METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR MODEL TRAINING

    公开(公告)号:US20250029261A1

    公开(公告)日:2025-01-23

    申请号:US18777953

    申请日:2024-07-19

    Abstract: Embodiments of the present application provide a model training method and apparatus, and a device and a storage medium, and relate to the technical field of motion capture. The method includes: training a motion capture model according to a preset training set, wherein the motion capture model includes a time series prediction unit; performing, through a quantization node in the time series prediction unit, a quantization operation and an inverse quantization operation in sequence on model data passing through the quantization node; and adjusting a weight parameter of the time series prediction unit according to an update on a gradient of the time series prediction unit until the motion capture model converges, wherein the weight parameter includes a weight scaling parameter and a weight direction.

    POSITION DETERMINING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20250148637A1

    公开(公告)日:2025-05-08

    申请号:US18934946

    申请日:2024-11-01

    Abstract: The present disclosure provides a position determining method and apparatus, an electronic device and a storage medium. The method includes: determining whether a target object is located in a blind area of a camera at n historical moments of a historical time queue and a target moment; wherein the historical time queue is configured to store historical position information of the target object at latest n historical moments prior to the target moment, where n is a preset positive integer not less than 2; and in response to the target object being located outside the blind area of the camera at both of the n historical moments and the target moment, determining position information of the target object acquired by the camera at the target moment as the position information of the target object at the target moment.

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