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Visiongraph

# Always the latest (tracks the current branch):
https://github.com/going-haywire/haybale-visiongraph/blob/master/marketstall.toml

# Frozen to this version:
https://github.com/going-haywire/haybale-visiongraph/blob/v0.0.37/marketstall.toml

Visiongraph is a computer-vision pipeline library designed to simplify the prototyping of image-based algorithms

Nodes

Vision

  • Annotate Results — Draw estimator results (boxes / masks / poses) onto a frame
  • Frame Event — Triggered when a camera frame is ready; exposes colour/depth/infrared streams
  • Frame Info Display — Displays information about frames with live preview
  • OAK-D Camera — Opens an OAK-D depth camera and emits colour/depth/infrared frame callbacks
  • Object Detector — Detect objects in a frame (bounding box + class + score)
  • Pose Estimator — Estimate human body pose (named joints + skeleton) per person
  • Segmentation — Instance segmentation: detect objects and their pixel masks
  • Tracker — Assign stable tracking ids to detections across frames
  • Web Camera — Starts a webcam stream and emits frame callbacks

Types

  • Depth Frame — Single-channel uint16 metric depth buffer (millimetres)
  • Detection Result — Object detections: bounding box, class, score (and tracking id)
  • Gray Frame — Single-channel uint8 luminance video frame (e.g. infrared)
  • Landmark Result — Landmark detections: a detection plus a set of landmark points
  • Multiframe Callback — Subscription for multi-frame streams
  • Pose Result — Human pose: landmarks with named joints and skeleton connections
  • RGB Frame — 3-channel uint8 colour video frame
  • Segmentation Result — Instance segmentation: detection plus a per-instance mask
  • Vision Result — A list of estimator results (base type for all result kinds)

Adapters

  • GrayToRgbAdapter — Replicate a single-channel grey frame to a 3-channel colour frame
  • RgbToGrayAdapter — Convert a 3-channel colour frame to a single-channel grey frame (luminance)

Widgets

  • NumpyViewerWidget — Streaming video viewer for numpy arrays using custom StreamingViewer

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0.0.38

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0.0.37 This release

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0.0.36

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0.0.35

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0.0.34

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