Car damage picture angle correction method, electronic device, and readable storage medium

An electronic device, comprising a memory, a processor, and a car damage picture angle correction system stored on the memory and operable on the processor, and when being executed by the processor, the car damage picture angle correction system implementing the following steps:

• after receiving a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model;
• determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter comprising a rotation angle and a rotation direction;
• and
• rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture;
• wherein the processor is further configured to execute the car damage picture angle correction system to implement the following steps:
• analyzing whether the identified rotation category corresponding to the car damage picture is a second preset rotation category or a third preset rotation category, wherein the second preset rotation category is clockwise rotation of 90 degrees, and the third preset rotation category is clockwise rotation of 270 degrees;
• or, the second preset rotation category is clockwise rotation of 270 degrees, and the third preset rotation category is clockwise rotation of 90 degrees;
• determining, if the identified rotation category is a second preset rotation category, a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters;
• determining, if the secondary identification rotation category is a first preset rotation category, the rotation picture to be secondarily identified as an angle-normal car damage picture, wherein the first preset rotation category is clockwise rotation of 0 degree or clockwise rotation of 360 degrees;
• determining, if the secondary identification rotation category is a fourth preset rotation category, the identified rotation category corresponding to the car damage picture as a third preset rotation category, and determining a rotation control parameter corresponding to the third preset rotation category according to the pre-determined mapping relation between rotation categories and rotation control parameters, wherein the fourth preset rotation category is clockwise rotation of 180 degrees or counterclockwise rotation of 180 degrees;
• rotating the received car damage picture according to the determined rotation control parameter to generate a rotation picture to be secondarily identified;
• and
• identifying, by using the pre-trained picture rotation category identification model, a secondary identification rotation category corresponding to the rotation picture to be secondarily identified.

A non-transitory computer-readable storage medium, storing a car damage picture angle correction system, wherein the car damage picture angle correction system is executable by at least one processor, such that the at least one processor executes the following steps:

• A. after the car damage picture angle correction system receives a car damage picture to be classified and identified, identifying a rotation category corresponding to the received car damage picture by using a pre-trained picture rotation category identification model;
• B. determining a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters, the rotation control parameter comprising a rotation angle and a rotation direction;
• and
• C. rotating the received car damage picture according to the determined rotation control parameter, so as to generate an angle-normal car damage picture;
• wherein the processor is further configured to execute the car damage picture angle correction system to implement the following steps:
• analyzing whether the identified rotation category corresponding to the car damage picture is a second preset rotation category or a third preset rotation category, wherein the second preset rotation category is clockwise rotation of 90 degrees, and the third preset rotation category is clockwise rotation of 270 degrees;
• or, the second preset rotation category is clockwise rotation of 270 degrees, and the third preset rotation category is clockwise rotation of 90 degrees;
• determining, if the identified rotation category is a second preset rotation category, a rotation control parameter corresponding to the identified rotation category according to a pre-determined mapping relation between rotation categories and rotation control parameters;
• determining, if the secondary identification rotation category is a first preset rotation category, the rotation picture to be secondarily identified as an angle-normal car damage picture, wherein the first preset rotation category is clockwise rotation of 0 degree or clockwise rotation of 360 degrees;
• determining, if the secondary identification rotation category is a fourth preset rotation category, the identified rotation category corresponding to the car damage picture as a third preset rotation category, and determining a rotation control parameter corresponding to the third preset rotation category according to the pre-determined mapping relation between rotation categories and rotation control parameters, wherein the fourth preset rotation category is clockwise rotation of 180 degrees or counterclockwise rotation of 180 degrees;
• rotating the received car damage picture according to the determined rotation control parameter to generate a rotation picture to be secondarily identified;
• and
• identifying, by using the pre-trained picture rotation category identification model, a secondary identification rotation category corresponding to the rotation picture to be secondarily identified.