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dora-image-view/tests/test_opencv_plot.py
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add opencv-plot node for dora dataflows
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

136 lines
3.7 KiB
Python

"""Tests that need neither a dataflow nor a display."""
import io
import cv2
import numpy as np
import pytest
from PIL import Image
from opencv_plot import bbox, decode
from opencv_plot.plot import Bboxes, Plot
WIDTH, HEIGHT = 12, 8
class FakeStorage:
"""Stands in for the Arrow array dora hands to the node."""
def __init__(self, data: np.ndarray) -> None:
self._data = data
def to_numpy(self) -> np.ndarray:
return self._data
@pytest.fixture
def frame() -> np.ndarray:
rng = np.random.default_rng(seed=0)
return rng.integers(0, 255, (HEIGHT, WIDTH, 3), dtype=np.uint8)
def test_bgr8_round_trips_unchanged(frame):
decoded = decode.to_bgr(FakeStorage(frame.ravel()), "bgr8", WIDTH, HEIGHT)
np.testing.assert_array_equal(decoded, frame)
def test_rgb8_round_trips_unchanged(frame):
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
decoded = decode.to_bgr(FakeStorage(rgb.ravel()), "rgb8", WIDTH, HEIGHT)
np.testing.assert_array_equal(decoded, frame)
@pytest.mark.parametrize(("suffix", "encoding"), [
(".png", "png"),
(".jpg", "jpeg"),
(".bmp", "bmp"),
(".webp", "webp"),
])
def test_self_describing_encodings_need_no_dimensions(frame, suffix, encoding):
ok, buffer = cv2.imencode(suffix, frame)
assert ok
decoded = decode.to_bgr(FakeStorage(buffer.ravel()), encoding, None, None)
assert decoded.shape == (HEIGHT, WIDTH, 3)
def test_yuv420_is_decoded(frame):
planes = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV_I420)
decoded = decode.to_bgr(FakeStorage(planes.ravel()), "yuv420", WIDTH, HEIGHT)
assert decoded.shape == (HEIGHT, WIDTH, 3)
def test_avif_is_decoded(frame):
buffer = io.BytesIO()
Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)).save(buffer, format="AVIF")
payload = np.frombuffer(buffer.getvalue(), dtype=np.uint8)
decoded = decode.to_bgr(FakeStorage(payload), "avif", None, None)
assert decoded.shape == (HEIGHT, WIDTH, 3)
def test_decoded_frame_is_writable():
storage = FakeStorage(np.arange(2 * 3 * 3, dtype=np.uint8))
decoded = decode.to_bgr(storage, "bgr8", width=3, height=2)
# The frame is annotated in place, so it must not be a read-only view.
decoded[0, 0] = 0
def test_raw_encodings_need_dimensions():
storage = FakeStorage(np.zeros(18, dtype=np.uint8))
with pytest.raises(RuntimeError, match="width"):
decode.to_bgr(storage, "bgr8", width=None, height=None)
def test_short_payload_is_rejected():
storage = FakeStorage(np.zeros(4, dtype=np.uint8))
with pytest.raises(RuntimeError, match="expected at least"):
decode.to_bgr(storage, "bgr8", width=3, height=2)
def test_unsupported_encoding_is_rejected():
storage = FakeStorage(np.zeros(4, dtype=np.uint8))
with pytest.raises(RuntimeError, match="unsupported image encoding"):
decode.to_bgr(storage, "tiff", width=None, height=None)
def test_xywh_is_converted_to_corners():
import pyarrow as pa
value = pa.array(
[
{
"bbox": np.array([10.0, 20.0, 4.0, 6.0]),
"conf": np.array([0.5]),
"labels": np.array(["cat"]),
},
],
)
boxes = bbox.parse(value, "xywh")
np.testing.assert_allclose(boxes.corners, [[8.0, 17.0, 12.0, 23.0]])
assert list(boxes.labels) == ["cat"]
def test_headless_show_draws_without_a_window():
plot = Plot(headless=True, text="hello")
plot.bboxes = Bboxes(
corners=np.array([[1.0, 1.0, 5.0, 5.0]]),
conf=np.array([0.9]),
labels=np.array(["cat"]),
)
frame = np.zeros((32, 32, 3), dtype=np.uint8)
assert plot.show(frame) is False
assert frame.any(), "the overlays should have marked the frame"