diff --git a/docker/scripts/apply_mineru_patches.py b/docker/scripts/apply_mineru_patches.py
index 77ed4a7..f0e6e6f 100644
--- a/docker/scripts/apply_mineru_patches.py
+++ b/docker/scripts/apply_mineru_patches.py
@@ -15,9 +15,9 @@ def patch_a_predict_rec_imgw(infer_dir):
     """predict_rec.py: imgW 对齐到 32"""
     f = os.path.join(infer_dir, 'predict_rec.py')
     c = open(f).read()
-    old = r'(imgW = max\(min\(imgW, self\.limited_max_width\), self\.limited_min_width\)\n)'
-    new = r'\1        imgW = math.ceil(imgW / 32) * 32\n'
-    c2 = re.sub(old, new, c)
+    old = r'(^ *)(imgW = max\(min\(imgW, self\.limited_max_width\), self\.limited_min_width\)\n)'
+    new = r'\1\2\1imgW = math.ceil(imgW / 32) * 32\n'
+    c2 = re.sub(old, new, c, flags=re.MULTILINE)
     if c2 == c:
         if 'math.ceil(imgW / 32)' not in c:
             raise RuntimeError('Patch A: cannot find imgW line')
@@ -31,17 +31,17 @@ def patch_b_predict_rec_batch(infer_dir):
     """predict_rec.py: 批次填充"""
     f = os.path.join(infer_dir, 'predict_rec.py')
     c = open(f).read()
-    old = r'(        norm_img_batch = np\.concatenate\(norm_img_batch\))'
+    old = r'(^ *)(norm_img_batch = np\.concatenate\(norm_img_batch\))'
     new = (
-        '        actual_batch_size = len(norm_img_batch)\n'
-        '        if actual_batch_size < batch_num:\n'
-        '            pad_size = batch_num - actual_batch_size\n'
-        '            pad_img = np.zeros_like(norm_img_batch[0])\n'
-        '            for _ in range(pad_size):\n'
-        '                norm_img_batch.append(pad_img)\n'
-        r'\1'
+        r'\1actual_batch_size = len(norm_img_batch)\n'
+        r'\1if actual_batch_size < batch_num:\n'
+        r'\1    pad_size = batch_num - actual_batch_size\n'
+        r'\1    pad_img = np.zeros_like(norm_img_batch[0])\n'
+        r'\1    for _ in range(pad_size):\n'
+        r'\1        norm_img_batch.append(pad_img)\n'
+        r'\1\2'
     )
-    c2 = re.sub(old, new, c)
+    c2 = re.sub(old, new, c, flags=re.MULTILINE)
     if c2 == c:
         if 'actual_batch_size' not in c:
             raise RuntimeError('Patch B: cannot find norm_img_batch concatenation')
@@ -52,8 +52,8 @@ def patch_b_predict_rec_batch(infer_dir):
     # 修改 range(len(rec_result)) → range(actual_batch_size)
     c3 = open(f).read()
     c4 = re.sub(
-        r'for rno in range\(len\(rec_result\)\):',
-        '                for rno in range(actual_batch_size):',
+        r'( +)for rno in range\(len\(rec_result\)\):',
+        r'\1for rno in range(actual_batch_size):',
         c3
     )
     open(f, 'w').write(c4)
@@ -63,9 +63,9 @@ def patch_c_predict_det_contiguous(infer_dir):
     """predict_det.py: contiguous 检查"""
     f = os.path.join(infer_dir, 'predict_det.py')
     c = open(f).read()
-    old = r'(            inp = inp\.to\(self\.device\)\n)'
-    new = r'\1            if not inp.is_contiguous():\n                inp = inp.contiguous()\n'
-    c2 = re.sub(old, new, c)
+    old = r'(^ *)(inp = inp\.to\(self\.device\)\n)'
+    new = r'\1\2\1if not inp.is_contiguous():\n\1    inp = inp.contiguous()\n'
+    c2 = re.sub(old, new, c, flags=re.MULTILINE)
     if c2 == c:
         if 'is_contiguous' not in c:
             raise RuntimeError('Patch C: cannot find inp.to(device) line')