Multiview

Overview

Import format for multiview video projects in Supervisely. Videos are grouped by datasets - all videos within one dataset form a synchronized multiview group.

Format description

Supported video formats: .mp4, .avi, .mov, .webm, .wmv, .3gp, .flv, .mkv, .mpeg, .mpg With annotations: Yes Grouped by: Datasets (each dataset = one multiview group)

When to Use Multiview

Multiview mode is particularly useful when you have multiple videos of the same scene captured from different angles or cameras, featuring a specific object of interest.

Unified object across all videos: If you have a common object appearing in different videos, you can annotate it as a single Supervisely object (with a shared ID). When you export and re-import the project, this object will be recreated as a unified entity — a cross-video object spanning all videos in the dataset (multiview set).

Tags are video-specific: Unlike objects, tags apply only within a specific video. When you tag a figure, frame, or video on a particular video, that tag will be associated only with that video and displayed only on it.

Key Features

  • Videos are grouped by datasets

  • Synchronized playback of multiple video streams

  • Unified object annotations across all videos in the multiview group

  • Video-specific tags

  • Optional annotations in Supervisely video format

  • Optional metadata files for keeping video frame offset information

How to Use

Prepare structure:

Example data: download ⬇️

  • Archive zip, tar, tar.xz, tar.gz

  • Folder

Structure explained:

  • Inside project directory can be one or multiple dataset directories

  • Each dataset = one multiview group: All videos within the same dataset will be displayed together

  • Each dataset directory can contain:

  • video/ - directory with video files

  • ann/ - (optional) directory with annotations in Supervisely format

  • metadata/ - (optional) directory with video metadata files

  • Annotation file names pattern: {video_name}.{video_ext}.json

  • Metadata file names pattern: {video_name}.{video_ext}.meta.json

Meta explained

Required setting for the project to import as multiview. Also shown only lines of interest.

Annotation explained

This format uses the standard Supervisely video annotation format. Check the documentation for more details.

Metadata explained

Optional JSON file with custom video information:

offsetType - type of offset, can be frame or time (ms) offsetValue - offset value in frames or milliseconds videoStreamIndex - index of the video stream in the multiview group (starting from 0)

Can contain offset value, video stream index and offset type.

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