haohaou-star/Lightweight-Water-Water-Gauge-Detection: Experimental source code
Abstract
Unzip ultralytics.zip, and configure the dataset path in data.yaml so that the ultralytics folder is in the same directory as data.yaml, detect.py, train.py, and the pre-trained model yolo11n.pt. After setting the v11yaml path in train.py, you can start training. The key frames of the video test have been extracted and included as examples in demo_frames.zip. You can test them after extracting the files. You are able to operate the water gauge system using water_level_system.py (including both Chinese and English versions).
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 August 2026