This application provides an imaging method and an optical imaging system. One example method includes: obtaining a first modulation parameter, wherein the first modulation parameter is determined based on a first distorted image and a first target image, the first distorted image is an image presented after imaging processing is performed on a training image by using the optical imaging system and a screen, the first target image is an image of the training image, and distortion of the first target image falls within a preset range; and controlling the spatial light modulator to modulate an electrical signal of a to-be-imaged first image based on the first modulation parameter, and to generate an imaging light beam that is incident to human eyes through the lens and the screen.

An electronic device and a control method thereof are provided. The control method of an electronic device includes the steps of when a user command for initiating video recording is received, transmitting, to an external device connected to the electronic device, a first signal including a request for initiating video recording, acquiring a first image according to the user command, acquiring a first score for composition of the first image by using a trained neural network model, when a second signal including a second score for composition of a second image acquired by the external device is received according to the first signal, identifying, from the second image, at least one merging section to be merged into the first image, on the basis of the first score and the second score, transmitting, to the external device, a third signal including a request for image data corresponding to the at least one merging section, and when a fourth signal including the image data is received according to the third signal, acquiring a third image by merging an image corresponding to the at least one merging section into the first image on the basis of the image data.

An image capturing apparatus, which includes a mounting part capable of attaching/detaching a device capable of at least storing a captured image, generates image data based on the captured image, if the device mounted in the mounting part can execute image analysis processing for the image data, determines, based on information obtained from the device, a method to be used to obtain a result of the image analysis processing from the device, outputs the image data to the device; and obtains the result from the device using the determined method.

Methods and apparatus for image processing. The method comprises generating a first image having a first resolution, searching, by processing circuitry, the first image to determine whether a target object can be identified in the first image, specifying, when it is determined that the target object can be identified in the first image, a region-of-interest in the first image, generating, when it is determined that the target object cannot be identified in the first image, a second image having a second resolution higher than the first resolution, searching, by the processing circuitry, the second image to determine whether the target object can be identified in the second image, and specifying, when it is determined that the target object can be identified in the second image, a region-of-interest in the second image.

An imaging device of the present disclosure includes a pixel array part in which pixels including photoelectric conversion units are disposed, an image processing unit for imaging that acquires captured image information on the basis of a pixel signal output from each pixel of the pixel array part, and an object recognition processing unit that acquires object recognition information on the basis of the pixel signal output from each pixel of the pixel array part. Further, a vehicle control system of the present disclosure has the imaging device having the aforementioned configuration.

An information processing apparatus includes a processor and a memory connected to or built in the processor. In a case in which imaging accompanied by a focus operation in which a specific subject is used as a focus target region is performed by an image sensor, the processor outputs specific subject data related to a specific subject image indicating the specific subject in a captured image obtained by the imaging as data used in machine learning.

Various techniques are provided to generate a list of node names that cause a node in a machine vision camera to be locked. In one example, a method includes receiving a file identifying a plurality of nodes corresponding to associated features of a device, wherein each of the nodes has an associated plurality of settings and each of the nodes is configured to be in either an unlocked state to permit adjustment of its associated settings by a user or a locked state to prevent adjustment of its associated settings by the user; receiving a request by the user that identifies a first one of the nodes in the locked state; parsing at least a portion of the file to identify a second one of the nodes having associated settings on which the locked state of the first node is contingent; and presenting the associated settings of the second node to the user. Additional methods and systems are also provided.

Various techniques are provided to generate a list of node names that cause a node in a machine vision camera to be locked. In one example, a method includes receiving a file identifying a plurality of nodes corresponding to associated features of a device, wherein each of the nodes has an associated plurality of settings and each of the nodes is configured to be in either an unlocked state to permit adjustment of its associated settings by a user or a locked state to prevent adjustment of its associated settings by the user; receiving a request by the user that identifies a first one of the nodes in the locked state; parsing at least a portion of the file to identify a second one of the nodes having associated settings on which the locked state of the first node is contingent; and presenting the associated settings of the second node to the user. Additional methods and systems are also provided.

A display unit switches which trained model, among a plurality of trained models whose granularities of detection for an object to be detected from an image are different from each other, is a trained model of interest, and displays on a screen a result of detection by the trained model of interest. A determination unit determines an object on which a predetermined process is to be performed based on a user operation on the result of detection by the trained model of interest.

An electronic device, according to various embodiments, comprises: one or more image sensors; a first processor electrically connected to at least one of the one or more sensors via a first interface and including a first functional processing circuit and a second functional processing circuit capable of processing first output information of the first functional processing circuit; a second processor electrically connected to at least one of the one or more image sensors via a second interface; a third interface for connecting the first functional processing circuit and the second processor to transfer the first output information of the first functional processing circuit to the second processor; and a fourth interface for connecting the second functional processing circuit and the second processor to transfer second output information of the second processor to the second functional processing circuit. Various other embodiments are possible.