Deploying video object segmentation at scale in a day

This page summarizes the projects mentioned and recommended in the original post on /r/machinelearningnews

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  • MiVOS

    [CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

    We've been building a ton of infrastructure to process a lot of video data very quickly at Sieve, and video object segmentation is a cool task a lot of companies have used us for. Models like MiVOS and PointRend have made it possible for companies like RunwayML to build these ML-based video editing features like green screen. We wrote about how you might go about building this yourself in a day.

  • detectron2

    Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

    We've been building a ton of infrastructure to process a lot of video data very quickly at Sieve, and video object segmentation is a cool task a lot of companies have used us for. Models like MiVOS and PointRend have made it possible for companies like RunwayML to build these ML-based video editing features like green screen. We wrote about how you might go about building this yourself in a day.

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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