84 results about "Image Identifier" patented technology

The invention discloses an inference service deployment method, electronic equipment and a storage medium, and the method comprises the steps: responding to the creation of an inference service, reading a model information configuration table and an engine information configuration table, and carrying out the matching processing of the model information configuration table and the engine information table according to a pre-configured model name during the creation of the inference service, processing resources, inference engine mirror image identifiers and inference engine starting parameters which can be used for loading inference services on the container scheduling platform are obtained, and workload metadata used for bearing the inference services are created based on the processing resources, the inference engine mirror image identifiers and the inference engine starting parameters; the deployment of the inference service on the container scheduling platform is realized by distributing the workload metadata to the target cluster node. Through the method, the technical problem of relatively low deployment efficiency caused by manually configuring the parameters in the workload metadata depending on manpower in related technologies is solved, and the technical effects of simplifying the deployment process of the model reasoning service and improving the deployment efficiency are achieved.

The invention discloses a video coding and decoding method, device and equipment and a storage medium, and relates to the technical field of video coding and decoding, and the method comprises the steps: setting a target sequence identifier in a sequence head of a to-be-coded video frame sequence corresponding to a target video, determining a to-be-zoomed video frame, determining a target resolution of the to-be-zoomed video frame, and carrying out the zooming of the to-be-zoomed video frame; scaling each to-be-scaled video frame based on the target resolution, and adding image header data in an image header of the scaled video frame to obtain a target video frame; coding each target video frame and the original video frame in sequence to obtain a code stream; and sending the code stream to a decoding end, so that the decoding end decodes the code stream. By means of adding the image header data containing the image identifier and the target resolution in the image header, the capability of flexibly embedding frames with different resolutions in the same video sequence is realized, and the limitation of fixed resolution coding is broken.

The invention discloses a visual-text intelligent agent-based generative cross-modal retrieval method and system, and the method comprises the steps: obtaining image features, and constructing an image structured identifier; performing fine tuning on the multi-modal large language model, learning a semantic relationship between the image features and the structured identifiers, and learning a semantic relationship between the structured identifiers and query input of the user; generating a structured identifier based on the retrieval capability of the multi-modal large language model; based on the ability of the multi-modal large language model to understand multi-modal information, the most matched image is screened from the multiple images. According to the method, the two-stage query workflow is automatically constructed according to the query text input by the user, the same image identifier is allowed to correspond to a plurality of images in the coarse-grained retrieval stage, and the image which is most matched with the input of the user is screened from the plurality of images obtained by coarse-grained retrieval in the fine-grained retrieval stage.

The invention provides an image recognition process for ptychus leopardus eggs. Comprising the steps of obtaining a pteroptychus leopardus egg image data set, preprocessing the pteroptychus leopardus egg image data set, constructing a multi-scale spatial feature enhancement block, constructing a dual feature enhancement block, constructing a feature enhancement network, constructing a pteroptychus leopardus egg image identifier and constructing a pteroptychus leopardus egg image identification model. Meanwhile, the proposed multi-scale spatial feature enhancement block extracts the features of the pteroptychus leopardus egg images of different scales through cavity convolution, and the dual feature enhancement block extracts the global features of the pteroptychus leopardus egg images through multi-head attention and extracts the local features of the pteroptychus leopardus egg images through depth separable convolution; the recognition capability of the model is improved by adaptively combining the global and local features of the ptychus leopardus egg image through learnable parameters.

The invention discloses a multi-mode private illegal content retrieval method and system based on semantic granularity perception, and belongs to the technical field of image-text multi-mode content retrieval. In order to solve the technical problem that private and illegal contents are difficult to effectively retrieve through explicit text description, the method comprises the following steps of: constructing an image identifier consisting of clustering, matrix decomposition, quantization and unique coding, and realizing generative learning of an image and the image identifier by utilizing a multi-modal large model; and constructing a soft label based on the similarity between the image and the text representation, and outputting a corresponding image identifier through text-driven generative retrieval learning. According to the method, the illegal image content with semantic matching can be retrieved from the private text description, and the method is suitable for scenes such as illegal content examination, risk identification and content filtering.

This invention discloses a method and system for power equipment identification and information verification that integrates image semantic segmentation, relating to the fields of computer vision and data processing technology. The method includes: acquiring power equipment images and performing pre-standardization review; performing hierarchical identification on the power equipment images that have passed the pre-standardization review; matching measurement names from a measurement point-equipment-image relationship table based on image identifiers, calculating the similarity between the measurement point names and the measurement point names in the ledger records, and establishing an association between the power equipment images and the ledger records when the similarity is greater than or equal to a preset similarity threshold; comparing the hierarchical identification results with corresponding fields in the ledger records to obtain differences, and performing logical hierarchical consistency checks on the differences at the field level, cross-field level, and business level to obtain the credibility level and perform differentiated updates. This achieves high-precision automatic alignment between ledger data and on-site equipment status, reducing the cost of manual inspection and ledger verification.

The invention discloses a three-dimensional model generation method and device, equipment and a medium. The method comprises the following steps: acquiring a two-dimensional design image; identifying the two-dimensional design image to obtain text information, at least one equipment image identifier and image position information corresponding to each equipment image identifier; querying in a preset three-dimensional model library for each equipment image identifier to obtain an equipment three-dimensional model corresponding to the equipment image identifier; and connecting the corresponding equipment three-dimensional model according to the image position information and the text information corresponding to each equipment image identifier to obtain an initial three-dimensional model. According to the embodiment of the invention, the accuracy and efficiency of three-dimensional model generation can be improved.

The invention discloses a meteorological observation image transmission method based on Beidou communication, and relates to the field of image transmission, and the method employs an H.266 video compression algorithm to compress meteorological observation images, and carries out the intra-frame compression of a first meteorological observation image and the intra-frame compression of a second meteorological observation image. Inter-frame compression is performed on the basis of the stored reference compression frame from the second meteorological observation image, and the meteorological center station can decode the meteorological observation image only by transmitting the difference data between the meteorological observation image and the reference compression frame and the image identifier of the corresponding reference compression frame to the meteorological center station. Therefore, the data transmission quantity of each meteorological observation image is greatly reduced, the time consumed for transmitting the meteorological observation image to the meteorological center station through the Beidou communication technology is reduced, and the transmission efficiency of the meteorological observation image is improved.

The invention discloses an interaction method and device between virtual images, a storage medium and electronic equipment. The method comprises the steps that a first virtual image in a virtual social scene is displayed in a virtual shooting interface, and the first virtual image is a virtual image associated with a current account; in response to a triggering operation of an image adding control in the virtual shooting interface, displaying at least one image identifier in the virtual shooting interface; under the condition that a target image identifier is determined from the at least one image identifier, a second virtual image indicated by the target image identifier is displayed in the virtual social scene, and the target image identifier is used for indicating a virtual image associated with the target account in an offline state; and in response to a trigger operation on the shooting control, generating a target media resource according to the virtual social scene and the first virtual image and the second virtual image in the virtual social scene. According to the method and the device, the technical problem that the interactive operation between the virtual images is relatively tedious is solved.

Provided are an encryption method, decryption method and device, the encryption method comprising: generating a security parameter set comprising a knowledge image identifier and a security parameter set identifier, the knowledge image identifier being used for indicating the security parameter set to act on a display image or a knowledge image, the security parameter set identifier is used for distinguishing different security parameter sets acting on the same RAS or knowledge image AU; encrypting a to-be-encrypted NAL unit corresponding to the security parameter set; the NAL unit header of the encrypted NAL unit comprises an encryption mark which is used for indicating the NAL unit to encrypt by a specified encryption method in a security parameter set corresponding to the security parameter set identifier; a compressed video bitstream including the encrypted NAL unit and the set of security parameters is output. Therefore, security parameter sets are separately generated for the knowledge image and the display image for encryption and decryption, and the contradiction that the security parameter set of the knowledge image cannot meet the constraint that the knowledge image and the random access fragment where the knowledge image is located adopt the same security parameter set is solved.

The invention relates to the technical field of computers, and discloses an automatic execution method and system based on a containerized transformation tool, and the method comprises the steps: determining a target task operation tool and a corresponding container mirror image identifier according to the task operation content in a task operation request, building a mapping relation comparison table between an operation task and a corresponding container mirror image calling position, by accessing an execution machine resource pool management database, a task operation list of each execution machine is extracted, execution association information in an automatic execution time period is determined, and task operation is performed according to the execution association information and task operation association information in a task operation request. According to the method, an automatic execution strategy of each operation task is generated by considering storage space information of a container operation environment corresponding to each execution machine and a network condition of an application platform and each execution machine, and on the basis of meeting network requirements required by container mirror image pulling and container mirror image storage space limitation, an automatic execution strategy of each operation task is generated; and executing the running task by adopting the container mirror image of the latest version as far as possible.

The present application relates to the field of image processing technology and provides a semantic segmentation method, apparatus, device, and storage medium. The method includes obtaining a semantic segmentation model set and a training data set matching a target image in a database based on an image identifier of the target image; inputting the target image into each initial semantic segmentation model to obtain multiple initial semantic segmentation results, and determining a target initial semantic segmentation model from multiple initial semantic segmentation models based on the multiple initial semantic segmentation results; fusing the model parameters of each target initial semantic segmentation model to obtain fused model parameters, and updating the model parameters of any target initial semantic segmentation model based on the fused model parameters to obtain a fused semantic segmentation model; training the fused semantic segmentation model based on the training data set to obtain a target semantic segmentation model, and inputting the target image into the target semantic segmentation model to obtain a semantic segmentation result of the target image. This method improves the accuracy of semantic segmentation.

The application discloses a model parameter automatic adjustment method and device. The method comprises the following steps: when the model performance index of a product defect detection model is lower than a preset performance threshold, obtaining a plurality of groups of inferred data of the product defect detection model, wherein each group of inferred data comprises a defect detection result corresponding to an image identifier and a detection state, and the defect detection result comprises a defect category and a detection parameter group corresponding to each defect detection frame in a product image corresponding to the image identifier; for each defect category preset in the product defect detection model, determining a plurality of detection parameter groups corresponding to the defect category from the plurality of groups of inferred data, and determining a model performance index corresponding to each detection parameter group; and taking the detection parameter group with the highest model performance index as a target detection parameter group corresponding to the defect category. The application solves the technical problems of low efficiency and poor accuracy in manually adjusting the model parameters of the product defect detection model.

This invention belongs to the field of engineering supervision and inspection technology, and discloses an AI-based intelligent supervision and inspection system. The system includes an inspection item configuration unit, an image acquisition unit, a reference positioning unit, an identification unit, a judgment unit, a supplementary image generation unit, a re-inspection positioning unit, and a re-inspection verification unit. The system calls the corresponding judgment rules based on the inspection item identifier, acquires inspection images of the supervision area, identifies benchmark reference objects, target objects, and necessary observation points, establishes relative position parameters, and outputs qualified judgment results, unqualified judgment results, or supplementary image identifiers accordingly. When an item is unqualified, re-inspection positioning information is generated, and the re-inspection area is determined in the re-inspection image to complete the re-inspection verification. This system is applicable to the judgment and re-inspection of inspection images under different equipment and angles.

The invention provides a safe scanning method and device for a container mirror image, electronic equipment and a storage medium, and the method comprises the steps: downloading a read-only access configuration file of each container cluster from a container cluster management platform; the read-only access configuration file is used for limiting the access authority to the container cluster to be the read-only access authority; deploying a plurality of containers and a container mirror image used by each container in the container cluster; for each container cluster, based on the read-only access configuration file of the container cluster, obtaining container information of each container which is currently in operation from the container cluster; the container information comprises a mirror image identifier of a container mirror image used by the container; and based on each mirror image identifier contained in the received container information, taking the container mirror image corresponding to each mirror image identifier as a to-be-scanned container mirror image, and performing security scanning on each to-be-scanned container mirror image to judge whether security vulnerabilities exist in the to-be-scanned container mirror image. Through the method, the safety scanning efficiency of the container mirror image is improved.

The present disclosure relates to a virtual item processing method and device, electronic equipment and storage medium. The method comprises: displaying virtual item touch information on a live page; in response to a triggering operation on the virtual item touch information, displaying a virtual item selection page; the virtual item selection page includes a plurality of preset virtual item image identifiers corresponding to each virtual item; in response to a selection operation on a target image identifier, at least one item component corresponding to a target preset virtual item is displayed; in response to a selection operation on a target candidate component in the at least one item component, a target recombined virtual item is displayed; the target recombined virtual item is generated by updating the components of the target preset virtual item based on the target candidate component. The present disclosure can refine the component granularity of virtual items and enrich the presentation style of virtual items.

The embodiment of the invention provides a media content interaction method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: playing media content on a media content interface; in response to a playing pause operation for the media content, pausing playing of the media content, and displaying an image identifier of at least part of a media content image in the media content in a first area of the media content interface, displaying at least one associated content element of the media content in a second area of the media content interface; and in response to a progress adjustment operation based on the image identifier, adjusting the playing progress of the media content. By means of the technical scheme, the content displayed when the media content is in the paused playing state and the interaction mode when the media content is in the paused playing state can be enriched.

Embodiments of the present invention provide an interaction information publishing method and apparatus, an electronic device, a storage medium, and a program product. The method comprises: in response to an interaction operation on media content, displaying an interaction information input area of the media content; acquiring at least one piece of image content on the basis of an image content acquisition operation of the interaction information input area, and displaying an image identifier of the at least one piece of image content in the interaction information input area; in response to a first trigger operation based on the image identifier, displaying an image content editing interface; and in response to an edit confirmation operation performed in the image content editing interface, publishing first interaction information for the media content on the basis of preset image content confirmed by the edit confirmation operation.

The present application proposes a method and device for integrating graphics and models based on an EIP object model, the method comprising: obtaining a first production line identifier and a first device identifier of a target device; when any EIP class option in an EIP class selection list in a first editing interface is selected, obtaining an EIP class identifier associated with the EIP class option; generating an EIP object using an EIP class corresponding to the EIP class identifier for describing attribute information of the same type of device; adding a second control corresponding to the EIP object to an object list; and storing the EIP object, the image identifier of the target device, the first production line identifier, the first device identifier, and the EIP class identifier in association when it is detected that the second control is moved to within a preset range of the position of the image identifier of the target device. Creating an EIP object corresponding to the target device based on the EIP class improves the reusability of device parameters, makes the parameters associated with the image identifiers of the same type of device the same, avoids adjusting the parameters associated with the image identifiers of different devices one by one, and improves the efficiency of constructing a monitoring interface for a mine.

The invention provides a meteorological data storage method and apparatus, and an electronic device. The method comprises the steps of obtaining meteorological image data; adopting a preset algorithm to extract traditional business features and deep learning features of the meteorological image data, and fusing the traditional business features and the deep learning features to obtain a fused feature vector; storing the fusion feature vector to a vector data field of a pre-constructed database, storing a storage path corresponding to meteorological image data to an image file storage path field of the database, and storing an image identifier to an image unique identifier field of the database; and storing the corresponding meteorological image data in a preset file system. Compared with the prior art, the meteorological image data is not simply stored in a file system, feature extraction is performed by adopting a pre-auditing algorithm, and feature vectors are fused to serve as fixed fields in a database, so that convenience is provided for subsequent query, and the utilization rate of resources is improved.

The invention discloses an interaction method and device between virtual images, a storage medium and electronic equipment. The method comprises the steps that a first virtual image in a virtual social scene is displayed in a virtual shooting interface, and the first virtual image is a virtual image associated with a current account; in response to a triggering operation of an image adding control in the virtual shooting interface, displaying at least one image identifier in the virtual shooting interface; under the condition that a target image identifier is determined from the at least one image identifier, a second virtual image indicated by the target image identifier is displayed in the virtual social scene, and the target image identifier is used for indicating a virtual image associated with the target account in an offline state; and in response to a trigger operation on the shooting control, generating a target media resource according to the virtual social scene and the first virtual image and the second virtual image in the virtual social scene. According to the method and the device, the technical problem that the interactive operation between the virtual images is relatively tedious is solved.

Provided in the embodiments of the present application are a method and apparatus for generating a bull's eye plot, and an electronic device and a storage medium. The method for generating a bull's eye plot comprises: acquiring a plurality of data results; on the basis of at least one first category of the plurality of data results, configuring sectors of a bull's eye plot; on the basis of at least one second category of the plurality of data results, configuring concentric rings of the bull's eye plot, wherein the span of each sector is determined on the basis of a weighted value obtained by means of performing weighted processing on first quantities of data results respectively held by all sub-concentric rings within the sector; and configuring within the sub-concentric rings of the sector image identifiers respectively corresponding to the data results.

This disclosure describes utilizing an image encoding system that provides a comprehensive and robust defense strategy for artificial intelligence (AI) generated content (AIGC). Specifically, the image encoding system provides a framework that combines multiple security measures with various transform domain methods in order to encode an image with multiple instances of an encoded image identifier. The image encoding system achieves a balance between maintaining the high quality of generative images and ensuring the traceability of the images. By doing so, the image encoding system addresses numerous technical challenges presented by AI-generated media, thereby ensuring that generative images are protected against unauthorized usage.

To provide a service cooperation system and a service cooperation method for efficiently performing transactions.SOLUTION: A service cooperation system A1 includes a second server 30 which is connected to a first server 20 providing a first settlement service and provides a second settlement service, and user terminals 10 using the first settlement service. Then, a second server 30 executes image generation processing for generating an image identifier to be included in a code image to be used for settlement, and association processing for associating and storing the anonymous identifier generated by the first server 20 and the image identifier. Further, when acquiring the image identifier of the code image read by the reading terminal, the second server 30 executes settlement stage processing for making the first server 20 execute the settlement of the transaction of the anonymous identifier associated with the image identifier.SELECTED DRAWING: Figure 1

The present invention relates to the field of image encryption technology, and specifically discloses an image encryption storage method and system. The method includes receiving an image set, constructing a storage repository tree based on the image set; starting from the root storage repository, performing upsampling in a loop, and inserting the upsampled image into a child storage repository until data is inserted into one of the leaf storage repositories; receiving an image identifier, an encryption area, and an encryption level input by a user, determining the number of layers according to the encryption level, querying the upsampled image in the child storage repository of this number of layers according to the image identifier, and encrypting the encryption area in the upsampled image. The present invention constructs a tree-shaped storage repository according to the sizes in the image set, continuously performs upsampling on the image and inputs it into different storage repositories, converts each image into an image chain. When encryption is required, directly select the upsampled image in the image chain and perform an encryption operation on the upsampled image, greatly simplifying the encryption process.

The invention discloses an end-of-play detection device and a program switching method for a broadcast television system. The program switching method comprises the following steps: extracting the video content of a rebroadcast program according to the program time of a program list; obtaining the end time of the rebroadcast program according to the end identifier in the video content; the end identification comprises a preset image identification and an audio identification, the image identification comprises a station logo and specific text content of an original television station, and the audio identification comprises voice and program music of a host. According to the program switching method, the switching signal can be adjusted in real time according to the voice content of the host, so that the completeness of the rebroadcast program and the continuity of the switching program are ensured, and a broadcasting accident is avoided.

The application provides a camera calibration method, system, device and storage medium, the method comprising: driving at least one target camera to focus on a target object on a turntable to obtain a focusing parameter of the at least one target camera; driving the at least one target camera to shoot a calibration body on the turntable based on the focusing parameter to obtain a first image set of image identifiers on the calibration body; and calibrating the at least one target camera according to the first image set and a preset calibration algorithm to obtain pose information of the at least one target camera relative to the target object, wherein the calibration body comprises: at least three characteristic surfaces, each of which is a concave surface; the at least three characteristic surfaces are distributed in a circumferential direction and are sequentially connected; and the at least three characteristic surfaces are respectively provided with image identifiers. The application expands the application range of the calibration body, reduces the operation process of replacing the calibration body due to different sizes of the target object, and effectively improves the accuracy of camera calibration.

Embodiments of the present application provide a character recognition method and system, an electronic device and a storage medium, and belong to the technical field of artificial intelligence. The method comprises: a client generating an image scanning area in response to a touch operation of a preset first recognition control; the client performing image type recognition on a to-be-recognized image according to a preset type recognition model to obtain a recognition result; if the recognition result indicates that the image type of the to-be-recognized image is a preset type, the client performs quality detection on the to-be-recognized image to obtain a detection result; if the detection result indicates that the quality of the to-be-recognized image is qualified, the client sends the to-be-recognized image to a server; the server generates an image identifier of the to-be-recognized image according to the to-be-recognized image, and sends the image identifier to the client; the server performs character recognition processing on the to-be-recognized image to obtain recognition data; and the client acquires the to-be-recognized image and the recognition data from the server according to the image identifier. The embodiments of the present application can improve the efficiency of character recognition.

The invention discloses a model parameter automatic adjustment method and device. The method comprises the steps that when a model performance index of a product defect detection model is lower than a preset performance threshold value, multiple sets of reasoned data of the product defect detection model are obtained, and each set of reasoned data comprises a defect detection result and a detection state corresponding to an image identifier; the defect detection result comprises a defect category and a detection parameter group corresponding to each defect detection frame in the product image corresponding to the image identifier; for each preset defect category in the product defect detection model, determining a plurality of detection parameter groups corresponding to the defect category from the plurality of groups of reasoned data, and determining a model performance index corresponding to each detection parameter group; and taking the detection parameter group with the highest model performance index as a target detection parameter group corresponding to the defect category. The technical problems that the efficiency is low and the accuracy is poor when the model parameters of the product defect detection model are manually adjusted are solved.

To provide an image identification system capable of obtaining a target image from a large quantity of images generated with a generation model, and using the image for creation of animation.SOLUTION: An image identification system 10 which identifies a generation image generated by a diffusion model 50 includes: a diffusion model 50 in which the diffusion model 50 using an additional learning model having learnt a learning image as an adapter generates for generating a generation image so as to interpolate a prescribed frame period on the basis of instruction information; and an image identifier 56 which captures the generation image, identifies if the generation image generated by the diffusion model 50 is suitable or unsuitable, disposes a generation image which is identified unsuitable, and allows the diffusion model 50 to generate again a generation image corresponding to the disposed frame.SELECTED DRAWING: Figure 4