68 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 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 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.

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.

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 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

The application discloses a dynamic updating face recognition method and device and electronic equipment, the method comprises the following steps: acquiring system configuration parameters, the system configuration parameters include face recognition algorithm type identifier; according to the face recognition algorithm type identifier, the corresponding face recognition algorithm is called, the feature of the face picture to be detected is extracted, and the face feature vector is obtained; the data linked list corresponding to the face recognition algorithm type identifier is called from the database, the data linked list stores different face image identifiers and the face feature values obtained by the face recognition algorithm corresponding to the face recognition algorithm type identifier and different face image feature extraction; the face feature values in the data linked list are traversed and compared with the face feature vector respectively, the similarity is calculated, the face image with the maximum similarity and the corresponding personnel information are output; the application is convenient for updating and upgrading the face recognition algorithm, and can adapt to the rapid development and replacement of the face recognition technology.

The invention discloses an image output management method for a medical image, which relates to the technical field of medical information management, and comprises the following steps: recording an output context parameter based on an image output request, generating an output event record including an operator identifier, a department identifier, a patient identifier, an examination number, a DICOM image identifier, an output type, an output target address, a workstation identifier and an output timestamp, and writing a global unique number generated based on the timestamp into the output event record; comparing a local cache index according to the global unique number to screen unregistered records, generating deduplicated output event records, and sequentially writing the deduplicated output event records into a cache log file; generating a serial number word string according to the global unique serial number recorded by the output event in the cache log file, and executing SHA-256 operation based on the serial number word string to generate batch Hash abstract data; according to the invention, synchronous guarantee of medical image output behaviors in three aspects of context binding, content consistency and visual auditing traceability is realized.

The application relates to a liquid surface sensing device, a method and a descending method of a sampling needle, wherein the liquid surface sensing device comprises a sample rack with a plurality of uniform slots capable of accommodating sample containers of various specifications; an image identifier is used to identify and distinguish different sample containers in an image recognition mode when the sample rack is in a sample suction area; a sample suction needle assembly comprises a sampling needle, a laser ranging device, a needle beam and a liquid surface detection device; one end of the needle beam is fixed with the sampling needle, the laser ranging device and the liquid surface detection device; and the liquid surface detection device can detect a liquid surface based on a capacitance detection method. The scheme can greatly improve detection stability and reduce a dead volume, so that the needle tip cannot touch the bottom of the container to cause needle puncture.

This application discloses a method, system, device, and storage medium for remote debugging of container images. The technical solution provided in this application involves obtaining the image identifier of the target container image in response to a debugging request sent by the debugging end via a bidirectional communication channel; obtaining the node status of each node based on the node access interface of the container orchestration platform to determine the target node; creating and starting a debugging container with the corresponding image identifier on the target node through a secure communication channel with the target node and the container runtime interface of the container orchestration platform; receiving debugging instructions from the debugging end, forwarding the debugging instructions to the debugging container for execution, and forwarding the execution result returned by the debugging container based on the debugging instructions back to the debugging end. By employing the above technical means, the debugging efficiency and success rate of container images can be improved, meeting the operational and maintenance needs for efficient and reliable diagnosis of container images in containerized application environments.

The invention provides a privacy protection image retrieval system, which relates to the technical field of image retrieval, is a trusted third party and is used for generating an encryption key, a hidden key, a verification parameter, an index key pair, a retrieval key pair and a re-encryption key pair. The image owner embeds the proof into the ciphertext image based on the hidden key to obtain a target image corresponding to the ciphertext image; determining a target image set based on all the target images; and the cloud server obtains a plurality of search image identifiers corresponding to the query image and target images corresponding to the search image identifiers, and sends all the search image identifiers and the corresponding target images to the query user. According to the technical scheme, through cooperation of the trusted third party, the image owner, the query user and the cloud server, the vector commitment technology and the reversible data hiding technology are combined, and on the premise that the semantic attribute and feature correlation of the image is not damaged as far as possible, the target is rapidly positioned in massive indexes.

This invention discloses an image loading method, apparatus, electronic terminal, and storage medium. The method includes: responding to a loading event of a target image, determining an image identifier at at least one resolution based on its Uniform Resource Locator (URL); determining a target identifier corresponding to the loading event from the image identifiers, and sequentially determining a current query identifier in descending order of the corresponding resolution, starting from the target identifier; repeatedly querying the target image from a preset storage space based on the current query identifier until the query is successful, or the current query identifier corresponds to the lowest resolution and the query fails; if the query is successful, loading the queried target image; if the current query identifier corresponds to the lowest resolution and the query fails, downloading and loading a target image at a preset resolution (where the preset resolution is lower than the lowest resolution). This method can eliminate the time-sensitivity of cached images, avoid repeated waiting for image loading in different scenarios, and reduce user waiting time.

The application discloses an image processing method and device, a chip, a controller and a vehicle, and belongs to the technical field of images. The method comprises the following steps: receiving a plurality of first storage messages; when the image identifier carried in the first storage message indicates other images, reading the other images in sequence according to the storage position carried in the first storage message according to a preset reading strategy, and performing image processing on the other images until a second storage message is received; the image identifier carried in the second storage message indicates a front view image with the highest priority; reading the front view image according to the storage position of the front view image carried in the second storage message, and performing image processing on the front view image; after the processing of the front view image is completed, the other images that have not been processed are continuously read, and the processing of the other images that have not been processed is completed before a plurality of first storage messages in a next period are received. The processing priority of the front view image is ensured, the processing delay is reduced, and the image processing efficiency is improved.