[Development Issue] 试图引入Stariver（团子OCR）作为Detector与OCR工具，但输出时遇到了一些问题。

[PiDanShouRouZhouXD]

我在开发团子OCR的支持时，输出的文字的方向不正确。具体效果如下：

代码如下：

import os
import numpy as np
import cv2
import base64

from typing import List, Tuple
import requests
import json

from .common import CommonDetector
from ..utils import Quadrilateral

from dotenv import load_dotenv

load_dotenv()
STARRIVER_OCR_TOKEN = os.getenv('STARRIVER_OCR_TOKEN', '')

class StariverDetector(CommonDetector):


    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.token = STARRIVER_OCR_TOKEN
        if self.token is None:
            raise ValueError('团子OCR需要设置 STARRIVER_OCR_TOKEN 的环境变量。')
        self.url = 'https://dl.ap-sh.starivercs.cn/v2/manga_trans/advanced/manga_ocr'

    async def _detect(self, image: np.ndarray, detect_size: int, text_threshold: float, box_threshold: float,
                        unclip_ratio: float, verbose: bool = False) -> Tuple[List[Quadrilateral], np.ndarray, np.ndarray]:
        
        img_encoded = cv2.imencode('.jpg', image)[1]
        img_base64 = base64.b64encode(img_encoded).decode('utf-8')
        textlines: List[Quadrilateral] = []
        data = {
            "token": self.token,
            "mask": True,
            "refine": True,
            "filtrate": True,
            "disable_skip_area": True,
            "detect_scale": 3,
            "merge_threshold": 0.5,
            "low_accuracy_mode": False,
            "image": img_base64
        }

        response = requests.post(self.url, data=json.dumps(data))
        response_data = response.json()['Data']

        if verbose:
            with open('det_result.json', 'w', encoding='utf-8') as f:
                json.dump(response_data, f, ensure_ascii=False, indent=4)

        for block in response_data['text_block']:
            pts_from_ocr = np.array([
                block['block_coordinate']['upper_left'],
                block['block_coordinate']['upper_right'],
                block['block_coordinate']['lower_right'],
                block['block_coordinate']['lower_left']
            ])
            text = ''.join(block['texts'])
            
            if verbose:
                print(f"识别出来的文本块: {text}")

            # if block['is_vertical'] == 1:
            #     direction = 'v'
            # else:
            #     direction = 'h'

            fg_color = block['foreground_color']
            bg_color = block['background_color']

            textlines.append(Quadrilateral(pts=pts_from_ocr, text=text, prob=1.0, fg_r=fg_color[0], fg_g=fg_color[1], fg_b=fg_color[2], bg_r=bg_color[0], bg_g=bg_color[1], bg_b=bg_color[2]))

        raw_mask = self.base64_to_ndarray(response_data['mask'])
        
        # 处理mask
        mask_resized = cv2.resize(raw_mask, (raw_mask.shape[1] * 2, raw_mask.shape[0] * 2), interpolation=cv2.INTER_LINEAR)
        raw_mask = np.clip(mask_resized * 255, 0, 255).astype(np.uint8)

        return textlines, raw_mask, None
    
    @staticmethod
    def base64_to_ndarray(base64_str: str) -> np.ndarray:
        img_data = base64.b64decode(base64_str)
        img_array = np.frombuffer(img_data, np.uint8)
        img = cv2.imdecode(img_array, cv2.IMREAD_GRAYSCALE)  # 修改为灰度图读取
        return img

请问这可能是什么原因导致的？应该检查代码的哪些部分？