SOURCE ARCHIVE OPTIMIZATIONS FOR REDUCING CONTAINER IMAGE SIZES

    公开(公告)号:US20240012663A1

    公开(公告)日:2024-01-11

    申请号:US17416921

    申请日:2021-06-07

    Abstract: In various examples, source archives may be classified, sorted, downloaded, and installed using command files for container image generation. For example, a user may select source archives for inclusion in a container build operation, and the system may classify the source archives as belonging to one of any number of classes and/or sub-classes. Where a size of the source archive is below an associated threshold, the source archive may be included in the container image using native context copy operations. In contrast, where the size of the source archive is above the associated threshold, the source archive may be included in the container image using a local HTTP auto copy operation—e.g., by creating a local HTTP server, and generating a command line such that a container builder retrieves the archive information via the local HTTP server.

    PROCESSING PIPELINES FOR THREE-DIMENSIONAL DATA IN AUTONOMOUS SYSTEMS AND APPLICATIONS

    公开(公告)号:US20230368455A1

    公开(公告)日:2023-11-16

    申请号:US18057039

    申请日:2022-11-18

    CPC classification number: G06T15/005 B60W60/00

    Abstract: In various examples, a three-dimensional (3D) data processing pipeline for autonomous systems and applications is presented. Systems and methods are disclosed for 3D point cloud data processing fused with video analysis applications. Using the systems and methods described herein, processing of 3D data may be performed in different multimedia frameworks, allowing a user to use common libraries and/or to implement custom libraries on top of the existing system design. As a result, conventional 2D video processing may be combined with 3D data processing, to allow for data representing a flat 2D world to represent a rich 3D world. In this way, the fused 3D depth and/or range data with 2D camera image data allows for perception and/or vision that is more powerful, accurate, and precise.

Patent Agency Ranking