spaces added

Author: Harivind

__pycache__/segment.cpython-37.pyc

@@ -4,12 +4,13 @@
 import cv2
 import numpy as np
 from segment import segment_input
+from segment_spaces import segmentspaces_input
 import io 
 from fastai.vision import *
 
-
+# ROOT_DIR="D:\\Projects\\OcrKannada\\Application\\"
 app = Flask(__name__)
-app.config['UPLOAD_FOLDER'] = 'D:\\Projects\\OcrKannada\\Application\\static\\Upload'
+# app.config['UPLOAD_FOLDER'] = ROOT_DIR+'static\\Upload'
 app.secret_key = 'asrtarstaursdlarsn'
 #unicode for each dependent vowel
 
@@ -108,15 +109,15 @@ def upload():
             print("No file")
             return render_template('./index.html',result='false',uploaded='false',imagesrc="/static/assets/img/1%20CBkz7f_KjNh_wVuqLp-m0A.png")
         file = request.files['file']
-        # if user does not select file, browser also
-        # submit an empty part without filename
         if file.filename == '':
             return render_template('./index.html',result='false',uploaded='false',imagesrc="/static/assets/img/1%20CBkz7f_KjNh_wVuqLp-m0A.png")
         if file:
             # print("Hello")
             filename = secure_filename(file.filename)
-            file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
-            number_files=segment_input(os.path.join(app.config['UPLOAD_FOLDER'], filename),filename.split(".")[0])
+            # file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
+            file.save("./static/Upload/{}".format(filename))
+            # number_files=segment_input(os.path.join(app.config['UPLOAD_FOLDER'], filename),filename.split(".")[0])
+            number_files=segmentspaces_input("./static/Upload/{}".format(filename),filename.split(".")[0])
             #<HARIS CODE>
             s=''
             # with open('./static/output.txt','w') as outputFile:
@@ -131,6 +132,7 @@ def upload():
                 #img with size 6X9 is a space
                 if img.size[0]==6 and img.size[1]==9:
                     # outputFile.write(' ')
+                    s+=' '
                     print("Skipped: ",i+1)
                     continue
 
@@ -148,11 +150,6 @@ def upload():
                 except:
                     # outputFile.write('')
                     s+='?'
-            # f = io.open("./static/output.txt", mode="r", encoding="utf-8")
-            # s=f.readlines()
-
-            # for i in s:
-                # print(i)
             print('S: ',s)
             try:
                 return render_template('./index.html',result='true',imagesrc="/static/Upload/{}".format(filename),data=s)

__pycache__/segment_spaces.cpython-37.pyc

@@ -109,3 +109,4 @@ dependencies:
     - wasabi==0.7.1
     - werkzeug==1.0.1
     - zipp==3.1.0
+

app.py

@@ -1 +1,13 @@
-Kannada Character Recognition
+# KannadaOCR
+## Instructions to run Web Application:
+* Environment Setup
+  * Open Anaconda Prompt
+  * Enter the Project directory
+  * Execute the following commands:
+  
+      conda env create -f environment.yml
+  
+      conda activate ocr
+* To run the application:
+
+      python app.py

environment.yml

@@ -0,0 +1,110 @@
+import cv2
+import numpy as np
+
+def segmentspaces_input(PATH,filename):
+    # Insert location of image here
+    image = cv2.imread(PATH)
+    ret,image = cv2.threshold(image,220,255,cv2.THRESH_BINARY)
+
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    _, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
+
+    kernel = np.ones((5, 5), np.uint8)
+    img_dilated = cv2.dilate(thresh, kernel, iterations = 1)
+
+    cnts, _ = cv2.findContours(img_dilated.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+    # Array of initial bounding rects
+    rects = []
+
+    # Bool array indicating which initial bounding rect has
+    # already been used
+    rectsUsed = []
+
+    # Just initialize bounding rects and set all bools to false
+    for cnt in cnts:
+        rects.append(cv2.boundingRect(cnt))
+        rectsUsed.append(False)
+
+    # Sort bounding rects by x coordinate
+    def getXFromRect(item):
+        return item[0]
+
+    rects.sort(key = getXFromRect)
+
+    # Array of accepted rects
+    acceptedRects = []
+
+    # Merge threshold for x coordinate distance
+    xThr = 5
+
+    # Iterate all initial bounding rects
+    for supIdx, supVal in enumerate(rects):
+        if (rectsUsed[supIdx] == False):
+
+            # Initialize current rect
+            currxMin = supVal[0]
+            currxMax = supVal[0] + supVal[2]
+            curryMin = supVal[1]
+            curryMax = supVal[1] + supVal[3]
+
+            # This bounding rect is used
+            rectsUsed[supIdx] = True
+
+            # Iterate all initial bounding rects
+            # starting from the next
+            for subIdx, subVal in enumerate(rects[(supIdx+1):], start = (supIdx+1)):
+
+                # Initialize merge candidate
+                candxMin = subVal[0]
+                candxMax = subVal[0] + subVal[2]
+                candyMin = subVal[1]
+                candyMax = subVal[1] + subVal[3]
+
+                # Check if x distance between current rect
+                # and merge candidate is small enough
+                if (candxMin <= currxMax + xThr):
+
+                    # Reset coordinates of current rect
+                    currxMax = candxMax
+                    curryMin = min(curryMin, candyMin)
+                    curryMax = max(curryMax, candyMax)
+
+                    # Merge candidate (bounding rect) is used
+                    rectsUsed[subIdx] = True
+                else:
+                    break
+
+            # No more merge candidates possible, accept current rect
+            acceptedRects.append([currxMin, curryMin, currxMax - currxMin, curryMax - curryMin])
+
+    # for rect in acceptedRects:
+        # print(rect[0],rect[1],rect[2],rect[3])
+        # img = cv2.rectangle(image, (rect[0], rect[1]), (rect[0] + rect[2], rect[1] + rect[3]), (121, 11, 189), 2)
+
+    # cv2_imshow(image)
+    c=0
+    c=0
+    for i in range(len(acceptedRects)):
+        flag=0
+        stpt = [acceptedRects[i][0], acceptedRects[i][1]]
+        endpt=[acceptedRects[i][0]+acceptedRects[i][2], acceptedRects[i][1]+acceptedRects[i][3]]
+        if i<len(acceptedRects)-1:
+            nstpt = [acceptedRects[i+1][0], acceptedRects[i+1][1]]
+            nendpt=[acceptedRects[i+1][0]+acceptedRects[i+1][2], acceptedRects[i+1][1]+acceptedRects[i+1][3]]
+            dis = nstpt[0]-endpt[0]
+            print(dis)
+            if dis > 100:
+                temp1 = np.zeros((6,9), dtype=int)
+                # cv2_imshow(temp1)
+                flag=1
+        cropp= image[stpt[1]:endpt[1], stpt[0]:endpt[0]]
+        color = [255, 255, 255]
+        pad=100
+        new_im = cv2.copyMakeBorder(cropp, pad, pad, pad, pad, cv2.BORDER_CONSTANT,value=color)
+        c+=1
+        cv2.imwrite("./images/{}c{}.png".format(filename,c), new_im)
+        if flag==1:
+            c+=1
+            cv2.imwrite("./images/{}c{}.png".format(filename,c), temp1)
+    return c