Abstract: Some embodiments of this application disclose a method and device for locating a target region on an image, and a computer-readable storage medium. The method includes: obtaining coordinates of target points in a to-be-detected image based on a feature point recognition model; and locating the target region based on the coordinates of the target points. The to-be-detected image includes an unstably imaged target region. A target object in the target region includes a stably imaged first section and an unstably imaged second section. The target points include a feature point on the first section. The method can improve accuracy and efficiency of locating the target region.

Abstract: Provided are a defect detection method and apparatus, and a computer-readable storage medium. Specifically, the method includes: obtaining a to-be-detected image; obtaining a feature map of the to-be-detected image based on the to-be-detected image, where the feature map of the to-be-detected image includes a feature map of spatial position coordinate information; and performing defect detection on the to-be-detected image based on the feature map of the to-be-detected image. By modifying a neural network structure of defect detection and extracting the feature map of spatial position coordinate information during the detection, this application makes the neural network for use of defect detection sensitive to a spatial position, thereby enhancing sensitivity of a detection neural network to the spatial position, and in turn, increasing accuracy of detecting some specific defect types by the detection neural network, and increasing accuracy of defect detection.

Abstract: Embodiments of this application provide a method for detecting a target point in an image. The method may include: obtaining an image under test, where the image under test may include a structure-stable first target object and a structure-unstable second target object; and processing the image under test based on a target point detection model to obtain a target point in the image under test, where the target point may include a feature point on the structure-stable first target object and a feature point on the structure-unstable second target object.

Abstract: A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.

Abstract: An image processing method includes searching for a next pixel of a skeleton branch of a target image based on an already-searched current pixel of the skeleton branch, and determining whether the skeleton branch is a burr branch based on a number of already-searched pixels of the skeleton branch.

Abstract: The present disclosure provides an adapter circuit including a bus capacitor, a PMOS power transistor, and a sampling control module; a positive terminal of the bus capacitor is connected to a DC bus voltage, and a negative terminal of the bus capacitor is connected to a drain of the PMOS power transistor; a gate of the PMOS power transistor is connected to a drive signal, and a source of the PMOS power transistor is grounded; the sampling control module is used to obtain the drive signal by detecting an AC mains input voltage and a power-down voltage when the bus discharges, so as to turn off the PMOS power transistor after the AC mains input voltage reaches a peak value, and turn on the PMOS power transistor after the power-down voltage reaches a set voltage; the drive signal includes a PMOS Turn-on signal and a PMOS Turn-off signal.

Abstract: Disclosed, in one embodiment, are a method and device for detecting imaging consistency of a system, and a computer storage medium. The method includes: determining a target region in an image acquired by the system, where the target region is a partial region that includes a target object in the image acquired by the system; obtaining first image information of the target region; and detecting the imaging consistency of the system based on the first image information. By obtaining the first image information of the target region in the image acquired by the system and determining the imaging consistency of the system based on the first image information, this application can effectively detect the imaging consistency of the system and improve accuracy of product detection.

Abstract: A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.

Abstract: An image processing method includes searching for a next pixel of a skeleton branch of a target image based on an already-searched current pixel of the skeleton branch, and determining whether the skeleton branch is a burr branch based on a number of already-searched pixels of the skeleton branch.

Abstract: Disclosed in the present invention is a high-strength double-sided stainless steel clad sheet, including a substrate layer, and stainless steel clad layers clad-rolled on double sides of the substrate layer. The substrate layer consists, in mass percent, the chemical elements: C: 0.03-0.12%, 0<Si?0.30%, Mn: 0.2-1.0%, Al: 0.02-0.04%, Ti: 0.01-0.03%, Nb: 0.005-0.020%, and N: 0.003-0.006%, with the balance being iron and other inevitable impurities. Also disclosed in the present invention is a manufacturing method for the high-strength double-sided stainless steel clad sheet, including the steps of: (1) obtaining the substrate layer and the stainless steel clad layer; (2) billet making; (3) clad-rolling; and (4) solution annealing and pickling treatment: controlling the solution temperature to be 950-1020° C., and then cooling down to room temperature at an average cooling rate of 20-50° C./s.

Abstract: The present application relates to an image processing method and system. The method includes: determining an enhanced image of a target object of an input image based on a segmentation algorithm, where the enhanced image of the target object comprises an image in which each pixel classified as the target object is displayed in an enhanced manner; and determining a positioning image of the target object by applying an integral image algorithm to the enhanced image of the target object.

Abstract: The present application discloses a method for inspecting a battery tab, the method including: obtaining a sectional view of a plurality of layers of tabs of a battery; identifying and analyzing the sectional view to obtain a plurality of connected domains, where each connected domain includes one tab or a plurality of tabs that are bonded with each other; determining, based on positions and a number of intersection points of tab bonding in each connected domain, a number of layers of tabs corresponding to the connected domain; calculating a total number of layers of the plurality of layers of tabs in the sectional view based on the number of layers of tabs corresponding to the connected domain; and determining, based on the total number of layers of tabs and a preset real number of layers of tabs, whether the plurality of layers of tabs are folded.

Abstract: A Pseudomonas monteilii strain with salinity-alkalinity tolerance is provided. The strain is Pseudomonas monteilii 9-2, which has been deposited in China General Microbiological Culture Collection Center (CGMCC) on Oct. 25, 2021, with an accession number of CGMCC No. 23666; and an internal transcribed spacer (ITS) sequence is shown in SEQ ID NO: 1. This application further provides an application of the Pseudomonas monteilii strain in the degradation of petroleum hydrocarbons in a saline-alkali environment.

Abstract: Systems and methods for upgrading the firmware of a wireless communication device (202). A wireless communication device (202) may comprise a first processor (204) and a first memory (206) configured to receive monitored data from one or more sensors (210), and wirelessly communicate the received monitored data.

Abstract: The present application relates to an unfolding device of sofa, including a base. A side plate is provided above the base, and a connecting rod assembly is connected between the side plate and the base; the side plate is provided with a mounting assembly for connecting to a sitting portion; a footrest assembly and a backrest connecting member is mounted on and rotatably connected with the side plate; the base is provided with a driving assembly, configured for driving the footrest assembly to rotate and the side plate to move towards a front of the unfolding device.

Abstract: A method for training a cell defect detection model includes training a defect classification model that includes an output layer using a plurality of first sample images so that a defect classification model obtained through training is capable of predicting a plurality of first-preset-category defects of a cell, inputting a second sample image to a defect classification model with at least an output layer removed to obtain a sample feature vector of the second sample image, inputting the sample feature vector of the second sample image to a backbone model to obtain a predicted defect classification result of the second sample image, and adjusting, based on a second-preset-category defect and the predicted defect classification result of the second sample image, parameters of the backbone model and the defect classification model with at least the output layer removed.

Abstract: The present application discloses a method for inspecting a battery tab, the method including: obtaining a sectional view of a plurality of layers of tabs of a battery; identifying and analyzing the sectional view to obtain a plurality of connected domains, where each connected domain includes one tab or a plurality of tabs that are bonded with each other; determining, based on positions and a number of intersection points of tab bonding in each connected domain, a number of layers of tabs corresponding to the connected domain; calculating a total number of layers of the plurality of layers of tabs in the sectional view based on the number of layers of tabs corresponding to the connected domain; and determining, based on the total number of layers of tabs and a preset real number of layers of tabs, whether the plurality of layers of tabs are folded.

Abstract: The present application relates to an image processing method and system. The method may include: acquiring a sequence of input images containing a target object; and performing multi-resolution fusion on the sequence of input images to generate a single fused image, where pixels of the fused image may include a pixel at a corresponding position of an input image in the sequence of input images, and each pixel of the fused image containing the target object may include a pixel at a corresponding position of an input image in the sequence of input images in which part of the target object is focused.

Abstract: The present application relates to an image processing method and system. The method includes: determining an enhanced image of a target object of an input image based on a segmentation algorithm, where the enhanced image of the target object comprises an image in which each pixel classified as the target object is displayed in an enhanced manner; and determining a positioning image of the target object by applying an integral image algorithm to the enhanced image of the target object.

Abstract: The present application relates to an unfolding device of sofa, including a base. A side plate is provided above the base, and a connecting rod assembly is connected between the side plate and the base; the side plate is provided with a mounting assembly for connecting to a sitting portion; a footrest assembly and a backrest connecting member is mounted on and rotatably connected with the side plate; the base is provided with a driving assembly, configured for driving the footrest assembly to rotate and the side plate to move towards a front of the unfolding device.