Abstract: The present invention provides a method for registering a circuit design layout and a scanning electron microscope image. The method comprises: step S1, providing a circuit design layout and a scanning electron microscope image; step S2: processing the circuit design layout to acquire a binary design layout image, and processing the scanning electron microscope image to acquire a binary scanning electron microscope image; step S3: performing Gaussian filtering on the binary design layout image and the binary scanning electron microscope image to maximize a gray value at a central axis of regions corresponding to a design pattern and a scanned pattern; and Step S4: performing registration according to the central axis of the design pattern and the scanned pattern. The present invention also provides a system for registering a circuit design layout and a scanning electron microscope image, a circuit design layout and an imaging error calculation method thereof, and an electronic device.

Abstract: A virtual-environment-based object construction method and apparatus, and a computer-readable storage medium are disclosed in this disclosure, relating to the field of virtual environment. Performed by a terminal comprising a camera, the method including: displaying an environment interface; receiving a capture operation being used for acquiring three-dimensional (3D) information of a to-be-acquired object; receiving a position input operation for determining a display position of the target object in the virtual environment; and displaying the target object at the display position in the virtual environment according to the capture operation and the position input operation.

Abstract: A system and a method for detecting animals in a region of interest are disclosed. An image that captures a scene in the region of interest is received. The image is fed to an animal detection model to produce a group of probability maps for a group of key points and a group of affinity field maps for a group of key point sets. One or more connection graphs are determined based on the group of probability maps and the group of affinity field maps. Each connection graph outlines a presence of an animal in the image. One or more animals present in the region of interest are detected based on the one or more connection graphs.

Abstract: This application discloses a virtual object control method and apparatus, a computer device, and a storage medium. The virtual control method includes detecting a selection operation on a target skill, the target skill adjusting an action effect of a target virtual prop to a target action effect, the target virtual prop being a virtual prop of a first virtual object; determining, in response to detecting the selection operation on the target skill, a target virtual object in a virtual scene, the target virtual object being an action target of the target virtual prop; and triggering the target virtual prop to perform in an automatic attack mode when the target virtual object is in an action region of the target virtual prop, the automatic attack mode including automatically initiating an attack on the target virtual object when detecting no triggering operation on the target virtual prop.

Abstract: Video coding/decoding can improve the uniformity of pixel strings and provide for increased coding and decoding efficiency. String length information of a current string from a bit stream is decoded. Based on the string length information and a determined string length resolution (SLR) of the current string a string length of the current string is determined. By using the SLR as a basis for dividing and decoding the pixel string, the length of the pixel string in a coding block can be limited to a multiple of the SLR, which improves uniformity of pixel strings, so that a decoder end can perform decoding with memory alignment, thereby improving decoding efficiency of the pixel strings.

Abstract: A virtual scenario generation method includes acquiring scenario characteristic information corresponding to a target virtual scenario to be generated; generating a scenario division mesh in an initial virtual scenario based on the scenario characteristic information, the scenario division mesh comprising division marking data configured to divide the initial virtual scenario; generating a scenario object collection which is about to be added to the scenario division mesh and comprises one or more scenario objects; performing attribute matching on the one or more scenario objects and the division marking data to obtain one or more candidate scenario objects allocated to the division marking data; selecting a target scenario object from the one or more candidate scenario objects according to position associated information between the candidate scenario objects and the division marking data; and matching the target scenario object with the division marking data to generate the target virtual scenario.

Abstract: The present disclosure relates to an ultrasound elastography system and method. The system may include a transmitting/receiving unit which transmits ultrasound pulses to a target and receives ultrasound echoes from the target to obtain the ultrasound echo signals; an imaging unit which processes the ultrasound echo signals and displays the obtained image; and an analysis unit which detects a region of interest and a shell region selected by an operator in the image, calculate elasticity parameters in a reference region and the shell region respectively, and analyzes the elasticity parameters to obtain an analysis result.

Abstract: A method and an apparatus for determining a selected target, a device, and a storage medium belong to the field of computer technologies. The method includes: displaying a thumbnail map, the thumbnail map displaying at least one target; presenting, in a target presentation menu, without overlap, and based on a trigger instruction targeting a combined stack response area in the thumbnail map, at least two stacked targets in the combined stack response area, the combined stack response area being a combined area of trigger response areas respectively corresponding to the at least two stacked targets in the thumbnail map; and determining a first target presented in the target presentation menu as a selected target based on a target trigger instruction targeting the first target, the first target being one of the at least two stacked targets.