公开(公告)号：US20210224050A1

公开(公告)日：2021-07-22

申请号：US17135365

申请日：2020-12-28

Applicant: Snap Inc.

Inventor： Guohui Wang ,  Fenglei Tian ,  Samuel Edward Hare ,  Sumant Hanumante ,  Tony Mathew

IPC: G06F8/41 ,  G06N3/04 ,  G06F9/50

Abstract: Among other things, embodiments of the present disclosure improve the functionality of computer software and systems by facilitating the automatic performance optimization of a software application based on the particular platform upon which the application runs. In some embodiments, the system can automatically choose a set of parameters or methods at run-time from a design space with pre-selected optimization methods and parameters (e.g., algorithms, software libraries, and/or hardware accelerators) for a specific task.

公开(公告)号：US10776663B1

公开(公告)日：2020-09-15

申请号：US16521956

申请日：2019-07-25

Applicant: Snap Inc.

Inventor： Lidiia Bogdanovych ,  William Brendel ,  Samuel Edward Hare ,  Fedir Poliakov ,  Guohui Wang ,  Xuehan Xiong ,  Jianchao Yang ,  Linjie Yang

IPC: G06K9/62 ,  G06T7/11 ,  G06T7/194 ,  G06N3/08 ,  G06N3/04 ,  G06K9/68 ,  G06K9/74 ,  H04N5/76 ,  H04N5/445 ,  H04N7/14

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.