diff --git a/LabelPortShipRasterSlice/DataSamplePortSliceRaster_AA.py b/LabelPortShipRasterSlice/DataSamplePortSliceRaster_AA.py
index 06d181c..6902cc5 100644
--- a/LabelPortShipRasterSlice/DataSamplePortSliceRaster_AA.py
+++ b/LabelPortShipRasterSlice/DataSamplePortSliceRaster_AA.py
@@ -322,6 +322,7 @@ def check_B_in_A(A,B):
     # 计算矩形A和B的右边界和下边界
     Ax1 = Ax0 + Aw
     Ay1 = Ay0 + Ah
+
     Bx1 = Bx0 + Bw
     By1 = By0 + Bh
 
@@ -368,8 +369,11 @@ def getclusterDict(dotalist,imgheight,imgwidth,pitchSize=1024,max_overlap_rate=0
                 [centerX, centerY, minX, minY, maxX, maxY]=getExternCenter(dotalist, [ids])
                 dotaExtend=[minX,minY,maxX-minX,maxY-minY]
                 if check_B_in_A(slicesExten,dotaExtend):
+                    print("True: ", slicesExten, dotaExtend)
                     clusterDict[i]["id"].append(ids)
-                    hasContainIds.append(ids)
+                    # hasContainIds.append(ids)
+                else:
+                    print("False: ",slicesExten,dotaExtend)
 
     for ids in range(len(dotalist)):
         if ids in hasContainIds:
@@ -390,7 +394,7 @@ def drawSlictplot(clusterDict,dotalist,tiff_data,nrows=10,ncols=9):
     """
     fig, axes  = plt.subplots(nrows=nrows,ncols=ncols,figsize=(20, 16))
     plt.tight_layout(pad=3.0)
-
+    print(tiff_data.shape)
     # 9*10
     subid=0
     for cid in clusterDict:
@@ -398,7 +402,7 @@ def drawSlictplot(clusterDict,dotalist,tiff_data,nrows=10,ncols=9):
         colid=subid//nrows
         rowid=subid%nrows
         subid=subid+1
-        ax = axes[rowid, colid]
+        ax = axes[rowid]
         ax.set_title(str(cid))
         sliceData=tiff_data[sy:(sy+SliceSize),sx:(sx+SliceSize)]
         ax.imshow(sliceData, cmap='gray')
@@ -487,8 +491,8 @@ def DataSampleSliceRasterProcess(inbinfile,labelfilepath,outfolderpath,methodstr
     imgheight, imgwidth=tiff_data.shape
     clusterDict=getclusterDict(dotalist,imgheight,imgwidth,SliceSize,0.25)
     # drawSliceRasterPrivew(tiff_data, dotalist, clusterDict)
-    ncols=int(len(clusterDict)/9+1)
-    # drawSlictplot(clusterDict, dotalist, tiff_data, 9, ncols)
+    nrows=int(len(clusterDict)/1+1)
+    # drawSlictplot(clusterDict, dotalist, tiff_data, nrows, 1)
     tiff_name=os.path.basename(inbinfile)
     tiff_basename=os.path.splitext(tiff_name)[0]
     slictDataAndOutlabel(clusterDict, dotalist, tiff_data, tiff_basename, outfolderpath, tiff_trans, tiff_proj)
diff --git a/LabelPortShipRasterSlice/drawDotafileAndPng.py b/LabelPortShipRasterSlice/drawDotafileAndPng.py
new file mode 100644
index 0000000..c5763e8
--- /dev/null
+++ b/LabelPortShipRasterSlice/drawDotafileAndPng.py
@@ -0,0 +1,60 @@
+import os
+import argparse
+from osgeo import ogr,gdal
+from matplotlib import pyplot as plt
+from osgeo import gdal
+import matplotlib
+import matplotlib.patches as patches
+from osgeo import gdal
+from PIL import Image
+from scipy.spatial import cKDTree
+import numpy as np
+from tools.DotaOperator import DotaObj,createDota,readDotaFile,writerDotaFile
+import argparse
+import math
+from math import ceil, floor
+
+pngpath=r"D:\港口\切片结果\Geo_bc2-sm-org-vv-20231016t135315-008424-0020e8-01_3.png"
+txtpath=r"D:\港口\切片结果\Geo_bc2-sm-org-vv-20231016t135315-008424-0020e8-01_3.txt"
+
+
+
+pngdata=np.array(Image.open(pngpath))
+dotalist=readDotaFile(txtpath)
+
+plt.figure()
+plt.imshow(pngdata)
+# 绘制每个目标的矩形框并标注坐标
+for i in range(len(dotalist)):
+    # 提取x和y坐标
+    x_coords = [dotalist[i].x1, dotalist[i].x2, dotalist[i].x3, dotalist[i].x4]
+    y_coords = [dotalist[i].y1, dotalist[i].y2, dotalist[i].y3, dotalist[i].y4]
+
+    # 计算最小外接矩形（AABB）
+    x_min, x_max = min(x_coords), max(x_coords)
+    y_min, y_max = min(y_coords), max(y_coords)
+    width = x_max - x_min
+    height = y_max - y_min
+
+    # 绘制无填充矩形框（仅红色边框）
+    rect = patches.Rectangle(
+        (x_min, y_min), width, height,
+        linewidth=2, edgecolor='red', facecolor='none'  # 关键：facecolor='none'
+    )
+    plt.gca().add_patch(rect)
+
+    # ax.annotate(f'({x},{y})', xy=(x, y), xytext=(5, 5),
+    #                textcoords='offset points', fontsize=10,
+    #                bbox=dict(boxstyle='round,pad=0.5', fc='white', alpha=0.8))
+
+    # 在矩形中心标注目标编号
+    center_x = sum(x_coords) / 4
+    center_y = sum(y_coords) / 4
+    plt.text(center_x, center_y, str(i),
+            ha='center', va='center', fontsize=6, color='red')
+
+
+plt.show()
+
+
+