Update the API usage for the latest SDK

Author: yushulx

examples/official/camera.py

@@ -82,8 +82,8 @@ def on_captured_result_received(self, captured_result):
 
                         del location
 
-                    elif item.get_type() == EnumCapturedResultItemType.CRIT_NORMALIZED_IMAGE:
-                        location = item.get_location()
+                    elif item.get_type() == EnumCapturedResultItemType.CRIT_DESKEWED_IMAGE:
+                        location = item.get_source_deskew_quad()
                         x1 = location.points[0].x
                         y1 = location.points[0].y
                         x2 = location.points[1].x

examples/official/file.py

@@ -29,20 +29,21 @@
             if not os.path.exists(image_path):
                 print("The image path does not exist.")
                 continue
+            
             result = cvr.capture(
                 image_path, EnumPresetTemplate.PT_DETECT_AND_NORMALIZE_DOCUMENT.value)
             if result.get_error_code() != EnumErrorCode.EC_OK:
                 print("Error:", result.get_error_code(),
                       result.get_error_string())
-            normalized_images_result = result.get_normalized_images_result()
-            if normalized_images_result is None or len(normalized_images_result.get_items()) == 0:
+            processed_document_result = result.get_processed_document_result()
+            if processed_document_result is None or len(processed_document_result.get_deskewed_image_result_items()) == 0:
                 print("No normalized documents.")
             else:
-                items = normalized_images_result.get_items()
+                items = processed_document_result.get_deskewed_image_result_items()
                 print("Normalized", len(items), "documents.")
-                for index, item in enumerate(normalized_images_result.get_items()):
+                for index, item in enumerate(processed_document_result.get_deskewed_image_result_items()):
                     out_path = "normalizedResult_" + str(index) + ".png"
-                    image_manager = ImageManager()
+                    image_io = ImageIO()
                     image = item.get_image_data()
                     if image != None:
 
@@ -51,7 +52,7 @@
                         # Draw the detected rotation angle on the original image
                         cv_image = cv2.imread(image_path)
 
-                        location = item.get_location()
+                        location = item.get_source_deskew_quad()
                         x1 = location.points[0].x
                         y1 = location.points[0].y
                         x2 = location.points[1].x
@@ -71,9 +72,12 @@
                         cv2.waitKey(0)
                         cv2.destroyAllWindows()
 
-                        errorCode, errorMsg = image_manager.save_to_file(
+                        errorCode, errorMsg = image_io.save_to_file(
                             image, out_path)
                         if errorCode == 0:
                             print("Document " + str(index) +
                                   " file: " + out_path)
+                        else:
+                            print("Error saving document " + str(index) +
+                                  " file: " + out_path + ", ErrorCode:", errorCode, ", ErrorString:", errorMsg)
     input("Press Enter to quit...")

examples/official/orientation_detection.py

@@ -32,15 +32,15 @@
             if result.get_error_code() != EnumErrorCode.EC_OK:
                 print("Error:", result.get_error_code(),
                       result.get_error_string())
-            normalized_images_result = result.get_normalized_images_result()
-            if normalized_images_result is None or len(normalized_images_result.get_items()) == 0:
+            processed_document_result = result.get_processed_document_result()
+            if processed_document_result is None or len(processed_document_result.get_deskewed_image_result_items()) == 0:
                 print("No normalized documents.")
             else:
-                items = normalized_images_result.get_items()
+                items = processed_document_result.get_deskewed_image_result_items()
                 print("Normalized", len(items), "documents.")
-                for index, item in enumerate(normalized_images_result.get_items()):
+                for index, item in enumerate(processed_document_result.get_deskewed_image_result_items()):
                     out_path = "normalizedResult_" + str(index) + ".png"
-                    image_manager = ImageManager()
+                    image_io = ImageIO()
                     image = item.get_image_data()
                     if image != None:
 
@@ -57,7 +57,7 @@
                         # Draw the detected rotation angle on the original image
                         cv_image = cv2.imread(image_path)
 
-                        location = item.get_location()
+                        location = item.get_source_deskew_quad()
                         x1 = location.points[0].x
                         y1 = location.points[0].y
                         x2 = location.points[1].x
@@ -92,7 +92,7 @@
                         cv2.waitKey(0)
                         cv2.destroyAllWindows()
 
-                        errorCode, errorMsg = image_manager.save_to_file(
+                        errorCode, errorMsg = image_io.save_to_file(
                             image, out_path)
                         if errorCode == 0:
                             print("Document " + str(index) +