重构为draw_tools：添加DetectInnerBox和PasteIntoFrame节点，移除TileImage和DrawLine节点

DetectInnerBox.py

@@ -0,0 +1,48 @@
+import cv2
+import torch
+import numpy as np
+
+
+class DetectInnerBox:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "mask": ("MASK",),  # 只接 MASK
+                "connectivity": ("INT", {"default": 4, "min": 4, "max": 8}),
+            }
+        }
+
+    RETURN_TYPES = ("INT", "INT")  # width, height
+    RETURN_NAMES = ("inner_w", "inner_h")
+    FUNCTION = "run"
+    CATEGORY = "DrawTools"
+
+    # ---------------- 主逻辑 ---------------- #
+    def run(self, mask, connectivity=4):
+        # ① tensor → numpy 单通道 0/255
+        if isinstance(mask, list):  # ComfyUI 有时包在 list 里
+            mask = mask[0]
+        if mask.ndim == 3:  # [1,H,W] → [H,W]
+            mask = mask[0]
+        np_mask = mask.cpu().numpy().astype("uint8") * 255  # 0/255
+
+        H, W = np_mask.shape[:2]
+
+        # ② flood-fill 把连边的白色清零
+        pad = cv2.copyMakeBorder(np_mask, 1, 1, 1, 1, cv2.BORDER_CONSTANT, value=0)
+        flags = 4 if connectivity == 4 else 8
+        cv2.floodFill(
+            pad, None, (0, 0), 0, loDiff=0, upDiff=0, flags=flags | (255 << 8)
+        )
+        inner = pad[1:-1, 1:-1]
+
+        # ③ 取剩余像素的 bbox
+        ys, xs = np.where(inner == 255)
+        if ys.size == 0:
+            return 0, 0
+
+        y0, y1 = ys.min(), ys.max()
+        x0, x1 = xs.min(), xs.max()
+
+        return int(x1 - x0 + 1), int(y1 - y0 + 1)