Abstract: Street is an important public space in a city, which carries many urban functions such as transportation, life, commerce and so on. Taking the restaurant industry as an example of the commercial functions carried by urban streets, based on the streetscape perspective, the relationship between the landscape of the street space and the vitality of the restaurant industry were explores in this paper. Firstly, the street space is constructed based on HDBSCAN clustering algorithm. Secondly, 12 kinds of landscape objects, such as buildings, sky and trees, are extracted from street view images by using image semantic segmentation model, and six street landscape indicators, such as sky proportion, green visibility rate, enclosure degree, fence proportion, road proportion and confusion degree, are constructed. Then, the vitality of the catering industry is measured by using the kernel density algorithm. Next, the relationship between street landscape of street space and the vitality of catering industry is analyzed by using partial correlation analysis. Finally, taking Tianhe District of Guangzhou as the research area, the experiment is verified, and the results show that there is a significant correlation between the street landscape and the vitality of the catering industry from the perspective of street view, and there is a negative correlation between the confusion degree, green visibility rate, fence proportion, the sky proportion and the vitality of the catering industry, while there is a positive correlation between the enclosure degree and the vitality of the catering industry.