Mock OpenCVCamera

This commit is contained in:
Remi Cadene
2024-09-01 17:36:58 +02:00
committed by Remi Cadene
parent f17d9a2ba1
commit 96cc2433d6
3 changed files with 63 additions and 16 deletions

View File

@@ -10,10 +10,9 @@ pytest -sx tests/test_cameras.py::test_camera
import numpy as np
import pytest
from lerobot import available_robots
from lerobot.common.robot_devices.cameras.opencv import OpenCVCamera, save_images_from_cameras
from lerobot.common.robot_devices.utils import RobotDeviceAlreadyConnectedError, RobotDeviceNotConnectedError
from tests.utils import require_robot
from tests.utils import TEST_ROBOT_TYPES, require_robot
CAMERA_INDEX = 2
# Maximum absolute difference between two consecutive images recored by a camera.
@@ -25,7 +24,7 @@ def compute_max_pixel_difference(first_image, second_image):
return np.abs(first_image.astype(float) - second_image.astype(float)).max()
@pytest.mark.parametrize("robot_type", available_robots)
@pytest.mark.parametrize("robot_type", TEST_ROBOT_TYPES)
@require_robot
def test_camera(request, robot_type):
"""Test assumes that `camera.read()` returns the same image when called multiple times in a row.
@@ -78,11 +77,11 @@ def test_camera(request, robot_type):
camera.read()
color_image = camera.read()
async_color_image = camera.async_read()
print(
error_msg = (
"max_pixel_difference between read() and async_read()",
compute_max_pixel_difference(color_image, async_color_image),
)
assert np.allclose(color_image, async_color_image, rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE)
assert np.allclose(color_image, async_color_image, rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE), error_msg
# Test disconnecting
camera.disconnect()
@@ -105,12 +104,6 @@ def test_camera(request, robot_type):
# TODO(rcadene): Add a test for a camera that doesnt support fps=60 and raises an OSError
# TODO(rcadene): Add a test for a camera that supports fps=60
# Test fps=10 raises an OSError
camera = OpenCVCamera(CAMERA_INDEX, fps=10)
with pytest.raises(OSError):
camera.connect()
del camera
# Test width and height can be set
camera = OpenCVCamera(CAMERA_INDEX, fps=30, width=1280, height=720)
camera.connect()
@@ -131,7 +124,7 @@ def test_camera(request, robot_type):
del camera
@pytest.mark.parametrize("robot_type", available_robots)
@pytest.mark.parametrize("robot_type", TEST_ROBOT_TYPES)
@require_robot
def test_save_images_from_cameras(tmpdir, request, robot_type):
save_images_from_cameras(tmpdir, record_time_s=1)

View File

@@ -16,9 +16,12 @@
import platform
from functools import wraps
import cv2
import numpy as np
import pytest
import torch
from lerobot import available_robots
from lerobot.common.utils.import_utils import is_package_available
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
@@ -28,6 +31,8 @@ DEFAULT_CONFIG_PATH = "lerobot/configs/default.yaml"
ROBOT_CONFIG_PATH_TEMPLATE = "lerobot/configs/robot/{robot}.yaml"
TEST_ROBOT_TYPES = available_robots + [f"mocked_{robot_type}" for robot_type in available_robots]
def require_x86_64_kernel(func):
"""
@@ -175,11 +180,58 @@ def require_robot(func):
robot_type = kwargs.get("robot_type")
if request is None:
raise ValueError("The 'request' fixture must be passed to the test function as a parameter.")
raise ValueError("The 'request' fixture must be an argument of the test function.")
# Run test with a monkeypatched version of the robot devices.
if robot_type.startswith("mocked_"):
kwargs["robot_type"] = robot_type.replace("mocked_", "")
monkeypatch = request.getfixturevalue("monkeypatch")
monkeypatch.setattr(cv2, "VideoCapture", MockVideoCapture)
# Run test with a real robot. Skip test if robot connection fails.
else:
# `is_robot_available` is defined in `tests/conftest.py`
if not request.getfixturevalue("is_robot_available"):
pytest.skip(f"A {robot_type} robot is not available.")
# The function `is_robot_available` is defined in `tests/conftest.py`
if not request.getfixturevalue("is_robot_available"):
pytest.skip(f"A {robot_type} robot is not available.")
return func(*args, **kwargs)
return wrapper
class MockVideoCapture(cv2.VideoCapture):
image = {
"480x640": np.random.randint(0, 256, size=(480, 640, 3), dtype=np.uint8),
"720x1280": np.random.randint(0, 256, size=(720, 1280, 3), dtype=np.uint8),
}
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._mock_dict = {
cv2.CAP_PROP_FPS: 30,
cv2.CAP_PROP_FRAME_WIDTH: 640,
cv2.CAP_PROP_FRAME_HEIGHT: 480,
}
def isOpened(self): # noqa: N802
return True
def set(self, propId: int, value: float) -> bool: # noqa: N803
self._mock_dict[propId] = value
return True
def get(self, propId: int) -> float: # noqa: N803
value = self._mock_dict[propId]
if value == 0:
if propId == cv2.CAP_PROP_FRAME_HEIGHT:
value = 480
elif propId == cv2.CAP_PROP_FRAME_WIDTH:
value = 640
return value
def read(self):
h = self.get(cv2.CAP_PROP_FRAME_HEIGHT)
w = self.get(cv2.CAP_PROP_FRAME_WIDTH)
ret = True
return ret, self.image[f"{h}x{w}"]