Internal Ladder Assembly for a Wind Turbine Rotor Hub

A rotor hub for a wind turbine may generally include a hub body defining both a plurality of blade flanges and a plurality of access ports spaced apart from the blade flanges. In addition, the rotor hub may include a ladder assembly extending within an interior of the hub body. The ladder assembly may include a plurality of platforms, with each platform defining a planar surface and being circumferentially aligned with a respective one of the plurality of access ports. The ladder assembly may also include a connecting frame extending between each pair of adjacent platforms so as to couple the adjacent platforms to one another. The connecting frame may extend lengthwise along a reference line defined between the adjacent platforms. The platforms may be positioned relative to one another such that the reference line extends at a non-perpendicular angle relative to the planar surfaces defined by the adjacent platforms. 1. A rotor hub for a wind turbine , the rotor hub comprising:a hub body extending between a forward end and an aft end, the hub body defining a plurality of blade flanges between the forward and aft ends, the hub body further defining a plurality of access ports spaced apart from the blade flanges; and a plurality of platforms, each platform being positioned within the interior of the rotor hub so as to be circumferentially aligned with a respective one of the plurality of access ports, each platform defining a planar surface; and', 'a connecting frame extending between each pair of adjacent platforms so as to couple the adjacent platforms to one another, the connecting frame extending lengthwise along a reference line defined between the adjacent platforms,', 'wherein the platforms are positioned relative to one another such that the reference line extends at a non-perpendicular angle relative to the planar surfaces defined by the adjacent platforms., 'a ladder assembly extending within an interior of the hub body, the ladder assembly comprising2. The ...

Six axis robot driver control circuit

The utility model belongs to the drive control field, concretely relates to six axis robot driver control circuit. Motor moving response in order to make every is faster, and the precision is better, the utility model discloses a six axis robot driver control circuit include core processor, operation ware, 6 spindle drive wares and with 6 6 shaft encoder that individual spindle drive ware corresponds, 6 individual shaft encoder is connected to the core processor, it can correspond by parallel processing 6 the data of the encoder of individual axle, the core processor pass through serial peripheral interface SPI respectively with the operation ware with 6 individual spindle drive ware is connected respectively, is the core processor model XC7Z020CLG400 1. The utility model discloses a can six axis robot driver control circuit concentrate on electric current loop, position loop, speed and the operation of electric machine control a high -end XC7Z020CLG400 1 accomplishing in the chip, making ...

Pole-mounted switch state prompter

The invention relates to a pole-mounted switch state prompter belonging to the electric field. Well-known operation related to the pole-mounted switch shows that when the state of the switch is misjudged for the mechanical prompt failure of the pole-mounted switch, or the phenomena, such as the climbing of the wrong pole and the like are caused for the wrong check of the name and the serial number of the switch, the knife switch is easily pulled with load. The pole-mounted switch state prompter is characterized by comprising a single chip microcomputer, the single chip microcomputer is connected with the secondary sides of transformers at the two sides of the switch, and the single chip microcomputer is connected with an input module and a state display module. By using the pole-mounted switch state prompter, an operator can not pull the knife switch with load through checking the name and the serial number of the switch on the operation pole for a second time and checking the real-time ...

Integrated construction safety platform that supports

The utility model discloses an integrated construction safety platform that supports, including work platform and stair passageway, this work platform comprises lower platform and the combination of aset of vertical safety protective guard pole, this work platform is that lower platform is built to the mode that adopts wooden plank and use self -tapping screw to go on fixing, installs on the offal flat pattern steel that a set of secondary structure extends outside installation guardrail and baseboard, the stand and the preparation of crossbeam adoption angle steel of guardrail, the stair passageway is prefabricated staircase or field fabrication stair, follow work platform and lay the orientation of advancing, fix one row of upper -layer water flat pattern steel in proper order above work platform on the massif, install safe anchor clamps on the shaped steel of respectively improving level, article one, life is restricted, passes the through -hole on the steel sheet clamp board upperportion ...

Prediction method and device based on typical daily network supply load curve, and storage medium

The embodiment of the invention provides a prediction method and device based on a typical daily network supply load curve and a storage medium, and the method comprises the steps: determining a target time period and a reference time period based on an air temperature factor; determining a load proportion according to a preset model and pre-collected historical scheduling power generation and receiving load data, the load proportion representing a proportion of a scheduling power generation and receiving load in a target time period and a scheduling power generation and receiving load in a reference time period; according to the historical dispatching power generation and receiving load data, a typical day is determined from the reference time period, and the typical day is the date with the maximum dispatching power generation and receiving load in the reference time period; determining a network supply load curve of a typical day according to historical scheduling power generation and ...

Virtual object mouth shape driving method, related device and medium

The invention provides a virtual object mouth shape driving method, a related device and a medium. The virtual object mouth shape driving method comprises the following steps: acquiring a face identifier of a virtual object; obtaining a target voice for driving the virtual object, wherein each time zone in the target voice corresponds to one frame in the mouth shape driving video of the virtual object; extracting voice features from the target voice, and encoding the voice features of each time zone and the position information of the time zone to obtain a first encoding string; performing transformation layer processing on the first coding string and the facial identifier to obtain an expression coefficient of the virtual object corresponding to the time zone; and performing mouth shape driving on the virtual object in a frame corresponding to the position information based on the expression coefficient corresponding to the time zone. According to the embodiment of the invention, the accuracy ...

Method and device for identifying whether standard picture contains watermark

A method for identifying whether a standard picture contains a watermark is provided. After obtaining a set of sample standard pictures, one or more sample pictures in the set of sample standard pictures are adjusted to a preset size. The sample pictures in the set of sample standard pictures do not contain watermark information. Next, an average of pixel attribute values of the sample pictures at pixel positions of the preset size is calculated. The average of the pixel attribute values at the pixel positions of the preset size is normalized to obtain the watermark-presence probabilities of the pixel positions of the preset size. Then, a target picture is adjusted to the preset size and a sum of products of pixel attribute values of the target picture at the pixel positions of the preset size and the corresponding watermark-presence probability are calculated. Finally, it is determined whether the target picture contains a watermark according to the sum of products.

Method and system for upgrading metadata

The invention provides a method for upgrading metadata. The method comprises the following steps: step 102, circulating the difference between new metadata and original metadata; and step 104, upgrading the original metadata according to the difference. The invention also provides a system for upgrading metadata. The system comprises a comparing module and an upgrading module, wherein the comparing module is used for comparing the new metadata and the original metadata to obtain the difference; and the upgrading module is used for upgrading the original metadata according to the difference obtained through comparison of the comparing module. According to the technical scheme adopted by the invention, a unified tool can be used for rapid and safe upgrading, the individual information of a user can be retained and the working efficiency of the research staff can be improved.

Production method and production line for realizing tool logistics exchange of workpiece logistics system

The invention provides a production method and a production line for realizing tool logistics exchange of a workpiece logistics system. The production method comprises the following steps: mounting a load into a workpiece logistics tray; the physical attributes of the loaded objects and workpiece logistics tray information are input into a production line management and control system; the workpiece logistics system conveys the workpiece logistics tray to the target numerical control machine tool; the exchange mechanism feeds the loaded object into the numerical control machine tool; and the numerical control machine tool receives the loaded object and performs cutter grabbing action/workpiece machining action. The workpiece logistics tray is used for bearing the tool carrier and/or the workpiece and conveying the tool and/or the workpiece, the numerical control machine tool spindle is used for grabbing the tool, replacing the tool, supplementing the tool magazine or directly machining, ...

Reader for access control management systems

The invention discloses a reader for access control management systems, which comprises a PIC main control module, a power supply module connected with the PIC main control module, a transmitting-receiving module, an RS232 communication module and an access control information exchange module, wherein the PIC main control module detects the information of electronic tags and simulates the states of access control; the power supply module supplies power to the PIC main control module; the transmitting-receiving module transmits and receives signals; the access control information exchange module realizes the display and simulated exchange of access control information, and comprises a buzzer, a tri-bit DIP switch, a first photodiode and a second photodiode; and the RS232 communication module transmits and updates data in real time. The reader can operate as a main part of a slave computer of an access control management system, completes reading and processing tag data, carries out serial ...

Double-tube jet flow uniform steam injection technology for horizontal well and assorted tool

The invention provides a double-tube jet flow uniform steam injection technology for a horizontal well and an assorted tool. The assorted tool comprises a tubular column and a tubing nipple, and is characterized in that the tubular column is positioned at the lower end of a steam injection packer and is divided into a variable-density steam injection jet flow tube and a steam injection flushing tube; the variable-density steam injection jet flow tube and the steam injection flushing tube are connected with each other through a steam injection distributor; the variable-density steam injection jet flow tube is provided with a steam injection nozzle; a high-temperature rubber cup packer is arranged on the periphery of the variable-density steam injection jet flow tube; a high-temperature centering device is arranged between the variable-density steam injection jet flow tube and the steam injection flushing tube; and a screwed plug is arranged at the position of a port of the variable-density ...

Identification and information exchange platform based on I2C structural model and communication protocol unit

The invention discloses an identification and information exchange platform based on an I2C structural model and a communication protocol unit. The identification and information exchange platform is based on the I2C structural model, comprises a plurality of PIC single chips, and also comprises that under the premise that a single chip system is commonly grounded, a networked bus-way environment which is formed by the corresponding interconnection of a data bus SDA and a time sequence bus SCL which are respectively connected with a pull-up resistor.

Power utilization growth driving force decomposition method and device considering multiple factors and storage medium

The embodiment of the invention provides a power consumption increase driving force decomposition method and device considering multiple factors and a storage medium, and the method comprises the steps: determining a first power consumption increase amount, a first driving force parameter and a second driving force parameter according to historical power demand data collected in advance, the first driving force parameter is a parameter which is directly represented by electric quantity, and the second driving force parameter is a parameter which cannot be directly represented by electric quantity; obtaining a second power utilization increment according to the historical power demand data, the first power utilization increment and the first driving force parameter; and determining the electric quantity corresponding to the second driving force parameter according to the second power utilization increment and the second driving force parameter. The technical scheme provided by the invention ...

KEY POINT POSITIONING METHOD, TERMINAL, AND COMPUTER STORAGE MEDIUM

When a target image is captured, the device provides a portion of the target image within a target detection region to a preset first model set to calculate positions of face key points and a first confidence value. The face key points and the first confidence value are output by the first model set for a single input of the portion of the first target image into the first model set. When the first confidence value meets a first threshold corresponding to whether the target image is a face image, the device obtains a second target image corresponding to the positions of the first face key points; the device inputs the second target image into the first model set to calculate a second confidence value, the second confidence value corresponds to accuracy key point positioning, and outputs the first key points if the second confidence value meets a second threshold. 1. A facial key point positioning method , comprising: in a user interface of an image capturing application, displaying a target detection region for facial recognition at a location in a field of view of a camera represented in the user interface;', 'in accordance with a determination that a first target image is captured, providing a portion of the first target image within the target detection region to an input layer of a preset first model set to calculate positions of a first set of face key points and a first confidence value, wherein the first set of face key points and the first confidence value are output by the preset first model set for a single input of the portion of the first target image into the preset first model set;', obtaining a second target image corresponding to the positions of the first face key points in the target detection region;', 'inputting the second target image into the preset first model set to calculate a second confidence value, the second confidence value corresponds to accuracy of the positions of the face key points; and', 'in accordance with a determination that ...

Lightning protection device's layout structure suitable for photovoltaic power plant of family uses

The utility model discloses a lightning protection device's layout structure suitable for photovoltaic power plant of family uses, it includes at least one lightning -arrest mechanism, but lightning -arrest mechanism includes lightning -arrest of insulating tube, locating lever and ground connection, the highest portion at the photovoltaic power plant's of family support is installed to the insulating tube, the locating lever cartridge is in the insulating tube, lightning -arrest bottom pass through fastening components and connect on the locating lever. The utility model discloses not only can install the photovoltaic power plant in the family, moreover can be effectively insulating with the support to realize that existing effect is lightning -arrest, easy to assemble again.

Photovoltaic power plant lightning protection device's of family layout structure suitable for tiling roof uses

The utility model discloses a photovoltaic power plant lightning protection device's of family layout structure suitable for tiling roof uses, it includes at least one lightning -arrest mechanism, but lightning -arrest mechanism includes lightning -arrest of mounting and ground connection, lightning -arrest mechanism is located the top of the highest portion of the photovoltaic power plant's of family support, and lightning -arrest mechanism and the photovoltaic power plant of family are disconnect -type mounting structure, the mounting have with roof ridge assorted checkpost, the mounting clamps on the roof ridge through the checkpost, lightning -arrest bottom is passed through fastening components and is installed on the mounting. The utility model discloses can complete independence in the photovoltaic power plant of family ground connection, with the photovoltaic power plant complete independence, connect the earth respectively on electric to the phenomenon that the photovoltaic power ...

Face model matrix training method and apparatus, and storage medium

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

RFID access control management system based on PIC single-chip microcomputers

The invention discloses an RFID access control management system based on PIC single-chip microcomputers, which comprises an electronic tag, an antenna, a reader and a PC, wherein the electronic tag comprises a first PIC main control module, a first ID setting module connected with the first PIC main control module, a first power supply module and a data-sending control module; the first power supply module and the data-sending control module are both connected with a second antenna; the reader comprises a second PIC main control module, a second power supply module connected with the second PIC main control module, a transmitting-receiving module, an RS232 communication module and an access control information exchange module; the transmitting-receiving module is also connected with the first antenna; the first antenna and the second antenna transmit data and energy through inductive coupling; and the PC realizes the storage and statistics of data so as to manage the system. The system ...

Electrical control system and control method for steel rail refining mill

The invention discloses an electrical control system and a control method for a steel rail refining mill; the electrical control system comprises a console, a touch control terminal, a PLC controller, a relay control unit, a motor control unit, a driving control unit, a slope function generator and an oil pump hydraulic control unit with an oil pump motor, and the console is connected with the input end of the PLC controller; the touch control terminal is connected with an RS232 serial port of a PLC through a communication cable so as to establish communication; the output end of the PLC controller is respectively connected with the relay control unit, the motor control unit, the driving control unit, the slope function generator and the hydraulic control unit; the relay control unit is connected with a cooling pump, a dust collecting motor and an air compressor; the driving control unit comprises a variable frequency controller and two servo controllers; the variable frequency controller ...

FACE MODEL MATRIX TRAINING METHOD AND APPARATUS, AND STORAGE MEDIUM

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Extra-high-temperature and high-pressure perforating gun

The invention relates to an ultrahigh-temperature high-pressure perforating gun. The problem that an existing perforating gun cannot meet the requirement for high-temperature and high-pressure oil well perforating operation is mainly solved. The gun is characterized in that the two ends of the gun body (5) are connected with the connector through threads (3), the threads (3) are taper threads, and the taper of the threads is 1: 16; the taper of a main sealing surface (4) at the joint of the end part of the joint and the gun body (5) is 1: 5; and an inclined auxiliary sealing surface (2) is arranged at the joint of the root part of the joint and the gun body (5). The ultrahigh-temperature and high-pressure perforating gun is better in temperature resistance and pressure resistance, and can meet the requirements of high-temperature and high-pressure oil well perforating operation with the temperature of 260 DEG C and the pressure resistance of 200 MPa.

Method, apparatus, system, and storage medium for detecting information card in image

A method for detecting an information card in an image is provided. The method includes performing a line detection to obtain two endpoints of a line segment corresponding to each of four sides of the information card; generating, a linear equation of the side; obtaining coordinates of four intersection points of the four sides of the information card; mapping the coordinates of the four intersection points to four corners of a rectangular box of the information card, to obtain a perspective transformation matrix; performing perspective transformation on image content encircled by four straight lines represented by the four linear equations to provide transformed image content; forming a gradient template according to a layout of information content on the information card; and using the gradient template to match with the transformed image content and determining whether the image content is a correct information card.

TARGET TRACKING METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data. 1. A target tracking method for a computer device , comprising:determining a target candidate region of a current image frame;capturing a target candidate image matching the target candidate region from the current image frame;determining a target region of the current image frame according to an image feature of the target candidate image;determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; anddetermining a target candidate region of the next image frame according to the target region and the motion prediction data.2. The method according to claim 1 , wherein the capturing a target candidate image matching the target candidate region from the current image frame comprises:enlarging the target candidate region in the current image frame by a preset multiple;determining a target candidate image matching the enlarged target candidate region in the current image frame; andcapturing the determined target candidate image from the current image frame.3. The method according to claim 1 , wherein the determining a target region of the current image frame according to an image feature of the target candidate image comprises:determining a target key point position ...

Method, terminal, and storage medium for tracking facial critical area

Method, terminal, and storage medium for tracking facial critical area are provided. The method includes accessing a frame of image in a video file; obtaining coordinate frame data of a facial part in the image; determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part; obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part; accessing an adjacent next frame of image in the video file; obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; and obtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data thereof.

Digital intelligent multifunctional bed

The invention discloses a digital intelligent multi-functional bed, which aims at overcoming the technical defects in the prior art such as monotonous bed patterns and large energy consumption when the environmental temperature needs regulating, provides an environment-friendly and energy-saving digital intelligent multi-function bed, and adopts the technical proposal that the bed comprises a bed body, a tip-up bed cover arranged on the bed body, a mattress arranged on the bed body and an intelligent massaging pillow arranged on one end of the bed mattress. The digital intelligent multi-function bed can provide an energy-saving, safe, quiet and comfortable sleeping environment and is applicable to the occasions such as families or restaurants.

Prediction model for early stage and middle stage of pregnancy eclampsia

The invention relates to a preeclampsia prediction model for early and middle periods of pregnancy. The preeclampsia prediction model comprises the following steps: S1, collecting case sample data; s2, candidate prediction variables are obtained; s3, sample feature missing value analysis; s4, screening candidate predictive variables; s5, performing linear hypothesis testing; s6, establishing a prediction model; s7, performing model regression diagnosis; s8, performing model prediction capability evaluation and internal verification; s9, presentation of the prediction model; s10, performing external verification on the prediction model; the method has the advantages that preeclampsia prediction variables are screened through LASSO regression and backward stepwise regression multi-factor Logistic regression analysis, variables and a regression model expression which finally enter a preeclampsia prediction model are determined by taking the optimal model distinction degree and as few prediction ...

Method for saving area of medium- and low-voltage VDMOSFET chip

The invention discloses a method for saving the area of a medium- and low-voltage VDMOSFET chip. Electrical properties of a VDMOS device can be guaranteed, and manufacturing cost is minimized. The method comprises the following steps: firstly, an active region (1a) and a non-corrosive region (1b) are formed on polycrystalline silicon through corrosion; a polycrystalline silicon region (2) is formed on the active region (1a) through deposition, and the polycrystalline silicon region (2) contains a polycrystalline silicon lead region (2a) and a polycrystalline silicon terminal structural region (2b); N+source regions (3) are formed below the polycrystalline silicon lead region (2a) and below the space between the polycrystalline silicon lead region (2a) and the polycrystalline silicon terminal structural region (2b) through diffusion; contact holes (4) are formed on the polycrystalline silicon region; a metal electrode (5) is formed on the active region (1a); the metal electrode (5) extends ...

Sponge city water storage device

The utility model relates to a water storage device for a sponge city. The utility model belongs to the technical field of water storage. The device comprises a mud-water separator, a filter box, a water storage tank and a sewage collection tank, a sewage discharging pipe is arranged on one side of the mud-water separator and connected with a sewage collecting pool, a water outlet pipe is arrangedbelow the mud-water separator and connected with the top of a filtering box, the bottom of the filtering box is connected with a water storage pool, the water storage pool is provided with a dial gauge, and the water storage pool is provided with a water discharging pipe. The sponge city water storage device has the advantages that the structure is novel and firm, the occupied space is saved, thefiltering medium is convenient to replace, filtering is rapid, and the water storage capacity is large.

METHOD FOR PRODUCING FLUORAPATITE AND ITS APPLICATION

A method for producing fluorapatite and its application are disclosed in the present invention, which relates to the field of biomaterials for dental reparation. The present invention comprises steps of mixing tetracalcium phosphate, calcium hydrogen phosphate, and sodium fluoride to form a mixture and adding the mixture into water, or mixing tetracalcium phosphate and ammonium fluoride to form a mixture and then adding the mixture into a phosphoric acid/water solution, blending the above two sets of materials respectively to form cement-like substances; and solidifying the cement-like substances at a temperatures of 35° C. to 38° C. and a moisture of 100% for 1-3 days to produce fluorapatite. The synthesized fluorapatite has a similar chemical composition with tooth enamel, thus, the fluorapatite produced by the invention can be combined with the natural enamel directly, so as to repair enamel defects caused by caries, especially severe enamel defects (deep caries). The synthesized fluorapatite has a stoichiometric amount of apatite structure, and has high chemical stability (low solubility) in a physiological condition of human body fluid. In acidic conditions (when bacteria exist) the fluorapatite releases fluorine ion slowly, so it further has an ability to prevent dental caries. 1. A method for producing fluorapatite , characterized in comprising:mixing tetracalcium phosphate, calcium hydrogen phosphate, and sodium fluoride to form a mixture and then adding the mixture into water, or mixing tetracalcium phosphate and ammonium fluoride to form a mixture and then adding the mixture into a phosphoric acid/water solution;blending the above two sets of materials respectively to form cement-like substances; andsolidifying the cement-like substances at a temperatures of 35° C. to 38° C. and a moisture of 100% for 1-3 days.2. The method of claim 1 , characterized in that tetracalcium phosphate claim 1 , calcium hydrogen phosphate claim 1 , and sodium fluoride are used ...

Transfer mechanism of converter and converter

The invention relates to a transfer mechanism for a transfer machine, comprising a working platform (14) and a transfer platform (16), where the working platform (14) and the transfer platform (16) comprise a base body (18), a plate (20), an adjustment device (22) arranged on the base body (18) and a transport mechanism (24) arranged on the base body (18), and where the plate (20) has an opening (26) and is mounted on the base body (18) that can be rotated, an adjustment device (22) is connected to the plate (20) to adjust the plate (20) between a base position and a discharge position. The invention further relates to a converter (10) and to an operating method for a converter (10).

HUMAN BODY ATTRIBUTE RECOGNITION METHOD, APPARATUS, AND DEVICE AND MEDIUM

This application discloses a human attribute recognition method performed at a computing device. The method includes: determining a human body region image in a surveillance image; inputting the human body region image into a multi-attribute convolutional neural network model, to obtain, for each of a plurality of human attributes in the human body region image, a probability that the human attribute corresponds to a respective predefined attribute value, the multi-attribute convolutional neural network model being obtained by performing multi-attribute recognition and training on a set of pre-obtained training images by using a multi-attribute convolutional neural network; determining, for each of the plurality of human attributes in the human body region image, the attribute value of the human attribute based on the corresponding probability; and displaying the attribute values of the plurality of human attributes next to the human body region image.

Shale gas acid fracturing drag reducer and reparation method thereof

The invention discloses a shale gas acid fracturing drag reducer and a reparation method of the shale gas acid fracturing drag reducer. The preparation method comprises the following steps: mixing monomer acrylic acid and 2-acrylamide-2 methyl propane sulfonic acid, dissolving in water, subsequently adding acrylamide, and finally adding ethylenediamine tetraacetic acid disodium to prepare into a water phase; mixing and dissolving a compounded surfactant with base oil to form an oil phase; performing inverse emulsion polymerization on the oil phase and the water phase to prepare the shale gas acid fracturing drag reducer. As a great amount of acid resistance monomers are introduced into the drag reducer, the acid resistance of the dreg reducer is greatly improved; the dreg reducer is milk white emulsion in appearance, is high in stability, non-ignitable, non-explosive, safe to transport and store, rapid to dissolve in water and free of fisheye; the requirements of continuous blending in ...

Aviation plunger pump oil distribution disc abrasion detection method and system based on confrontation self-supervision

The invention discloses an aviation plunger pump oil distribution disc abrasion detection method and system based on confrontation self-supervision, and belongs to the technical field of aviation plunger pump fault detection.The method comprises the steps that vibration signals of a plunger pump under different abrasion degrees of a plunger pump oil distribution disc under the same working condition are collected, and a data set is obtained after the vibration signals are processed; most of the data in the data set is taken to form a label-free training set, and a small part of the data forms a label fine tuning set; pre-training an adversarial self-supervision model by using the label-free training set; and training the pre-trained first encoder by using the labeled fine tuning set so as to perform weight fine tuning on the full connection layer of the first encoder, thereby obtaining the trained first encoder for aviation plunger pump oil distribution disc wear detection. The adversarial ...

Evaluation method and evaluation device for facial key point positioning result

Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.

FACIAL TRACKING METHOD AND APPARATUS, STORAGE MEDIUM, AND ELECTRONIC DEVICE

A facial tracking method can include receiving a first vector of a first frame, and second vectors of second frames that are prior to the first frame in a video. The first vector is formed by coordinates of first facial feature points in the first frame and determined based on a facial registration method. Each second vector is formed by coordinates of second facial feature points in the respective second frame and previously determined based on the facial tracking method. A second vector of the first frame is determined according to a fitting function based on the second vectors of the first set of second frames. The fitting function has a set of coefficients that are determined by solving a problem of minimizing a function formulated based on a difference between the second vector and the first vector of the current frame, and a square sum of the coefficients.

Video processing method and device, computer equipment and storage medium

The invention relates to a video processing method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a target video frame; acquiring at least one previous adjacent video frame of a predetermined number of frames adjacent to the target video frame; obtaining at least one later adjacent video frame of a predetermined number of adjacent frames after the target video frame; and processing the target video frame based on the at least one previous adjacent video frame and the at least one later adjacent video frame to obtain a processed target video frame processing result. According to the method provided by the embodiment of the invention, the previous adjacent video frame and the later adjacent video frame of the target video frame are symmetrically acquired, and the target video frame is processed, so that the influence of the previous adjacent video frame on the target video frame is considered, and meanwhile, the influence of the later ...

Rail transportation exhibition hall control system and control method of error processing thereof

The invention discloses a rail transportation exhibition hall control system and a control method of error processing thereof. The system comprises a visiting platform, a data acquisition expanding board, a data acquisition board card, an industrial personal computer, a display and a stereo, wherein the visiting platform, the data acquisition expanding board, the data acquisition board card and the industrial personal computer are connected in sequence, and the display and the stereo are connected with the industrial personal computer. The method comprises the following steps of: starting; judging whether in a running state or not; judging whether errors are captured; capturing the errors and reporting; and recovering the errors: recovering the errors to the last normal operation. The invention provides a set of control system for a rail transportation exhibition hall and a control method of error processing thereof, provides powerful support for popularizing the scientific knowledge about ...

Explosion-proof dry type transformer

The invention belongs to transformers in a power supply and distribution system, and in particular relates to a mining explosion-proof dry type transformer and a mobile substation. The transformer comprises an iron core, a winding, an insulator, a shell and the like, and is characterized in that: an upper cover of the transformer shell is wavelike, so that the top radiating area is increased, the radiating conditions of the transformer are improved, and the service life of the transformer can be prolonged.

Chip packaging structure, preparation method of chip packaging structure and wire bonding repairing method

The invention provides a chip packaging structure, a preparation method of the chip packaging structure and a wire bonding repairing method, and relates to the technical field of semiconductor packaging, a first chip is mounted on a substrate, wire bonding is performed between the first chip and the substrate to form an electric wire arc, and meanwhile, the first chip is coated with a first plastic package body, so that packaging is realized; the electric arc is arranged in the first plastic package body, the first conductive column is arranged in the first plastic package body, the wiring layer is arranged on the surface of the first plastic package body, heat generated in the first plastic package body can be transmitted to the wiring layer through the electric arc and the first conductive column and transmitted to the outside through the wiring layer, and heat dissipation is achieved. Compared with the prior art, the chip packaging structure provided by the invention has the advantages ...

Digital motor overspeed protection device and method

The invention discloses a digital motor overspeed protection device and method. The device comprises a speed detection module and a control unit, wherein the speed detection module collects motor speed pulse signals in real time; the control unit comprises a pulse detection module, a central processing unit and a logic output module, the pulse detection module converts the motor speed pulse signals into corresponding motor real-time speed, the central processing unit compares the obtained motor real time speed with an internally preset over-limit protection threshold and judges whether a motor operation state is normal through logical operation, and the logic output module carries out corresponding fault warning according to fault signals output by a fault relay. The device and method can effectively overcome the situation that due to problems of the motor structure, onsite installation can not be achieved, and speed measuring is timely and accurate. The digital motor overspeed protection ...

Combination for repairing dental enamel and method for preparing fluorapatite by using the same

The invention discloses a combination for repairing damaged dental enamel, belonging to the field of dental repairing biomaterials. The method comprises steps that tetracalcium phosphate, calcium hydrophosphate and sodium fluoride are mixed, water is added for blending to form cement-like substances, the cement-like substances are filled in carious cavities of carious teeth with damaged enamel, the cement-like substances are cured for 1-3 days under a human body physiological environment to generate fluorapatite, and thereby the carious damaged enamel, especially large damaged enamel (deep caries) can be repaired. Since the synthesized fluorapatite has chemical components similar to the chemical components of the dental enamel, repairing materials can be directly combined with natural dental enamel. The synthesized fluorapatite has a stoichiometric phosphorite structure, the chemical stability under the condition of human physiological body liquid is very high (i.e. the dissolubility is ...

Multipoint temperature collection system and collection method thereof

The invention discloses a multipoint temperature collection system and a collection method thereof. The system comprises a plurality of temperature sensors which are hung on the same bus, and a PIC single chip control system, an RS232 communication module and a PC computer main controller which are sequentially connected with each other, wherein the PIC single chip control system is also connected with a liquid crystal display device and a keyboard, and the PIC single chip control system is also hung on the bus. The method comprises the following steps: performing initialization; issuing a jump ROM order by a host; re-issuing a uniform temperature conversion startup code by the host, waiting for one second, and re-initializing; and sequentially matching correspondent temperature sensors, storing the collected temperature into a memory space, and displaying the collected temperature on the PC computer main controller. The system and the method realize the distribution-type control, can display ...

Substrate packaging structure and preparation method thereof

The invention provides a substrate packaging structure and a preparation method thereof, and relates to the technical field of semiconductor packaging, the substrate packaging structure comprises a substrate, a first heat dissipation supporting layer, a first chip, a first plastic packaging body and an external solder ball, and the first heat dissipation supporting layer is attached to the surface of the substrate, plays a role in supporting the structure and can prevent the substrate from warping. The heat dissipation layer is arranged in the substrate and connected with the first heat dissipation supporting layer, heat generated in the substrate can be transmitted to the first heat dissipation supporting layer, and then heat dissipation is achieved. Compared with the prior art, the substrate packaging structure provided by the invention can effectively solve the problem of warping of the substrate, can effectively prevent the substrate from warping during mounting operation and plastic ...

Motor overhauls specialized tool

Motor overhauls specialized tool for problem inconvenient, that waste time and energy is dismantled to wheel or the bearing solved on the generator. It includes frame, gyro wheel, crossbeam, lift drive assembly, jack, pull rod and baffle, the gyro wheel sets up in the bottom of frame the top of frame is equipped with the crossbeam be equipped with the lift drive assembly that drive beams reciprocated between crossbeam and the frame, the side of crossbeam is equipped with the jack the both sides of jack are equipped with the pull rod that is located on the crossbeam respectively the nut is installed to the free end screw thread of pull rod be fixed with the baffle on the nut, the baffle is worn on the pull rod. The utility model discloses convenient to use, easy operation, can be quick lift the wheel off labour saving and time saving.

Modular intelligent control system and method of crane

The invention discloses a modular intelligent control system and method of a crane. The modular intelligent control system comprises a control unit and power units controlled by the control unit. The control unit is characterized by comprising a signal acquisition module, a central processing unit and a logic output module, wherein the signal acquisition module is used for acquiring setting signals given by a user and action feedback signals fedback by all the power units controlled by the control unit in real time, processing the obtained singles and transmitting the processed signals to the central processing unit; the central processing unit is internally embedded with multiple motor control mode programs, and can be used for switching and selecting according to set signals, and operating the motor control module programs corresponding to the set signals to realize the logic control on the power units, and simultaneously, the central processing unit is also used for monitoring operating ...

Control circuit

The utility model discloses a control circuit, include: CPU links to each other with personal computer PC machine, bus system and peripheral equipment through the communication linkage unit. Signal input output unit links to each other with CPU. Through the utility model discloses a scheme can make things convenient for and be connected with external device's signal.

Mesa diode with low-creepage and high-voltage resistant terminal structure and preparation method of mesa diode

The invention provides a mesa diode with a low-creepage and high-voltage resistant terminal structure, and a preparation method of the mesa diode. The mesa diode comprises a back surface substrate, an N-type epitaxial layer, an anode active area P+ layer and a composite passivation layer on a diode mesa, wherein the composite passivation layer comprises a silicon dioxide layer, a polycrystalline silicon layer and a silicon nitride layer. The preparation method provided by the invention comprises the following steps of 1, preparing an ordinary mesa diode; 2, growing a layer of silicon dioxide on the upper surface of the diode; 3, depositing polycrystalline silicon on the silicon dioxide layer, and performing phosphorus expansion to form a polycrystalline silicon layer; 4, depositing silicon nitride on the polycrystalline silicon layer to form a silicon nitride layer; 5, etching the silicon nitride layer and the polycrystalline silicon layer to form the silicon nitride layer and the polycrystalline ...

FACE KEY POINT POSITIONING METHOD AND TERMINAL

The present disclosure pertains to the field of image processing technologies and discloses a face key point positioning method and a terminal. The method includes: obtaining a face image; recognizing a face frame in the face image; determining positions of n key points of a target face in the face frame according to the face frame and a first positioning algorithm; performing screening to select, from candidate faces, a similar face whose positions of corresponding key points match the positions of the n key points of the target face; and determining positions of m key points of the similar face selected through screening according to a second positioning algorithm, m being a positive integer. In this way, the problem that positions of key points obtained by a terminal have relatively great deviations in the related technologies is resolved, thereby achieving an effect of improving accuracy of positioned positions of the key points. 1. A method for determining positions of face key points , performed by a device , wherein the device comprises a memory storing instructions and at least one processor in communication with the memory to execute the instructions , the method comprising:Obtaining, by the device, a face image;recognizing, by the device, a face frame in the face image;determining, by the device, positions of n key points of a target face in the face frame according to the face frame and a first positioning algorithm, wherein n≧3 and the first positioning algorithm allows deviations between the determined positions of the n key points and actual positions thereof to fall within a first deviation range, when the face frame is positioned with a deviation;performing, by the device, screening to select, from candidate faces, a similar face whose positions of corresponding key points match the positions of the n key points of the target face;determining, by the device, positions of m key points of the similar face according to a second positioning algorithm, ...

METHOD, TERMINAL, AND STORAGE MEDIUM FOR TRACKING FACIAL CRITICAL AREA

Method, terminal, and storage medium for tracking facial critical area are provided. The method includes accessing a frame of image in a video file; obtaining coordinate frame data of a facial part in the image; determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part; obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part; accessing an adjacent next frame of image in the video file; obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; and obtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data thereof. 119.-. (canceled)20. A facial critical area tracking method , comprising:accessing a frame of image in a video file;obtaining a first coordinate frame data of a facial part in the image by detecting a position of the facial part in the frame of the image; aligning a center of a pre-stored critical area with a center of a coordinate frame of the facial part by shifting the pre-stored critical area with respect to the coordinate frame of the facial part; and', 'zooming a size of the pre-stored critical area to match a size of the coordinate frame of the facial part;, 'determining a first initial coordinate frame data of a critical area in the facial part according to the first coordinate frame data of the facial part, comprisingobtaining a second coordinate frame data of the critical area according to the first initial coordinate frame data of the critical area in the facial part;accessing an adjacent next frame of image in the video file; andobtaining a second initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the second ...

Data change log monitoring method and device

The invention provides a data change log monitoring method, comprising the steps of: 302, setting a log identifier for a service object, and setting an attribute value for the log identifier according to whether the data change of the service object needs to be monitored; and 304, when the data of the service object changes, determining whether the attribute value of the log identifier is a preset value, and recording the log about the change situation of the data if the attribute value of the log identifier is the preset value. The invention further provides a data change log monitoring device. According to the invention, the log identifier and the monitoring range are uniformly managed, therefore, the monitoring range is convenient to change, and the operation complexity of changing the monitoring range is reduced.

Shared tower grading evaluation system

According to the shared tower grading evaluation system provided by the invention, alternative towers are obtained through screening under a strong screening condition, a plurality of influence factors influencing evaluation of the alternative towers are determined, the subjective weight of each influence element is obtained through an analytic hierarchy process, and the evaluation standard of each influence factor is determined, so that the grading evaluation of the alternative towers is realized. The method comprises the following steps: obtaining an evaluation score of each alternative tower under each influence factor, obtaining an objective weight of each influence element by combining an entropy weight method on the basis of the evaluation score, carrying out weighted summation on the evaluation scores according to a comprehensive weight to obtain a comprehensive evaluation score of each alternative tower, and determining a priority according to the score to select a proper tower.

Trench gate semiconductor device and preparation method thereof

The invention relates to a trench gate semiconductor device and a preparation method thereof. The trench gate semiconductor device comprises a P + substrate; the N-drift region is positioned on the P + substrate; the multi-order dielectric layer and the P well region are located on one side of the N-drift region, and the N + drain region is located on the other side of the N-drift region; wherein a polysilicon gate is arranged in the multi-order dielectric layer, and an N + well region and a P + region are arranged in the P well region. A multi-stage dielectric layer is introduced into an N-drift region, an extremely thin gate oxide is formed by utilizing the side wall of a step, a groove type MOS structure is further formed, and thicker dielectric layers are arranged below polycrystalline silicon and close to the drain side; the electric field peak value and the saturation current density of the LDMOS device are reduced, and meanwhile the excellent forward conduction characteristic of ...

Image recognition method and apparatus

The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.

Reader for access control management systems

The invention discloses a reader for access control management systems, which comprises a PIC main control module, a power supply module connected with the PIC main control module, a transmitting-receiving module, an RS232 communication module and an access control information exchange module, wherein the PIC main control module detects the information of electronic tags and simulates the states of access control; the power supply module supplies power to the PIC main control module; the transmitting-receiving module transmits and receives signals; the access control information exchange module realizes the display and simulated exchange of access control information, and comprises a buzzer, a tri-bit DIP switch, a first photodiode and a second photodiode; and the RS232 communication module transmits and updates data in real time. The reader can operate as a main part of a slave computer of an access control management system, completes reading and processing tag data, carries out serial ...

METHOD AND APPARATUS FOR GENERATING CARTOON FACE IMAGE, AND COMPUTER STORAGE MEDIUM

In a method for generating a cartoon face image that is performed by a computing device, a to-be-processed face image is obtained. Face feature information is recognized from the to-be-processed face image, and cartoon materials corresponding to feature parts of a face in the to-be-processed face image are obtained according to the face feature information. The obtained cartoon materials are cartoon face materials. The cartoon face materials include cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials. Each of the cartoon facial feature materials are adjusted by using an adjustment parameter, and the other cartoon material are combined with the cartoon facial feature materials after adjustment to generate the cartoon face image. 1. A method for generating a cartoon face image , performed by a computing device , the method comprising:obtaining, by circuitry, a to-be-processed face image;recognizing, by the circuitry, face feature information from the to-be-processed face image;obtaining, by the circuitry, cartoon materials respectively corresponding to feature parts of a face in the to-be-processed face image according to the face feature information, to obtain cartoon face materials, the cartoon face materials including cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials;adjusting, by the circuitry, each of the cartoon facial feature materials respectively by using an adjustment parameter; andcombining, by the circuitry, the other cartoon material with the cartoon facial feature materials after adjustment to generate the cartoon face image.2. The method according to claim 1 , wherein adjusting each of the cartoon facial feature materials respectively comprises:obtaining facial feature profile information of the to-be-processed face image and facial feature profile information of a preset standard face image respectively; andobtaining at least one of an ...

Internal ladder assembly for a wind turbine rotor hub

A rotor hub for a wind turbine may generally include a hub body defining both a plurality of blade flanges and a plurality of access ports spaced apart from the blade flanges. In addition, the rotor hub may include a ladder assembly extending within an interior of the hub body. The ladder assembly may include a plurality of platforms, with each platform defining a planar surface and being circumferentially aligned with a respective one of the plurality of access ports. The ladder assembly may also include a connecting frame extending between each pair of adjacent platforms so as to couple the adjacent platforms to one another. The connecting frame may extend lengthwise along a reference line defined between the adjacent platforms. The platforms may be positioned relative to one another such that the reference line extends at a non-perpendicular angle relative to the planar surfaces defined by the adjacent platforms.

Safety-brake PLC (Programmable Logic Controller) control system with self recognition and control method thereof

The invention discloses a safety-brake PLC (Programmable Logic Controller) control system with self recognition and a control method of the safety-brake PLC control system. The system comprises an incremental type encoder, a safety brake control unit and an operation unit, wherein the incremental type encoder is used for acquiring rotating-speed signals of a high-speed shaft and a low-speed shaft; the safety brake control unit comprises a PLC, a control output module and a voltage-stabilizing power supply; the PLC is used for carrying out logic operation analysis on the acquired rotating-speed signals and outputting corresponding logic control commands to the control output module according to a logic operation analysis result; and the control output module acts according to the received logic control commands and controls a working brake or a safety brake to act. The safety-brake PLC control system and the control method disclosed by the invention have the advantages that the potential ...

Living body detection method and device

The embodiment of the invention provides a living body detection method and device. The method comprises the following steps: starting a face scanning application program; detecting that the terminal equipment starts a living body detection process in the face scanning application program; obtaining running environment information inside the terminal equipment formed when the terminal equipment executes the living body detection process; wherein the operation environment information is information which does not need to be used when the terminal equipment executes a living body detection process, but is operation information of the terminal equipment influenced by the execution of the living body detection process by the terminal equipment; and sending the acquired operation environment information to a server, so that the server judges whether an attack behavior occurs or not. According to the embodiment of the invention, the attack behavior of the injection attack can be better detected ...

Method and device for scheduling database resources

The invention provides a method for scheduling database resources, which comprises the following steps of: 202, arranging a plurality of computing resource pools for a database, and allocating computing resources for each computing resource pool; and 204, allocating the computing resource pools for database operation according to the type of service operation when the service operation initiates the database operation, and providing the computing resource in the computing resource pools so as to perform the database operation. The invention also provides a device for scheduling database resources. By reasonably allocating the database resources, various database operations only can occupy resources in a certain proportion, and other database operations are normally performed.

Full-automatic winding and binding equipment and method for photovoltaic junction box

The invention discloses a full-automatic winding and binding device and method for a photovoltaic junction box. The device comprises a rack, a feeding assembly, a grabbing assembly, a winding assembly, a moving assembly, an adjusting assembly, a binding machine and a discharging assembly. The material grabbing assembly grabs a wire harness part of the photovoltaic junction box and transfers the wire harness part to the winding assembly, and provides tension for the wire harness during winding; the material moving assembly grabs the wiring harness part of the photovoltaic junction box subjected to wire winding from the wire winding assembly, turns over and transfers the wiring harness part to the gun head position of the binding machine, and can drive the wiring harness part of the photovoltaic junction box to rotate by 180 degrees; the adjusting assembly is used for rotating the box body part of the photovoltaic junction box grabbed by the material moving assembly and adjusting the angle ...

Method for producing fluorapatite and its application

This application provides a novel method for producing a tetracalcium phosphate-based fluorapatite. Also provided is a method of using the fluorapatite for repairing enamel defects.

Method for manufacturing high-voltage fast recovery diodes based on silicon-based bonding materials

The invention relates to a method for manufacturing high-voltage fast recovery diodes based on silicon-based bonding materials. The method includes the following procedures of silicon epitaxial wafer selection, platinum diffusion, P+ anode region silicon-silicon bonding, table facet manufacturing, silicon groove passivation, front side metallization, thinning and back side metallization. In the technological process of the method, the platinum diffusion process is carried out on the surface of an N- layer before a P+ anode region is formed so that high-concentration recombination centers can be distributed in the area, close to a PN junction, of the N- layer as far as possible, extremely-low-concentration recombination centers are led into or not led into the area, close to the PN junction, of a P+ layer, and namely the partial-area-like distribution of the recombination centers is achieved; a better compromise between forward voltage drop and reverse recovery time is facilitated, the minority ...

Face model matrix training method and apparatus, and storage medium

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Gujinsa capsule and its preparing process

The Gujinsu capsule is prepared with silicate trace element powder, human urine sediment and rice vinegar, and each capsule of 1 g contains silicate trace element powder 910 mg, human urine sediment 10 mg and rice vinegar 5 mg except organic impurity. The capsule has the functions of clearing away heat, dredging the muscles and joints, promoting blood circulation to disperse blood clots, settling bone fracture, etc. and is used to treat various kinds of bone fracture, protrusion of intervertebral disc, cervical spondylopathy, and other diseases.

Image processing method and device, storage medium and electronic equipment

The embodiment of the invention discloses an image processing method and device, a storage medium and electronic equipment, and can be applied to the field of artificial intelligence or Internet of Vehicles. The method comprises the following steps: acquiring a first face image; performing parameterized face reconstruction based on the first face image to obtain face model parameters; based on the human face model parameters, carrying out total image reconstruction on the first human face image to obtain a depth information graph corresponding to the first human face image; and performing multi-stage intrinsic decomposition on the first face image based on the depth information graph to obtain a face texture parameter and an environment illumination parameter. According to the method and the device, the depth information graph can be obtained by performing face reconstruction and total graph reconstruction on the face image, and the face texture parameters and the environment illumination ...

Facial tracking method and apparatus, storage medium, and electronic device

A facial tracking method can include receiving a first vector of a first frame, and second vectors of second frames that are prior to the first frame in a video. The first vector is formed by coordinates of first facial feature points in the first frame and determined based on a facial registration method. Each second vector is formed by coordinates of second facial feature points in the respective second frame and previously determined based on the facial tracking method. A second vector of the first frame is determined according to a fitting function based on the second vectors of the first set of second frames. The fitting function has a set of coefficients that are determined by solving a problem of minimizing a function formulated based on a difference between the second vector and the first vector of the current frame, and a square sum of the coefficients.

FACIAL TRACKING METHOD AND APPARATUS, AND STORAGE MEDIUM

A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.

IMAGE PROCESSING METHOD AND APPARATUS, FACIAL RECOGNITION METHOD AND APPARATUS, AND COMPUTER DEVICE

This application relates to an image processing method and apparatus, a facial recognition method and apparatus, a computer device, and a readable storage medium. The image processing method includes: obtaining a target image comprising an object wearing glasses; inputting the target image to a glasses-removing model comprising a plurality of sequentially connected convolution squeeze and excitation networks; obtaining feature maps of feature channels of the target image through convolution layers of the convolution squeeze and excitation networks; obtaining global information of the feature channels according to the feature maps through squeeze and excitation layers of the convolution squeeze and excitation networks, learning the global information, and generating weights of the feature channels; weighting the feature maps of the feature channels according to the weights through weighting layers of the convolution squeeze and excitation networks, respectively, and generating weighted feature maps; and generating a glasses-removed image corresponding to the target image according to the weighted feature maps through the glasses-removing model. The glasses in the image can be effectively removed using the method. 1. An image processing method , comprising:obtaining a target image comprising an object wearing glasses;inputting the target image to a glasses-removing model trained based on a generative adversarial network and comprising a plurality of sequentially connected convolution squeeze and excitation networks;obtaining feature maps of feature channels of the target image through convolution layers of the convolution squeeze and excitation networks;obtaining global information of the feature channels according to the feature maps through squeeze and excitation layers of the convolution squeeze and excitation networks, learning the global information, and generating weights of the feature channels;weighting the feature maps of the feature channels according to the ...

Coal mud water slurry productive technology

The invention relates to a product craft of coal sludge water coal slurry, the craft is simple, the energy consumption is low, including the following steps: raw material coal transports to the homogenate warehouse by the conveyer, pours the right amount water into the homogenate warehouse according to the raw material coal density, and joins the dispersing agent to agitate evenly; through the seal pipeline the thick liquid pump transports the slurry of the homogenate warehouse to the ball mill and carries the rubbing processing; wipes the impurity off the grinding machine material which is obtained in the above step through the separator filtration and sends to the stirring barrel to carry on the intense agitation, and joins the right amount stabilizer to control the water-coal-slurry viscosity; after the obtained pulp transports to the strengthen pump and carries on force cutting, transports to store pot to carries on the curing, namely end produces the water-coal-slurry. The invention ...

Anti -fake label of tracing to source

The utility model discloses an anti -fake label of tracing to source, include: the product information district of record product essential information, the fiber pattern that anti -counterfeiting identification distinguishes, random distribution has the fiber pattern district and the safety line of record product anticounterfeiting information, the safety line is located between product information district and the anti -counterfeiting identification district. Compared with the prior art, the utility model discloses anti -fake label of tracing to source not only has the product information but also has anti -counterfeiting identification information, can effectively satisfy the demand of being open to the custom of product and consumer's anti -counterfeiting identification demand, has improved the customs clearance efficiency effectively, need not the later stage to stick on the antifalsification label, has also avoided packaging material's waste.

Chemical diverting acidification grading method for multi-layer medium-high permeability sandstone reservoir

The invention discloses a chemical diverting acidification grading method for a multi-layer medium-high permeability sandstone reservoir. The chemical diverting acidification grading method for the multi-layer medium-high permeability sandstone reservoir comprises the following steps: according to the permeability of the multi-layer sandstone reservoir, determining that the permeability of a target layer of a target well is graded as an extra-high permeability reservoir, a high permeability reservoir or a medium permeability reservoir; according to the production permeability profile map of the multi-layer sandstone reservoir, the non-uniformity degree of the permeability of the target well is determined; and according to the grading type of the permeability of the target well and the non-uniformity degree of the permeability, determining the required steering material. According to the method, the diverting acidification process can be optimally designed in combination with different diverting ...

FEATURE POINT POSITIONING METHOD, STORAGE MEDIUM, AND COMPUTER DEVICE

This application relates to feature point positioning technologies. The technologies involve positioning a target area in a current image; determining an image feature difference between a target area in a reference image and the target area in the current image, the reference image being a frame of image that is processed before the current image and that includes the target area; determining a target figure point location of the target area in the reference image; determining a target feature point location difference between the target area in the reference image and the target area in the current image according to a feature point location difference determining model and the image feature difference; and positioning a target feature point in the target area in the current image according to the target feature point location of the target area in the reference image and the target feature point location difference. 1. A method for feature point positioning , performed by a computer device , the method comprising:positioning a target area in a current image;determining an image feature difference between a target area in a reference image and the target area in the current image, the reference image being a frame of image that is processed before the current image and that comprises the target area;determining a target figure point location of the target area in the reference image;determining a target feature point location difference between the target area in the reference image and the target area in the current image according to a feature point location difference determining model and the image feature difference; andpositioning a target feature point in the target area in the current image according to the target feature point location of the target area in the reference image and the target feature point location difference.2. The method according to claim 1 , wherein the target area is a face area claim 1 , the target feature point comprises a face ...

Method, terminal, and storage medium for tracking facial critical area

Method, terminal, and storage medium for tracking facial critical area are provided. The method includes accessing a frame of image in a video file; obtaining coordinate frame data of a facial part in the image; determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part; obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part; accessing an adjacent next frame of image in the video file; obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; and obtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data thereof.

Surface-organized double metal cyanide catalyst as well as preparation method and application thereof

The invention discloses a double-metal cyanide catalyst with an organized surface, a preparation method of the double-metal cyanide catalyst and application of the double-metal cyanide catalyst in preparation of poly (propylene carbonate). The preparation method comprises the following steps: (1) dissolving a water-soluble metal zinc salt in a mixed solvent of deionized water and a small-molecule organic ligand, then adding a large-steric-hindrance silane coupling agent, uniformly mixing, adjusting the pH value of a mixed solution system to 1-4.5 by using inorganic acid, and marking as a solution A; the large-steric-hindrance silane coupling agent is methoxy and/or ethyoxyl silane with an aromatic group, a tert-butyl group and/or a long-chain alkyl group with C12 or more; (2) preparing a deionized water solution of metal cyanide and a complexing agent, and recording the deionized water solution as a solution B; and (3) heating the solution A to 30-85 DEG C, dropwise adding the solution ...

Human face recognition method and recognition system based on lip movement information and voice information

The embodiment of the present invention provides a human face recognition method and recognition system. The method includes that: a human face recognition request is acquired, and a statement is randomly generated according to the human face recognition request; audio data and video data returned by a user in response to the statement are acquired; corresponding voice information is acquired according to the audio data; corresponding lip movement information is acquired according to the video data; and when the lip movement information and the voice information satisfy a preset rule, the human face recognition request is permitted. By performing fit goodness matching between the lip movement information and voice information in a video for dynamic human face recognition, an attack by human face recognition with a real photo may be effectively avoided, and higher security is achieved.

Alkaline silicate gelatin mixer for injection well

This alkaline silicate gelatin mixer for injection well in oil field features that sodium silicate (water glass) is used as main component and amine salt is as the activating agent of water gloss. Its advantages include low conosion and cost, high mixing effect and wide adaptability to different strata.

HUMAN FACE AUTHENTICATION METHOD AND APPARATUS, AND STORAGE MEDIUM

A device receives an image-based authentication request from a specified object and performs human face authentication in a manner depending on whether the object wears glasses. Specifically, the device designates a glasses region on a daily photograph of the specified object using a glasses segmentation model. If the regions of the human face in the daily photograph labeled as glasses exceed a first threshold amount, the device modifies the daily photograph by changing pixel values of the regions that are labeled as being obscured by glasses. The device extracts features of a daily human face from the daily photograph and features of an identification human face from the identification photograph. The device approves the authentication request if a matching degree between the features of the daily human face and the features of the identification human face is greater than a second threshold amount. 1. A human face authentication method , comprising: receiving an image-based authentication request from a specified object for a respective transaction, the specified object being a human user; and', obtaining an identification photograph of a specified object and a daily photograph of the specified object, wherein the identification photograph of the specified object and the daily photograph of the specified object each include a region corresponding to a human face;', 'designating a glasses region on the daily photograph of the specified object by using a glasses segmentation model, wherein the glasses segmentation model has been trained to label pixels in the daily photograph that correspond to regions of the human face in the daily photograph that are obscured by glasses;', 'in accordance with a determination that the regions of the human face in the daily photograph that are labeled as being obscured by glasses exceed a first threshold amount, modifying the daily photograph by changing pixel values of the regions of the human face in the daily photograph that are ...

Image processing method and device, electronic equipment and storage medium

The invention discloses an image processing method and device, electronic equipment and a storage medium. The embodiment of the invention relates to the technical fields of machine learning of artificial intelligence, cloud technology and the like. The method comprises the following steps: fusing a pre-segmentation mask and a green screen image to obtain a composite image; determining a target area including a target part from the composite image; driving a driving part in the target area to obtain a driving image; extracting a driven target part according to the pixels of the driving image and the pixels of the background area; and obtaining a target foreground region according to the driven target part and the region except the target part in the foreground region. In the application, the pixels of the driving image and the pixels of the background region are utilized to extract the driven target part corresponding to the target part in the driving image, and the accuracy and the segmentation ...

Composition for treating dental caries and method for preparing fluorapatite by using same

The invention discloses a composition for treating dental caries, and belongs to the field of biological materials for dental repair. Tetracalcium phosphate, ammonium fluoride and aqueous solution of phosphoric acid are blended to form sludge, the sludge is filled to surfaces of teeth with deep caries and small holes and is cured for 1 to 3 days under the condition of the physiological environment of human bodies to form fluorapatite, so that the coloboma of carious enamel and particularly the large coloboma of the enamel (the deep caries) are repaired. The synthetic fluorapatite and the enamel have the similar chemical components, so the repair materials can be combined with natural enamel directly. The synthetic fluorapatite has a stoichiometric apatite structure, has the high chemical stability (low dissolubility) under the condition of physiological body fluid of the human bodies and releases fluorine slowly under the condition of acidity (during the existence of bacteria), and thus ...

Living body identification method, information generation method, and terminal

The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met. The present disclosure resolves a problem in the related technology that even if a to-be-identified object performs an operation according to lip language ...

Method and apparatus for detecting glasses in a face image

This application discloses a method and a terminal for detecting glasses in a face image. The method includes: obtaining a face image; determining a nose bridge region in the face image; detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region; and determining whether there are glasses in the face image according to the image change result of the nose bridge region. The terminal for detecting glasses in a face image matches the method.

Medicament for treating chronic enteritis

The invention relates to a medicament for treating chronic enteritis. The medicament is a Chinese patent medicament prepared from the following raw materials in part by weight: 10 to 50 parts of bulbus fritilariae, 10 to 50 parts of Chinese wolfberry root-bark, 10 to 40 parts of common bletilla pseudobulb, 10 to 40 parts of rhizoma corydalis, 10 to 50 parts of cuttlebone, and 2 to 10 parts of liquoric root. The prescription follows the principle of ascending with medicaments of tasteless flavor, cooling, dredging, relaxing with sweet flavor, astringing with sour flavor, drying spleen, warmingkidney and inducing astringency to ensure that the medicaments in the prescription are in harmony, tonify qi and ease pain, and astringe to arrest diarrhea, so the effect of treating chronic diarrheacan be achieved; and the medicament has the characteristics of quick response, high cure rate, positive therapeutic effect, no toxic or side effect, easy access to medicament resource and low cost.

Organic fertilizer fermentation machine

The invention discloses an organic fertilizer fermentation machine which comprises a material inlet, a material storehouse, a material outlet, a rotating shaft and stirring wheels, wherein the material storehouse is barrel-shaped; the material inlet is formed in the upper part of the material storehouse; the material outlet is formed in the end face of one end, which is far away from the material inlet, of the barrel-shaped material storehouse; the rotating shaft is arranged in the material storehouse; the stirring wheels are spirally mounted on the rotating shaft. The stirring wheels of the organic fertilizer fermentation machine are sections and are provided with windows, so that the stirring resistance and the material discharging resistance are reduced; the uniformity of fertilizer stirring is improved; due to the conical material outlet, materials are more convenient to discharge; a heat preservation layer on the outer layer of the material storehouse can effectively guarantee the ...

Power transmission micropower distribution system

The invention discloses a power transmission micropower distribution system. The power transmission micropower distribution system comprises a near-end machine and one or more far-end machines connected with the near-end machine through power networks. The power transmission micropower distribution system composed of the near-end machine and the far-end machines can achieve fast networking, the far-end machines can be flexibly moved, and the covering area ranges from 3000 square meters to 20000 square meters. The near-end machine and the far-end machines are designed for power line communications, other hardware carriers like radio-frequency same-frequency cables or optical fibers or network cables are not needed, and therefore hardware cost, networking, installing and debugging costs and later-period maintenance cost can be greatly reduced. The power transmission micropower distribution system is easy to use and maintain and reliable in work and is applied to the field of power transmission ...

Heterogeneous redundant backboard and device, communication method, storage medium and electronic equipment

The invention relates to the technical field of data architecture, in particular to a heterogeneous redundant backboard and method, a storage medium and electronic equipment, and the heterogeneous redundant backboard comprises a first independent main control board bit, a second independent main control board bit and N independent slave control board bits, wherein the first independent main control board position and the second independent main control board position are in communication connection and have the same function, and the first independent main control board position and the second independent main control board position are respectively in communication connection with each independent slave control board position. And the first independent main control board position and the second independent main control board position are respectively connected with the N independent slave control board positions through buses. According to the invention, dual-independent system heterogeneous ...

Face liveness detection method, terminal, server and storage medium

A face liveness detection method includes outputting a prompt to complete one or more specified actions in sequence within a specified time period, obtaining a face video, detecting a reference face image frame in the face video using a face detection method, locating a facial keypoint in the reference face image frame, tracking the facial keypoint in one or more subsequent face image frames, determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint, and determining whether the one of the one or more specified actions is completed according to a continuity of the state parameter.

METHOD, APPARATUS, AND STORAGE MEDIUM FOR PROCESSING VIDEO IMAGE

This present disclosure describes a video image processing method and apparatus, a computer-readable medium and an electronic device, relating to the field of image processing technologies. The method includes determining, by a device, a target-object region in a current frame in a video. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes determining, by the device, a target-object tracking image in a next frame and corresponding to the target-object region; and sequentially performing, by the device, a plurality of sets of convolution processing on the target-object tracking image to determine a target-object region in the next frame. A quantity of convolutions of a first set of convolution processing in the plurality of sets of convolution processing is less than a quantity of convolutions of any other set of convolution processing. 1. A method for processing images in a video , the method comprising:determining, by a device comprising a memory storing instructions and a processor in communication with the memory, a target-object region in a current frame in a video;determining, by the device, a target-object tracking image in a next frame and corresponding to the target-object region; andsequentially performing, by the device, a plurality of sets of convolution processing on the target-object tracking image to determine a target-object region in the next frame, a quantity of convolutions of a first set of convolution processing in the plurality of sets of convolution processing being less than a quantity of convolutions of any other set of convolution processing.2. The method according to claim 1 , further comprising:recognizing, by the device, a target object in the target-object region in the next frame by using a deep residual network, to determine a category of the target object.3. The method according to claim 1 , further comprising:determining, by the device, a confidence that the ...

TRAJECTORY TRACKING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

A trajectory tracking method is provided for a computer device. The method includes performing motion tracking on head images in a plurality of video frames, to obtain motion trajectories corresponding to the head images; acquiring face images corresponding to the head images in the video frames, to obtain face image sets corresponding to the head images; determining from the face image sets corresponding to the head images, at least two face image sets having same face images; and combining motion trajectories corresponding to the at least two face image sets having same face images, to obtain a final motion trajectory of trajectory tracking.

Driver control circuit

The utility model discloses a driver control circuit, include: data processing management central processing unit CPU, motor control unit, signal input output unit and communication interface, data processing management CPU passes through communication interface and links to each other with the personal computer PC machine. Motor control unit includes a plurality of independent control single chip microcomputer, and is continuous with data processing management CPU through serial peripheral hardware interface SPI bus and universal asynchronous receiver -transmit URAT serial ports respectively. Signal input output unit links to each other with data processing management CPU. Through the utility model discloses a scheme can realize the control of multiple motor action.

EVALUATION METHOD AND EVALUATION DEVICE FOR FACIAL KEY POINT POSITIONING RESULT

Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.

Image processing method and apparatus

Embodiments of the present disclosure provide an image processing method and apparatus. The method includes detecting a human face region in each frame of an image in a to-be-processed video; locating a lip region in the human face region; extracting feature column pixels in the lip region from each frame of the image; building a lip change graph based on the feature column pixels; and recognizing a lip movement according to a pattern feature of the lip change graph.

Method and apparatus for determining facial pose angle, and computer storage medium

A method of determining a facial pose angle of a human face within an image is provided. After capturing a first image of the human face, respective coordinates of a predefined set of facial feature points of the human face in the first image are obtained. The predefined set of facial feature points includes an odd number of facial feature points, e.g., at least a first pair of symmetrical facial feature points, a second pair of symmetrical facial feature points, and a first single facial feature point. The predefined set of facial feature points are not coplanar. Next, one or more predefined key values based on the respective coordinates of the predefined set of facial feature points of the human face in the first image are calculated. Finally, a pre-established correspondence table is queried using the one or more predefined key values to determine the facial pose angle of the human face in the first image.

Image processing method and device and electronic equipment

Embodiments of the invention disclose an image processing method and apparatus, and an electronic device. The method comprises the steps of obtaining a to-be-processed image; the to-be-processed image is processed through the network model, X layers of output feature maps are obtained, and X is a positive integer; the network model comprises a feature pyramid network FPN model and an attention model, the FPN model comprises N network layers, the attention model comprises X cross attention modules, the FPN model is used for extracting multi-scale features of a to-be-processed image to obtain N feature maps of different scales, the N feature maps are in one-to-one correspondence with the N network layers, and X is an integer greater than or equal to 1; the first cross attention module is used for adjusting the features of the first feature map and the second feature map to obtain an output feature map, the first cross attention module is any network in the X cross attention modules, and the ...

Electrical control system and control method for steel rail refining mill

The invention discloses an electrical control system and a control method for a steel rail refining mill; the electrical control system comprises a console, a touch control terminal, a PLC controller, a relay control unit, a motor control unit, a driving control unit, a slope function generator and an oil pump hydraulic control unit with an oil pump motor, and the console is connected with the input end of the PLC controller; the touch control terminal is connected with an RS232 serial port of a PLC through a communication cable so as to establish communication; the output end of the PLC controller is respectively connected with the relay control unit, the motor control unit, the driving control unit, the slope function generator and the hydraulic control unit; the relay control unit is connected with a cooling pump, a dust collecting motor and an air compressor; the driving control unit comprises a variable frequency controller and two servo controllers; the variable frequency controller ...

Trajectory tracking method and apparatus, computer device, and storage medium

A trajectory tracking method is provided for a computer device. The method includes performing motion tracking on head images in a plurality of video frames, to obtain motion trajectories corresponding to the head images; acquiring face images corresponding to the head images in the video frames, to obtain face image sets corresponding to the head images; determining from the face image sets corresponding to the head images, at least two face image sets having same face images; and combining motion trajectories corresponding to the at least two face image sets having same face images, to obtain a final motion trajectory of trajectory tracking.

Facial tracking method and apparatus, and storage medium

A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed.

Manufacturing method of wear-resistant transmitting roll

The invention relates to a manufacturing method of wear-resistant transmitting roll and belongs to manufacturing methods of transmitting rolls for steel rolling equipment. The manufacturing method comprises the following steps: 1, manufacturing a transmitting roll blank; 2, forming and manufacturing a transition buffering layer, and carrying out primary plasma deposition to obtain a 1Cr18Ni9Ti buffering layer; 3, forming and manufacturing a transmitting roll working face, and carrying out plasma deposition on a buffering depositing layer to obtain a 1Cr18Ni9Ti-NiCrMoCo-WC alloy layer which is 3-4mm thick; and 4, grinding to manufacture a formed transmitting roll. According to the manufacturing method disclosed by the invention, particle sizes of 1Cr18Ni9Ti powder and NiCrMoCo-WC powder are respectively 100-200 meshes and 200-300 meshes; in percentage by mass, 35-70 percent of the1Cr18Ni9Ti powder and 65-30 percent of the NiCrMoCo-WC powder are adopted; the NiCrMoCo-WC powder is mainly prepared ...

Multipoint temperature reading and transforming method

The invention discloses a multipoint temperature reading and transforming method, which is characterized in that three temperature sensors are connected with the same bus and a PIC single chip control system is also connected with the bus, and comprises an initialization step and a multipoint temperature reading and transforming step. Through a one-bus multipoint reading and transforming way, the distribution reading of the single chip for the refrigeration box and the centralized control of the computer are realized, and the control performance is high.

Disposable flat drainage tube

The utility model belongs to the technical field of medical machinery and relates to a disposable flat drainage tube which is suitable for subcutaneously draining accumulated blood and liquid for large-scale wound surfaces after the clinical surgical operation. The disposable flat drainage tube mainly consists of a needle head (1), a needle handle (2), a hollow round tube (3) and a flat tube (4), and is characterized in that a three-edged needle consists of the needle head (1) and the needle handle (2); the three-edged needle is fixedly connected with one end of the hollow round tube (3); the other end of the hollow round tube (3) is fixedly connected with the plat tube (4); the needle head of three-edged needle (1) takes the shape of a triangular prism; the needle handle (2) is round; and an included angle opposite to the horizontal direction is formed by the needle head (1) and the needle handle (2). When the disposable flat drainage tube is used for drainage, no incision needs to be ...

FACIAL ATTRIBUTE RECOGNITION METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

A face attribute recognition method, electronic device, and storage medium. The method may include obtaining a face image, inputting the face image into an attribute recognition model, performing a forward calculation on the face image using the attribute recognition model to obtain a plurality of attribute values according to different types of attributes, and outputting the plurality of attribute values, the plurality of attribute values indicating recognition results of a plurality of attributes of the face image. The attribute recognition model may be obtained through training based on a plurality of sample face images, a plurality of sample attribute recognition results of the plurality of sample face images, and the different types of attributes. 1. A face attribute recognition method , performed by an electronic device , the method comprising:obtaining a face image;inputting the face image into an attribute recognition model;performing a forward calculation on the face image using the attribute recognition model to obtain a plurality of attribute values according to different types of attributes; andoutputting the plurality of attribute values, the plurality of attribute values indicating recognition results of a plurality of attributes of the face image, andwherein the attribute recognition model is obtained through training based on a plurality of sample face images, a plurality of sample attribute recognition results of the plurality of sample face images, and the different types of attributes.2. The method according to claim 1 , wherein the performing the forward calculation on the face image using the attribute recognition model further comprises:extracting face features of the face image;performing the forward calculation on the face features according to sub-models corresponding to the different types of attributes to obtain feature values corresponding to the plurality of attributes of the face image;based on a first attribute being a regression ...

Face model matrix training method and apparatus, and storage medium

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Human body attribute recognition method and apparatus, electronic device, and storage medium

The present disclosure describes human body attribute recognition methods and apparatus, electronic devices, and a storage medium. The method includes acquiring a sample image containing a plurality of to-be-detected areas being labeled with true values of human body attributes; generating, through a recognition model, a heat map of the sample image and heat maps of the to-be-detected areas to obtain a global heat map and local heat maps; fusing the global and the local heat maps to obtain a fused image, and performing human body attribute recognition on the fused image to obtain predicted values; determining a focus area of each type of human body attribute according to the global and the local heat maps; correcting the recognition model by using the focus area, the true values, and the predicted values; and performing, based on the corrected recognition model, human body attribute recognition on a to-be-recognized image.

METHOD, TERMINAL, AND STORAGE MEDIUM FOR TRACKING FACIAL CRITICAL AREA

Method, terminal, and storage medium for tracking facial critical area are provided. The method includes accessing a frame of image in a video file; obtaining coordinate frame data of a facial part in the image; determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part; obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part; accessing an adjacent next frame of image in the video file; obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; and obtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data thereof. 1. A facial critical area tracking method , comprising:accessing a frame of image in a video file;obtaining coordinate frame data of a facial part in the image by detecting a position of the facial part in the frame of the image;determining initial coordinate frame data of a critical area in the facial part according to the coordinate frame data of the facial part;obtaining coordinate frame data of the critical area according to the initial coordinate frame data of the critical area in the facial part;accessing an adjacent next frame of image in the video file;obtaining initial coordinate frame data of the critical area in the facial part for the adjacent next frame of image by using the coordinate frame data of the critical area in the frame; andobtaining coordinate frame data of the critical area for the adjacent next frame of image according to the initial coordinate frame data of the critical area in the adjacent next frame of image.2. The method according to claim 1 , further including:obtaining coordinate frame data of each of a plurality of frames of image, wherein the plurality of ...

METHOD, APPARATUS, SYSTEM, AND STORAGE MEDIUM FOR DETECTING INFORMATION CARD IN IMAGE

Method, apparatus, system, and storage medium for detecting an information card in an image are provided. The method includes performing a line detection to obtain two endpoints of a line segment corresponding to each of four sides of the information card; generating, a linear equation of the side; obtaining coordinates of four intersection points of the four sides of the information card; mapping the coordinates of the four intersection points to four corners of a rectangular box of the information card, to obtain a perspective transformation matrix; performing perspective transformation on image content encircled by four straight lines represented by the four linear equations to provide transformed image content; forming a gradient template according to a layout of information content on the information card; and using the gradient template to match with the transformed image content and determining whether the image content is a correct information card. 1. A method for detecting an information card in an image , comprising:performing a line detection in an information card image, to obtain two endpoints of a line segment corresponding to each of four sides of the information card;generating, according to the two endpoints of the line segment corresponding to each side, a linear equation corresponding to the side;obtaining coordinates of four intersection points according to the linear equations corresponding to the four sides of the information card;mapping the coordinates of the four intersection points to four corners of a rectangular box of the information card, to obtain a perspective transformation matrix;performing perspective transformation on image content encircled by four straight lines represented by the four linear equations according to the perspective transformation matrix to provide transformed image content;forming a gradient template according to a layout of information content on the information card; andusing the gradient template to match ...

FACE LIVENESS DETECTION METHOD, TERMINAL, SERVER AND STORAGE MEDIUM

A face liveness detection method includes outputting a prompt to complete one or more specified actions in sequence within a specified time period, obtaining a face video, detecting a reference face image frame in the face video using a face detection method, locating a facial keypoint in the reference face image frame, tracking the facial keypoint in one or more subsequent face image frames, determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint, and determining whether the one of the one or more specified actions is completed according to a continuity of the state parameter. 1. A face liveness detection method comprising:outputting a prompt to complete one or more specified actions in sequence within a specified time period;obtaining a face video;detecting a reference face image frame in the face video using a face detection method;locating a facial keypoint in the reference face image frame;tracking the facial keypoint in one or more subsequent face image frames;determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint; anddetermining, according to a continuity of the state parameter, whether the one of the one or more specified actions is completed.2. The method according to claim 1 , further comprising:determining that a live face exists if it is determined that the one or more specified actions is completed in sequence within the specified time period; ordetermining that no live face exists if it is determined that the one or more specified actions is not completed in sequence within the specified time period.3. The method according to claim 1 , wherein:detecting the reference face image frame using the face detection method includes detecting the reference face image frame using a face detection method based on deep convolutional neural network (CNN), andlocating the facial keypoint in the ...

ACTION RECOGNITION METHOD AND APPARATUS, COMPUTER STORAGE MEDIUM, AND COMPUTER DEVICE

An action recognition method includes: obtaining original feature submaps of each of temporal frames on a plurality of convolutional channels by using a multi-channel convolutional layer; calculating, by using each of the temporal frames as a target temporal frame, motion information weights of the target temporal frame on the convolutional channels according to original feature submaps of the target temporal frame and original feature submaps of a next temporal frame, and obtaining motion information feature maps of the target temporal frame on the convolutional channels according to the motion information weights; performing temporal convolution on the motion information feature maps of the target temporal frame to obtain temporal motion feature maps of the target temporal frame; and recognizing an action type of a moving object in image data of the target temporal frame according to the temporal motion feature maps of the target temporal frame on the convolutional channels. 1. An action recognition method , performed by a computer device , the method comprising:obtaining image data of video data in a plurality of temporal frames;obtaining original feature submaps of each of the temporal frames on a plurality of convolutional channels by using a multi-channel convolutional layer;calculating, by using each of the temporal frames as a target temporal frame, motion information weights of the target temporal frame on the convolutional channels according to the original feature submaps of the target temporal frame on the convolutional channels and the original feature submaps of a next temporal frame adjacent to the target temporal frame on the convolutional channels;obtaining motion information feature maps of the target temporal frame on the convolutional channels according to the motion information weights and the original feature submaps of the target temporal frame on the convolutional channels;performing temporal convolution on the motion information feature maps ...

FACE LIVENESS DETECTION METHOD AND RELATED APPARATUS

A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners. 1. A face liveness detection method performed by an electronic device , the method comprising:obtaining an initial face image of an object and a face image set of the object, the face image set comprising N face images of the object captured according to N illumination directions, the N illumination directions corresponding to N light source positions, the N light source positions being not on a same straight line, and N being an integer greater than or equal to 3;obtaining N difference images according to the initial face image and the N face images in the face image set;generating a normal map and an albedo map according to the N difference images and the N illumination directions, the normal map being an image formed based on normals corresponding to pixels, and the albedo map being an image formed based on albedos corresponding to the pixels; anddetermining a face liveness detection result according to the N difference images, the normal map, and the albedo map, wherein the face liveness detection result indicates whether the object has a live face or not.2. The method ...

METHOD AND APPARATUS FOR DETECTING FACIAL KEY POINTS, COMPUTER DEVICE, AND STORAGE MEDIUM

This application relates to a method and an apparatus for detecting facial key points, a computer device, and a storage medium including: acquiring a to-be-detected face image from a current frame; determining partial images in the to-be-detected face image, each partial image including one or more facial key points; determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; and jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image. For the partial images in the entire to-be-detected face image, the candidate points of the facial key points corresponding to the partial images are respectively determined. Therefore, a calculation amount may be reduced, and the efficiency of determining the candidate points of the facial key points is improved. 1. A method for detecting facial key points , performed by a computer device , the method comprising:acquiring a to-be-detected face image from a current frame;determining partial images in the to-be-detected face image, each partial image including one or more facial key points;determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; andjointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image.2. The method according to claim 1 , wherein the jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image comprises:jointly constraining the candidate points in the partial images based on a linear model to determine the set of facial key points for the to-be-detected face image.3. The method according to claim 1 , wherein the ...

LIVING BODY IDENTIFICATION METHOD, INFORMATION GENERATION METHOD, AND TERMINAL

The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met. The present disclosure resolves a problem in the related technology that even if a to-be-identified object performs an operation according to lip language prompt information, a terminal may incorrectly determine that the to-be-identified object is not a living body, and achieves an effect that the terminal can accurately determine whether the to-be-identified object is a living body and improve determining accuracy. 1. A method for living body identification , comprising:providing lip language prompt information, wherein the lip language prompt information comprises at least two target characters, and the at least two target characters are at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range;collecting at least two frame pictures;detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; anddetermining that the to-be-identified object is a living body, when the preset condition is met.2. The method according to ...

IMAGE RECOGNITION METHOD AND APPARATUS

The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition. 1. An image recognition method , comprising:extracting a local binary pattern (LBP) feature vector of a target image;calculating a high-dimensional feature vector of the target image according to the LBP feature vector;obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; andperforming image recognition on the target image according to the high-dimensional feature vector of the target image and the training matrix.2. The method according to claim 1 , wherein performing image recognition on the target image according to the high-dimensional feature vector of the target image and the training matrix comprises:obtaining a high-dimensional feature vector of a reference image; {'br': None, 'i': r', 'x', ',x', 'x', 'Ax', '+x', 'Ax', 'x', 'Gx, 'sub': 1', '2', '1', '1', '2', '2', '1', '2, 'sup': T', 'T', 'T, '()=−2;'}, 'calculating a similarity between the target image and the reference image according to the high-dimensional feature vector of the target image, the high-dimensional feature vector of the reference image, and the training matrix{'sub': 1', '2', '1', '1', '2', '2, ' ...

FACIAL TRACKING METHOD AND APPARATUS, AND STORAGE MEDIUM

A facial tracking method is provided. The method includes: obtaining, from a video stream, an image that currently needs to be processed as a current image frame; and obtaining coordinates of facial key points in a previous image frame and a confidence level corresponding to the previous image frame. The method also includes calculating coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold; and performing multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame. The method also includes calculating a confidence level of the coordinates of the facial key points in the current image frame, and returning to process a next frame until recognition on all image frames is completed. 1. A facial tracking method , performed by a computing terminal , comprising:obtaining, by the computing terminal from a video stream, an image that currently needs to be processed as a current image frame;obtaining, by the computing terminal, coordinates of facial key points in a previous image frame of the current image frame, and a confidence level of the coordinates of the facial key points in the previous image frame;calculating, by the computing terminal, coordinates of facial key points in the current image frame according to the coordinates of the facial key points in the previous image frame when the confidence level is higher than a preset threshold;performing, by the computing terminal, multi-face recognition on the current image frame according to the coordinates of the facial key points in the current image frame;calculating, by the computing terminal, a confidence level of the coordinates of the facial key points in the current image frame; andgoing back, by the computing terminal, to perform the step of obtaining, from the video stream, an image that currently ...

METHOD AND DEVICE FOR IDENTIFYING WHETHER STANDARD PICTURE CONTAINS WATERMARK

A method for identifying whether a standard picture contains a watermark is provided. After obtaining a set of sample standard pictures, one or more sample pictures in the set of sample standard pictures are adjusted to a preset size. The sample pictures in the set of sample standard pictures do not contain watermark information. Next, an average of pixel attribute values of the sample pictures at pixel positions of the preset size is calculated. The average of the pixel attribute values at the pixel positions of the preset size is normalized to obtain the watermark-presence probabilities of the pixel positions of the preset size. Then, a target picture is adjusted to the preset size and a sum of products of pixel attribute values of the target picture at the pixel positions of the preset size and the corresponding watermark-presence probability are calculated. Finally, it is determined whether the target picture contains a watermark according to the sum of products. 1. A method for identifying whether a standard picture contains a watermark , comprising: obtaining a set of sample standard pictures;', 'adjusting sample standard pictures in the set of sample standard pictures to a preset size, the sample pictures in the set of sample standard pictures not containing watermark information;', 'calculating an average of pixel attribute values of the sample pictures in the set of sample standard pictures at pixel positions of the preset size;', 'normalizing the average of the pixel attribute values at the pixel positions of the preset size;', 'obtaining watermark-presence probabilities of the pixel positions of the preset size, wherein the watermark-presence probability of the pixel positions of the preset size is defined as a complementary event probability of a probability expressed by the average of the pixel attribute values at the pixel positions of the preset size;', 'obtaining a target picture that is adjusted to the preset size; and', 'calculating a sum of ...

METHOD AND APPARATUS FOR DETERMINING FACIAL POSE ANGLE, AND COMPUTER STORAGE MEDIUM

A method of determining a facial pose angle of a human face within an image is provided. After capturing a first image of the human face, respective coordinates of a predefined set of facial feature points of the human face in the first image are obtained. The predefined set of facial feature points includes an odd number of facial feature points, e.g., at least a first pair of symmetrical facial feature points, a second pair of symmetrical facial feature points, and a first single facial feature point. The predefined set of facial feature points are not coplanar. Next, one or more predefined key values based on the respective coordinates of the predefined set of facial feature points of the human face in the first image are calculated. Finally, a pre-established correspondence table is queried using the one or more predefined key values to determine the facial pose angle of the human face in the first image. 1. A method , comprising: while displaying a graphical user interface on a display device, capturing a first image of a human face in front of the display device;', 'obtaining respective coordinates of a predefined set of facial feature points of the human face in the first image, wherein the predefined set of facial feature points includes an odd number of facial feature points, including at least a first pair of symmetrical facial feature points, a second pair of symmetrical facial feature points, and a first single facial feature point, and wherein the predefined set of facial feature points are not coplanar;', 'calculating one or more predefined key values based on the respective coordinates of the predefined set of facial feature points of the human face in the first image;', 'querying a pre-established correspondence table using the one or more predefined key values that have been calculated to determine the facial pose angle of the human face in the first image; and', 'in accordance with a determination that the facial pose angle is a first angular value ...

METHOD, DEVICE, AND SYSTEM FOR ADDING CONTACTS IN SOCIAL NETWORK

Aspects of the disclosure provide a method for adding a target contact to a user's friend list in a social network. A target image of a human body part of the target contact can be received from a user terminal. A target biological feature can be extracted from the target image. Whether the target biological feature matches a reference biological feature of a plurality of prestored reference biological features can be determined. A social account associated with the determined reference biological feature that matches the target biological feature may be determined, and added to the user's friend list. 1. A method for adding a target contact to a user's friend list in a social network , comprising:receiving, by circuitry of an information processing apparatus, a target image of a human body part of the target contact from a first user terminal;extracting, by the circuitry of the information processing apparatus, a target biological feature from the target image;determining, by the circuitry of the information processing apparatus, whether the target biological feature matches a reference biological feature of a plurality of prestored reference biological features;determining, by the circuitry of the information processing apparatus, a social account associated with the determined reference biological feature that matches the target biological feature;and adding, by the circuitry of the information processing apparatus, the determined social account of the target contact to the user's friend list.2. The method according to claim 1 , further comprising:obtaining location information of user terminals of users of the social network;obtaining one or more online social accounts of the users of the user terminals located within an area neighboring the first user terminal according to the obtained location information; andobtaining reference biological features from the plurality of prestored reference biological features that are associated with the one or more social ...

HUMAN FACE RECOGNITION METHOD AND RECOGNITION SYSTEM

The embodiment of the present invention provides a human face recognition method and recognition system. The method includes that: a human face recognition request is acquired, and a statement is randomly generated according to the human face recognition request; audio data and video data returned by a user in response to the statement are acquired; corresponding voice information is acquired according to the audio data; corresponding lip movement information is acquired according to the video data; and when the lip movement information and the voice information satisfy a preset rule, the human face recognition request is permitted. By performing fit goodness matching between the lip movement information and voice information in a video for dynamic human face recognition, an attack by human face recognition with a real photo may be effectively avoided, and higher security is achieved. 1. A human face recognition method performed at an apparatus having one or more processors and one or more memories for storing instructions to be executed by the one or more processors , wherein the method comprises:acquiring a human face recognition request, and randomly generating a statement according to the human face recognition request;acquiring audio data and video data returned by a user in response to the statement;acquiring corresponding voice information according to the audio data;acquiring corresponding lip movement information according to the video data; andwhen the lip movement information and the voice information satisfy a preset rule, permitting the human face recognition request.2. The human face recognition method according to claim 1 , wherein the permitting the human face recognition request when the lip movement information and the voice information satisfy the preset rule comprises:setting the preset rule, which comprises a fit goodness threshold value;judging whether fit goodness between the lip movement information and the voice information is higher than ...

3D HUMAN FACE RECONSTRUCTION METHOD, APPARATUS AND SERVER

A 3D human face reconstruction method and apparatus, and a server are provided. In some embodiments, the method includes determining feature points on an acquired 2D human face image; determining posture parameters of a human face according to the feature points, and adjusting a posture of a universal 3D human face model according to the posture parameters; determining points on the universal 3D human face model corresponding to the feature points, and adjusting the corresponding points in a sheltered status to obtain a preliminary 3D human face model; and performing deformation adjusting on the preliminary 3D human face model, and performing texture mapping on the deformed 3D human face model to obtain a final 3D human face. 1. A three-dimensional (3D) human face reconstruction method , comprising:obtaining a two-dimensional (2D) human face image for 3D human face reconstruction, and determining feature points on the 2D human face image, wherein the feature points are representative of a human face contour;determining posture parameters of a human face by using the feature points, and adjusting, based on the posture parameters, a posture of a general 3D human face model obtained in advance;determining points on the general 3D human face model corresponding to the feature points, and adjusting the corresponding points in a blocking state to obtain a preliminary 3D human face model;performing deformation adjusting on the preliminary 3D human face model to obtain a deformed 3D human face model, so that a positional relationship among the corresponding points on the deformed 3D human face model is consistent with a positional relationship among the feature points on the 2D human face image; andperforming texture mapping on the deformed 3D human face model to obtain a 3D human face,wherein the method is performed by one or more processors.2. The method according to claim 1 , wherein adjusting the corresponding points in the blocking state to obtain the preliminary 3D ...

Evaluation method and evaluation device for facial key point positioning result

Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.

Image processing method and apparatus

Embodiments of the present disclosure provide an image processing method and apparatus. The method includes detecting a human face region in each frame of an image in a to-be-processed video; locating a lip region in the human face region; extracting feature column pixels in the lip region from each frame of the image; building a lip change graph based on the feature column pixels; and recognizing a lip movement according to a pattern feature of the lip change graph.

Face model matrix training method and apparatus, and storage medium

Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

METHOD AND APPARATUS FOR DETECTING GLASSES IN A FACE IMAGE

This application discloses a method and a terminal for detecting glasses in a face image. The method includes: obtaining a face image; determining a nose bridge region in the face image; detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region; and determining whether there are glasses in the face image according to the image change result of the nose bridge region. The terminal for detecting glasses in a face image matches the method. 1. A method for detecting glasses in a face image performed at a computing device having one or more processors and memory storing one or more programs to be executed by the one or more processors , the method comprising:obtaining a face image;determining a nose bridge region in the face image;detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region; anddetermining whether there are glasses in the face image according to the image change result of the nose bridge region.2. The method according to claim 1 , wherein the image change is a gradient change claim 1 , and the operation of detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region comprises:determining a face region in the face image, and positioning the nose bridge region in the face region; andperforming an operation on the nose bridge region and obtaining a gradient change result of the nose bridge region.3. The method according to claim 2 , wherein the operation of determining a face region in the face image claim 2 , and positioning the nose bridge region in the face region comprises:performing face location detection in the face image to obtain location information corresponding to the face region; andperforming facial feature registration in the face region according to the location information, to obtain the nose bridge region.4. The method according to claim 2 , wherein the operation of performing an operation ...

Image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product

An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.

Image processing method and apparatus

This disclosure relates to image processing method and apparatus. The method includes: processing, with a first generator in an image processing model, a first sample image in a first sample set to obtain a first predicted image; processing, with the first generator, a second sample image in a second sample set to obtain a second predicted image; and training the image processing model according to a difference between the target avatar in the first sample image and the first predicted avatar and a difference between a first type attribute of the sample avatar in the second sample image and a first type attribute of the second predicted avatar.

Feature point locating method, storage medium and computer device

The present application relates to a feature point locating method, a storage medium and a computer device. The method comprises: locating a target area in a current image; determining an image feature difference between a target area in a reference image and the target area in the current image, wherein the reference image is a frame of image comprising the target area and is processed before the current image; by means of a feature point position difference determination model and the image feature difference, determining a target feature point position difference between the target area in the reference image and the target area in the current image; and according to a target feature point position of the target area in the reference image and the target feature point position difference, locating a target feature point in the target area in the current image. The solution provided by the present application improves the accuracy of feature point locating.

Image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product

An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.

Image processing method and apparatus, system, and storage medium

An image processing method and apparatus that includes: performing feature extraction processing on N image regions of a to-be-processed image respectively to obtain feature data corresponding to the N image regions respectively, N being an integer greater than or equal to 1, performing defect detection on the N image regions respectively according to the feature data corresponding to the N image regions respectively to obtain a prediction probability of a defect in each of the N image regions, obtaining attention for each image region, adjusting the prediction probability of the defect in each image region according to the attention for each image region, and generating a prediction result of the to-be-processed image according to the adjusted prediction probability of each image region.

Face liveness detection method and related apparatus

A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.

Image super-resolution method using frequency domain features

An image super-resolution method includes performing frequency domain transformation on a first image to obtain a spectral feature of the first image, the spectral feature representing a distribution of a grayscale gradient in the first image. The method further includes performing blur kernel prediction based on the spectral feature to obtain a blur kernel of the first image, the blur kernel being a convolution kernel. The method also includes performing super-resolution processing on the first image based on the blur kernel to generate a super-resolved image, a definition of the super-resolved image being higher than a definition of the first image.

Image processing method and apparatus, device, storage medium, and computer program product

An image processing method is provided. During image matting on an original image, a plurality of segmented images including different regions are first obtained through semantic segmentation. Further, according to the segmented images, lines of different widths are drawn on a contour line of a foreground region to obtain a target trimap. Finally, a target image is generated based on the target trimap. For the target trimap, because lines of different widths are drawn on the contour line of the foreground region, pertinent image matting can be implemented for different regions, so that image matting precision can be improved for a region requiring fine image matting, and image matting precision of another region can also be ensured. In this way, a final image obtained through image matting is fine and natural.

Human body attribute recognition method and apparatus, electronic device, and storage medium

The present disclosure describes human body attribute recognition methods and apparatus, electronic devices, and a storage medium. The method includes acquiring a sample image containing a plurality of to-be-detected areas being labeled with true values of human body attributes; generating, through a recognition model, a heat map of the sample image and heat maps of the to-be-detected areas to obtain a global heat map and local heat maps; fusing the global and the local heat maps to obtain a fused image, and performing human body attribute recognition on the fused image to obtain predicted values; determining a focus area of each type of human body attribute according to the global and the local heat maps; correcting the recognition model by using the focus area, the true values, and the predicted values; and performing, based on the corrected recognition model, human body attribute recognition on a to-be-recognized image.

Action recognition method and apparatus, computer storage medium, and computer device

An action recognition method includes: obtaining original feature submaps of each of temporal frames on a plurality of convolutional channels by using a multi-channel convolutional layer; calculating, by using each of the temporal frames as a target temporal frame, motion information weights of the target temporal frame on the convolutional channels according to original feature submaps of the target temporal frame and original feature submaps of a next temporal frame, and obtaining motion information feature maps of the target temporal frame on the convolutional channels according to the motion information weights; performing temporal convolution on the motion information feature maps of the target temporal frame to obtain temporal motion feature maps of the target temporal frame; and recognizing an action type of a moving object in image data of the target temporal frame according to the temporal motion feature maps of the target temporal frame on the convolutional channels.

Method and apparatus for detecting facial key points, computer device, and storage medium

This application relates to a method and an apparatus for detecting facial key points, a computer device, and a storage medium including: acquiring a to-be-detected face image from a current frame; determining partial images in the to-be-detected face image, each partial image including one or more facial key points; determining, within each of the partial images, candidate points of the one or more facial key points corresponding to the partial image, respectively; and jointly constraining the candidate points in the partial images to determine a set of facial key points from the candidate points for the to-be-detected face image. For the partial images in the entire to-be-detected face image, the candidate points of the facial key points corresponding to the partial images are respectively determined. Therefore, a calculation amount may be reduced, and the efficiency of determining the candidate points of the facial key points is improved.

Image processing method and apparatus, and computer device, storage medium and program product

This application provides an image processing method and apparatus, a computer device, a storage medium, and a program product, and relates to technical fields such as artificial intelligence, machine learning, and intelligent transportation. In response to a face change request, an identity feature of a source image and an initial attribute feature of at least one scale of a target image are inputted into a face change model, where the face change request is used for requesting to change a target face in the target image into a source face in the source image; and feature fusion is iteratively performed on the identity feature and the initial attribute feature of the at least one scale to obtain a post-fusion feature by using the face change model. A target face change image is generated based on the post-fusion feature by using the face change model, and the target face change image is outputted. A face in the target face change image is fused with an identity feature of the source face and a target attribute feature of the target face.

Facial verification method, device, and computer storage medium

Training method of image processing model, image processing method, apparatus, and device

A method, an apparatus, and a device for image processing and a training method thereof are provided. The training method includes obtaining a sample image set, the sample image set comprising a first number of sample images; constructing an image feature set based on the sample image set, the image feature set comprising an image feature extracted from each of the sample images in the sample image set; obtaining a training image set, the training image set comprising a second number of training images; constructing multiple training image pairs based on the training image set and the image feature set; and training the image processing model based on the multiple training image pairs.

Video processing method and apparatus, computer device, and storage medium

A video processing method includes: obtaining a first video frame and a second video frame in a target video, the first video frame being a previous frame of the second video frame; inputting the first video frame and the second video frame to a target neural network, and obtaining a target intermediate video frame output by the target neural network, the target neural network being trained based on an optical flow distillation constraint and a feature consistency constraint; and interpolating the target intermediate video frame between the first video frame and the second video frame.

Human face model matrix training method and apparatus, and storage medium

Method and device for determining rotation angle of human face, and computer-readable storage medium

Image processing method and apparatus, and computer-readable storage medium

Embodiments of this application disclose an image processing method and apparatus, and a computer-readable storage medium. The method includes acquiring an image pair to be processed, and performing image feature extraction on an image to be processed in the image pair to be processed to obtain an image; extracting an association feature from the image feature, the association feature characterizing mutual information between images in the image pair to be processed; identifying a common view image of a common view region in the image to be processed according to the association feature, and calculating a scale difference between common view images; adjusting a size of the common view image based on the scale difference to obtain an adjusted common view image; and extracting at least one common view feature point from each of the adjusted common view images, and processing the image based on the common view feature point.

Face liveness detection method and related apparatus

A face liveness detection method, applied to the field of artificial intelligence. The method comprises: determining an initial face image and a set of face images corresponding to N illumination directions; determining N differential images according to the initial face image and the set of face images; generating a normal map and a reflectivity map according to the N differential images and the N illumination directions; and determining the face liveness detection result according to the N differential images, the normal map, and the reflectivity map. Also disclosed are a related apparatus, a device, and a storage medium. Three-dimensional geometric information and surface material information of the face image are taken into consideration simultaneously; therefore, the authenticity of the face image can be identified, and different face liveness attack approaches can be effectively resisted.

Image processing method, apparatus and device, and computer-readable storage medium

An image processing method, apparatus and device, and a computer-readable storage medium. The method comprises: invoking a first generator to separately perform generative processing on a first sample image and a second sample image to obtain a first predicted image and a second predicted image; and training an image processing model on the basis of the head portrait difference between the first sample image and the first predicted image, and the specified attribute difference between the second sample image and the second predicted image, the image processing model being used for replacing a head portrait in an input image with a target head portrait, and retaining a first type of attributes of the head portrait in the input image. Therefore, the authenticity of the replaced head portrait is high, and the accuracy of image processing and the replacement effect are improved.

Image optimization

In an image optimization method, an image generation network, a to-be-optimized image, and a plurality of preset image features are obtained. A target feature is selected from the plurality of preset image features based on (i) the target feature and the to-be-optimized image and (ii) a preset similarity condition. The target feature and an initial offset parameter are input to the image generation network. The initial offset parameter is adjusted according to a difference between an output of the image generation network and the to-be-optimized image, to obtain a target offset parameter. The target feature and the target offset parameter are input to the image generation network, to generate an optimized image. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Image processing method and apparatus, computer, readable storage medium, and program product

This application discloses a method for generating an image processing model performed by a computer device. The method includes: performing training by using a first source image sample, a first template image sample, and a first standard synthesized image, to obtain a first parameter adjustment model, and combining the first parameter adjustment model and a first resolution update layer into a first update model; adjusting the first update model into a second parameter adjustment model using a second source image sample and a second template image sample and a second standard synthesized image; combining the second parameter adjustment model and a second resolution update layer into a second update model; and adjusting the second update model into a target image fusion model using a third source image sample, a third template image sample and a third standard synthesized image.

Model training method and apparatus, identity anonymization method and apparatus, device, storage medium, and program product

Three-dimensional model reconstruction method and apparatus, and three-dimensional reconstruction model training method and apparatus

Image processing method and apparatus, computer device, storage medium, and program product

This application provides an image processing method and apparatus. The method includes acquiring an identity feature of a source image and an initial attribute feature of at least one measure of a target image in response to receiving a face change request; inputting the identity feature and the initial attribute feature of the at least one measure into a face change model; iteratively performing feature fusion on the identity feature and the initial attribute feature of the at least one measure by using the face change model to obtain a fusion feature; and generating a target face change image based on the fusion feature by using the face change model, and outputting the target face change image, a face in the target face change image being fused with an identity feature of the source face and a target attribute feature of the target face.

Image processing method and apparatus, computer device, and storage medium

An image processing method including obtaining a fake template sample group comprising a first source image, a real labeled image, and a fake template image, inputting the fake template image into an identity swapping model to obtain a first identity swapping image of the fake template image, obtaining a fake labeled sample group comprising a second source image, a real template image, and a fake labeled image, the fake labeled image being based on identity swapping processing of the real template image, inputting the real template image into the identity swapping model to obtain a second identity swapping image of the real template image, and training the identity swapping model based on the fake template sample group, the first identity swapping image, the fake labeled sample group, and the second identity swapping image to generate a trained identity swapping model.

Human body attribute recognition method and apparatus, electronic device and storage medium

Disclosed in the embodiments of the present application are a human body attribute recognition method and apparatus, an electronic device and a storage medium. The human body attribute recognition method is executed by the electronic device, and comprises: acquiring a human body image sample comprising a plurality of detection regions, the detection regions being labeled with real values of human body attributes; generating a thermal image of the human body image sample and a thermal image of a region to be detected by means of a recognition model so as to obtain a global thermal image and a local thermal image corresponding to the human body image sample; fusing the global thermal image and the local thermal image, and performing human body attribute recognition on the fused image to obtain predicted values of the human body attributes of the human body image sample; determining a region of interest for each type of human body attribute according to the global thermal image and the local thermal image; correcting the recognition model by using the regions of interest, the real values of the human body attributes and the predicted values of the human body attributes; and on the basis of the corrected recognition model, performing human body attribute recognition on an image to be recognized.

Model training method and apparatus, deidentification method and apparatus, device, and storage medium

An de-identification method includes: performing sampling on a target space of a projector in a target network model to obtain N virtual identity vectors, N being a positive integer; extracting, by using an attribute extractor in the target network model, M attribute vectors from a target image, M being a positive integer; and generating, by using a generator in the target network model, a de-identified image of the target image based on the N virtual identity vectors and the M attribute vectors.

Image processing method and apparatus, computer device, computer-readable storage medium, and computer program product

This application provides an image processing method performed by a computer device. The image processing method includes: receiving a face swapping request; acquiring an attribute parameter of the image, an attribute parameter of the target face, and a face feature of the target face, the attribute parameter of the image indicating a three-dimensional attribute of the face in the image; determining a target attribute parameter based on the attribute parameter of the image and the attribute parameter of the target face; determining a target comprehensive feature based on the target attribute parameter and the face feature of the target face; encoding the image to obtain an image encoding feature of the image; migrating the target comprehensive feature to the image encoding feature of the image by normalization to obtain a fusion encoding feature; and decoding the fusion encoding feature to obtain a target face-swapped image including a fusion face.

Image optimization method and apparatus, electronic device, medium, and program product

Embodiments of this application disclose an image optimization method and apparatus, an electronic device, a medium, and a program product, which can be used in the field of artificial intelligence based on technologies such as computer vision. In the embodiments of this application, an image generation network, a to-be-optimized image, and a plurality of preset image features are obtained; a target feature is selected from the plurality of preset image features, the target feature and the to-be-optimized image meeting a preset similarity condition; an initial offset parameter is adjusted according to the image generation network, the target feature, and the to-be-optimized image, to obtain a target offset parameter; and the target feature and the target offset parameter are inputted to the image generation network, to generate an optimized image. In the embodiments of this application, the target feature corresponding to the to-be-optimized image may be selected from the plurality of preset image features, and the target offset parameter may be obtained through adjustment. The optimized image may be generated by using the target feature in combination with the target offset parameter, to improve an optimization effect of the image.

Image processing method and apparatus, device, storage medium, and computer program product

Image generation method and related device

This application discloses an image generation method and related devices, and related embodiments may be applied to various scenarios such as cloud technology, artificial intelligence, intelligent transportation, and assistant driving. An original face image frame, audio driving information, and emotion driving information of a to-be-adjusted object may be obtained; spatial feature extraction is performed on the original face image frame, to obtain an original face spatial feature; feature interaction processing is performed on the audio driving information and the emotion driving information, to obtain a face local pose feature; and face reconstruction processing is performed on the to-be-adjusted object based on the original face spatial feature and the face local pose feature, to generate a target face image frame. In this application, partial face pose detail information of the to-be-adjusted object may be captured using the audio driving information and the emotion driving information, and then face adjustment is performed on the original face image frame, to obtain the corresponding target face image frame. In this way, an improvement in generation efficiency and accuracy of the target face image frame is facilitated.

Image super-resolution method, apparatus and device, and storage medium

An image processing method and apparatus, a device, and a storage medium, relating to the technical field of image processing. The method includes: performing frequency domain transformation on a first image to obtain a spectral feature of the first image (401); performing blur kernel prediction on the basis of the spectral feature to obtain a blur kernel of the first image (402); and performing super-resolution processing on the first image on the basis of the blur kernel to generate a super-resolved image (403). The method can improve the quality of a high-resolution image obtained after super-resolution processing.

Image processing method and apparatus, computer device, computer-readable storage medium, and computer program product

Embodiments of the present application relate to the fields of artificial intelligence, computer vision, maps and intelligent transportation, and provide an image processing method and apparatus, a computer device, a computer-readable storage medium, and a computer program product. The method comprises: receiving a face swapping request; acquiring an attribute parameter of an image to be subjected to face swapping, an attribute parameter of a target face and a face feature of the target face, the attribute parameter of said image indicating a three-dimensional attribute of a face in said image; determining a target attribute parameter on the basis of the attribute parameter of said image and the attribute parameter of the target face; determining a target comprehensive feature on the basis of the target attribute parameter and the face feature of the target face; encoding said image to obtain an image encoding feature of said image; migrating the target comprehensive feature into the image encoding feature of said image in a regularization mode to obtain a fused encoding feature; and decoding the fused encoding feature to obtain a target face-swapped image comprising a fused face.

Target tracking method, computer device, and storage medium

A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.

Image generation method and related device

An image generation method, performed by an electronic device includes obtaining an original face image frame, audio driving information, and emotion driving information, performing spatial feature extraction on the original face image frame to obtain an original face spatial feature corresponding to the original face image frame; performing feature interaction processing on the audio driving information and the emotion driving information to obtain a face local pose feature of the to-be-adjusted object issuing the voice content with the target emotion; and performing, based on the original face spatial feature and the face local pose feature, face reconstruction processing on the to-be-adjusted object to generate a target face image frame.

Image processing method, apparatus and device, and computer-readable storage medium

Image processing method and apparatus, and computer-readable storage medium

Disclosed in the embodiments of the present application are an image processing method and apparatus, and a computer-readable storage medium, which are applied to various scenarios such as cloud technology, artificial intelligence, intelligent transportation and assisted driving. The method comprises: acquiring an image pair to be processed, and performing image feature extraction on images to be processed that are in said image pair, so as to obtain image features of said images (101); extracting an associated feature of said image pair from the image features (102); according to the associated feature, identifying common-view images of common-view areas from said images, and calculating the scale difference between the common-view images (103); adjusting the sizes of the common-view images on the basis of the scale difference (104); and extracting at least one common-view feature point from each adjusted common-view image, and processing said image pair on the basis of the common-view feature point (105).

Facial image processing method and apparatus, device, and storage medium

A facial image processing method includes: obtaining first optical flow information; obtaining, based on the first optical flow information, second optical flow information through an optical flow information prediction sub-model of an image processing model; generating, based on the first facial sample image and the second optical flow information, a predicted image of the first facial sample image through a generator of the image processing model; discriminating the predicted image and the second facial sample image through a discriminator of the image processing model to obtain a first discrimination result and a second discrimination result; and training the image processing model based on the first discrimination result, the second discrimination result, the predicted image, the second facial sample image, the first optical flow information, and the second optical flow information.

Gaze correction method and apparatus for image, electronic device, computer-readable storage medium, and computer program product

Target tracking method, computer device, and storage medium

The present application relates to a target tracking method, a computer device, and a storage medium. The method comprises: determining a target candidate region of the current image frame; intercepting a target candidate image matching the target candidate region in the current image frame; determining, according to an image feature of the target candidate image, a target region of the current image frame; determining, by means of a motion prediction model and according to the image feature of the target candidate image, motion prediction data of the next image frame relative to the current image frame; and determining, according to the target region and the motion prediction data, a target candidate region of the next image frame. According to the solution of the present application, the determination of a target region in a target candidate region may be ensured, thereby improving the target tracking accuracy, and reducing the target tracking loss rate.

Face liveness detection method and related apparatus

Asphaltene dispersion stabilizer and preparation method therefor

The present invention provides an asphaltene dispersion stabilizer and a preparation method therefor, and relates to the technical field of oilfield additives. The asphaltene dispersion stabilizer is prepared by the following method: taking iminodisuccinic acid or salt thereof, and performing Michael addition reaction on the iminodisuccinic acid or the salt thereof and unsaturated sulfonate to prepare a first intermediate; taking the first intermediate, and performing amidation reaction on the first intermediate and a first monomer under the action of a catalyst to obtain a second intermediate; and preparing a dendrimer by taking the second intermediate as a core and taking a second monomer and a third monomer as raw materials, wherein the dendrimer is the asphaltene dispersion stabilizer, and the generation number of the dendrimer is 0.5 generations, 1.5 generations or 2.5 generations. The asphaltene dispersion stabilizer of the present invention has a good dispersion stabilization effect on asphaltene.

Video processing method and apparatus, and computer device and storage medium

Disclosed in the present application is a video processing method. The method comprises: acquiring a first video frame and a second video frame in a target video, wherein the first video frame is a previous frame of the second video frame; inputting the first video frame and the second video frame into a pre-trained target neural network, and outputting a target intermediate video frame, wherein the target neural network is obtained by means of training on the basis of an optical flow distillation constraint and a feature consistency constraint; and interpolating the target intermediate video frame between the first video frame and the second video frame.

Face detection method, apparatus, and device, and training method, apparatus, and device for image detection neural network

A face detection method includes: acquiring a target image; invoking a face detection network, and processing the target image by using a feature extraction structure of the face detection network, to obtain original feature maps corresponding to the target image; the original feature maps having different resolutions; processing the original feature maps by using a feature enhancement structure of the face detection network, to obtain an enhanced feature map corresponding to each original feature map; the feature enhancement structure being obtained by searching a search space, and the search space used for searching the feature enhancement structure being determined based on a detection objective of the face detection network and a processing object of the feature enhancement structure; and processing the enhanced feature map by using a detection structure of the face detection network, to obtain a face detection result of the target image.

Image processing method and apparatus, and computer device, storage medium and program product