Abstract: The present disclosure discloses a path construction method, device, terminal and storage medium, and the method comprises: acquiring vehicle travel state information and an initial image of a surrounding environment of a preset driving path corresponding to the vehicle travel state information in real time when the vehicle is traveling on the preset driving path; calculating a target top view corresponding to the initial image via a nonlinear difference correction algorithm according to the initial image; inputting the target top view into a preset deep learning model, and classifying pixel points of the target top view input into the preset deep learning model to obtain a partitioned image, the partitioned image being an image after partitioning the target top view; scanning the partitioned image to recognize a travelable region of the vehicle; generating a path trajectory corresponding to the vehicle travel state information based on the travelable region.

Abstract: Disclosed in the present application are a concrete protection material, and a preparation method and a construction method therefor. The concrete protection material consists of 50%-90% of a component A and 10%-50% of a component B in percentage by weight, where the component A is prepared from 30%-65% of organic silicon, 2%-5% of nano-silicon dioxide and the balance of an organic solvent in percentage by weight; and the component B is prepared from 20%-50% of an organic base and the balance of water in percentage by weight. The present application not only can form nano-particles having a strengthening effect in capillary channels of a concrete surface layer, but also can achieve a technical effect of superhydrophobicity on the concrete surface layer.

Abstract: Systems and techniques are generally described for determining similar content. First embedding data may be generated for first content based at least in part on a specified similarity task. A first query comprising the first embedding data may be generated and sent to a first database partition. A first search result representing second content may be determined using the first embedding data. A second query comprising the first embedding data may be generated and sent to a second database partition different from the first data base partition. A second search result representing third content may be determined using the first embedding data. In some examples, output data comprising at least one of the first search result and the second search result may be generated. The output data may represent content classified as similar to the first content.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated detection and extraction of nutrition information for food products. Example methods may include identifying at least a first image comprising nutritional data, generating a second image including a first portion of the first image, and generating a third image including a second portion of the first image. Some embodiments may include generating a fourth image using the second image, generating a fifth image using the third image, determining, using at least one of the second image and the fourth image, the first text, determining, using at least one of the third image and the fifth image, the second text, and causing at least a portion of the first text and a portion of the second text to be stored in association with a product identifier.