Abstract: The present disclosure provides a pixel driving circuit and a display panel. The pixel drive circuit includes: a data writing sub-circuit, a threshold compensation sub-circuit, a driving sub-circuit and a storage sub-circuit, the data writing sub-circuit includes a fourth transistor, which includes a first electrode connected with a data line, a second electrode connected with a first terminal of the driving sub-circuit, and a control electrode connected with a first scan signal line, and the fourth transistor is an oxide thin film transistor; the threshold compensation sub-circuit is configured to compensate a threshold voltage of the driving sub-circuit in response to a second scan signal; the storage sub-circuit is configured to store a data voltage signal; the driving sub-circuit is configured to provide a driving current for a light emitting device to be driven according to voltages of the first terminal and a control terminal thereof.

Abstract: A single crystal multi-element positive electrode material and a preparation method therefor, and a lithium ion battery. The ratio of the length of the longest diagonal line to the length of the shortest diagonal line of the single crystal particles of the single crystal multi-element positive electrode material measured by an SEM is roundness R, and R?1; and D10, D50 and D90 of the single crystal particles of the single crystal multi-element positive electrode material satisfy: K90=(D90?D10)/D50, and the product of K90 and R is 1.20-1.40. The single crystal multi-element positive electrode material is more round and regular in morphology, the single crystal particles have uniform size, less agglomeration and less adhesion. The material has the characteristics of high compaction density, good rate capability and excellent cycle performance.

Abstract: Disclosed is a filtering device. The device includes a main body part and a filter element assembly, where the main body part has a mounting cavity for accommodating the filter element assembly, further includes a base and a screen cover arranged as a cover of the base, and at least one rack for fixing the filter element assembly is disposed on an inner wall of the screen cover and/or the base; and the filter element assembly includes a folded filter element arranged in a folded shape, and a rubber strip arranged on the folded filter element for maintaining the shape of the folded filter element to facilitate quick assembly and disassembly of the folded filter element. Further, the screen cover and the base are connected through various snap-fit assemblies, without requiring additional connecting members for fixing them, which is convenient for disassembly and assembly, and has a simple structure.

Abstract: This application discloses a method and apparatus for controlling a skill indicator, a storage medium, and an electronic device. The method is performed by the electronic device and includes: obtaining a target selection instruction in a game application, the target selection instruction selecting a target virtual skill of a first virtual character; displaying a skill indicator of the target virtual skill in the game application in response to the target selection instruction; and controlling, when a target following function is enabled in the game application, the skill indicator to move along with a target object in the game application.

Abstract: The present disclosure provides an aluminum alloy coating, an aluminum alloy wheel hub and a spraying method of an aluminum alloy wheel hub. The aluminum alloy coating includes a base powder layer, a main body layer and a transparent powder layer from inside to outside. The main body layer includes at least two prime coat layers and at least two colored paint layers which are superposed in a preset order.

Abstract: The present disclosure provides an aluminum alloy coating, an aluminum alloy wheel hub and a spraying method of an aluminum alloy wheel hub. The aluminum alloy coating includes a base powder layer, a main body layer and a transparent powder layer from inside to outside. The main body layer includes at least two prime coat layers and at least two colored paint layers which are superposed in a preset order.

Abstract: Embodiments of the present invention provide a method and a device for three-dimensional feature-embedded image object component-level semantic segmentation, the method includes: acquiring three-dimensional feature information of a target two-dimensional image; performing a component-level semantic segmentation on the target two-dimensional image according to the three-dimensional feature information of the target two-dimensional image and two-dimensional feature information of the target two-dimensional image. In the technical solution of the present application, not only the two-dimensional feature information of the image but also the three-dimensional feature information of the image are taken into consideration when performing the component-level semantic segmentation on the image, thereby improving the accuracy of the image component-level semantic segmentation.

Abstract: Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.

Abstract: Embodiments of the present invention provide a method and a device for three-dimensional feature-embedded image object component-level semantic segmentation, the method includes: acquiring three-dimensional feature information of a target two-dimensional image; performing a component-level semantic segmentation on the target two-dimensional image according to the three-dimensional feature information of the target two-dimensional image and two-dimensional feature information of the target two-dimensional image. In the technical solution of the present application, not only the two-dimensional feature information of the image but also the three-dimensional feature information of the image are taken into consideration when performing the component-level semantic segmentation on the image, thereby improving the accuracy of the image component-level semantic segmentation.

Abstract: Present invention provides a ranking convolutional neural network constructing method and an image processing method and apparatus thereof. The ranking convolutional neural network includes a ranking layer that is configured to sort an output of a previous layer of the ranking layer, generate an output of the ranking layer according to the sorted output, and output the output of the ranking layer to a next layer of the ranking layer. Using the ranking convolutional neural network enables obtaining an output feature corresponding to the input feature image through automatic learning. Compared with prior art methods that obtain features through manual calculation, the method of the present invention is superior in terms of reflecting the objective laws contained by the patterns of the actual scene. When applied to the field of image processing, the method can significantly improve the effect of image processing.