Improved YOLOv8n-based garbage identification method for trash rack of hydraulic power plant
The invention discloses a hydraulic power plant trash rack garbage identification method based on improved YOLOv8n, and the method comprises the following steps: carrying out the real-time monitoring and collection of a river channel, obtaining video image data, and carrying out the preprocessing of...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | The invention discloses a hydraulic power plant trash rack garbage identification method based on improved YOLOv8n, and the method comprises the following steps: carrying out the real-time monitoring and collection of a river channel, obtaining video image data, and carrying out the preprocessing of the video image data collected in different time periods and different river surface states, dividing the preprocessed video picture data into data sets of a training set, a test set and a verification set according to a certain proportion; importing the data set into a YOLOv8n network model for training to obtain a trained M model, and adding an attention mechanism to improve the accuracy of model detection to obtain an algorithm model M '; detecting and analyzing floating objects and trash rack information through an M'algorithm; and setting early warning values for the size and the number of anchor frames of the floating objects and the distance from the floating objects to the trash rack by taking a fixed targ |
---|