Abstract: Disclosed are various approaches for workflow service application searching. In some aspects, a search query is entered through a search element of a workflow application on a client device. A request is transmitted from a workflow application to a workflow service, to search within an application based on the search query. Application content corresponding to the search query and the application is received from the workflow service. A search result is provided based on the application content and without opening the application on the client device.

Abstract: A data enhancement expansion method, recognition method and system for deep learning, the data enhancement expansion method includes the following steps: collecting original video data of a target to be recognized, and extracting original images of several recognized targets from the original video data; extracting seed images of RoI outlines of the recognized targets from the original images; performing an image enhancement operation on the seed images of the RoI outlines of the recognized targets, and randomly extracting the seed images subjected the image enhancement operation for image aliasing enhancement to obtain several composite images; and generating a data set based on the original images of the several recognized targets and the several composite images. Original data materials are easy to obtain with extremely low cost and high authenticity, and can be really put to a deep learning network to achieve good recognition results.

Abstract: A scene change method and system combining instance segmentation and cycle generative adversarial networks are provided. The method includes: processing a video of a target scene and then inputting the video into an instance segmentation network to obtain segmented scene components, that is, obtain mask cut images of the target scene; and processing targets in the mask cut images of the target scene by using cycle generative adversarial networks according to the requirements of temporal attributes to generate data in a style-migrated state, and generating style-migrated targets with unfixed spatial attributes into a style-migrated static scene according to a specific spatial trajectory to achieve a scene change effect.

Abstract: A scene change method and system combining instance segmentation and cycle generative adversarial networks are provided. The method includes: processing a video of a target scene and then inputting the video into an instance segmentation network to obtain segmented scene components, that is, obtain mask cut images of the target scene; and processing targets in the mask cut images of the target scene by using cycle generative adversarial networks according to the requirements of temporal attributes to generate data in a style-migrated state, and generating style-migrated targets with unfixed spatial attributes into a style-migrated static scene according to a specific spatial trajectory to achieve a scene change effect.

Abstract: The present disclosure discloses a material assignment method and system and a computer equipment readable storage medium. The material assignment method includes: acquiring a product structure and a target process list associated with the product structure, the product structure including identifications of materials required for manufacturing a product, and the target process list including operating steps of processes required in manufacturing the product; generating a material assignment process list of the product by automatically obtaining materials required to be assigned to respective operating steps in the processes of manufacturing the product based on a preset rule and according to the product structure and the target process list associated with the product structure; and generating a standard operating procedure of the product according to the material assignment process list of the product.

Abstract: A data enhancement expansion method, recognition method and system for deep learning, the data enhancement expansion method includes the following steps: collecting original video data of a target to be recognized, and extracting original images of several recognized targets from the original video data; extracting seed images of RoI outlines of the recognized targets from the original images; performing an image enhancement operation on the seed images of the RoI outlines of the recognized targets, and randomly extracting the seed images subjected the image enhancement operation for image aliasing enhancement to obtain several composite images; and generating a data set based on the original images of the several recognized targets and the several composite images. Original data materials are easy to obtain with extremely low cost and high authenticity, and can be really put to a deep learning network to achieve good recognition results.

Abstract: A printing plate, its preparation method, and a printing method. The printing plate comprises a substrate, an ink repulsive layer attaching to the surface of the substrate and a graphic-text layer attaching to partial surface of the ink repulsive layer, the ink repulsive layer comprises fluoropolymer and silicon-containing nano-particle dispersed in the fluoropolymer, the fluoropolymer comprises fluorine-containing structural unit and optional acrylate-based structural unit. The present invention constitutes a graphic-text area which is affinity to water-based printing ink and an area without graphic-text which is repulsion to water-based printing ink on the surface of the planographic printing plate.

Abstract: A planographic printing system and method. The planographic printing system comprises an ink supply device, a planographic printing plate and a printing stock, the planographic printing plate gains ink from the ink supply device, so as to transfer graphic-text information from the planographic printing plate to surface of the printing stock, the planographic printing plate comprises a substrate, an ink repulsive layer attaching to the surface of the substrate and a graphic-text layer attaching to partial surface of the ink repulsive layer, the ink repulsive layer comprises fluoropolymer and silicon-containing nano-particle dispersed in the fluoropolymer, the fluoropolymer comprises fluorine-containing structural unit and optional acrylate-based structural unit.