Information processing method and apparatus, electronic device, and storage medium

An information processing method, comprising:

• acquiring, by a server, an information processing application transmitted by a first client, and executing, by the server, a predetermined command in accordance with a timer-based task mechanism to transmit a first prompt message for reviewing the information processing application to a second client;
• identifying, by the server, in response to an operation instruction on the second client, the information processing application as a target information processing application, the operation instruction being triggered when a user of the second client determines that an amount of resources to be transferred offline from a user of the first client is received at a first target address;
• acquiring, by the server, an information processing request for the target information processing application, and processing, by the server, the information processing request, the information processing request being transmitted by the first client in accordance with an asynchronous mechanism;
• and
• feeding, by the server, in response to a polling initiated by the first client, a processing result of the information processing request back to the first client when said processing the information processing request is completed,
• wherein the information processing application comprises the amount of resources to be transferred, and the amount of resources to be transferred is calculated based on an amount of information to be processed as submitted by the first client, and
• wherein the method further comprises, prior to acquiring, by the server, the information processing application transmitted by the first client:
• acquiring, by the server, the amount of information to be processed as submitted by the first client;
• and
• determining, by the server, whether the amount of information to be processed is greater than or equal to a target total quantity of information to be processed that is obtained by means of face matching;
• and
• transmitting, by the server, when the amount of information to be processed is greater than or equal to the target total quantity of information to be processed, to the first client a second prompt message indicating that the amount of information to be processed is greater than or equal to the target total quantity of information to be processed,
• wherein the second prompt message is used to prompt the user of the first client to modify the amount of information to be processed, and when the amount of information to be processed is smaller than the target total quantity of information to be processed, the amount of information to be processed is locked from the target total quantity of information to be processed, and
• wherein the method further comprises, subsequent to identifying, by the server, the information processing application as the target information processing application:
• updating, by the server, the target total quantity of information to be processed based on the amount of information to be processed and the target total quantity of information to be processed,
• the method further comprises, prior to determining, by the server, whether the amount of information to be processed is greater than or equal to the target total quantity of information to be processed:
• acquiring, by the server, a face image of the user of the first client;
• performing, by the server, a face detection on the face image and cropping, by the server, a face region image based on bounding box regression;
• determining, by the server, whether a face in the face region image is occluded, and when the face in the face region image is occluded, complementing, by the server, the face in the face region image using a ridge regression method to obtain a target face region image;
• locating, by the server, key points of the face on the target face region image using a pre-trained multi-task cascaded convolutional neural network, to obtain position information of the key points of the face, the key points of the face comprising a left corner of a mouth, a right corner of the mouth, a nose, a center point of a left eye, and a center point of a right eye;
• obtaining, by the server, a first affine transformation matrix T1 based on the position information of the left corner of the mouth, the position information of the right corner of the mouth, and an inclination angle of a connecting line between the left corner of the mouth and the right corner of the mouth;
• performing, by the server, an affine transformation on the target face region image based on the first affine transformation matrix T1 to obtain a first face region image;
• obtaining, by the server, a second affine transformation matrix T2 based on the position information of the center point of the left eye, the position information of the center point of the right eye, and an inclination angle of a connecting line between the center point of the left eye and the center point of the right eye;
• performing, by the server, an affine transformation on the first face region image based on the second affine transformation matrix T2 to obtain a second face region image;
• and
• inputting, by the server, the second face region image into a pre-trained face recognition model for feature extraction, and determining, by the server, the target total quantity of information to be processed based on extracted features.