Commit Graph
4 Commits
Author SHA1 Message Date
cristhian b9d9843fa1 fix strict-type validation by giving the example source a manifest
`dora validate` matches a node manifest to a `path:` node by entrypoint. With
no manifest beside examples/source.py the root dora-node.yml was tried against
it, did not match its entrypoint, and warned -- which `strict_types: true`
turns into a non-zero exit, failing CI.

Declaring the source's output types in the new manifest rather than as
`output_types:` in dataflow.yml is also what makes them checked: an inline
annotation shadows the manifest, so the manifest would be injected but never
compared against the viewer's.

Verified with dora-cli 1.0.1: validate passes with both contracts injected, and
`CI=true SOURCE_FRAMES=30 dora run dataflow.yml --uv` runs both nodes to a
clean exit.
2026-09-15 03:22:27 -03:00
cristhianandClaude Opus 5 22bd1e9e89 add an in-repo synthetic source so the example needs no network
validate / dataflow (pull_request) Failing after 59m9s
validate / test (pull_request) Successful in 59m8s
The example dataflow pulled opencv-video-capture and pyarrow-sender from
dora-hub, needed a webcam, and left `bbox` unwired because every bbox source
is a detector. examples/source.py emits an animated frame, the box around the
square in it, and a caption, so the dataflow exercises all three inputs with
nothing outside this checkout.

SOURCE_FRAMES bounds the run, which lets CI run the dataflow headless rather
than only validate it. Drops the dora-zed and dora-yolo wirings from the
README and trims AGENTS.md to what the code and README do not already say.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018WLVZCFFcCH1EpTXGfS9aD
2026-09-14 16:09:01 -05:00
cristhianandClaude Opus 5 e2debe0581 refactor: rename the node from opencv-plot to dora-plot
The repository is dora-plot, but the package, the entrypoint, the manifest
name and the window title were all opencv-plot. Consumers wire the node by
`path:`, so the split name was visible in every dataflow.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018WLVZCFFcCH1EpTXGfS9aD
2026-09-14 16:08:48 -05:00
cesar 43cb1ff01c add opencv-plot node for dora dataflows
validate / validate (push) Successful in 58m52s
validate / test (push) Failing after 58m59s
validate / validate (pull_request) Successful in 58m50s
validate / test (pull_request) Failing after 58m53s
A display sink that overlays bounding boxes and text on an image input and
shows it in an OpenCV window. Based on opencv-plot from dora-hub, brought up
to the dora 1.0 node contract and packaged with uv.

Python rather than Rust: the opencv Rust crate generates its bindings from the
OpenCV headers on the build machine, so it needs libopencv-dev and libclang-dev
per machine and per architecture and does not cross-compile. Every dependency
here ships prebuilt wheels for linux-x86_64, linux-aarch64 and macos-arm64.

Covers every encoding the upstream node did — bgr8, rgb8, jpeg/jpg/jpe/bmp/
webp/png, yuv420 and avif — plus both bbox formats, the text overlay,
PLOT_WIDTH/PLOT_HEIGHT and headless operation under CI=true.
2026-09-10 18:55:28 -03:00