# hertz_log_operation_log

action_type: view
module: 系统监测
description: 获取磁盘信息
ip_address: 192.168.124.37
request_data: {}
created_at: 2025-11-20 08:30:57.334960
user_agent:
  Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36


# hertz_yolo_detection_record

detection_type: image
model_name: 道路检测模型 yolov11
detected_categories: ["Open-Manholes"]
created_at: 2025-11-24 07:06:08.441905
confidence_scores: [0.9596056938171387]
user_name: hertz
original_file:
  detection/original/54473061-ed97-40b0-8189-a9c32f99caeb_8_jpg.rf.6f0f0f1ba1bff4b5d1a7fe657ee7f5b3.jpg

result_file:
  detection\result\result_e5d6ecba-55a1-4878-9b07-e674842323d7_8_jpg.rf.6f0f0f1ba1bff4b5d1a7fe657ee7f5b3.jpg


detection_type: image
model_name: 道路检测模型 yolov11
detected_categories: ["Open-Manholes"]
created_at: 2025-11-24 07:14:03.937144
confidence_scores: [0.9596056938171387]
user_name: hertz
original_file:
  detection/original/cdb917f6-6ee2-4d84-896f-19187a5cf820_8_jpg.rf.6f0f0f1ba1bff4b5d1a7fe657ee7f5b3.jpg

result_file:
  detection\result\result_6ec1fea1-50d4-4c91-a4bb-fa8621cb1d02_8_jpg.rf.6f0f0f1ba1bff4b5d1a7fe657ee7f5b3.jpg


# hertz_yolo_train_train_job

model_family: v8
model_size: n
config_path: hertz_studio_django_utils\yolo\Train\ultralytics\cfg\models\v8\yolov8.yaml
status: failed
logs_path: yolo_train_logs\job_15.log
device: 1
optimizer: SGD
created_at: 2025-11-20 10:17:22.337958
started_at: 2025-11-20 18:17:22.344750
finished_at: 2025-11-20 18:17:23.607850
error_message:
  Invalid CUDA 'device=1' requested. Use 'device=cpu' or pass valid CUDA device(s) if available, i.e. 'device=0' or 'device=0,1,2,3' for Multi-GPU.

  torch.cuda.is_available(): False
  torch.cuda.device_count(): 0
  os.environ['CUDA_VISIBLE_DEVICES']: None
  See https://pytorch.org/get-started/locally/ for up-to-date torch install instructions if no CUDA devices are seen by torch.


model_family: v8
model_size: n
config_path: hertz_studio_django_utils\yolo\Train\ultralytics\cfg\models\v8\yolov8.yaml
status: failed
logs_path: yolo_train_logs\job_16.log
device: 0
optimizer: SGD
created_at: 2025-11-20 10:20:09.366420
started_at: 2025-11-20 18:20:09.373650
finished_at: 2025-11-20 18:20:09.943704
error_message:
  Invalid CUDA 'device=0' requested. Use 'device=cpu' or pass valid CUDA device(s) if available, i.e. 'device=0' or 'device=0,1,2,3' for Multi-GPU.

  torch.cuda.is_available(): False
  torch.cuda.device_count(): 0
  os.environ['CUDA_VISIBLE_DEVICES']: 1
  See https://pytorch.org/get-started/locally/ for up-to-date torch install instructions if no CUDA devices are seen by torch.


model_family: v8
model_size: n
config_path: hertz_studio_django_utils\yolo\Train\ultralytics\cfg\models\v8\yolov8.yaml
status: failed
logs_path: yolo_train_logs\job_17.log
device: 0
optimizer: SGD
created_at: 2025-11-20 10:20:47.506639
started_at: 2025-11-20 18:20:47.511765
finished_at: 2025-11-20 18:20:48.038921
error_message:
  Invalid CUDA 'device=0' requested. Use 'device=cpu' or pass valid CUDA device(s) if available, i.e. 'device=0' or 'device=0,1,2,3' for Multi-GPU.

  torch.cuda.is_available(): False
  torch.cuda.device_count(): 0
  os.environ['CUDA_VISIBLE_DEVICES']: 0
  See https://pytorch.org/get-started/locally/ for up-to-date torch install instructions if no CUDA devices are seen by torch.


# hertz_segmentation_record

model_name: 脊椎分割模型_132531 1.0
classes: []
confidence_scores: []
created_at: 2025-11-14 03:14:26.585163
result_file: segmentation/detection_img/result/594264ba-dd8b-40e8-9851-2b90aff3f6a0_result.png
original_file:
  segmentation/detection_img/original/bdc772a4-e52a-463e-9c96-3288831c7776_10_bmp.rf.8d35821281b0fdf62af63cfb6429a55c.jpg


model_name: 脊椎分割模型_132531 1.0
classes: ["class_1"]
confidence_scores: []
created_at: 2025-11-14 03:15:59.987991
result_file: segmentation/detection_img/result/37769e50-27bf-406f-bda5-b57daea9beeb_result.png
original_file:
  segmentation/detection_img/original/04f8c946-7369-4957-8eb5-b7cbe701ae3a_01-July-2019-1_jpg.rf.244038a645a6be13d743b19d4adf131e.jpg


