36 results about "Image name" patented technology

The invention discloses an identification-based industrial map data registration method and system. The method comprises the following steps: 1) an industrial map data registration system distributes a unique user id for each registered user; then generating a character string according to the feature value of the to-be-registered graph data filled by the user and the user id; the feature value comprises a picture name, a picture path, a storage server ip, a superior node id and a child node id; 2) encrypting the character string to generate a ciphertext as an identifier of the graph data; 3) receiving a data source access permission set by a user for the graph data; when duplicate checking judgment is carried out on the graph data, an identifier of the graph data is analyzed, and according to a picture storage path of the analyzed graph data, the storage server ip obtains an absolute path of a storage position of the graph data and accesses the data for comparison duplicate checking; and 4) updating the registered knowledge graph of the user by identifying the superior node id and the child node id of the analyzed graph data.

According to the automatic finishing configuration method for the geographic information annotation of the thematic map, an annotation method for establishing point, line and surface elements in the thematic map as well as image name, legend and thematic icon finishing elements is established, so that the drawing efficiency of the thematic map is improved, the annotation drawing work of the thematic map is enabled to be one-key, and the automation of drawing the thematic map by CorelDRAW is realized; the method comprises the following steps: establishing an annotation configuration rule of each element, configuring each annotation on a graph according to the corresponding rule, judging whether the annotations conflict or not by establishing a model algorithm and shifting, and automatically configuring the annotations of the line elements by utilizing a method of equidistantly segmenting the line elements. And realizing direct layer simplification of the line element cdr file. According to the method, a graph name annotation configuration scheme, a legend configuration scheme and a statistical graph annotation configuration scheme are established, automatic configuration of graph names, legends and statistical element annotations is achieved in CorelDRAW through rules, the drawing efficiency is improved, and beautification and expression of thematic maps are achieved.

In some implementations, the device may include detecting a virtual instance deployed in a computing environment, the virtual instance deployed based on a software image. In addition, the device may include detecting an image name of the software image. The device may include accessing an image software repository to retrieve the software image based on the detected image name. Moreover, the device may include initiating validation of the retrieved software image. Also, the device may include initiating a mitigation action on the virtual instance in response to detecting that the retrieved software image is an invalid software image.

The invention relates to the technical field of electronic-grade sulfuric acid production, and particularly discloses a full PFA pipeline identification method for electronic-grade sulfuric acid, which comprises the following steps: collecting PFA pipeline image data, manually marking an image name and a label, and importing the image name and the label into a CSV file to facilitate model extraction; randomly dividing the data into a training set, a verification set and a test set in proportion; constructing a classification prediction model based on a convolutional neural network, and taking the image data as input and the image label as output for training; carrying out optimization iteration on model parameters, so that the parameters of the prediction model are continuously learned and updated; and finally, obtaining an optimal prediction model of the electronic-grade sulfuric acid full pipe in the PFA pipeline. When a follow-up device runs, the flow state of the electronic-grade sulfuric acid fluid in the PFA pipeline can be judged through online monitoring, so that the pipeline flow, the valve opening and the like are operated in advance, and a certain guiding effect on the current production process is achieved.

In some implementations, the device may include detecting a virtual instance deployed in a computing environment, the virtual instance deployed based on a software image. In addition, the device may include detecting an image name of the software image. The device may include accessing an image software repository to retrieve the software image based on the detected image name. Moreover, the device may include initiating validation of the retrieved software image. Also, the device may include initiating a mitigation action on the virtual instance in response to detecting that the retrieved software image is an invalid software image.

1. The name of the design product: electric rice cooker control graphical user interface for electronic devices. 2. The use of the design product: for electronic devices. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the front view is the interface display in standby state. User clicks "smart rice box" button interface change state figure 1. Interface change state figure 1 is the smart rice box secondary page, the current user clicks "rice box storage" interface change state figure 2. Interface change state figure 2 is the selection of rice variety interface, the first card fixedly displays the rice card, the initial entering page displays "not added" word, and other cards can be added rice variety by the user. The current user clicks any "select rice variety" card interface change state figure 3. Interface change state figure 3 is the selection of rice variety interface, the left side displays the storage prompt composed of schematic diagram and annotation text, the middle can slide up and down to select rice variety, and the right side can slide to select storage date. Click the "save" button in the upper right corner interface change state figure 4. Interface change state figure 4 is the interface after all rice varieties are added, and the interface shows the card composed of the picture, name and storage day of each rice variety.

1. The name of the design product: the whole board display area of the electronic substrate inspection management graphical user interface of the electronic device and the list of part names. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The design for which protection is sought contains color. 6. Design 1 is designated as the base design. 7. The use of the graphical user interface: overall use: for a device that takes X-ray perspective images of electronic substrates and performs non-destructive inspections, for a user to set inspection items and confirm inspection results; partial use: as shown in the front view of each design, when the user selects an image name from the list of part names at the bottom left of the graphical user interface, the image is displayed in the central part of the graphical user interface, the whole image of the substrate is displayed in the whole board display area at the top left of the graphical user interface, and the position of the currently selected and displayed image on the whole board is displayed in an emphasized manner. 8. Other circumstances that need to be explained: the part not requiring protection is indicated by a dashed line in the figure.

The present application provides a scheduling method, device and master node, the method comprising: the master node receives a scheduling task, the scheduling task is used to schedule the working node in the cluster to create a target container, the scheduling task includes the image name of the image used to create the target container; the master node obtains the processor architecture type of the working node that creates the target container according to the image name of the image; the master node selects a target node from the cluster for creating the target container, the processor architecture type of the target node is the same as the processor architecture type of the working node that creates the target container. In this way, the automation level of the master node in executing the scheduling task is improved.

The invention discloses an endangered animal recognition feedback system and method based on image recognition and a related device, and relates to the technical field of endangered animal recognized.The system comprises a man-machine interaction module, an image recognition module and a knowledge base module, and the man-machine interaction module is used for receiving a to-be-detected image, input by a user, of a to-be-detected endangered animal; the image recognition module is used for performing image recognition on the to-be-detected image and determining species of the to-be-detected endangered animal, and the man-machine interaction module is further used for calling detailed information of the species of the to-be-detected endangered animal from the knowledge base module based on the species of the to-be-detected endangered animal. And displaying the species of the to-be-detected endangered animal and detailed information of the species of the to-be-detected endangered animal, wherein the detailed information comprises pictures, names, protection levels, morphological characteristics, common transaction categories, common illegal utilization forms, values and distribution places. The method can efficiently and accurately complete the recognition and feedback of the endangered animal based on image recognition, and is timely and reliable.

The invention relates to the technical field of digital video processing, and discloses a playback program offset correction method and device based on video key frame similarity, and the method comprises the steps: extracting an original program key frame, and appointing a moment T; regularly acquiring a key frame picture T.jpg of the live program at a specified moment T; acquiring video key frames in a range from T moment to T + 60 second moment of a playback program, and arranging the video key frames in sequence; sequentially comparing the T.jpg with the picture similarity of the video key frame in the range from the time T to the time T + 60 seconds when the program is watched back, obtaining the name T-i. Jpg of the first picture with successful similarity matching, and setting the corresponding picture serial number as i; and calculating according to X frames per second, and determining the offset represented by each frame of picture as 1 / X seconds and the play time offset of the playback program. The playback time offset of the playback program can be accurately calculated, and the playback time of the program can be regularly and automatically corrected, so that the user experience is improved.

The invention relates to the technical field of image detection, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a component-based picture resource integration method, which comprises the following steps of: traversing a root directory of each component according to a request, and obtaining a configuration file and a picture resource directory; extracting a picture name, a picture type and a picture path of each picture file, creating a global resource mapping table, and generating a classification reading code for loading each picture file according to the global resource mapping table; analyzing the configuration file to obtain a component name, a component path and a dependency relationship of each component and a reference attribute of the picture file, and generating a component relationship list between each component and other components; and executing a predefined compilation command on each component to obtain a binary library and a resource bundle, and integrating the binary library and resources to a target application. According to the method, the picture file is read by utilizing the classified reading code, the picture resource can be accurately quoted, and the accuracy of quoting the picture resource is improved.

The application provides an input method of identity in a payment process and related equipment, which can be used in the field of payment processing. The method comprises the following steps: receiving an input request of an identity sent by a client, and generating multiple pictures and associated indexes; sending the pictures and the associated indexes to the client, receiving an input position and a value of a selected picture sent by the client; determining a picture name corresponding to the selected picture according to the value, and determining an index value corresponding to the picture name; determining each number input by the user on the client according to each index value, combining each number according to each input position to obtain the identity, and associating the identity with a transaction serial number of the transaction between the client and the client for use by a transaction processing system. In the application, the triple mapping of the user-selected picture, the index value and the array associated with the index realizes the safe input of the identity by the user, and improves the security of the payment.

The application provides a container image scanning method and system based on an elastically scalable distributed load balancing, and belongs to the field of container image security, and comprises the following steps: S1, a Server end acquires a container group template based on Kubernetes admission control; S2, the Server executes different scanning strategies according to the template; S3, an Agent acquires an image layer from an image warehouse according to an image layer distributed by the Server, scans the image layer, and returns the scanning result to the Server; S4, a Job performs a scanning task on a node according to an image name, and reports a scanning result; after the task is executed, the Job container is automatically destroyed; S5, the Server distributes a scanning task according to a resource condition of the Agent, and dynamically adjusts the number of Agents according to a load; and S6, the system checks the uniqueness of an image layer ID, and avoids repeated scanning. The method realizes efficient container image scanning and resource management.

The product to which the design of this application relates is an image displayed in a device that takes X-ray fluoroscopic images of electronic circuit boards and performs non-destructive testing, allowing the user to set inspection items and check the inspection results. When an image name is selected from the collection list at the bottom left of the screen, the image is displayed in the center of the screen. An entire image of the circuit board is displayed in the top left of the screen, and the currently selected and displayed image is highlighted to indicate which part of the entire board it is. This is a dynamic design in which the position of the highlight on the entire board changes depending on the user's action of selecting an object to display from the collection list.

Methods, devices, and storage media are provided, including detecting adding a lock to an album stored in a first internal storage area corresponding to a gallery, and in response, adding the lock to the album and starting a system application corresponding to the lock, sending a picture name in the album to the system application through a file opening interface between the gallery and the system application, and where a second internal storage area corresponding to the system application does not include a picture file for the picture name, creating the picture file in the second internal storage area, obtaining a first file descriptor of the picture file, and returning the descriptor to the gallery, obtaining picture content written by the gallery into the second internal storage area based on the descriptor, disabling the file opening interface, and storing the picture content in the second internal storage area.

The embodiment of the invention provides a mirror image access permission control method and device, equipment and a storage medium, and relates to the technical field of information. The mirror image access permission control method comprises the following steps: receiving a Docker mirror image operation command which is sent by a service end and aims at a service; analyzing the Docker mirror image operation command to obtain a mirror image name carried by the Docker mirror image operation command; renaming the mirror image name in combination with a service identifier uniquely corresponding to the service to obtain a renamed mirror image name, and allocating different service identifiers to different services; and accessing a mirror image corresponding to the Docker mirror image operation command by using the renamed mirror image name. The isolation of mirror image access permissions by different services is realized, and the risk of service information leakage is reduced.

The invention discloses a motor train unit fault image baseline message generation system, and belongs to the technical field of baseline message generation. According to the invention, the problems of low efficiency and high cost of the traditional baseline message generation method are solved. The method comprises the following steps: acquiring information of all test cases under a generated message path by utilizing a data loading and processing module, respectively loading images according to image names under the test cases, screening the test cases according to the loaded images, and acquiring information of the screened test cases and the images corresponding to the screened test cases; a fault type judgment module is used for judging the fault type of the image corresponding to each screened test case; a fault level judgment module is used for judging the fault level of the fault corresponding to each test case; a baseline message generation module is used for generating a baseline message according to the test case information and the fault position and the fault level in the image corresponding to the test case. The method can be applied to baseline message generation in a fault identification model test.

The invention relates to a multi-image named entity recognition method and device and electronic equipment, and relates to the technical field of natural language processing, and the method comprises the steps: calculating the similarity score of each image and a named entity in text data based on an image-text similarity discrimination model fed back by human beings, and calculating the similarity score of each image and the named entity in text data based on a multi-modal large language model and a similar example perception model; auxiliary knowledge is generated in combination with the text data, the multiple images and the manual annotation sample set; extracting multi-scale layered visual features of each image; and determining fusion visual features for the multi-scale layered visual features based on a dynamic gating mechanism, performing weighted aggregation on the fusion visual features according to similarity scores, performing cross-modal interaction on the aggregated fusion visual features and auxiliary knowledge to obtain a text hidden vector sequence, and identifying the named entities in the text data based on the text hidden vector sequence. Noise can be effectively filtered in a multi-image scene, multi-scale visual information is fused, reliable auxiliary knowledge is generated, and entity recognition accuracy is improved.

The invention provides a DEM mosaic line generation method and device, equipment and a medium, and the method comprises the steps: obtaining a plurality of stereoscopic images collected for a preset region, the plurality of stereoscopic images comprise a group of stereoscopic images corresponding to each shooting unit in the preset region, and each stereoscopic image comprises a corresponding image name and an image time phase; data range extraction is carried out on the group of stereoscopic images corresponding to each shooting unit, vector files corresponding to each shooting unit are obtained, and the image name and the image time phase of each stereoscopic image are recorded in an attribute table of each vector file; segmenting overlapping areas of the plurality of vector files to obtain overlapping area vector graphs and non-overlapping area vector graphs among the shooting units; determining a target overlapping area vector graph according to the image time phase of the overlapping area vector graph; and according to the mosaic line of the target overlapping area vector graph and the mosaic line of the non-overlapping area vector graph, determining the mosaic line of the preset area. And the precision of the inlaid line in the preset area is ensured.

The invention relates to an AI picture recognition fused intelligent drying oven for medical care and an application control method thereof.By means of the AI picture recognition fused intelligent drying oven for medical care, basic information, including pictures, names, recommended drying oven temperature and recommended drying oven time, of to-be-placed medical care instruments can be input in advance and stored in a storage; when a to-be-placed medical instrument is placed, AI identification can be carried out on the collected image information Pic-a of the current to-be-placed medical instrument, a corresponding identification result is output, and the controller opens the corresponding drying unit according to the identification result and carries out drying according to the preset temperature and time. Therefore, conditions such as misplacement of nurses can be avoided, orderly management of medical facilities is facilitated, automatic drying of corresponding instruments can be realized, the occurrence rate of misplacement of the instruments in a drying oven is reduced, property loss of hospitals is reduced, and operation efficiency is greatly improved.

This invention belongs to the field of information processing and provides a method and system for rapid image retrieval in power distribution networks. It performs similarity judgment based on multiple weighted feature indicators of power distribution network inspection images and images in a database. If the similarity exceeds a set threshold, the image is considered redundant and not stored in the database; otherwise, it is stored. The feature information of images in the database is associated with their naming conventions to obtain the image storage name. An index mapping relationship is established between the original image name and the storage name, and the target image is retrieved based on this index mapping relationship. This significantly improves the efficiency of image retrieval in the database.

The invention provides an intelligent substation inspection defect detection method and system based on text prior, and belongs to the technical field of substation equipment defect image detection in the power industry. The method comprises the following steps: acquiring a substation patrol image, inputting the substation patrol image into a positive sample detection model, judging whether the patrol image is an abnormal image or not, and keeping the abnormal image; extracting text prior information in image names of the inspection images judged to be abnormal, and generating a normalized prior vector based on a mapping relation between equipment parts and defect types; inputting the abnormal image and the normalized prior vector into a negative sample detection model, performing directional defect detection, and outputting a defect type; the negative sample detection model is an improved YOLOv8 model, and the improved YOLOv8 model introduces a channel attention module behind each C2f module of the backbone network. According to the method, the detection precision is improved, the secondary auditing workload of operation and maintenance personnel is reduced, the calculation cost is reduced, and the detection real-time performance is improved.

The application provides a kernel state high-speed docker container internal measurement method and device, belongs to the container measurement technical field, and includes a kernel state measurement function component and a user state auxiliary function component, wherein the user state auxiliary function component is in communication connection with the kernel state measurement function component, is used for assisting the kernel to obtain a container image name of a running container, solidifying and storing a measurement strategy based on the image name, and assisting the kernel state measurement function component to complete a measurement function; and the kernel state measurement function component includes a strategy library cache, a container image name cache and a measurement task queue thread. The method of the application reduces strategy configuration redundancy, optimizes the interaction logic of the kernel state and the user state, controls the interaction and control of the user state and the kernel state to be minimum, and reduces system resource occupation during overall operation.

The present disclosure relates to a method, device, server, and storage medium for obtaining image description information. The method comprises: obtaining multiple images to be identified, and object description information for each image to be identified; determining a target object image in each image to be identified based on the object description information of each image to be identified; classifying the target object image in each image to be identified to obtain a target object classification set to which each image to be identified belongs; and determining image description information for each image to be identified based on the set description information of the target object classification set to which each image to be identified belongs. Compared to the related art method of manually defining a category system and then naming the classification categories, the present disclosure does not require a manually defined category system, and thus can improve the accuracy of the determined image names.

This invention discloses a method, system, computer device, and medium for optimizing the size of an application installation package. The method includes: searching for resource information of all images in the APP package to be optimized; collecting the target image names reported by the APP package in the runtime environment within a preset period, and determining the loading frequency of each target image name based on the reported target image names; determining the image sequence to be optimized based on the loading frequency of each target image name and the resource information of all images; and optimizing the image sequence to generate an optimized APP package. Because this application determines the image sequence to be optimized by determining the loading frequency of each target image name, the loading frequency can determine the specific number of times each image is used, thereby ensuring that the APP package size is reduced without affecting the fast loading of frequently used images, thus improving the user experience.

The present invention discloses a method, system, terminal and storage medium for intelligent grouping of surveillance videos, the method comprising: obtaining the names and group names of all surveillances that need to be processed, obtaining a screenshot of the surveillance content corresponding to each surveillance, selecting some images from all the surveillance content screenshots for manual annotation, and adding scene labels; using a third-party tool to obtain the keywords of the content labels, groups and names of all images, and training a surveillance video classification model in combination with the scene labels to obtain a trained surveillance video classification model; obtaining surveillance videos to be classified that need to be classified, inputting the surveillance videos to be classified into the trained surveillance video classification model, and outputting the classification results of the surveillance videos to be classified. The present invention obtains the keywords of the image names and the image content labels, and finds the relationship between these words and the scene, establishes a classification model based on the relationship, and automatically classifies the newly added surveillance videos after being processed by the classification model.

1. Name of the product in this design: Graphical user interface for viewing images and details of industrial vision software for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: A graphical user interface used for browsing images and viewing details of corresponding tags in industrial vision software. 7. Human-computer interaction method of graphical user interface: Design 1 main view is the product homepage; Clicking the image name in the left list of Design 1 main view displays the original image and label box, resulting in Design 1 interface change state diagram 1; Enter text in the input box in the lower right part of Design 1 interface change state diagram 1, resulting in Design 1 interface change state diagram 2; Click "Comment" in the lower right corner of Design 1 interface change state diagram 2 to comment on the image, resulting in Design 1 interface change state diagram 3; Hover the mouse over the image in Design 1 interface change state diagram 3 and scroll the mouse wheel inward to zoom in on the image, resulting in Design 1 interface change state diagram 4; Drag the "Draw Thick Line" button on the right side of Design 1 interface change state diagram 4 to obtain Design 1 interface change state diagram 5. Design 2's main view is the product homepage; clicking on the image name in the left-hand list of Design 2's main view displays the original image and its label box, resulting in Design 2's interface change state diagram 1; entering text in the input box in the lower right corner of Design 2's interface change state diagram 1 results in Design 2's interface change state diagram 2; clicking "Comment" in the lower right corner of Design 2's interface change state diagram 2 allows you to comment on the image, resulting in Design 2's interface change state diagram 3; hovering the mouse over the image in Design 2's interface change state diagram 3 and scrolling the mouse wheel inwards zooms in on the image, resulting in Design 2's interface change state diagram 4; dragging the "Background Transparency" indicator on the right side of Design 2's interface change state diagram 4 results in Design 2's interface change state diagram 5. Design 3's main view is the product homepage; clicking on the image name in the left-hand list of Design 3's main view displays the original image and its label box, resulting in Design 3's interface change state diagram 1; entering text in the input box in the lower right corner of Design 3's interface change state diagram 1 results in Design 3's interface change state diagram 2; clicking "Comment" in the lower right corner of Design 3's interface change state diagram 2 allows you to comment on the image, resulting in Design 3's interface change state diagram 3; hovering the mouse over the image in Design 3's interface change state diagram 3 and scrolling the mouse wheel inwards zooms in on the image, resulting in Design 3's interface change state diagram 4; clicking the label selection box on the right side of Design 3's interface change state diagram 4 deselects the label box for that image, resulting in Design 3's interface change state diagram 5. 8. Other situations requiring explanation: Other explanation: The gray blocks in the interface represent replaceable content screens.

The invention discloses a medical record digital generation management method, a medical record digital generation management system and a medical record digital generation management product, and solves the problems of limited automation degree, insufficient data processing capability, limited verification range and lack of full-process management in the prior art. According to the application, the medical record records in the hospital information system and the electronic medical record system are automatically obtained by using the RPA technology, and the basic information in the medical record is extracted; automatically creating the extracted basic information as to-be-scanned medical record processing data, and filling a predefined field of a medical record management system with the to-be-scanned medical record processing data; receiving a digital image of a paper medical record material, extracting recognizable text information from the digital image by using an OCR technology, generating a recognition result, extracting an image name through LLM and NLP technologies, and performing cataloguing by using the image name; and carrying out first-time comprehensive verification on the eye-classified medical record by utilizing the AIAgent according to legal specifications and pre-processing configuration, and filing and storing digital data of the medical record after the two-time verification is passed.

The present invention discloses an image processing method and system, wherein the method includes: a front terminal receives an input image and reads image information, performs denoising and binarization preprocessing on the image, and then outputs it; a back terminal receives the preprocessed image, reads a user's processing request, performs a unique identification encoding operation on the image, and standardizes the encoding image; the entire processing link is deeply learned, fixed, and saved, and a batch file is executed in the above manner. In the batch file, the image name is input as parameter information to complete the image processing process; an identification code is added to the processed image and saved on a local disk; the back terminal transmits the image with the identification code to the front terminal and then transmits it to the user. In this method, by performing unique identification encoding and standardized naming operations on the image, the uniqueness of the image and the processed image can be ensured without the user logging in.

The application discloses a method and device for copying an image, and relates to the technical field of cloud computing. A specific embodiment of the method comprises the following steps: receiving an image file downloading request sent by a terminal, wherein the image file downloading request carries an image name; creating a first directory according to the image name, downloading an image layer information table file and each layer file from a source image warehouse, and storing the image layer information table file and the each layer file under the first directory; compressing and encrypting the first directory to obtain an image compressed file; and returning the image compressed file to the terminal. The embodiment can solve the technical problems of time consumption, occupation of file system resources and security risks.