更新了4000张新图像的point.rknn

ailai_pc/point_error_test.py

@@ -4,7 +4,8 @@ import os
 from ultralytics import YOLO
 
 # ====================== 用户配置 ======================
-MODEL_PATH = '/home/hx/yolo/ultralytics_yolo11-main/runs/train/exp_ailai2/weights/best.pt'
+#MODEL_PATH = '/home/hx/yolo/ultralytics_yolo11-main/runs/train/exp_ailai2/weights/best.pt'
+MODEL_PATH = 'pointn.pt'
 IMAGE_SOURCE_DIR = '/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/point2/train'   # 验证集图片目录
 LABEL_DIR = '/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/point2/train'          # 标签目录（与图片同名 .txt）
 OUTPUT_DIR = './output_images'

ailai_pc/trans_cvattoobb.py

@@ -85,7 +85,7 @@ def robndbox_to_yolo_obb(xml_path, output_dir, class_names):
 def main():
     # ==================== 配置区 ====================
     # ✅ 修改以下路径和类别
-    XML_DIR = "/home/hx/桌面/ailai_test/train"  # 包含 .xml 文件的目录
+    XML_DIR = "/home/hx/开发/ailai_image_obb/ailai_pc/annotations.xml"  # 包含 .xml 文件的目录
     OUTPUT_DIR = "yolo_obb_dataset"             # 输出目录
     CLASS_NAMES = ["ban", "bag"]                # 你的类别列表，顺序即 class_id
     # ==============================================