Abstract: The present disclosure discloses a method for dual-motor control on an electric vehicle based on adaptive dynamic programming. First, total torque required is calculated based on obtained data information of the electric vehicle under various driving conditions, and offline training is conducted on an execution network and an evaluation network. Then total torque is dynamically distributed for two motors of the electric vehicle under various driving conditions to obtain an efficiency MAP database. Afterwards, iteration and online learning are conducted on the execution network and the evaluation network based on data information of the electric vehicle under different driving conditions that is obtained in real time, so as to find an optimal control law for the electric vehicle under a real-time driving condition. In this way, the dual-motor control on the electric vehicle is optimized.

Abstract: The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Abstract: The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.

Abstract: A facial parsing method and apparatus, a facial parsing network training method and apparatus, an electronic device and a non-transitory computer-readable storage medium, which relate to the field of artificial intelligence. The facial parsing method includes inputting a facial image into a pre-trained facial parsing neural network; extracting a semantic feature of the facial image by using a semantic perception sub-network; extracting a boundary feature of the facial image by using a boundary perception sub-network; and processing the cascaded semantic feature and boundary feature by using a fusion sub-network, to obtain a facial region to which each pixel in the facial image belongs. The method can improve the resolution capability of a neural network for boundary pixels between different facial regions of a facial image, thereby improving the precision of facial parsing.

Abstract: The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Abstract: A commodity recommendation method, apparatus and system, and a computer readable storage medium. The method includes: analyzing an image of a specific offline customer currently entering a store to obtain an attribute of the specific offline customer; determining an online user matching the specific offline customer according to the attribute of the specific offline customer; constructing a collection of popular commodities of the store according to commodities corresponding to stay positions of offline customers who have entered the store before; and recommending a commodity to the specific offline customer according to a historical shopping information of the online user and the collection of popular commodities.

Abstract: The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.