Dining personnel monitoring method and device based on attention mask, and electronic equipment

The invention discloses a diner monitoring method and a device based on attention masks and electronic equipment. The method comprises the following steps: acquiring a plurality of restaurant images;inputting the plurality of restaurant images into a first part of a convolutional neural network to obtain a partial depth feature map; inputting a part of the depth feature map into a second part ofthe convolutional neural network to obtain a global depth feature map; generating an attention mask map based on the partial depth feature map and the global depth feature map according to the position distance; performing point multiplication on the attention mask map and the global depth feature map to obtain a final feature map; and performing image semantic segmentation based on the final feature map to obtain an image semantic segmentation result, wherein the image semantic segmentation result represents a monitoring result of the restaurant. Therefore, based on the semantic segmentationresult of the restaurant im