.gitignore

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

config.ini

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

detect.py

@@ -182,7 +182,6 @@ 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)}")
@@ -237,7 +236,7 @@ if __name__ == '__main__':
         raise RuntimeError(f"设置回调函数始设置失败, 错误码: {ret}")
 
 
-    dataPath = "./result" # 数据路径
+    dataPath = "./result/hy_1" # 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

@@ -48,14 +48,8 @@ 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
-    # 左上角
+    y = center_y - height / 2
-    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
 
 
     # [{
@@ -82,8 +76,14 @@ 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_left_bottom, y_left_bottom),width, height, linewidth=1, edgecolor='r', facecolor='none')
+    rect = Rectangle((x, y), row[col('D')], row[col('E')], 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_left_bottom + row[col('E')], str(row[col('D')]),
+        x + row[col('D')] / 2, y + 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 + width, y_left_bottom + height / 2, height,
+        x + row[col('D')], y + row[col('E')] / 2, str(row[col('E')]),
         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

@@ -1,64 +0,0 @@
-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

@@ -1,64 +1,24 @@
-6911
+1131
-3175
+2007
-7935
+5900
-3175
+2007
-7935
+5900
-4142
+5376
-6911
+1131
-4142
+5376
-5578
+2004
-3808
+2958
-6623
+3142
-3808
+2958
-6623
+3142
-4761
+3948
-5578
+2004
-4761
+3948
-2677
+3887
-5089
+2919
-5214
+4839
-5089
+2919
-5214
+4839
-6179
+3902
-2677
+3887
-6179
+3902
-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