binarizedImgCopy, 180, reshape=True, order=0)
+        isHorizontal = getHorizontalLines(rotatedImage)
+        origImg=(rotatedImage*255).astype("uint8")
+        if(isHorizontal):
+            segContours, segContoursDim, maxSpace, checkNumList, segPeakMids, segWidths = staffRemoval(rotatedImage)
+        else:
+            segContours, segContoursDim, maxSpace, checkNumList, segPeakMids, segWidths, segAspects ,widths,heights,Ys= staffRemovalNonHorizontal(rotatedImage)
+
     outFileName = filename.split('.')[0]
     f = open(outputFolder + '/' + outFileName+'.txt', "w")