Files
dora-zed/dataflow.yml
T
cristhian c1a7d70ba6 add typed Arrow payloads and a dora-image-view dataflow
dora-image-view takes std/media/v1/Image, and dora's compatibility graph
has no edge from std/core/v1/UInt8 to it, so wiring the two failed
`dora validate` whatever the node actually sent. Its flat-buffer fallback
would not have decoded these frames either: it reads width/height
metadata, and this node only published shape.

image and depth now go out as the Image struct, camera_info and
point_cloud as Float32 arrays and camera_state as a string, all built
against the Arrow C data interface in src/arrow so the node still links
no Arrow C++. Shape, dtype and encoding metadata are dropped where the
payload describes itself; intrinsics, frame_id and both timestamps are
unchanged. tests/run.sh covers the packing without a camera or the SDK,
round-tripping each array through pyarrow and rebuilding it under the
sanitizers.

Breaking: image_bgr is renamed to image and every payload changes shape.
dataflow_plot.yml is replaced by dataflow_view.yml, which wires the
viewer from a tag and repeats its contract in input_types so validate
checks both sides of the wiring.
2026-09-15 10:52:08 -05:00

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YAML

# The repository's own example: builds and runs the node from this checkout, so
# `dora validate` picks up the typed contract in dora-node.yml next to it.
# A consumer wires the node from a tag instead — see README.md.
#
# The camera alone, with no viewer and no Python dependency. For a run that
# also displays the stream, use dataflow_view.yml.
strict_types: true
nodes:
- id: zed-camera
path: bin/dora_zed
build: scripts/build.sh
inputs:
tick: dora/timer/millis/100
outputs:
- image
- depth
- point_cloud
- camera_info
- camera_state