Power transmission and distribution scene point cloud semantic segmentation model training method based on attention mechanism

The invention relates to a power transmission and distribution scene point cloud semantic segmentation model training method based on an attention mechanism. The method comprises the following steps: acquiring electric scene point cloud training data corresponding to a power transmission and distribution scene point cloud; obtaining a power transmission and distribution scene point cloud neighbor graph according to the electric scene point cloud training data; inputting the power transmission and distribution scene point cloud neighbor graph into a feature extraction module in a to-be-trained point cloud semantic segmentation model to obtain at least two point cloud scale feature graphs; based on a feature fusion module, fusing each point cloud scale feature map with at least one adjacent point cloud scale feature map to obtain each fused feature map; inputting each fusion feature map into a classification module to obtain at least two types of classification information; and training the to-be-trained point