AGENTS.md

@@ -36,10 +36,10 @@ uv run ruff check .
 
 ## Architecture
 
-- **`opencv_plot/main.py`** — Argument parsing and the dora event loop, nothing else. `image` decodes and redraws; `bbox` and `text` only store state. The env var wins over the CLI flag for `PLOT_WIDTH`/`PLOT_HEIGHT`, matching the upstream node. `Node(args.name)` rather than `Node()` so the node also runs standalone as a dynamic node.
-- **`opencv_plot/decode.py`** — `to_bgr()`: every supported encoding to a writable BGR array. `width`/`height` are only consulted for the raw encodings (`bgr8`, `rgb8`, `yuv420`); the rest carry their own dimensions, so a missing dimension is an error only where it actually matters. Two behaviours are deliberate, not bugs: `bgr8` **copies** (the payload may be a read-only view on shared memory, and the frame is annotated in place), and `yuv420` converts with `COLOR_YUV420p2RGB` rather than `...2BGR` — the upstream node converts to RGB and then displays it as BGR, and that channel swap is part of the behaviour callers already see.
-- **`opencv_plot/plot.py`** — `Plot` (the overlay state and the window) and `Bboxes`. `show()` draws, resizes and displays, and returns whether `q` was pressed. Resizing only happens when *both* `PLOT_WIDTH` and `PLOT_HEIGHT` are set. `headless` (from `CI=true`) skips only the window: every input is still decoded, which is what makes the node safe in a pipeline test.
-- **`opencv_plot/bbox.py`** — Parses the `bbox` struct into xyxy corners. `xywh` is centre-based (x, y are the box centre). `_flat()` unwraps the single-element list that `pa.array([{...}])` produces around each field, and reads a field stored flat as-is.
+- **`dora_plot/main.py`** — Argument parsing and the dora event loop, nothing else. `image` decodes and redraws; `bbox` and `text` only store state. The env var wins over the CLI flag for `PLOT_WIDTH`/`PLOT_HEIGHT`, matching the upstream node. `Node(args.name)` rather than `Node()` so the node also runs standalone as a dynamic node.
+- **`dora_plot/decode.py`** — `to_bgr()`: every supported encoding to a writable BGR array. `width`/`height` are only consulted for the raw encodings (`bgr8`, `rgb8`, `yuv420`); the rest carry their own dimensions, so a missing dimension is an error only where it actually matters. Two behaviours are deliberate, not bugs: `bgr8` **copies** (the payload may be a read-only view on shared memory, and the frame is annotated in place), and `yuv420` converts with `COLOR_YUV420p2RGB` rather than `...2BGR` — the upstream node converts to RGB and then displays it as BGR, and that channel swap is part of the behaviour callers already see.
+- **`dora_plot/plot.py`** — `Plot` (the overlay state and the window) and `Bboxes`. `show()` draws, resizes and displays, and returns whether `q` was pressed. Resizing only happens when *both* `PLOT_WIDTH` and `PLOT_HEIGHT` are set. `headless` (from `CI=true`) skips only the window: every input is still decoded, which is what makes the node safe in a pipeline test.
+- **`dora_plot/bbox.py`** — Parses the `bbox` struct into xyxy corners. `xywh` is centre-based (x, y are the box centre). `_flat()` unwraps the single-element list that `pa.array([{...}])` produces around each field, and reads a field stored flat as-is.
 - **`dora-node.yml`** — Node manifest (`apiVersion: 1`). `dora validate` injects these types into any dataflow that reaches the node by `path:`; a `git:`-sourced node does **not** pick it up, which is why the dataflow builds from the checkout. `image` and `text` carry type URNs naming the element type (`std/core/v1/UInt8`, `.../String`) because each payload is a raw buffer described by its metadata, not an Arrow struct. `bbox` is deliberately **untyped**: senders disagree on whether its numeric fields are 32- or 64-bit, and the node reads either.
 - **`dataflow.yml`** — Example dataflow: a webcam and a one-shot caption feeding the viewer, with `strict_types: true`. Note the `output_types:` on the two `git:`-sourced nodes — their own manifests are not injected, so without those annotations strict validation fails on an untyped upstream. `bbox` is left unwired on purpose; every bbox source is a detector, and wiring one would put a model download in front of a webcam preview.
 - **`.gitea/workflows/validate.yml`** — CI gate running `dora validate` on the dataflow on push and pull request. Needs no camera and no display.

README.md

@@ -17,7 +17,7 @@ nodes:
     git: ssh://git@gitea.liria.cl:5001/liria/dora-plot.git
     tag: v0.1.0
     build: pip install .
-    path: opencv-plot
+    path: dora-plot
     inputs:
       image: camera/image
       bbox: detector/bbox
@@ -55,7 +55,7 @@ the camera and the viewer:
       - bbox
 
   - id: plot
-    path: opencv-plot
+    path: dora-plot
     build: pip install .
     inputs:
       image: camera/image
@@ -91,7 +91,7 @@ of that state:
 - An **`image`** event decodes the frame and immediately redraws: it draws every stored
   bbox (green rectangle plus `label, conf` text), draws the stored text at the top left,
   resizes to `PLOT_WIDTH`x`PLOT_HEIGHT` if both are set, and shows it in a window titled
-  `Dora Node: opencv-plot`. Press `q` in the window to quit.
+  `Dora Node: dora-plot`. Press `q` in the window to quit.
 - A **`bbox`** or **`text`** event only updates stored state; it is drawn on the next
   `image` redraw.
 

dataflow.yml

@@ -34,7 +34,7 @@ nodes:
       data: std/core/v1/String
 
   - id: plot
-    path: opencv-plot
+    path: dora-plot
     build: pip install .
     inputs:
       image: camera/image

dora-node.yml

@@ -5,14 +5,14 @@
 # dataflow against it without running the node, so CI needs neither OpenCV nor
 # a display.
 apiVersion: 1
-name: opencv-plot
+name: dora-plot
 namespace: liria
 description: Overlays bounding boxes, labels, and text on an image input and displays it in an OpenCV window
 categories: [visualization, debug]
 keywords: [opencv, plot, bbox, bounding-box, image, visualization, object-detection]
 
 runtime: python
-entrypoint: opencv-plot
+entrypoint: dora-plot
 # `dora build --uv` / `dora run --uv` rewrites this to `uv pip install .` and
 # gives the node its own managed venv under `.dora/python-envs/`, so the
 # dependencies it sees at runtime are the ones installed here.
@@ -57,7 +57,7 @@ example: |
     git: ssh://git@gitea.liria.cl:5001/liria/dora-plot.git
     tag: v0.1.0
     build: pip install .
-    path: opencv-plot
+    path: dora-plot
     inputs:
       image: camera/image
       bbox: detector/bbox

dora_plot/bbox.py

@@ -2,7 +2,7 @@
 
 import numpy as np
 
-from opencv_plot.plot import Bboxes
+from dora_plot.plot import Bboxes
 
 
 def parse(value, bbox_format: str) -> Bboxes:

dora_plot/main.py

@@ -9,8 +9,8 @@ import os
 
 from dora import Node
 
-from opencv_plot import bbox, decode
-from opencv_plot.plot import Plot
+from dora_plot import bbox, decode
+from dora_plot.plot import Plot
 
 
 def main() -> None:
@@ -59,7 +59,7 @@ def _parse_args() -> argparse.Namespace:
     )
     parser.add_argument(
         "--name",
-        default="opencv-plot",
+        default="dora-plot",
         help="The name of the node in the dataflow, used when running as a dynamic node.",
     )
     parser.add_argument(

dora_plot/plot.py

@@ -5,7 +5,7 @@ from dataclasses import dataclass, field
 import cv2
 import numpy as np
 
-WINDOW = "Dora Node: opencv-plot"
+WINDOW = "Dora Node: dora-plot"
 GREEN = (0, 255, 0)
 WHITE = (255, 255, 255)
 FONT = cv2.FONT_HERSHEY_SIMPLEX

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "opencv-plot"
+name = "dora-plot"
 version = "0.1.0"
 description = "Dora node that overlays bounding boxes and text on an image and displays it in an OpenCV window"
 readme = "README.md"
@@ -21,7 +21,7 @@ dependencies = [
 ]
 
 [project.scripts]
-opencv-plot = "opencv_plot.main:main"
+dora-plot = "dora_plot.main:main"
 
 [dependency-groups]
 dev = ["pytest >= 8.1", "ruff >= 0.9"]
@@ -31,7 +31,7 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
-packages = ["opencv_plot"]
+packages = ["dora_plot"]
 
 [tool.ruff.lint]
 extend-select = ["D", "I", "N", "RET", "UP"]

tests/test_dora_plot.py

@@ -7,8 +7,8 @@ import numpy as np
 import pytest
 from PIL import Image
 
-from opencv_plot import bbox, decode
-from opencv_plot.plot import Bboxes, Plot
+from dora_plot import bbox, decode
+from dora_plot.plot import Bboxes, Plot
 
 WIDTH, HEIGHT = 12, 8
 

uv.lock

@@ -15,6 +15,42 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
 ]
 
+[[package]]
+name = "dora-plot"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "dora-rs" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+    { name = "opencv-python" },
+    { name = "pillow" },
+    { name = "pillow-avif-plugin" },
+    { name = "pyarrow" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "pytest" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "dora-rs", specifier = ">=1.0.1" },
+    { name = "numpy", specifier = ">=2.0" },
+    { name = "opencv-python", specifier = ">=4.9" },
+    { name = "pillow", specifier = ">=10.4" },
+    { name = "pillow-avif-plugin", specifier = ">=1.4" },
+    { name = "pyarrow", specifier = ">=17.0" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "pytest", specifier = ">=8.1" },
+    { name = "ruff", specifier = ">=0.9" },
+]
+
 [[package]]
 name = "dora-rs"
 version = "1.0.1"
@@ -206,42 +242,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/fb/0b/b12a2df5d1b774bd9007a6fdff9381145b6223d37f11afc9c37ab0efd9a1/numpy-2.5.3-cp315-cp315t-win_arm64.whl", hash = "sha256:befa1ae5bd6030b3f512b43ff3fa5290bbed6b84411a44244b14adf835f5b89d", size = 10850807, upload-time = "2026-09-06T16:27:43.868Z" },
 ]
 
-[[package]]
-name = "opencv-plot"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "dora-rs" },
-    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
-    { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
-    { name = "opencv-python" },
-    { name = "pillow" },
-    { name = "pillow-avif-plugin" },
-    { name = "pyarrow" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "pytest" },
-    { name = "ruff" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "dora-rs", specifier = ">=1.0.1" },
-    { name = "numpy", specifier = ">=2.0" },
-    { name = "opencv-python", specifier = ">=4.9" },
-    { name = "pillow", specifier = ">=10.4" },
-    { name = "pillow-avif-plugin", specifier = ">=1.4" },
-    { name = "pyarrow", specifier = ">=17.0" },
-]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "pytest", specifier = ">=8.1" },
-    { name = "ruff", specifier = ">=0.9" },
-]
-
 [[package]]
 name = "opencv-python"
 version = "5.0.0.93"