fix

.gitignore

@@ -1,3 +1,2 @@
-result/
 .idea/
 .vscode/

config.ini

@@ -38,11 +38,11 @@ cloud_need_points_size = 600000
 save_cload = true
 
 [sys]
-fake = false
+fake = true
 camera_cap_fake = true
 lidar_cap_fake = true
 npu_fake = true
-conners_detect_fake = false
-fake_image_fpath = ./result/test_1/ep_100000_count_600000/output.jpg
-fake_lidar_fpath = ./result/test_1/ep_100000_count_600000/output.ply
+conners_detect_fake = true
+fake_image_fpath = ./result/hy_1/output.jpg
+fake_lidar_fpath = ./result/hy_1/output.ply
 

detect.py

@@ -182,6 +182,7 @@ def init_image_framework_sdk():
         # 加载C++库
         current_file_dir = os.path.dirname(os.path.abspath(__file__))
         image_framework_sdk = CDLL(os.path.join(current_file_dir, f'./image_framework.dll'))
+        print(f"[image_framework_sdk] ====== [{image_framework_sdk}]")
         print("Load Image framework sdk success")
     except Exception as e:
         print(f"Load Image framework sdk failed: {str(e)}")
@@ -236,7 +237,7 @@ if __name__ == '__main__':
         raise RuntimeError(f"设置回调函数始设置失败, 错误码: {ret}")
 
 
-    dataPath = "./result/hy_1" # 数据路径
+    dataPath = "./result" # 数据路径
     data_img_path = None # 检测的图片路径
     data_detect_res_save_path = None # 检测结果的保存路径
     # 遍历目录

excel_point_to_bm_json_.py

@@ -48,8 +48,14 @@ for index, row in df.iloc[2:30].iterrows():
     center_y = row[col('L')]
     width = row[col('D')]
     height = row[col('E')]
+    # 左上角
     x = center_x - width / 2
-    y = center_y - height / 2
+    # 左上角
+    y = center_y + height / 2
+    # 左下角
+    x_left_bottom = center_x - width / 2
+    # 左下角
+    y_left_bottom = center_y - height / 2
 
 
     # [{
@@ -76,14 +82,8 @@ for index, row in df.iloc[2:30].iterrows():
     # 画出中心点
     ax.scatter(center_x, center_y, color='red', marker='o', s=10)
 
-    # 更新边界
-    x_min = min(x_min, x)
-    x_max = max(x_max, x + row[col('D')])
-    y_min = min(y_min, y)
-    y_max = max(y_max, y + row[col('E')])
-
     # 绘制矩形
-    rect = Rectangle((x, y), row[col('D')], row[col('E')], linewidth=1, edgecolor='r', facecolor='none')
+    rect = Rectangle((x_left_bottom, y_left_bottom),width, height, linewidth=1, edgecolor='r', facecolor='none')
     ax.add_patch(rect)
 
     # 在矩形中心绘制编号（A列）
@@ -95,14 +95,14 @@ for index, row in df.iloc[2:30].iterrows():
 
     # 在矩形上边绘制宽度（D列）
     ax.text(
-        x + row[col('D')] / 2, y + row[col('E')], str(row[col('D')]),
+        x + row[col('D')] / 2, y_left_bottom + row[col('E')], str(row[col('D')]),
         ha='center', va='bottom',
         fontsize=6, color='green'  # 宽度字体大小为10，颜色为绿色
     )
 
     # 在矩形右边绘制高度（E列）
     ax.text(
-        x + row[col('D')], y + row[col('E')] / 2, str(row[col('E')]),
+        x + width, y_left_bottom + height / 2, height,
         ha='left', va='center',
         fontsize=6, color='red'  # 高度字体大小为10，颜色为红色
     )

result/hy_1/roi_conners.txt

@@ -0,0 +1,64 @@
+6911
+3175
+7935
+3175
+7935
+4142
+6911
+4142
+5578
+3808
+6623
+3808
+6623
+4761
+5578
+4761
+2677
+5089
+5214
+5089
+5214
+6179
+2677
+6179
+2613
+2198
+4142
+2198
+4142
+3607
+2613
+3607
+73
+1746
+1314
+1746
+1314
+2799
+73
+2799
+52
+3066
+1092
+3066
+1092
+3997
+52
+3997
+4815
+1805
+5951
+1805
+5951
+2849
+4815
+2849
+6774
+1829
+7896
+1829
+7896
+2869
+6774
+2869

roi_conners.txt

@@ -1,24 +1,64 @@
-1131
-2007
-5900
-2007
-5900
-5376
-1131
-5376
-2004
-2958
-3142
-2958
-3142
-3948
-2004
-3948
-3887
-2919
-4839
-2919
-4839
-3902
-3887
-3902
+6911
+3175
+7935
+3175
+7935
+4142
+6911
+4142
+5578
+3808
+6623
+3808
+6623
+4761
+5578
+4761
+2677
+5089
+5214
+5089
+5214
+6179
+2677
+6179
+2613
+2198
+4142
+2198
+4142
+3607
+2613
+3607
+73
+1746
+1314
+1746
+1314
+2799
+73
+2799
+52
+3066
+1092
+3066
+1092
+3997
+52
+3997
+4815
+1805
+5951
+1805
+5951
+2849
+4815
+2849
+6774
+1829
+7896
+1829
+7896
+2869
+6774
+2869