fix(rapidocr_api): Fixed returned formatting errors (#200)

* rapidocr api
rapidocr_onnxruntime 版本 1.3.23  api返回格式需要格式化

api/demo.py

@@ -5,10 +5,10 @@
 import requests
 
 url = 'http://localhost:9003/ocr'
-img_path = '../python/tests/test_files/ch_en_num.jpg'
+img_path = '/tmp/page1_image1.jpg'
 
 with open(img_path, 'rb') as f:
     file_dict = {'image_file': (img_path, f, 'image/png')}
     response = requests.post(url, files=file_dict, timeout=60)
 
-print(response.text)
+print(response.text)

api/rapidocr_api/api.py

@@ -23,17 +23,32 @@ def __init__(self) -> None:
 
     def __call__(self, img: Image.Image) -> Dict:
         img = np.array(img)
-
         ocr_res, _ = self.ocr(img)
+
         if not ocr_res:
             return {}
 
         out_dict = {
             str(i): {"rec_txt": rec, "dt_boxes": dt_box, "score": score}
             for i, (dt_box, rec, score) in enumerate(ocr_res)
         }
-        return out_dict
 
+        return self.convert_to_json(out_dict)
+
+    def convert_to_json(self, data):
+        """Recursively convert NumPy types to Python types."""
+        if isinstance(data, np.ndarray):
+            return data.tolist()
+        elif isinstance(data, np.generic):
+            return data.item()
+        elif isinstance(data, (list, tuple)):
+            return [self.convert_to_json(item) for item in data]
+        elif isinstance(data, dict):
+            return {k: self.convert_to_json(v) for k, v in data.items()}
+        elif isinstance(data, np.bool_):
+            return bool(data)
+        else:
+            return data
 
 app = FastAPI()
 processor = OCRAPIUtils()