Abstract: A front-end device is configured to capture a light point image of an authenticatee and send the light point image to the back-end device, where the light point image is an image captured from the authenticatee under irradiation of multi-light points, and the light point image includes a face of the authenticatee. The back-end device of the authentication system is configured to perform face anti-spoofing detection on the authenticatee based on the received light point image to obtain an authentication result.

Abstract: This disclosure relates to a clothing standardization detection method. In an example method, a clothing standardization detection apparatus obtains a video frame sub-image and a reference sub-image. The video frame sub-image includes an image of a first wear style of a target part of the target object in the first scenario, and the reference includes an image of a standard wear style of a target part of the reference object in the first scenario. Then, the video frame sub-image and the reference sub-image are processed by using a target model, to obtain a first processing result. The target model is a trained artificial intelligence AI model, and the first processing result indicates a similarity between the first wear style of the target part of the target object and the standard wear style of the target part of the reference object.

Abstract: A client device obtains a rendering instruction delivered by a user. The client device sends a first message to a cloud rendering node, where the first message includes a rendering task and an indication of the cloud rendering node that is to execute the rendering task by using a cloud rendering application and at least one postprocessing program. The postprocessing program is configured to perform an image processing capability that the cloud rendering application is not capable of performing. The client device obtains a second message sent by the cloud rendering node. The second message includes a rendered image obtained by the cloud rendering node by executing the rendering task. The client device displays the rendered image in response to receiving the second message.

Abstract: A load-bearing support plate, chain structure, and a conveyor belt structure incorporating them are provided. The load-bearing support plate includes a first panel, a second panel, and a transition panel for connecting the first panel with the second panel; the first panel is offset in a first direction relative to the second panel, and at least one reinforcing rib is provided on the first panel, the reinforcing rib extending upwards from the bottom of the first panel to the upper edge of the first panel and forming a bearing surface with the top surface of the first panel. By forming the first panel into a curved shape with the use of reinforcing ribs, the overall support capability is enhanced.

Abstract: This application discloses a method for accessing a virtual-world application and a related product. The method may be applied to an application access apparatus. The application access apparatus logs in to a virtual-world application account of a user based on authentication information of the user, runs a first sub-application in the virtual-world application according to a first operation instruction of the user, and sends a media stream of the first sub-application to a client corresponding to the user. Then, the application access apparatus switches from the first sub-application to a second sub-application in the virtual-world application through an application switching interface of the first sub-application according to a second operation instruction of the user, runs the second sub-application, and sends a media stream of the second sub-application to the client corresponding to the user. According to the foregoing method, user experience can be improved.

Abstract: A model training system includes a cloud data storage platform and a cloud model training platform. The cloud data storage platform is configured to: store training data; and receive a training data calling request, and export training data corresponding to a data calling instruction to the cloud model training platform based on the training data calling request. The cloud model training platform is configured to: receive a model training creation instruction to obtain a to-be-trained model; generate the training data calling request, and send the training data calling request to the cloud data storage platform; and train the to-be-trained model by using the training data exported from the cloud data storage platform, to obtain a training result model. In the technical solutions of the present invention, a risk of leaking training data can be reduced.

Abstract: Embodiments of this application disclose a cloud resource management method and a related apparatus, to improve resource utilization of a cloud server. The method in embodiments of this application includes: obtaining available resource status information of a cloud server cluster, where the available resource status information includes one or more of the following: available cloud resource capacities and available cloud resource flavors of the cloud server cluster in different future periods; generating cloud service price information based on the available resource status information, where the cloud service price information includes price information of cloud resources of a plurality of flavors; and sending the cloud service price information to user equipment.

Abstract: A model training system includes a cloud data storage platform and a cloud model training platform. The cloud data storage platform is configured to: store training data; and receive a training data calling request, and export training data corresponding to a data calling instruction to the cloud model training platform based on the training data calling request. The cloud model training platform is configured to: receive a model training creation instruction to obtain a to-be-trained model; generate the training data calling request, and send the training data calling request to the cloud data storage platform; and train the to-be-trained model by using the training data exported from the cloud data storage platform, to obtain a training result model. In the technical solutions of the present invention, a risk of leaking training data can be reduced.

Abstract: A cloud management platform is configured to: receive a graphic asset uploaded by at least one of a plurality of asset providers; receive payment success information of at least one of a plurality of asset users for the graphic asset, and record that the at least one asset user has permission to use the graphic asset; receive a rendering request that is for the graphic asset and that is sent by the at least one asset user, and request the graphic asset from the cloud management platform in response to the rendering request; when determining that the at least one asset user has the permission to use the graphic asset, send the graphic asset to the rendering unit; render the first graphic asset to generate a rendering result, and send the rendering result to the at least one asset user.

Abstract: Provided are a biological assembly method for Faraday wave multi-wavelength synthesis and an application. The present method has advantages that the system is easy to build, manipulation is simple, patterns are dynamically adjustable, biocompatibility is good, etc. The present method is different from a cell manipulation principle under a single wavelength condition in an existing acoustic biological assembly method; sine or cosine signals having different wavelengths are synthesized, so that a single-wavelength assembly mode in a conventional Faraday wave frequency domain is improved into a multi-wavelength assembly mode, complex and arbitrary pattern arrangement of liquid-bottom multi-scale cells is achieved, and thus the method is more suitable for the requirement for complex arrangement of cells in tissue engineering and biological manufacturing, and has huge application prospects and commercial value.

Abstract: This application provides a load-bearing support plate, chain structure, and a conveyor belt structure incorporating them, the load-bearing support plate comprises a first panel, a second panel, and a transition panel for connecting the first panel with the second panel; the first panel is offset in a first direction relative to the second panel, at least one reinforcing rib provided on the first panel, the reinforcing rib extending upwards from the bottom of the first panel to the upper edge of the first panel and forming a bearing surface with the top surface of the first panel. By forming the first panel into a curved shape with the use of reinforcing ribs, the overall support capability is enhanced. Also, by extending the reinforcing ribs to the upper edge of the first panel, the upper edge of the support plate below becomes curved, offering a larger contact area in the thickness direction, thereby improving the stability of the spiral stacking motion.

Abstract: A cloud technology-based graphics program online development method and system, and a related device are provided. The method includes the following steps: A cloud management platform receives a graphics program online development request input by a tenant, selects or creates a cloud instance for image rendering in a cloud instance resource pool, and sets a connection between the cloud instance and a client of the tenant (S410); the cloud instance receives graphics program code sent by the client, and compiles the graphics program code to generate a graphics program, where the graphics program code is input by the tenant to the client (S420); and the cloud instance runs the graphics program to render a graphic, and sends the graphic to the client for display (S430). In this way, a cloud technology-based graphics program online development requirement of the tenant is met, and user experience is improved.

Abstract: A method includes: obtaining a first request from a first device, where the first request indicates to render a first scene of an application; determining, from a plurality of rendering hosts, a first rendering host used to render the first scene, where the determined first rendering host is configured to provide a rendering result of the first scene to the first device; obtaining a scene switching notification of the application, where the scene switching notification indicates to render a second scene of the application; and determining, from the plurality of rendering hosts, a second rendering host used to render the second scene, where the determined second rendering host is configured to provide a rendering result of the second scene to the first device.

Abstract: Disclosed are a positive electrode material, a preparation method therefor, and an application thereof. The method includes: (1) performing a co-precipitation reaction by mixing a soluble manganese salt and a soluble metal M salt with carbonate, to obtain a co-precipitate containing MxMn1-xCO3; and (2) sintering the co-precipitate containing MxMn1-xCO3 in an air atmosphere to obtain the positive electrode material containing MxMn1-xP2, where M is at least one selected from Al, Zr, Ti, Ni, Co, Mg, Ta, Ca, Fe, Na, K, Cu, Zn, Nb, Sn, Sb, La and In, and where x is in a range from 0 to 1 excluding endpoints 0 and 1.

Abstract: A front-end device is configured to capture a light point image of an authenticatee and send the light point image to the back-end device, where the light point image is an image captured from the authenticatee under irradiation of multi-light points, and the light point image includes a face of the authenticatee. The back-end device of the authentication system is configured to perform face anti-spoofing detection on the authenticatee based on the received light point image to obtain an authentication result.