Automobile Image Processing Method and Apparatus, and Readable Storage Medium
An automobile image processing method and apparatus, and a readable storage medium are provided. A to-be-processed image collected by a collecting point of automobile images is obtained, where the collecting point is provided on a self-driving device; the to-be-processed image is processed using a deep learning model, and a state parameter of an automobile in the to-be-processed image is outputted; and an automobile behavior in the to-be-processed image is determined according to the state parameter. Thus the to-be-processed image collected by the collecting point can be processed using the deep learning model to obtain the state parameter for determining the automobile behavior, and thus the automobile behavior can be obtained, thereby providing a foundation and a basis for the self-driving device to adjust the driving strategy according to the road condition.
1 . An automobile image processing method, comprising:
obtaining a to-be-processed image collected by a collecting point of automobile images, wherein the collecting point is provided on a self-driving device;
processing the to-be-processed image using a deep learning model, and outputting a state parameter of an automobile in the to-be-processed image; and
determining an automobile behavior in the to-be-processed image according to the state parameter.
2 . The automobile image processing method according to claim 1 , wherein the processing the to-be-processed image using a deep learning model, and outputting a state parameter of an automobile in the to-be-processed image comprises:
determining a position of the automobile in the to-be-processed image;
obtaining a target area image of the to-be-processed image according to the position; and
processing the target area image using the deep learning model, and outputting the state parameter of the automobile in the target area image.
3 . The automobile image processing method according to claim 1 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model is used to indicate one or more of the following automobile states:
a brake lamp state, a steering lamp state, a door state, a trunk door state, and a wheel pointing direction state.
4 . The automobile image processing method according to claim 3 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model further comprises at least one of an automobile measurement size, and a distance between the automobile and the collecting point for collecting the image of the automobile.
5 . The automobile image processing method according to claim 1 , wherein the automobile behavior determined according to the state parameter comprises one of the following:
a braking behavior, a traveling behavior, a steering behavior, and a parking behavior.
6 . The automobile image processing method according to claim 1 , wherein after the determining an automobile behavior in the to-be-processed image according to the state parameter, the method further comprises:
sending the automobile behavior in the obtained to-be-processed image to the self-driving device, for the self-driving device to adjust a self-driving strategy according to the automobile behavior.
7 . An automobile image processing apparatus, comprising: a memory, a processor connected to the memory, and a computer program that is stored on the memory and is executable on the processor, wherein, when running the computer program, the processor is configured to:
obtain a to-be-processed image collected by a collecting point of automobile images, wherein the collecting point is provided on a self-driving device; and
process the to-be-processed image using a deep learning model, and output a state parameter of an automobile in the to-be-processed image; and determine an automobile behavior in the to-be-processed image according to the state parameter.
8 . The automobile image processing apparatus according to claim 7 , wherein the processor is configured to:
determine a position of the automobile in the to-be-processed image;
obtain a target area image of the to-be-processed image according to the position; and
process the target area image using the deep learning model, and output the state parameter of the automobile in the target area image.
9 . The automobile image processing apparatus according to claim 7 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model is used to indicate one or more of the following automobile states:
a brake lamp state, a steering lamp state, a door state, a trunk door state, and a wheel pointing direction state.
10 . The automobile image processing apparatus according to claim 9 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model further comprises at least one of an automobile measurement size, and a distance between the automobile and the collecting point for collecting the image of the automobile.
11 . The automobile image processing apparatus according to claim 7 , wherein the automobile behavior determined according to the state parameter comprises one of the following:
a braking behavior, a traveling behavior, a steering behavior, and a parking behavior.
12 . The automobile image processing apparatus according to claim 7 , wherein the processor is further configured to: after determining the automobile behavior in the to-be-processed image according to the state parameter, send the automobile behavior in the obtained to-be-processed image to the self-driving device, for the self-driving device to adjust a self-driving strategy according to the automobile behavior.
13 . A readable storage medium, comprising a program that, when running on a terminal, causes the terminal to execute an automobile image processing method, the method comprising:
obtaining a to-be-processed image collected by a collecting point of automobile images, wherein the collecting point is provided on a self-driving device;
processing the to-be-processed image using a deep learning model, and outputting a state parameter of an automobile in the to-be-processed image; and
determining an automobile behavior in the to-be-processed image according to the state parameter.
14 . The readable storage medium according to claim 13 , wherein the processing the to-be-processed image using a deep learning model, and outputting a state parameter of an automobile in the to-be-processed image comprises:
determining a position of the automobile in the to-be-processed image;
obtaining a target area image of the to-be-processed image according to the position; and
processing the target area image using the deep learning model, and outputting the state parameter of the automobile in the target area image.
15 . The readable storage medium according to claim 13 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model is used to indicate one or more of the following automobile states:
a brake lamp state, a steering lamp state, a door state, a trunk door state, and a wheel pointing direction state.
16 . The readable storage medium according to claim 15 , wherein the state parameter of the automobile in the to-be-processed image which is outputted from the deep learning model further comprises at least one of an automobile measurement size, and a distance between the automobile and the collecting point for collecting the image of the automobile.
17 . The readable storage medium according to claim 13 , wherein the automobile behavior determined according to the state parameter comprises one of the following:
a braking behavior, a traveling behavior, a steering behavior, and a parking behavior.
18 . The readable storage medium according to claim 13 , wherein after the determining an automobile behavior in the to-be-processed image according to the state parameter, the method further comprises:
sending the automobile behavior in the obtained to-be-processed image to the self-driving device, for the self-driving device to adjust a self-driving strategy according to the automobile behavior.