forked from tangger/lerobot
Mock OpenCVCamera
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@@ -10,10 +10,9 @@ pytest -sx tests/test_cameras.py::test_camera
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import numpy as np
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import pytest
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from lerobot import available_robots
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from lerobot.common.robot_devices.cameras.opencv import OpenCVCamera, save_images_from_cameras
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from lerobot.common.robot_devices.utils import RobotDeviceAlreadyConnectedError, RobotDeviceNotConnectedError
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from tests.utils import require_robot
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from tests.utils import TEST_ROBOT_TYPES, require_robot
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CAMERA_INDEX = 2
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# Maximum absolute difference between two consecutive images recored by a camera.
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@@ -25,7 +24,7 @@ def compute_max_pixel_difference(first_image, second_image):
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return np.abs(first_image.astype(float) - second_image.astype(float)).max()
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@pytest.mark.parametrize("robot_type", available_robots)
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@pytest.mark.parametrize("robot_type", TEST_ROBOT_TYPES)
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@require_robot
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def test_camera(request, robot_type):
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"""Test assumes that `camera.read()` returns the same image when called multiple times in a row.
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@@ -78,11 +77,11 @@ def test_camera(request, robot_type):
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camera.read()
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color_image = camera.read()
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async_color_image = camera.async_read()
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print(
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error_msg = (
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"max_pixel_difference between read() and async_read()",
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compute_max_pixel_difference(color_image, async_color_image),
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)
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assert np.allclose(color_image, async_color_image, rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE)
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assert np.allclose(color_image, async_color_image, rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE), error_msg
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# Test disconnecting
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camera.disconnect()
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@@ -105,12 +104,6 @@ def test_camera(request, robot_type):
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# TODO(rcadene): Add a test for a camera that doesnt support fps=60 and raises an OSError
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# TODO(rcadene): Add a test for a camera that supports fps=60
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# Test fps=10 raises an OSError
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camera = OpenCVCamera(CAMERA_INDEX, fps=10)
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with pytest.raises(OSError):
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camera.connect()
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del camera
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# Test width and height can be set
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camera = OpenCVCamera(CAMERA_INDEX, fps=30, width=1280, height=720)
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camera.connect()
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@@ -131,7 +124,7 @@ def test_camera(request, robot_type):
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del camera
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@pytest.mark.parametrize("robot_type", available_robots)
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@pytest.mark.parametrize("robot_type", TEST_ROBOT_TYPES)
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@require_robot
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def test_save_images_from_cameras(tmpdir, request, robot_type):
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save_images_from_cameras(tmpdir, record_time_s=1)
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@@ -16,9 +16,12 @@
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import platform
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from functools import wraps
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import cv2
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import numpy as np
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import pytest
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import torch
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from lerobot import available_robots
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from lerobot.common.utils.import_utils import is_package_available
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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@@ -28,6 +31,8 @@ DEFAULT_CONFIG_PATH = "lerobot/configs/default.yaml"
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ROBOT_CONFIG_PATH_TEMPLATE = "lerobot/configs/robot/{robot}.yaml"
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TEST_ROBOT_TYPES = available_robots + [f"mocked_{robot_type}" for robot_type in available_robots]
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def require_x86_64_kernel(func):
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"""
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@@ -175,11 +180,58 @@ def require_robot(func):
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robot_type = kwargs.get("robot_type")
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if request is None:
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raise ValueError("The 'request' fixture must be passed to the test function as a parameter.")
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raise ValueError("The 'request' fixture must be an argument of the test function.")
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# Run test with a monkeypatched version of the robot devices.
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if robot_type.startswith("mocked_"):
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kwargs["robot_type"] = robot_type.replace("mocked_", "")
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monkeypatch = request.getfixturevalue("monkeypatch")
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monkeypatch.setattr(cv2, "VideoCapture", MockVideoCapture)
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# Run test with a real robot. Skip test if robot connection fails.
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else:
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# `is_robot_available` is defined in `tests/conftest.py`
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if not request.getfixturevalue("is_robot_available"):
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pytest.skip(f"A {robot_type} robot is not available.")
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# The function `is_robot_available` is defined in `tests/conftest.py`
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if not request.getfixturevalue("is_robot_available"):
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pytest.skip(f"A {robot_type} robot is not available.")
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return func(*args, **kwargs)
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return wrapper
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class MockVideoCapture(cv2.VideoCapture):
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image = {
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"480x640": np.random.randint(0, 256, size=(480, 640, 3), dtype=np.uint8),
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"720x1280": np.random.randint(0, 256, size=(720, 1280, 3), dtype=np.uint8),
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}
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self._mock_dict = {
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cv2.CAP_PROP_FPS: 30,
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cv2.CAP_PROP_FRAME_WIDTH: 640,
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cv2.CAP_PROP_FRAME_HEIGHT: 480,
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}
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def isOpened(self): # noqa: N802
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return True
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def set(self, propId: int, value: float) -> bool: # noqa: N803
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self._mock_dict[propId] = value
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return True
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def get(self, propId: int) -> float: # noqa: N803
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value = self._mock_dict[propId]
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if value == 0:
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if propId == cv2.CAP_PROP_FRAME_HEIGHT:
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value = 480
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elif propId == cv2.CAP_PROP_FRAME_WIDTH:
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value = 640
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return value
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def read(self):
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h = self.get(cv2.CAP_PROP_FRAME_HEIGHT)
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w = self.get(cv2.CAP_PROP_FRAME_WIDTH)
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ret = True
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return ret, self.image[f"{h}x{w}"]
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