DATA PROCESSING METHOD, DATA PROCESSING DEVICE AND STORAGE MEDIUM
The present application provides a data processing method, a data processing device and a storage medium, wherein the method comprises: obtaining a point cloud frame; determining point cloud corresponding to the target entity in the point cloud frame as a first point cloud; adjusting coordinate of each point in the first point cloud according to a first speed to obtain a second point cloud, wherein the first speed represents the speed of the target entity; and taking the first speed as an annotation speed in response to the second point cloud meeting a preset condition. In the data processing scheme provided herein, by speed annotation of the target entity using a relation between the target entity and its corresponding point cloud, a point cloud data annotation set comprising more annotation parameters can be simply and efficiently generated for use in subsequent algorithm training.
1 . A data processing method, comprising:
obtaining a point cloud frame comprising point cloud from at least two acquisition periods;
determining point cloud corresponding to the target entity in the point cloud frame as a first point cloud;
adjusting coordinate of each point in the first point cloud according to a first speed to obtain a second point cloud; and
taking the first speed as an annotation speed in response to the second point cloud meeting a preset condition, wherein the annotation speed represents a moving speed of the target entity.
2 . The data processing method of claim 1 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud comprises:
processing the point cloud frame through a preset algorithm model to obtain a three-dimensional annotation box of the target entity; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
3 . The data processing method of claim 1 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud comprises:
receiving annotation data of the target entity;
generating a three-dimensional annotation box of the target entity based on the annotation data; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
4 . The data processing method of claim 1 , wherein the adjusting the coordinate of each point in the first point cloud according to the first speed to obtain the second point cloud comprises:
adjusting the coordinate of each point in the first point cloud according to an adjustment function, wherein
the adjustment function is a relation function between coordinate transformation and the first speed, a target moment and a point cloud acquisition moment.
5 . The data processing method of claim 1 , further comprising:
adjusting the first speed to obtain a second speed in response to the second point cloud not meeting the preset condition;
adjusting coordinate of each point in the first point cloud to obtain third point cloud according to the second speed; and
taking the second speed as the annotation speed in response to the third point cloud meeting a preset condition.
6 . The data processing method of claim 5 , wherein the adjusting the first speed to obtain the second speed comprises:
adjusting the first speed according to a preset adjustment step size; or
receiving a speed value input by a user as the second speed.
7 . The data processing method of claim 1 , wherein the second point cloud meeting the preset condition comprises:
receiving a confirmation instruction input by a user, wherein the confirmation instruction represents that the second point cloud meets the preset condition.
8 . The data processing method of claim 1 , wherein the second point cloud meeting the preset condition comprises:
generating a three-dimensional annotation box of the second point cloud, wherein
the three-dimensional annotation box meets a preset size requirement.
9 . A data processing device, comprising a processor and a memory, wherein the memory stores at least one machine-executable instruction, and the processor executes the at least one machine-executable instruction to implement a method comprising:
obtaining a point cloud frame, wherein the point cloud frame comprises point cloud from at least two acquisition periods;
determining point cloud corresponding to a target entity in the point cloud frame as a first point cloud;
adjusting coordinate of each point in the first point cloud according to a first speed to obtain a second point cloud; and
taking the first speed as an annotation speed in response to the second point cloud meeting a preset condition, wherein the annotation speed represents a moving speed of the target entity.
10 . The data processing device of claim 9 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud comprises:
processing the point cloud frame through a preset algorithm model to obtain a three-dimensional annotation box of the target entity; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
11 . The device of claim 9 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud comprises:
receiving annotation data of the target entity;
generating a three-dimensional annotation box of the target entity based on the annotation data; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
12 . The device of claim 9 , wherein the adjusting the coordinate of each point in the first point cloud according to the first speed to obtain the second point cloud comprises:
adjusting the coordinate of each point in the first point cloud according to an adjustment function, wherein
the adjustment function is a relation function between coordinate transformation and the first speed, a target moment and a point cloud acquisition moment.
13 . The device of claim 9 , wherein the second point cloud meeting a preset condition comprises:
receiving a confirmation instruction input by a user, wherein the confirmation instruction represents that the second point cloud meets the preset condition.
14 . The device of claim 9 , wherein the second point cloud meeting the preset condition comprises:
generating a three-dimensional annotation box of the second point cloud, wherein
the three-dimensional annotation box meets a preset size requirement.
15 . A computer-readable storage medium, having a computer program stored thereon, wherein the program is executed by a processor to implement a method comprising:
obtaining a point cloud frame, wherein the point cloud frame comprises point cloud from at least two acquisition periods;
determining point cloud corresponding to a target entity in the point cloud frame as a first point cloud;
adjusting coordinate of each point in the first point cloud according to a first speed to obtain a second point cloud; and
taking the first speed as an annotation speed in response to the second point cloud meeting a preset condition, wherein the annotation speed represents a moving speed of the target entity.
16 . The computer-readable storage medium of claim 15 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud specifically comprises:
processing the point cloud frame through a preset algorithm model to obtain a three-dimensional annotation box of the target entity; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
17 . The computer-readable storage medium of claim 15 , wherein the determining point cloud corresponding to the target entity in the point cloud frame as the first point cloud comprises:
receiving annotation data of the target entity;
generating a three-dimensional annotation box of the target entity based on the annotation data; and
determining point cloud in the three-dimensional annotation box as the first point cloud.
18 . The computer-readable storage medium of claim 15 , wherein the adjusting the coordinate of each point in the first point cloud according to the first speed to obtain the second point cloud comprises:
adjusting the coordinate of each point in the first point cloud according to an adjustment function, wherein
the adjustment function is a relation function between coordinate transformation and the first speed, a target moment and a point cloud acquisition moment.
19 . The computer-readable storage medium of claim 15 , wherein the second point cloud meeting a preset condition comprises:
receiving a confirmation instruction input by a user, wherein the confirmation instruction represents that the second point cloud meets the preset condition.
20 . The computer-readable storage medium of claim 15 , wherein the second point cloud meeting the preset condition comprises:
generating a three-dimensional annotation box of the second point cloud, wherein
the three-dimensional annotation box meets a preset size requirement.