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| from pathlib import Path
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| import numpy as np
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| import pytest
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| from lerobot.cameras.configs import Cv2Rotation
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| from lerobot.cameras.opencv import OpenCVCamera, OpenCVCameraConfig
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| from lerobot.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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| TEST_ARTIFACTS_DIR = Path(__file__).parent.parent / "artifacts" / "cameras"
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| DEFAULT_PNG_FILE_PATH = TEST_ARTIFACTS_DIR / "image_160x120.png"
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| TEST_IMAGE_SIZES = ["128x128", "160x120", "320x180", "480x270"]
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| TEST_IMAGE_PATHS = [TEST_ARTIFACTS_DIR / f"image_{size}.png" for size in TEST_IMAGE_SIZES]
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| def test_abc_implementation():
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| """Instantiation should raise an error if the class doesn't implement abstract methods/properties."""
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| config = OpenCVCameraConfig(index_or_path=0)
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| _ = OpenCVCamera(config)
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| def test_connect():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| assert camera.is_connected
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| def test_connect_already_connected():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| with pytest.raises(DeviceAlreadyConnectedError):
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| camera.connect(warmup=False)
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| def test_connect_invalid_camera_path():
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| config = OpenCVCameraConfig(index_or_path="nonexistent/camera.png")
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| camera = OpenCVCamera(config)
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| with pytest.raises(ConnectionError):
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| camera.connect(warmup=False)
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| def test_invalid_width_connect():
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| config = OpenCVCameraConfig(
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| index_or_path=DEFAULT_PNG_FILE_PATH,
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| width=99999,
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| height=480,
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| )
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| camera = OpenCVCamera(config)
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| with pytest.raises(RuntimeError):
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| camera.connect(warmup=False)
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| @pytest.mark.parametrize("index_or_path", TEST_IMAGE_PATHS, ids=TEST_IMAGE_SIZES)
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| def test_read(index_or_path):
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| config = OpenCVCameraConfig(index_or_path=index_or_path)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| img = camera.read()
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| assert isinstance(img, np.ndarray)
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| def test_read_before_connect():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| with pytest.raises(DeviceNotConnectedError):
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| _ = camera.read()
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| def test_disconnect():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| camera.disconnect()
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| assert not camera.is_connected
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| def test_disconnect_before_connect():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| with pytest.raises(DeviceNotConnectedError):
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| _ = camera.disconnect()
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| @pytest.mark.parametrize("index_or_path", TEST_IMAGE_PATHS, ids=TEST_IMAGE_SIZES)
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| def test_async_read(index_or_path):
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| config = OpenCVCameraConfig(index_or_path=index_or_path)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| try:
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| img = camera.async_read()
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| assert camera.thread is not None
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| assert camera.thread.is_alive()
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| assert isinstance(img, np.ndarray)
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| finally:
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| if camera.is_connected:
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| camera.disconnect()
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| def test_async_read_timeout():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| try:
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| with pytest.raises(TimeoutError):
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| camera.async_read(timeout_ms=0)
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| finally:
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| if camera.is_connected:
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| camera.disconnect()
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| def test_async_read_before_connect():
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| config = OpenCVCameraConfig(index_or_path=DEFAULT_PNG_FILE_PATH)
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| camera = OpenCVCamera(config)
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| with pytest.raises(DeviceNotConnectedError):
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| _ = camera.async_read()
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| @pytest.mark.parametrize("index_or_path", TEST_IMAGE_PATHS, ids=TEST_IMAGE_SIZES)
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| @pytest.mark.parametrize(
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| "rotation",
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| [
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| Cv2Rotation.NO_ROTATION,
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| Cv2Rotation.ROTATE_90,
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| Cv2Rotation.ROTATE_180,
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| Cv2Rotation.ROTATE_270,
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| ],
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| ids=["no_rot", "rot90", "rot180", "rot270"],
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| )
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| def test_rotation(rotation, index_or_path):
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| filename = Path(index_or_path).name
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| dimensions = filename.split("_")[-1].split(".")[0]
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| original_width, original_height = map(int, dimensions.split("x"))
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|
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| config = OpenCVCameraConfig(index_or_path=index_or_path, rotation=rotation)
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| camera = OpenCVCamera(config)
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| camera.connect(warmup=False)
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| img = camera.read()
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| assert isinstance(img, np.ndarray)
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| if rotation in (Cv2Rotation.ROTATE_90, Cv2Rotation.ROTATE_270):
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| assert camera.width == original_height
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| assert camera.height == original_width
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| assert img.shape[:2] == (original_width, original_height)
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| else:
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| assert camera.width == original_width
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| assert camera.height == original_height
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| assert img.shape[:2] == (original_height, original_width)
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|