Abstract: Embodiments of this application provide a volume adjustment method and an electronic device. The volume adjustment method includes: receiving target volume used when a media playing device plays content; obtaining an audio signal, where the audio signal includes a first signal and a second signal, the first signal is a sound signal that is collected by a wearable device worn by a user and that is generated when the media playing device plays the content, and the second signal is a noise signal collected by the wearable device; determining adjusted volume based on the audio signal and the target volume; and sending the adjusted volume to a target device through a communication connection to the target device, where the adjusted volume is used to update volume used when the media playing device plays the content.

Abstract: The present disclosure refers to a device and a method for the addition of liquid additives in the form of a spray during a jet milling step in a process for the manufacture of sintered NdFeB alloy magnets. The device includes: a storage barrel for the liquid additive; a weighing bucket which is in fluid communication with the storage barrel and is adapted for weighing a predetermined amount of the liquid additive; a powder container to accommodate NdFeB alloy material prior to or after jet milling, wherein the powder container includes an opening that is plugged with a blind flange; a connecting pipe, which is in fluid communication with the weighing bucket and passes through an opening of the blind flange into the interior of the powder container; and a fluid atomization nozzle located at the end of the connection pipe.

Abstract: This application provides an image processing method and an electronic device. The image processing method includes: acquiring a plurality of frames of original images; adding a reference coordinate image layer to a second field-of-view image; obtaining an image layer set according to a first field-of-view image, the second field-of-view image, and the reference coordinate image layer; processing, by using a deep learning network model, the image layer set to obtain a first enhanced image; and obtaining a second enhanced image according to the first enhanced image. In the method, since the added reference coordinate image layer reflects a mapping relationship between a field of view corresponding to the first field-of-view image and a field of view corresponding to the second field-of-view image, through the addition of the reference coordinate image layer, priori information can be added, so that different adjustments can be made subsequently according to different field-of-view relationships.

Abstract: Disclosed are a polyethylene glycol conjugate drug, and a preparation method therefor and the use thereof. Specifically, the present invention relates to a polyethylene glycol conjugate drug represented by formula A or a pharmaceutically acceptable salt thereof, a method for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, an intermediate for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, a pharmaceutical composition comprising the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, and the use of the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof in the preparation of a drug.

Abstract: This application provides an image processing method, apparatus, and an electronic device, relates to the field of image technologies. The method includes: obtaining a plurality of frames of original images, where the plurality of frames of original images include a small field-of-view image and a large field-of-view image; obtaining at least one first image block corresponding to the small field-of-view image and at least one second image block corresponding to the large field-of-view image; extracting texture information from the at least one first image block, and adding the extracted texture information to a target image block to obtain a target image, where the target image block is the second image block having a mapping relationship with the at least one first image block. The texture information in the small field-of-view image is added to the large field-of-view image to enhance details, thereby improving a definition of the large field-of-view image.

Abstract: An image forming control method is applied to an image forming device. The image forming device includes a communication port. The communication port includes a USB port, a wired network port, and a wireless network port. The method includes performing a forced disconnection event for the communication port in response to a satisfaction of a preset condition. The forced disconnection event includes disconnecting power supply of at least one part of components of a wireless network module, disconnecting power supply of at least one part of components of a wired network module, and force-disconnecting the USB port.

Abstract: An image stitching method includes: obtaining a first and a second images; selecting a first and a second search regions from the first and second images, respectively, the first and second search regions at least partially overlapping with each other along a first direction; dividing each of the first and second search regions into a plurality of equally-sized pixel blocks; moving the first and second images toward each other along the first direction using the pixel blocks as a step size, until each of the first and second search regions has been traversed; after each movement, determining a pixel difference value representing a difference between all overlapping pixel blocks of the first search region and the second search region; determining an optimal block-matching position for the first and second images based on the pixel difference value; and stitching the first and second images according to the optimal block-matching position.

Abstract: Methods and apparatus for automatically synthesizing images are disclosed. The methods may include receiving a plurality of input frames with a common background. The methods may also include determining a number of the input frames. The methods may also include selecting, based on the number, a method to detect foregrounds of the input frames. The methods may further include using the selected method to generate an output frame comprising a combination of a plurality of the foregrounds.

Abstract: A device includes a memory configured to store instructions and a processor configured to execute the instructions to obtain image data of a region of interest included in an image frame. The processor may also be configured to compare the image data of the region of interest with image data of a background to detect a change in the region of interest. The processor may further be configured to detect the object in image frame based on the detected change.

Abstract: Traffic-counting methods and apparatus are disclosed. The methods may include, in a view of traffic comprising moving objects, identifying first and second regions of interest (ROIs). The methods may also include obtaining first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first and second image data over time. The methods may further include, based on the analyses of the first and second image data, counting the moving objects and determining moving directions of the moving objects.

Abstract: Methods and apparatus for determining the motion of a movable object are disclosed. The methods may include, in a view of the environment outside the movable object, identifying a first region of interest (ROI) corresponding to a static portion of the environment. The methods may also include, in the view of the environment, identifying a second region of interest (ROI) corresponding to an active portion of the environment. The methods may also include receiving first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first image data over time. The methods may also include analyzing the second image data over time. The methods may further include determining whether the movable object is in motion based on the analyzes of the first and second image data.

Abstract: An image stitching method includes: obtaining a first and a second images; selecting a first and a second search regions from the first and second images, respectively, the first and second search regions at least partially overlapping with each other along a first direction; dividing each of the first and second search regions into a plurality of equally-sized pixel blocks; moving the first and second images toward each other along the first direction using the pixel blocks as a step size, until each of the first and second search regions has been traversed; after each movement, determining a pixel difference value representing a difference between all overlapping pixel blocks of the first search region and the second search region; determining an optimal block-matching position for the first and second images based on the pixel difference value; and stitching the first and second images according to the optimal block-matching position.

Abstract: Traffic-counting methods and apparatus are disclosed. The methods may include, in a view of traffic comprising moving objects, identifying first and second regions of interest (ROIs). The methods may also include obtaining first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first and second image data over time. The methods may further include, based on the analyses of the first and second image data, counting the moving objects and determining moving directions of the moving objects.

Abstract: A device includes a memory configured to store instructions and a processor configured to execute the instructions to obtain image data of a region of interest included in an image frame. The processor may also be configured to compare the image data of the region of interest with image data of a background to detect a change in the region of interest. The processor may further be configured to detect the object in image frame based on the detected change.

Abstract: Methods and apparatus for determining the motion of a movable object are disclosed. The methods may include, in a view of the environment outside the movable object, identifying a first region of interest (ROI) corresponding to a static portion of the environment. The methods may also include, in the view of the environment, identifying a second region of interest (ROI) corresponding to an active portion of the environment. The methods may also include receiving first and second image data respectively representing the first and second ROIs. The methods may also include analyzing the first image data over time. The methods may also include analyzing the second image data over time. The methods may further include determining whether the movable object is in motion based on the analyses of the first and second image data.

Abstract: Methods and apparatus for automatically synthesizing images are disclosed. The methods may include receiving a plurality of input frames with a common background. The methods may also include determining a number of the input frames. The methods may also include selecting, based on the number, a method to detect foregrounds of the input frames. The methods may further include using the selected method to generate an output frame comprising a combination of a plurality of the foregrounds.