399 results about "Object processing" patented technology

The invention provides an image layering and semantic segmentation method based on prior information. The method comprises the following steps: step 1, acquiring an X-ray image under a security inspection machine as a data set; step 2, rectangular frame labeling is carried out on contraband articles in the pictures in the data set, and clear boundary information is provided for each object; step 3, selecting a BoxI nst model; 4, training the selected BoxI nst model by using the marked data set, so that the BoxI nst model can learn how to generate an accurate mask from a rectangular frame; through training, the BoxI nst model can effectively identify and segment contraband articles in the X-ray image. And 5, optimizing and evaluating the model. The small object detection capability is remarkably improved, the positioning precision is improved, the processing speed is increased, and the overlapped object processing capability is enhanced, so that the defects of detecting contraband articles in a complex scene in the prior art are overcome, and a more efficient and accurate solution is provided for real-time safety detection.

Embodiments of the present disclosure relate to an object processing method, apparatus, readable medium, and electronic device. The method includes: obtaining a target object to be processed, determining the object type of the target object, determining the task type corresponding to the target task for processing the target object, and inputting the target object, object type, and task type into a pre-generated target model to obtain a target result output by the target model; wherein, the target model may include a feature extraction module, multiple object segmentation modules, and multiple task processing modules, different object segmentation modules respectively correspond to different object types, and different task processing modules correspond to different task types. In this way, different types of target objects and different types of target tasks can be processed through a unified target model, which facilitates model training and iteration, reduces the cost of model deployment, and improves the efficiency of model deployment.

A distribution system for use in an induction system with an object processing system. The distribution system provides dissimilar objects into one of a plurality of receiving units. The distribution system includes an air intake system with an opening that is a fixed distance from a conveyor section, said air intake system aiding in moving an object on the conveyor section from the conveyor section to one of a plurality of adjacent transport units.

The embodiment of the invention provides a software object processing method and device, equipment and a storage medium. In response to an editing operation on a first software object, converting the state information of the first software object into set structured data; executing the editing operation on the structured data to obtain the edited structured data; and generating an edited first software object based on the edited structured data. According to the software object processing method provided by the embodiment of the invention, the software object is controlled by executing the editing operation on the structured data of the software object, the use scene of the software object is widened, and the consistency and correctness of the editing operation can be ensured.

Embodiments of the present disclosure provide a method, device, and medium for training a large scale object foundation model. The method comprises obtaining a training dataset comprising a plurality of subsets for a plurality of object perception tasks, wherein a sample in the training dataset comprises an image with an object, a prompt indicating the object, and labeled object perception information of the image. The method further comprises generating, by the image encoder, an image feature based on the image. The method further comprises generating, by the text encoder or the visual prompt encoder, a prompt embedding based on the prompt. The method further comprises generating, by the object decoder, object perception information of the object based on the image feature and the prompt embedding. In addition, the method further comprises training the object processing model based on the generated object perception information and the labeled object perception information.

The invention relates to the field of feeding lathes, and discloses a multi-directional machining system for a feeding lathe, which comprises a rack used for supporting a whole device, a main shaft is arranged on the inner wall of the rack, a frame body is arranged on the upper surface of the rack, and a movable turning tool is arranged on the upper surface of the rack; the lateral machining mechanism is arranged on the side, away from the movable turning tool, of the upper surface of the rack; and the opposite machining mechanism is arranged on the side, away from the main shaft, of the upper surface of the rack, is used for machining the workpiece and can drive the workpiece to move, the opposite machining mechanism comprises a first moving rail, and a second moving rail is installed at the upper end of an output shaft of the first moving rail. According to the machining device, the auxiliary shaft assembly is arranged in the object machining mechanism, in the machining process, a workpiece can be pulled out of the interior of the main shaft through an auxiliary shaft, then the workpiece can be cut off through a turning tool, and then the workpiece can be driven to be close to the third power head through the auxiliary shaft to achieve machining of a shielding area.

Embodiments of the present invention provide an image processing method, an image processing model training method, and an image segmentation method. The image processing method comprises: acquiring an image to be processed, a reference image and prompt information, wherein the reference image is used for providing an object reference feature of a first-type object, and the prompt information is used for providing an object prompt feature of a second-type object; generating a task processing instruction on the basis of the image to be processed, the reference image and the prompt information, wherein the task processing instruction is used for describing an object processing mode of the first-type object in the image to be processed, and the object processing mode is obtained on the basis of the object reference feature and the object prompt feature; and using an image processing model to determine, on the basis of the task processing instruction, an object processing result of the first-type object in the image to be processed. By newly adding prompt information of other types, richer and more comprehensive guidance information is provided, thereby avoiding being limited by the reference image, and improving the processing accuracy of the image processing model.

The application relates to the technical field of water surface floating object processing, in particular to a water surface floating object identification method in a complex scene. The specific steps are as follows: network model structure design: the Yolov7 algorithm is a target detection algorithm proposed in 2022, and test results on a COCO data set show that the algorithm is superior to YOLOR, YOLOX, Scaled-YOLOv4 and YOLOv5 in terms of speed and accuracy. The detection problem of the water surface floating object is further analyzed, and a target detection algorithm Yolov7-FC fusing an attention mechanism is proposed, the network structure of the algorithm comprises a Backbone layer, an Attention layer, an FPN layer and a Head layer; the network optimization method comprises a loss function and image preprocessing; the application provides a water surface floating object identification algorithm fusing an attention mechanism, the water surface floating objects in different scenes are subjected to identification test, the identification accuracy and recall rate are improved, the test is carried out by using an offline small mobile platform, and the water surface floating object identification method in the complex scene meets the demand of a shipborne platform for realizing real-time detection.

The invention provides an object processing method and device, equipment and a storage medium, and the method comprises the steps: displaying an object page on a first page, the object page is used for displaying at least one object in a recommended object set, a target object is an object in a target state in the recommended object set, and the target object is an object in a target state in the recommended object set; if a target information updating message for the target object is detected, whether the target object is currently displayed on the object page or not is determined, if it is determined that the target object is not currently displayed on the object page, a target interaction control is displayed on the object page, and the target interaction control is used for triggering display of the target object on the object page. In the embodiment of the invention, the target interaction control is triggered and displayed through the target information updating message of the target object, so that a user can conveniently trigger and display the target object through the target interaction control and check the updating information of the target object in time, the interaction complexity is simplified, and the user experience is promoted.

A system and a method for Gen AI powered migration of legacy applications is provided. This technology processes an input file comprising application code objects associated with a legacy application code by populating data present in the input file in response to triggering of an event. The application code objects are validated to modify the application code objects present in the input file based on an outcome of validation. The processed input file is integrated with a target application to perform a check of the application code objects present in the processed input file iteratively by using one or more recommended variants associated with the target application. An outcome of check is extracted as a check file and a non-remediated version of the legacy application code for generating prompts. The generated prompts are executed iteratively for remediating the non-remediated version of the legacy application code for migration.

The invention relates to the technical field of data processing, in particular to a pandas-based cross-database query method, system and device and a medium. The method comprises the following steps: configuring and storing database connection information, receiving a cross-database query request, and decomposing the cross-database query request into sub-query requests; establishing database connection according to the sub-query and connection information, executing query by using a pandas function, and storing a result as a DataFrame object; processing the problem that data types and field names are inconsistent, and associating a plurality of DataFrame objects to generate a final result; and outputting the result in a specified format. The system comprises a configuration module, a request processing module, a query execution module, a data integration module and a result output module. According to the method, the efficient processing capacity of the pandas is utilized, and the query performance is improved; multiple databases are supported, and the development difficulty and cost are reduced; consistency and integrity are guaranteed in data integration, and data problems are avoided.

The invention provides a live broadcast object processing method and device, equipment and a storage medium, and the method comprises the steps: displaying first state information corresponding to a target live broadcast object on a live broadcast room page, the target live broadcast object being a live broadcast object being explained, and the target live broadcast object being configured with a target moving object having preset moving time information, the first state information is used for representing that the target moving object is in a first moving state in the multiple moving states, the first state information is controlled to be switched to display second state information, and the second state information is used for representing that the target moving object is in a second moving state in the multiple moving states. Visibly, according to the embodiment of the invention, the target live broadcast object configured with the target moving object with the preset moving time information is displayed on the live broadcast room page, and the state information of the target moving object is controlled to be switched and displayed when the moving state of the target moving object is changed, so that the live broadcast object processing modes are enriched, and the user experience is improved.

Systems and methods are disclosed for data extraction. One or more processors may receive an interaction data object containing text data and generate an intent data object with high-level and granular intent indicators using a trained intent classification machine-learning model. The processors may also generate a subject data object using a trained subject classification machine-learning model. The processors may select a target model bundle from multiple bundles based on the granular intent indicator, and the target bundle contains machine-learning models trained to extract signals from the text data. By applying the interaction data object to the target model bundle, the processors may generate a signal data object with signal indicators. The processors may modify a curated data object by changing data entries based on the generated intent, subject, or signal data objects.

A carrier system is disclosed for use in an object processing system. The carrier system includes a carrier body including a plurality of containment areas for respectively receiving a plurality of objects at a loading station, a motion actuator for moving the carrier body from the loading station to a distribution area, and an ejection actuation system for actuating the carrier body to deposit each of the plurality of objects into different destination locations.

The invention relates to the technical field of length measurement and operation control, and provides an automatic length measurement and operation control system for object processing, which acquires length measurement data of an object through a data acquisition module, executes a length calibration mechanism, and ensures that the operation can be accurately performed according to the actual size of the object during each processing; the operation control module controls an operation path and an operation position of target equipment through an operation adjustment strategy according to length measurement data of an object, the object is machined, the machining process of the object is finer and more accurate by controlling the operation path and the operation position, and errors and waste are reduced; and the feedback adjustment module monitors whether the operation position of the target equipment has an error in the object processing process so as to adjust the initial operation path.

Embodiments of the present disclosure provide techniques for mountless querying of listing data. A processing device obtains a query that includes a universal listing identifier of a database, wherein the universal listing identifier is different from an identifier for the database. The processing device activates, at runtime, at least one role for accessing the database and shared objects based on the universal listing identifier. The processing device generates, based on the universal listing identifier and the at least one activated role, an in-memory placeholder object associated with the database. The processing device provides access to data of the database based on the in-memory placeholder object and the query.

A method and a system for improving neural network training in object processing. The method comprises: receiving, from an object classification process using scene images of objects in an object processing facility, a set of segmented and classified objects captured during a pre-determined period; grouping the object images of the segmented and classified objects by a grouping routine based on their visual likeness to generate grouped object images, the grouping routine comprising at least one neural network; evaluating the objects of the object images based on comparison scores by a comparison routine, and generating a plurality of object sequences; and executing, by an automated learning routine, unsupervised and semi-supervised learning tasks by using the plurality of object sequences.

The invention provides a live broadcast object processing method and device, equipment and a storage medium, and the method comprises the steps: displaying a live broadcast object set page on a live broadcast room page, the live broadcast object set page comprises a first display area and a second display area, and responding to a preset interaction operation for a live broadcast object in the first display area, and adding the live broadcast object to the candidate live broadcast object set, displaying set information in the second display area, and in response to a trigger operation for the first interaction control in the second display area, executing interaction processing corresponding to the second interaction control on the live broadcast object in the candidate live broadcast object set. According to the embodiment of the invention, the situation that the live broadcast object is added into the candidate live broadcast object set can be displayed on the live broadcast object set page, and the interaction processing corresponding to the first interaction control is triggered and executed on the live broadcast object in the candidate live broadcast object set on the live broadcast object set page, so that the processing modes of the live broadcast object are enriched; and the user requirements are met.

The invention provides a recommended object processing method and device, equipment and a storage medium, and the method comprises the steps: displaying an object display page, responding to the display position adjustment of a recommended object in an object display region, determining a currently positioned first-level label as a first target first-level label, and displaying the first target first-level label on the display position of the recommended object in the first target first-level label; and if it is detected that a first target recommendation object under a first target second-level label corresponding to the first target first-level label is displayed to a first target display position in the object display area, controlling the currently positioned first-level label to be switched to a second target first-level label, and displaying a corresponding recommendation object in the object display area. When the display position of the recommended object in the object display area is adjusted, it is detected that the first target recommended object is displayed to the first target display position, the first target first-level label is controlled to be switched to the second target first-level label, and the corresponding recommended object is displayed, so that related interaction modes of the recommended object are enriched, and the user experience is improved. And the user experience is improved.

The invention relates to a long object processing device. The present invention is provided with: a conveyance device (20) that conveys a long material (2) in a conveyance direction (A); a processing device (30) for processing the long material (2); a control device (60) that controls the operation of the conveyance device (20) and the processing device (30), causes the processing device (30) to continuously process the long material (2) in the conveyance direction, and causes the processing device (30) to process the long material (2) by changing a plurality of different processing conditions over time during the continuous processing; a reference position detection device (22A) that detects a reference position (Re) that serves as a reference for the long material (2); a transport amount detection device (21) that detects the transport amount of the long material (2) from the reference position (Re) in the transport direction (A); and a storage device (70) that stores the processing conditions acquired from the control device (60) in association with the amount of conveyance from the reference position (Re) acquired from the amount of conveyance detection device (21), in units of the amount of conveyance, for the long product (1) processed and manufactured by the processing device (30).

Described herein are methods, systems, and media for supporting multi-language user sessions and fulfillments comprising: maintaining a repository of fulfillment objects each comprising a language and a region; establishing a user session with a user; determining a user region for the user in association with establishing the user session; identifying one or more fulfillment objects in the repository available for the user region; processing the user session, the user session comprising one or more user requests; applying a language detection model to each request to determine a user request spoken language; applying an understanding module to each request to recommend one or more of the fulfillment objects matching the region for the user; and rendering a response to each request to the user, utilizing the one or more of the fulfillment objects matching the region for the user, in the user request spoken language.

The application discloses an object processing method and device, electronic equipment and storage medium, and relates to the technical field of network. An object sharing request of an object sharing initiator is received, the object sharing request carries identification information of an object, content information of the object is obtained based on the identification information, the content information of the object is processed by format conversion by using an object processing system, resource address generation and storage processing are performed, activity information is returned to an object sharing acquirer in response to an activity information acquisition request sent by the object sharing acquirer, and a resource address of the object is returned to the object sharing acquirer in response to an object acquisition request sent by the object sharing acquirer. The above method can split the activity information and the content information of the object after format conversion into two data packets to be delivered, reduce the size of a single data packet, and reduce the possibility of being discarded by a long link system.

The present disclosure provides an object processing method, an apparatus, a device and a storage medium. The method comprises: presenting on a target page a target multimedia resource and a plurality of recommendation objects; and then, in response to a preset trigger operation for a target recommendation object amongst the plurality of recommendation objects, jumping from the target page to display a resource detail page corresponding to a target resource object, and displaying on the resource detail page an object detail page corresponding to the target recommendation object. The embodiments of the present disclosure support presenting the plurality of recommendation objects corresponding to the target resource object during the process of presenting recommendation resource content of the target resource object, such that users can trigger presentation of object information of any recommendation object on the basis of the plurality of recommendation objects.

Embodiments of the present specification provide an object processing method and device, wherein the object processing method comprises: determining a first to-be-detected object corresponding to a first detection task; in a case where it is determined that the first to-be-detected object meets a task execution condition of the first detection task, determining a related parameter of the first to-be-detected object; determining a target data acquisition statement corresponding to the first to-be-detected object according to the related parameter of the first to-be-detected object; and acquiring data corresponding to the first to-be-detected object by using the target data acquisition statement, and performing detection on the data corresponding to the first to-be-detected object to obtain a data detection result. Through pre-checking of the to-be-detected object, false positives in detection are avoided, thereby improving detection efficiency and ensuring data quality.

Disclosed is an object processing system comprising: a movement system for moving from a proximal base toward a plurality of objects to be processed; and a programmable motion device supported on a mobile system at a proximal end of the programmable motion device, the programmable motion device comprising an end effector at a distal end thereof, the end effector includes a first stationary portion that remains stationary relative to the distal end of the programmable motion device and a second movable portion that moves relative to the first stationary portion, the second movable portion for contacting at least one object of the plurality of objects, the moving system is configured to push the at least one object of the plurality of objects toward the moving system.

The invention relates to a model training method, an object processing method and corresponding devices, and the model training method comprises the steps: determining initial models with different model performances, the initial models being used for processing at least one processing task; and determining a reward model and a to-be-trained model in the initial model according to the model performance of the initial model, and performing reinforcement learning according to the reward model, the to-be-trained model and preset sample data to obtain a target model. Through the above scheme, the reward model and the to-be-trained model can be determined according to the model performance of the initial model, and reinforcement learning is performed according to the reward model, the to-be-trained model and the preset sample data to obtain the target model. The reward model disclosed by the invention is screened and determined in the initial model according to the model performance of the initial model, so that when reinforcement learning is carried out based on the scheme disclosed by the invention, the labeling amount of training sample data can be reduced, the training process of the model is simplified, and the training efficiency of the model is improved.

The embodiment of the invention provides a data processing method and system.The data processing method comprises the steps that region feature data and a user associated with a target region are determined, and candidate objects are determined based on the region feature data and user data of the user; generating object features based on the candidate objects and the regional feature data, and generating user features based on the user data and the regional feature data; and inputting the object features and the user features into an object processing model to obtain a candidate object sequence, and updating the candidate object sequence based on a region object set associated with the target region to obtain a target candidate object sequence.

This invention discloses a precision high-frequency forming wheel and its manufacturing method, applied in the field of forming wheel technology. By setting up a forming mechanism, the main grinding component can process an object into a thinner shape when used alone; the auxiliary grinding component can process the surface of the object when used alone; the side grinding component can process the outer edge of the object when used alone; the edge grinding component can cooperate with the side grinding component and the main grinding component to process the object into a thicker shape; and the bottom grinding component can cooperate with the edge grinding component, the side grinding component, and the main grinding component to process the object into a spherical shape. Through various combinations, multiple different processing methods can be achieved on the object, improving the flexibility of object processing.

To provide a device for displaying a virtual object capable of enhancing the presence of a user even in a situation where the virtual object cannot be visually recognized, and a display method thereof.SOLUTION: A head-mounted display (HMD) 1 that displays a virtual object includes a map information processing unit that extracts a first map element corresponding to position information and a second map element corresponding to a predetermined pattern from map data, a virtual object processing unit that arranges the virtual object on a real object in a real space corresponding to the first map element, and an auxiliary information processing unit that generates a map element object corresponding to the second map element. An information processing device includes a display processing unit that makes a drawing method different between a portion located in front of a real object and a portion located behind the real object, and a screen that superimposes and displays a virtual object and a map element object processed by the display processing unit on a real space.SELECTED DRAWING: Figure 2

A device and method for providing information for a vehicle. The device includes an object recognition module that photographs a front image of the vehicle and recognizes an object located outside the vehicle, a processor that recognizes a road surface as a road irradiation area, a sidewalk irradiation area, and a boundary area between the road irradiation area and the sidewalk irradiation area based on the photographed front image, and separately generates a driving information image and a walking information image based on the photographed front image, and an image output module that irradiates the driving information image adjusted to a size corresponding to the road irradiation area to the road irradiation area and irradiates the walking information image adjusted to a size corresponding to the sidewalk irradiation area to the sidewalk irradiation area.