my

app.py

@@ -128,23 +128,6 @@ def process_image():
         print(f"Checking contents of /app/data: {bounding_box_save_path}")
         print(f"Directory listing: {os.listdir('./app/Folder1')}")
         print(f"Bounding box coordinates saved at {bounding_box_save_path}")
-        try:
-          reader = easyocr.Reader(['en'],recog_network='en_sample',model_storage_directory='./EasyOCR-Trainer/EasyOCR/easyocr/model', user_network_directory='./EasyOCR-Trainer/EasyOCR/user_network')
-        except Exception as e:
-                print(f"Error initializing EasyOCR Reader: {e}")
-                raise
-        reader = easyocr.Reader(
-            ['en'],
-            recog_network='en_sample',
-            model_storage_directory='./EasyOCR-Trainer/EasyOCR/easyocr/model',
-            user_network_directory='./EasyOCR-Trainer/EasyOCR/user_network')
-        import re
-        input_file_path = './bounding_boxes.txt'
-        cropped_images_folder = './app/cropped_images/'
-        output_csv_path = './Folder2/' + ii + 'bounding_boxes_with_recognition.csv'
-        print(f"Checking contents of ./app/data: {bounding_box_save_path}")
-        print(f"Directory listing: {os.listdir('./app/data')}")
-
         with open(input_file_path, 'r') as infile:
             lines = infile.readlines()
         with open(output_csv_path, 'w', newline='', encoding='utf-8') as csvfile:
@@ -163,11 +146,6 @@ def process_image():
                     else:
                         print("No bounding box found in the info.")
                     cropped_image = cv2.imread(cropped_image_path, cv2.IMREAD_GRAYSCALE)
-                    horizontal_list1, free_list1 = reader.detect(cropped_image)
-                    free_list1 = free_list1 if free_list1 is not None else []
-                    horizontal_list1 = [box for sublist in horizontal_list1 for box in sublist]
-                    free_list1 = []
-                    horizontal_list_for_recognize = detected_boxes if not horizontal_list1 else horizontal_list1
                     recognized_text = pytesseract.image_to_string(cropped_image)
                     print(f"Recognized Text: {recognized_text}")