fuck

app.py

@@ -80,12 +80,12 @@ def process(
     ocr_bbox_rslt, is_goal_filtered = check_ocr_box(image_save_path, display_img = False, output_bb_format='xyxy', goal_filtering=None, easyocr_args={'paragraph': False, 'text_threshold':0.9}, use_paddleocr=True)
     text, ocr_bbox = ocr_bbox_rslt
     # print('prompt:', prompt)
-    dino_labled_img, label_coordinates, parsed_content_list = get_som_labeled_img(image_save_path, yolo_model, BOX_TRESHOLD = box_threshold, output_coord_in_ratio=False, ocr_bbox=ocr_bbox,draw_bbox_config=draw_bbox_config, caption_model_processor=caption_model_processor, ocr_text=text,iou_threshold=iou_threshold)
+    dino_labled_img, label_coordinates, parsed_content_list = get_som_labeled_img(image_save_path, yolo_model, BOX_TRESHOLD = box_threshold, output_coord_in_ratio=True, ocr_bbox=ocr_bbox,draw_bbox_config=draw_bbox_config, caption_model_processor=caption_model_processor, ocr_text=text,iou_threshold=iou_threshold)
     image = Image.open(io.BytesIO(base64.b64decode(dino_labled_img)))
     print('finish processing')
     parsed_content_list = '\n'.join(parsed_content_list)
     
- # Format the coordinates output in a more readable way
+    # Format the coordinates output in a more readable way
     # coordinates_text = "Bounding Box Coordinates (x, y, width, height):\n"
     # for box_id, coords in sorted(label_coordinates.items(), key=lambda x: int(x[0])):
     #     # Convert numpy array to list and round values