Abstract: A harmonica-shaped tube, a harmonica-shaped tube type heat exchanger and a vehicle are provided. The harmonica-shaped tube includes a plurality of flow channels arranged at intervals. Inner walls of at least some flow channels include protrusions protruding in a direction approaching centers of the flow channels and/or include recesses recessing in a direction away from the centers of the flow channels. The protrusions and recesses enable a liquid fluid (e.g., refrigerant) to nucleate rapidly, and can also burst large nucleuses which grow in a disorderly manner, thereby preventing the large nucleuses from forming boundary layers on inner walls of the plurality of flow channels, such that nucleuses can be separated from inner wall surfaces rapidly. Therefore, heat exchange performance of the harmonica-shaped tube is improved, and heat exchange requirements of a traction battery are satisfied.

Abstract: Provided are a method and apparatus for processing map point location information and a server. The method includes steps described below. A total number of point locations within a to-be-marked region in an electronic map is acquired, and the to-be-marked region is divided into a multiple subregions according to the total number of point locations; where the multiple subregions have the same length in a longitude direction and the same length in a latitude direction. The multiple point locations are divided into the plurality of subregions respectively according to location information of the multiple point locations within the to-be-marked region. Numbers of point locations within the multiple subregions are acquired respectively, and the length of the multiple subregions in the longitude direction and the length of the multiple subregions in the latitude direction are adjusted according to the numbers of point locations within the multiple subregions.

Abstract: The present disclosure provides a method for generating a small molecule based on a pharmacophore model, a device, and a medium. The method includes: using a fully connected graph to represent a pharmacophore model; using a feature extraction model based on a graph neural network to extract a feature vector of the pharmacophore model from the fully connected graph of the pharmacophore model; performing random sampling on a specified latent variable distribution to obtain a latent variable; and inputting the latent variable and the feature vector of the pharmacophore model to a pre-trained decoder to generate a molecule matching the pharmacophore model, where the pre-trained decoder is a decoder obtained by training a variational autoencoder with training samples.

Abstract: An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.

Abstract: Provided are a method and apparatus for processing map point location information and a server. The method includes steps described below. A total number of point locations within a to-be-marked region in an electronic map is acquired, and the to-be-marked region is divided into a multiple subregions according to the total number of point locations; where the multiple subregions have the same length in a longitude direction and the same length in a latitude direction. The multiple point locations are divided into the plurality of subregions respectively according to location information of the multiple point locations within the to-be-marked region. Numbers of point locations within the multiple subregions are acquired respectively, and the length of the multiple subregions in the longitude direction and the length of the multiple subregions in the latitude direction are adjusted according to the numbers of point locations within the multiple subregions.

Abstract: An image processing method, an electronic device and a readable storage medium, which relate to the technical field of computer vision, are disclosed. In an embodiment, a face recognition module and a service processing module maintains respectively an image buffer queue; the face recognition module maintains a face image buffer queue of face images, and the service processing module maintains a background image buffer queue of background images, i.e., first images; since the face recognition module only maintains the face image buffer queue, only a determined optimal face image, i.e., a face image to be matched, is transmitted to the service processing module, and then, the service processing module determines a background image matched with the optimal face image transmitted by the face recognition module from the maintained background image buffer queue, thus performing image recognition and image matching on a face appearing in a video source.

Abstract: An information processing method, a device, a system, and a storage medium. The information processing method includes: an AI camera first obtains real-time data in a unmanned retail scenario and performs a front-end processing on the real-time data based on a neural network model, where the front-end processing includes any one or more of commodity identifying and human body monitoring, and then transmits a result of the front-end processing to a server, where the result of the front-end processing is used to trigger the server to perform face recognition and/or determine a flow direction of a commodity according to the result of the front-end processing. The cost of the entire unmanned retail distributed system and the pressure on data transmission bandwidth can be reduced, and system scalability as well as the performance of the solution to the unmanned retail can be improved effectively.

Abstract: The present application provides a method, an apparatus, a device and a system for processing commodity identification and a storage medium, where the method includes: receiving image information transmitted by a camera apparatus and a distance signal transmitted by a distance sensor corresponding to the camera apparatus; determining a start frame and an end frame for a pickup behavior of a user according to the image information and the distance signal; and determining, according to the start frame and the end frame for the pickup behavior of the user, information of a commodity taken by the user. By performing a commodity identification on the start frame and the end frame for the pickup behavior of the user, and determining the information of the commodity taken by the user, commodity identification efficiency is effectively improved.

Abstract: The present application provides a method, an apparatus, a device and a system for processing commodity identification and a storage medium, where the method includes: receiving image information transmitted by a camera apparatus and a distance signal transmitted by a distance sensor corresponding to the camera apparatus; determining a start frame and an end frame for a pickup behavior of a user according to the image information and the distance signal; and determining, according to the start frame and the end frame for the pickup behavior of the user, information of a commodity taken by the user. By performing a commodity identification on the start frame and the end frame for the pickup behavior of the user, and determining the information of the commodity taken by the user, commodity identification efficiency is effectively improved.

Abstract: An information processing method, a device, a system, and a storage medium. The information processing method includes: an AI camera first obtains real-time data in a unmanned retail scenario and performs a front-end processing on the real-time data based on a neural network model, where the front-end processing includes any one or more of commodity identifying and human body monitoring, and then transmits a result of the front-end processing to a server, where the result of the front-end processing is used to trigger the server to perform face recognition and/or determine a flow direction of a commodity according to the result of the front-end processing. The cost of the entire unmanned retail distributed system and the pressure on data transmission bandwidth can be reduced, and system scalability as well as the performance of the solution to the unmanned retail can be improved effectively.