Techniques for determining settings for a content capture device
摘要
說明書
For another example, a method may include receiving a first image captured by a content capture device, identifying a first object in the first image, and determining a first update to a first setting of the content capture device. In some examples, the first update may be determined for the first object. In some examples, the first update may be determined using a neural network. The method may further include receiving a second image captured by the content capture device. In some examples, the second image may be captured after the first image. The method may further include identifying a second object in the second image and determining a second update to a second setting of the content capture device. In some examples, the second update may be determined for the second object. In some examples, the first setting and the second setting may be associated with exposure or gain. In some examples, the first setting may be the second setting. In some examples, the first update may be different than the second update. In some examples, the first image and the second image may be in the same field of view The method may further include performing the first update to the first setting of the content capture device and receiving a third image captured by the content capture device. In some examples, the third image may be captured after the first update is performed. The method may further include performing the second update to the second setting of the content capture device and receiving a fourth image captured by the content capture device. In some examples, the fourth image may be captured after the second update is performed. The method may further include combining the third image and the fourth image into a single image. In some examples, the third image and the fourth image may be combined using an image stitcher.
