1

app.py

@@ -25,7 +25,8 @@ def enhance(img):
     return morph
 
 act =  [(150,240), (610,260)]
-
+act2 =  [(130,440), (590,460)]
+acts=[act,act2]
 
 def align_images(ref_gray, input_gray, enh= False):
     """
@@ -48,7 +49,7 @@ def align_images(ref_gray, input_gray, enh= False):
         st.image(input_gray)
     
     # Detect ORB keypoints and descriptors
-    orb = cv2.ORB_create(nfeatures=1500)
+    orb = cv2.ORB_create(nfeatures=3000)
     keypoints1, descriptors1 = orb.detectAndCompute(ref_gray, None)
     keypoints2, descriptors2 = orb.detectAndCompute(input_gray, None)
     
@@ -80,21 +81,24 @@ def ocr_with_crop(aligned_image):
     # enh = enhance(np.array(img))
     # st.image(enh)
     # Define the coordinates for cropping
-    crop_coordinates = act
-    
-    # Convert to rectangular bounds (x1, y1, x2, y2)
-    x1, y1 = crop_coordinates[0]
-    x2, y2 = crop_coordinates[1]
-    # Crop the image using the defined coordinates
-    # cropped_img = img.crop((x1, y1, x2, y2))
-    cropped_img = aligned_image[y1:y2,x1:x2]
-    st.image(cropped_img)
-    # Perform OCR on the cropped image
-    text = pytesseract.image_to_string(cropped_img)
-    
-    # Print the extracted text
-    st.write(text)
-
+    def ocr(act):
+        crop_coordinates = act
+        
+        # Convert to rectangular bounds (x1, y1, x2, y2)
+        x1, y1 = crop_coordinates[0]
+        x2, y2 = crop_coordinates[1]
+        # Crop the image using the defined coordinates
+        # cropped_img = img.crop((x1, y1, x2, y2))
+        cropped_img = aligned_image[y1:y2,x1:x2]
+        st.image(cropped_img)
+        # Perform OCR on the cropped image
+        text = pytesseract.image_to_string(cropped_img)
+        
+        # Print the extracted text
+        st.write(text)
+    for cor in acts:
+        ocr(cor)
+        
 if __name__== "__main__":
     ref = cv.imread("r.png",0)
     if inp:= st.file_uploader("upload your form in image format", type=['png']):