13results about How to "Meet the generation needs" patented technology

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses an automatic video generation method, which is characterized in that a video generation material and a content text corresponding to a video theme are obtained by determining the video theme, and the video generation material can be a video or a picture. The content text is converted into voice data through the text-to-voice model, voice materials are generated, and the voice materials are used for generating video clips. And generating a synchronous subtitle of each voice material, embedding the subtitles into the video clips, and synchronously displaying the subtitles and the voice materials. And generating independent video clips according to the video generation material, the voice material and the synchronous subtitles, and generating a complete video by combining the independent video clips. According to the method and the device, a mode of automatically processing a plurality of materials and content texts is adopted, so that the requirement of manual intervention is greatly reduced, the video generation efficiency is optimized, and common time consumption and labor cost in a manual video production process are avoided.

The embodiment of the invention discloses an instrument image generation method and device, electronic equipment and a storage medium, and relates to the field of computer vision and artificial intelligence, and the method comprises the steps: obtaining a real image of an instrument, recognizing font information, analyzing text display characteristics of different modes, constructing a corpus according to the font information and the text display characteristics, and generating a corpus; using a text detection algorithm to generate a background image according to the real image, designing character parameters according to a corpus, determining a text size according to the character parameters, determining a corpus and drawing parameters according to the text size and the corpus, and drawing all characters in the corpus on the background image according to the drawing parameters to obtain a text image; and performing image enhancement of different types and degrees on the text image by using a multi-modal large model to generate a plurality of instrument images. According to the invention, the image types are enriched through image enhancement, the image quality is improved, and the problems of poor diversity, uncontrollable effect and large difference with a real scene in the prior art are solved.

The invention provides a model training method, a lyric generation method and electronic equipment, and relates to the technical field of data generation. The model training method comprises the following steps: training an initial model of a target language according to training data to obtain a training model; wherein the training data comprises test demand information and corresponding test result information; adjusting the training model based on a preset adjustment condition to obtain a target model; wherein the adjustment condition comprises a rhythm condition and a format condition. The lyric generation method comprises the steps of performing feature extraction processing on input information of a user to obtain target demand information; and inputting the target demand information into the target model for processing to obtain target result information. The method has the technical effects that the initial model is trained, adjusted and optimized to obtain the target model, and the target demand information obtained through feature extraction is substituted into the target model for processing, so that the effectiveness of the target result information is effectively improved, and various data generation demands of a user are met.

The invention relates to the technical field of data processing, in particular to a customized dynamic presentation method, device and system suitable for multi-source situation data information, and the method comprises the steps: firstly, accessing a data connection module, carrying out the compilation of multi-source data according to a presentation demand, carrying out the processing of a compilation index of each data, and carrying out the processing of the compilation index; a display controller for unified processing of a user is formed; then, a user selects data elements needing to be dynamically presented from the presentation controller according to scene requirements, the attribute information of all the data elements is screened and filtered according to the requirements, scene triggering conditions are set, and finally a dynamic topic is formed; after the system meets the triggering condition, different scenes are dynamically displayed, so that a user can more intuitively know data distribution and related information; finally, situation image-text reports are dynamically generated according to needs for different scenes, situation achievements are pushed to related subscribers, and the requirements for various access data sources and data formats, unified display control over various kinds of data and related analysis report generation can be met.

The invention discloses an intelligent report generation system and method based on knowledge graph enhancement, and belongs to the technical field of natural language processing and knowledge graph fusion. In order to solve the problems of insufficient accuracy, low efficiency and opaque reasoning process in the existing structured report generation only depending on large model intrinsic knowledge, the method comprises the following steps of: constructing a knowledge graph containing entities, attributes and relationships, and converting a user natural language problem into a structured query statement by utilizing a first large model; after an entity relationship result is obtained in the knowledge graph, a report with a clear basis is generated by the second large model; and adaptation can also be realized through query languages. By means of structured knowledge and efficient query of the knowledge graph, the accuracy and generation efficiency of the report conclusion are improved, the reasoning process is traceable, meanwhile, the flexibility and universality of the scheme are enhanced, and the method is suitable for structured report generation scenes such as enterprise data analysis and industry research.

The invention discloses a distributed large-scale aircraft flight data simulation generation method and system, and relates to the field of aviation data. According to the method, the demand of generating simulation target data of different orders of magnitude can be quickly met only by expanding or reducing the number of deployed distributed simulation task nodes; moreover, the generation of flight trajectory data of civil aviation, navigation and unmanned aerial vehicles can be supported by expanding an atomic action library and constructing a flight action sequence, even the generation of motion trajectory simulation data of a ground target, a water surface target and an underwater target can be supported by a customized atomic action library, a simulation data generation system does not need to be redesigned, and the simulation data generation efficiency is improved. And other modules except the atomic action library do not need to be developed again.

This utility model discloses a gas filtration device, which includes an inlet cabinet and an outlet cabinet. The inlet cabinet is positioned above the outlet cabinet, and a filter screen is installed between the two cabinets. Two dust collection bags are installed on both sides inside the inlet cabinet, and the dust collection bags are surrounded by a partition net. A ventilation cavity is formed between the adjacent partition nets on the outer sides of the two dust collection bags. Through holes are provided on the side panels of the inlet and outlet cabinets, as well as on the doors of both cabinets. A filter box is located below the filter screen, and a filter assembly is installed inside the filter box. An exhaust fan is located below the filter box, and the exhaust port on the filter box is connected to the air inlet of the exhaust fan via a ventilation pipe. The gas filtration device inputs gas through the side panel of the inlet cabinet, filters it through the dust collection bags and the filter box, and outputs it through the side panel of the outlet cabinet. This effectively filters fine particulate matter near the ground, maintaining a high level of cleanliness in the space where machine racks and workbenches are located in the workshop.

The present application relates to an image processing method, device, equipment and medium, and to the field of computer technology. The image processing method includes: obtaining sketch information of an image to be processed; inputting the sketch information into a pre-trained first generator to obtain target mouth area information output by the first generator; determining target composite image information based on the target mouth area information, the sketch information and reference image information corresponding to the image to be processed; inputting the target composite image information into a pre-trained second generator, and determining the image information output by the second generator as the target image information corresponding to the image to be processed, wherein the second generator is a generator jointly trained with the first generator. The present application improves the generation effect of the mouth shape while ensuring the inference speed, thereby improving the overall generation effect of the image.

The invention discloses an intelligent image processing system based on a generative image, relates to the technical field of intelligent image processing, and solves the technical problem that in the prior art, an initial image meeting authenticity cannot be subjected to optimization processing detection. Specifically, a generation module analyzes and screens real-time generation conditions, determines an image main body through a descriptive text provided by a user, and obtains a generated primary image; the editing module edits and modifies the generated primary image and obtains an edited and modified image after completing editing and modification; the authenticity evaluation module performs authenticity evaluation on the edited and modified graph, and obtains a real adjusted graph after completing authenticity regulation and control; and the optimization module performs optimization detection processing on the real adjusted image, acquires image optimization parameters, obtains an optimization detection coefficient, deduces whether the current real adjusted image is optimized or not according to a coefficient comparison result, and obtains an optimized image after the optimization is completed or the optimization is not needed.

The invention relates to an information display method and device, electronic equipment and a storage medium. The method can comprise the steps that a first interface is displayed; the first interface comprises a first image input control; in response to an input operation on a reference image based on the first image input control, displaying a second interface; the second interface comprises a second image input control, and the reference image comprises a first object; in response to an input operation on an additional image based on the second image input control, displaying target prompt information under the condition that the additional image and the reference image meet a preset image association condition, the additional image meeting the preset image association condition is an image which contains the first object and is similar to the reference image; the target prompt information represents that a video generation model corresponding to the first object is successfully generated based on the reference image and the additional image. The video generation diversity and flexibility can be improved.

The application provides a defect image generation method and device, equipment and a storage medium, comprising: obtaining an initial image, a text condition and a defect mask for a target product; wherein the text condition is used to represent the category of the defect to be generated, and the defect mask is used to control the generation position of the defect to be generated in the initial image; the initial image is encoded and added with noise to obtain an initial latent variable at the current time step; the initial latent variable, the text condition and the defect mask are input into a diffusion model to obtain a first noise prediction value and a second noise prediction value; obtaining a first intensity parameter and a second intensity parameter for the defect to be generated; based on the first noise prediction value, the second noise prediction value, the first intensity parameter and the second intensity parameter, a defect image is obtained. The position and intensity of the defect can be controlled, and a diversified industrial defect image dataset is constructed, thereby providing high-quality training samples for subsequent defect detection and identification.

The invention discloses a method, a system, a device and equipment for generating a digital copy, and a medium. The method comprises the following steps: loading a large model base obtained by pre-training; in response to a calling request of a first user, obtaining a first fine tuning model weight parameter corresponding to the calling request of the first user from the multiple groups of fine tuning model weight parameters; fusing the first fine tuning model weight parameter with a base weight parameter carried by the large model base to obtain a first fusion parameter; and generating a first digital duplicate corresponding to the first user call request based on the first fusion large model after parameter fusion. According to the scheme, the fine-tuning models meeting different requirements can be trained according to the same base, and the weight parameters of the fine-tuning models can be separated, so that the weight parameters of the fine-tuning models and the weight parameters of the base are quickly selected and fused according to different calling requests, the fine-tuning models are flexibly loaded to realize digital clones, and the implementation mode is simple and efficient.

The embodiments of this specification provide a method, device and equipment for generating a sequential primary key, including: when a target application is started, sending a registration request to a sequential registration device; wherein the registration request includes registration metadata; the sequential registration device is used to generate an application instance registration number corresponding to the target application according to the registration metadata; receiving the application instance registration number sent by the sequential registration device; obtaining the value of a global counter as a primary key count value; obtaining the time corresponding to the start of the target application as a primary key time identifier; generating a sequential primary key for the target application according to the primary key time identifier, the primary key count value and the application instance registration number. The embodiments of this specification can effectively solve the generation problem of sequential primary keys in ultra-high concurrency scenarios.