Lens apparatus, image pickup apparatus, control method, and computer-readable storage medium

1. A lens apparatus comprising:

an optical member;

a driving device configured to drive the optical member;

a detector configured to detect a state relating to the driving; and

a processor configured to generate a control signal for the driving device based on first information about the detected state,

wherein the processor includes a machine learning model configured to generate an output relating to the control signal based on the first information and second information about the lens apparatus, the second information being different from the first information, the machine learning model being adjusted based on a granted reward with respect to the second information.

2. The lens apparatus according to claim 1 , wherein the first information includes information about a position of the optical member.

3. The lens apparatus according to claim 1 , wherein the second information includes information about at least one of a temperature, a tilt, and an optical characteristic of the lens apparatus.

4. The lens apparatus according to claim 1 , wherein the machine learning model includes a neural network.

5. The lens apparatus according to claim 1 ,

wherein the optical member is a focus lens unit, and

wherein the second information includes at least one of information about a relationship between a shift amount of the focus lens unit and a shift amount of an image plane of the lens apparatus, information about a depth of focus of the lens apparatus, and information about an object distance of the lens apparatus.

6. The lens apparatus according to claim 1 ,

wherein the optical member is a zoom lens unit, and

wherein the second information includes at least one of information about a relationship between a position of the zoom lens unit and an angle of view of the lens apparatus, information about a relationship between a shift amount of the zoom lens unit and a shift amount of an image plane of the lens apparatus, and information about a depth of focus of the lens apparatus.

7. The lens apparatus according to claim 1 ,

wherein the optical member is an image shake correction lens unit, and

wherein the second information includes information indicating a relationship between a shift amount of the image shake correction lens unit and a shift amount of an image formed by the lens apparatus.

8. The lens apparatus according to claim 1 ,

wherein the optical member is an aperture stop, and

wherein the second information includes at least one of information about an F-number of the lens apparatus, information about a luminance of an image obtained via the lens apparatus, and information indicating a relationship among a position of a zoom lens unit included in the lens apparatus, an opening degree of the aperture stop, and an F-number of the lens apparatus.

9. The lens apparatus according to claim 1 , wherein the second information includes information about a second optical member different from a first optical member serving as the optical member.

10. The lens apparatus according to claim 1 ,

wherein the optical member includes a first optical member and a second optical member different from the first optical member,

wherein the driving device includes a first driving device configured to drive the first optical member, and a second driving device configured to drive the second optical member, the second driving device being different from the first driving device, and

wherein the machine learning model generates, as the output, a first output for the first driving device and a second output for the second driving device.

11. The lens apparatus according to claim 1 , wherein the machine learning model is configured to generates, as the output, a control signal for the driving device.

12. The lens apparatus according to claim 1 ,

wherein the processor includes a control unit configured to generate an output relating to the control signal, the control unit being different from the machine learning model, and

wherein the control signal is obtained based on an output generated by the controller and an output generated by the machine learning model.

13. The lens apparatus according to claim 12 , wherein the machine learning model is configured to generate an output in a case where a predetermined condition is satisfied.

14. The lens apparatus according to claim 13 , wherein the predetermined condition includes a condition for image pickup which is performed via the lens apparatus.

15. The lens apparatus according to claim 14 , wherein the condition for the image pickup includes at least one of a condition that the image pickup is image pickup of a motion image, a condition that recording of a motion image is performed through the image pickup, a condition that zooming is performed at a speed not higher than a threshold, and a condition that image pickup of a motion image is performed at a depth of focus not wider than a threshold.

16. An image pickup apparatus comprising:

the lens apparatus according to claim 1 ; and

an image pickup element configured to pick up an image formed by the lens apparatus.

17. A control method of controlling generation of a control signal for a driving device configured to drive an optical member of a lens apparatus based on first information about a state of the driving, wherein, in the control method, a machine learning model is used, the machine learning model being configured to generate an output relating to the control signal based on the first information and second information about the lens apparatus different from the first information, a reward being granted to the machine learning model with respect to the second information, and the machine learning model being adjusted based on the reward.

18. A computer-readable storage medium storing a program for causing a computer to execute a control method according to claim 17 .

19. The lens apparatus according to claim 1 , wherein the processor is configured to grant the reward to the machine learning model with respect to the second information based on a performance of the lens apparatus.

20. The control method according to claim 17 , wherein the reward is granted to the machine learning model with respect to the second information based on a performance of the lens apparatus.

21. A computer-readable storage medium storing a program for causing a computer to execute a control method according to claim 17 .