Abstract: A display substrate and a preparation method thereof, and a display device. The display substrate comprises a display area (100), a bonding area (200), and a side bezel region (310) at least including a first bezel region (310-1) and a second bezel region (310-2), the first bezel region (310-1) is located on a side of the second bezel region (310-2) close to the bonding area (200); the display substrate comprises a base substrate (101) and a drive circuit layer (102), the base substrate (101) at least comprises a first connection line (70), the drive circuit layer (102) at least comprises a data signal line (60), a second connection line (80) connected to the first connection line through a first lap via (DV1), the data signal line is connected to the second connection line through a second lap via (DV2), the first lap via is provided in the first bezel region.

Abstract: The present disclosure provides an image recognition method and apparatus, a device and a non-volatile computer storage medium. In embodiments of the present disclosure, it is feasible to obtain the to-be-recognized image of a designated size, extract the different-area image from the to-be-recognized image, and obtain the image feature of the different-area image according to the different-area image, so as to obtain the recognition result of the to-be-recognized image, according to the image feature of the different-area image and a preset template feature. In this way, recognition processing can be performed for images in a limited number of classes without employing the deep learning method based on hundreds of thousands of even millions of training samples.

Abstract: Embodiments of the present disclosure provide a method and device for labelling a point of interest, a computer device, and a storage medium. The method includes the following. Image data to be labelled is obtained. The image data includes an image to be labelled and a collection location of the image to be labelled. Feature extraction is performed on the image to be labelled to obtain a first image feature of the image to be labelled. A first reference image corresponding to the image to be labelled is determined based on a similarity between the first image feature and a second image feature corresponding to each reference image in an image library. The point of interest of the image to be labelled is labelled based on a category of the first reference image and the collection location of the image to be labelled.

Abstract: A coin identification method and device, as well as a coin register are provided, which are related to a field of image identification. A specific implementation includes: extracting, from a to-be-identified image including coins, image blocks corresponding to the coins, to form an input coin set; inputting the input coin set into a coin classification model, to obtain categories and a classification confidences of the image blocks of the coins in the input coin set, wherein the category includes a face value of the coin; incorporating an image block, with a classification confidence reaching a threshold, of a coin of the input coin set into a first coin set; and determining a face value indicated by a category of the image block of the coin in the first coin set as a final face value of the coin in the first coin set.

Abstract: The present disclosure relates to a method and a device for training an image recognition model and a related device. The method includes: extracting sub-image feature data from a detection frame sub-image of an input image; determining element feature data matching the sub-image feature data from an index element database; and outputting images related to the element feature data as training images for training the image recognition model. The index element database is built in advance based on a plurality of element feature data extracted from a plurality of candidate images.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing an image. The method may include: acquiring a feature of a target image; acquiring a style of the target image, and searching a feature most similar to the feature of the target image from a set of image related information of the style, where the set of image related information comprises features of multiple groups of paired images; and using a paired image of an image corresponding to the found feature as a paired image of the target image and outputting the paired image of the target image.

Abstract: Embodiments of the present disclosure provide a method and device for labelling a point of interest, a computer device, and a storage medium. The method includes the following. Image data to be labelled is obtained. The image data includes an image to be labelled and a collection location of the image to be labelled. Feature extraction is performed on the image to be labelled to obtain a first image feature of the image to be labelled. A first reference image corresponding to the image to be labelled is determined based on a similarity between the first image feature and a second image feature corresponding to each reference image in an image library. The point of interest of the image to be labelled is labelled based on a category of the first reference image and the collection location of the image to be labelled.

Abstract: A coin identification method and device, as well as a coin register are provided, which are related to a field of image identification. A specific implementation includes: extracting, from a to-be-identified image comprising coins, image blocks corresponding to the coins, to form an input coin set; inputting the input coin set into a coin classification model, to obtain categories and a classification confidences of the image blocks of the coins in the input coin set, wherein the category comprises a face value of the coin; incorporating an image block, with a classification confidence reaching a threshold, of a coin of the input coin set into a first coin set; and determining a face value indicated by a category of the image block of the coin in the first coin set as a final face value of the coin in the first coin set.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing an image. The method may include: acquiring a feature of a target image; acquiring a style of the target image, and searching a feature most similar to the feature of the target image from a set of image related information of the style, where the set of image related information comprises features of multiple groups of paired images; and using a paired image of an image corresponding to the found feature as a paired image of the target image and outputting the paired image of the target image.

Abstract: The present disclosure relates to a method and a device for training an image recognition model and a related device. The method includes: extracting sub-image feature data from a detection frame sub-image of an input image; determining element feature data matching the sub-image feature data from an index element database; and outputting images related to the element feature data as training images for training the image recognition model. The index element database is built in advance based on a plurality of element feature data extracted from a plurality of candidate images.

Abstract: The present disclosure provides a watermark image processing method and apparatus, a device and a computer readable storage medium. In the embodiments of the present disclosure, it is feasible to obtain at least one similar image approximate to the watermark image according to the watermark image including the watermark, and obtain a replaceable image of each similar image of said at least one similar image in the watermark area, according to a watermark area where the watermark is located in the watermark image so that it is possible to obtain a carrier image not including the watermark, according to the watermark image and the replaceable image of said each similar image in the watermark area. Since the replaceable image of the similar image in the watermark area is employed to obtain the carrier image not including the watermark, the valid content in the watermark image covered by the watermark is restored and thereby the reliability of the image is improved.

Abstract: A method for recognizing a picture, a method and an apparatus for labelling a picture, and a storage medium. The method for recognizing a picture comprises: acquiring a clothes picture labelled with a positioning key point and a clothes wearing region (S310); extracting, based on the locations of the clothes wearing region and the positioning key point, at least one picture region representing a feature region from the clothes picture (S320); and respectively acquiring feature information representing the feature region based on a region feature recognition model corresponding to the feature region (S330). By labelling the positioning key point, a picture representing a clothes content in the clothes picture is positioned, so that the interference of a background content in the clothes picture is reduced.

Abstract: The present application discloses an image-based information acquisition method and apparatus. The information acquisition method comprises: acquiring a first image; determining a second image matching the first image from a preset image library; presenting first information related to a commercial item if the second image is associated with commercial item information; and presenting second information related to a video if the second image is associated with video information. The information acquisition method of the present application can directly use images as references for acquiring information, thereby implementing the objective of improving information acquisition efficiency and accuracy.

Abstract: The present disclosure provides a method and system for obtaining picture annotation data. The method comprises: obtaining a recognition result of a to-be-annotated picture; displaying the to-be-annotated picture and a corresponding recognition result on an annotation interface; using an annotator's selection of the recognition result in the annotation interface, to obtain annotation data of the to-be-annotated picture. According to the method and system for obtaining picture annotation data of the present disclosure, the annotator only needs to perform an operation of clicking the corresponding recognition result without manually inputting the name, and improves the annotation efficiency. The technical solution is particularly adapted for beforehand data preparation work of an image vertical type recognition algorithm, may substantially reduce costs of manually annotating pictures, and shorten the development cycle of picture recognition-type projects.

Abstract: The present disclosure provides a watermark image processing method and apparatus, a device and a computer readable storage medium. In the embodiments of the present disclosure, it is feasible to obtain at least one similar image approximate to the watermark image according to the watermark image including the watermark, and obtain a replaceable image of each similar image of said at least one similar image in the watermark area, according to a watermark area where the watermark is located in the watermark image so that it is possible to obtain a carrier image not including the watermark, according to the watermark image and the replaceable image of said each similar image in the watermark area. Since the replaceable image of the similar image in the watermark area is employed to obtain the carrier image not including the watermark, the valid content in the watermark image covered by the watermark is restored and thereby the reliability of the image is improved.

Abstract: The present disclosure provides an image recognition method and apparatus, a device and a non-volatile computer storage medium. In embodiments of the present disclosure, it is feasible to obtain the to-be-recognized image of a designated size, extract the different-area image from the to-be-recognized image, and obtain the image feature of the different-area image according to the different-area image, so as to obtain the recognition result of the to-be-recognized image, according to the image feature of the different-area image and a preset template feature. In this way, recognition processing can be performed for images in a limited number of classes without employing the deep learning method based on hundreds of thousands of even millions of training samples.

Abstract: A method for recognizing a picture, a method and an apparatus for labelling a picture, and a storage medium. The method for recognizing a picture comprises: acquiring a clothes picture labelled with a positioning key point and a clothes wearing region (S310); extracting, based on the locations of the clothes wearing region and the positioning key point, at least one picture region representing a feature region from the clothes picture (S320); and respectively acquiring feature information representing the feature region based on a region feature recognition model corresponding to the feature region (S330). By labelling the positioning key point, a picture representing a clothes content in the clothes picture is positioned, so that the interference of a background content in the clothes picture is reduced.

Abstract: The present application discloses an image-based information acquisition method and apparatus. The information acquisition method comprises: acquiring a first image; determining a second image matching the first image from a preset image library; presenting first information related to a commercial item if the second image is associated with commercial item information; and presenting second information related to a video if the second image is associated with video information. The information acquisition method of the present application can directly use images as references for acquiring information, thereby implementing the objective of improving information acquisition efficiency and accuracy.

Abstract: A method and a device for objects counting in image processing includes acquiring the depth image of any one frame; detecting objects according to the depth image; associating the identical object in different frames to form a trajectory; and determining the number of objects according to the number of trajectories. The devices include an acquisition module for acquiring the depth image of any one frame; a detection module for detecting objects according to the depth image; an association module for associating the identical object in different frames to form a trajectory; a determining module for determining the number of objects according to the number of trajectories. The objects are detected according to the depth image. The identical object in different frames is associated to form a trajectory and the number of objects is determined according to the number of trajectories.

Abstract: A method and device for extracting color features, relating to the field of image processing includes converting an original image into sub-images corresponding to channels in a color space, dividing the sub-images into a plurality of cells with identical size, and calculating the color histograms of each of the plurality of cells. A cell and neighboring cells thereof are defined as the effective scope of the cell, and a feature vector of the cell is determined according to a degree of similarity of the color histograms of every two neighboring cells in the effective scope. The feature vectors of the cells in the sub-images are concatenated to obtain feature vectors of the sub-images, and a feature vector of the original image is obtained according to the feature vectors of the sub-images.