Rock image retrieval method and system

The invention discloses a rock image retrieval method which comprises: acquiring image data in real time, and inputting the image data into a trained deep learning network model to obtain a retrievalresult graph. The training process of the deep learning network model comprises: constructing a rock image data set by utilizing collected image data; inputting the data set into a network, and enabling the network to actively convert feature mapping in space after the data set is processed by a space transfer module; and inputting the processed data into a multi-granularity network, calculating atotal loss function and an mAP value of the model, and after multiple calculations, when the loss function tends to be stable and the mAP value reaches a peak value, completing training of the deep learning network model. The situation that only representation is used for classifying the rock images is avoided, meanwhile, the fine-grained characteristics of the rock images are extracted more accurately, and the retrieval