chore: import upstream snapshot with attribution

2026-07-13 13:05:14 +08:00
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+<!--[metadata]
+title = "Interactive 3D annotation app with Rerun and Gradio"
+tags = ["2D", "3D", "Pinhole camera", "Time series", "SAM", "Segmentation"]
+source = "https://github.com/rerun-io/annotation-example"
+thumbnail = "https://static.rerun.io/square-thumbnail/931d51df4f2cfd84293c5c9212e5e84cecbd79b4/480w.png"
+thumbnail_dimensions = [480, 344]
+-->
+
+https://vimeo.com/1078165216?autoplay=1&loop=1&autopause=0&background=1&muted=1&ratio=2802:1790
+
+## Background
+
+This example showcases how to use Rerun with gradio to generate an annotation app. It consists of two different modes both of which leverage Segment Anything 2.
+
+The first mode focuses on tracking an object in a monocular video stream. In addition to segmentation masks, it generates real-time depth maps and point clouds to provide full 3D spatial context, enabling users to visualize, inspect, and annotate the tracked object directly in three-dimensional space.
+
+The second mode uses a multiview RGB-D video dataset. By obtaining segmentation masks from two synchronized and calibrated RGB-D views, the app triangulates these 2D masks to reconstruct a precise 3D mask of the chosen object. It then propagates this 3D mask across all camera views and through each frame of the videos, resulting in a fully tracked 3D object trajectory over time.
+
+## Run the code
+
+This is an external example. Check the [repository](https://github.com/rerun-io/annotation-example) for more information on how to run the code.
+
+TLDR: make sure you have the [Pixi package manager](https://pixi.sh/latest/#installation) installed and run
+```
+git clone https://github.com/rerun-io/annotation-example
+cd annotation-example
+pixi run app
+```
+
+this will run the single view (monocular) app
+
+```
+pixi run multiview-app
+```
+will run the multiview rgb-d app