fix: 固定 paddleocr<3.0 和 transformers<4.54 避免 API 不兼容

requirements.txt

@@ -6,8 +6,8 @@ supervision==0.18.0
 numpy==1.26.4
 opencv-python-headless
 easyocr
-paddlepaddle
-paddleocr>=2.7.0
+paddlepaddle>=2.5.0,<3.0.0
+paddleocr>=2.7.0,<3.0.0
 gradio==5.6.0
 pydantic==2.10.6
 accelerate

util/utils.py

@@ -20,32 +20,14 @@ from matplotlib import pyplot as plt
 import easyocr
 from paddleocr import PaddleOCR
 reader = easyocr.Reader(['en'])
-# PaddleOCR 初始化：兼容新旧版本（逐步降级）
-def _init_paddle_ocr():
-    """尝试不同参数组合初始化 PaddleOCR，兼容 2.7~3.x 各版本"""
-    # 方案1: 旧版完整参数
-    configs = [
-        dict(lang='en', use_angle_cls=False, use_gpu=False, show_log=False,
-             max_batch_size=1024, use_dilation=True, det_db_score_mode='slow', rec_batch_num=1024),
-        # 方案2: 移除最新版不支持的参数
-        dict(lang='en', use_angle_cls=False, use_gpu=False, show_log=False),
-        # 方案3: 只用最基础的参数
-        dict(lang='en', use_angle_cls=False, use_gpu=False),
-        # 方案4: 最小化
-        dict(lang='en'),
-    ]
-    for i, cfg in enumerate(configs):
-        try:
-            ocr = PaddleOCR(**cfg)
-            if i > 0:
-                print(f"⚠️ PaddleOCR 使用方案{i+1}初始化成功（部分旧参数不兼容）", flush=True)
-            return ocr
-        except (ValueError, TypeError) as e:
-            print(f"⚠️ PaddleOCR 方案{i+1}失败: {e}", flush=True)
-            continue
-    raise RuntimeError("PaddleOCR 所有初始化方案均失败")
-
-paddle_ocr = _init_paddle_ocr()
+paddle_ocr = PaddleOCR(
+    lang='en',
+    use_angle_cls=False,
+    use_gpu=False,
+    show_log=False,
+    use_dilation=True,
+    det_db_score_mode='slow',
+    rec_batch_num=1024)
 import time
 import base64
 
@@ -533,6 +515,8 @@ def check_ocr_box(image_source: Union[str, Image.Image], display_img = True, out
         else:
             text_threshold = easyocr_args['text_threshold']
         result = paddle_ocr.ocr(image_np, cls=False)[0]
+        if result is None:
+            result = []
         coord = [item[0] for item in result if item[1][1] > text_threshold]
         text = [item[1][0] for item in result if item[1][1] > text_threshold]
     else:  # EasyOCR