""" Tests meant to be used locally and launched manually. Example usage: ```bash 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 CAMERA_INDEX = 2 # Maximum absolute difference between two consecutive images recored by a camera. # This value differs with respect to the camera. MAX_PIXEL_DIFFERENCE = 25 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) @require_robot def test_camera(request, robot_type): """Test assumes that `camera.read()` returns the same image when called multiple times in a row. So the environment should not change (you shouldnt be in front of the camera) and the camera should not be moving. Warning: The tests worked for a macbookpro camera, but I am getting assertion error (`np.allclose(color_image, async_color_image)`) for my iphone camera and my LG monitor camera. """ # TODO(rcadene): measure fps in nightly? # TODO(rcadene): test logs # TODO(rcadene): add compatibility with other camera APIs # Test instantiating camera = OpenCVCamera(CAMERA_INDEX) # Test reading, async reading, disconnecting before connecting raises an error with pytest.raises(RobotDeviceNotConnectedError): camera.read() with pytest.raises(RobotDeviceNotConnectedError): camera.async_read() with pytest.raises(RobotDeviceNotConnectedError): camera.disconnect() # Test deleting the object without connecting first del camera # Test connecting camera = OpenCVCamera(CAMERA_INDEX) camera.connect() assert camera.is_connected assert camera.fps is not None assert camera.width is not None assert camera.height is not None # Test connecting twice raises an error with pytest.raises(RobotDeviceAlreadyConnectedError): camera.connect() # Test reading from the camera color_image = camera.read() assert isinstance(color_image, np.ndarray) assert color_image.ndim == 3 h, w, c = color_image.shape assert c == 3 assert w > h # Test read and async_read outputs similar images # ...warming up as the first frames can be black for _ in range(30): camera.read() color_image = camera.read() async_color_image = camera.async_read() print( "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) # Test disconnecting camera.disconnect() assert camera.camera is None assert camera.thread is None # Test disconnecting with `__del__` camera = OpenCVCamera(CAMERA_INDEX) camera.connect() del camera # Test acquiring a bgr image camera = OpenCVCamera(CAMERA_INDEX, color_mode="bgr") camera.connect() assert camera.color_mode == "bgr" bgr_color_image = camera.read() assert np.allclose(color_image, bgr_color_image[:, :, [2, 1, 0]], rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE) del camera # 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() assert camera.fps == 30 assert camera.width == 1280 assert camera.height == 720 color_image = camera.read() h, w, c = color_image.shape assert h == 720 assert w == 1280 assert c == 3 del camera # Test not supported width and height raise an error camera = OpenCVCamera(CAMERA_INDEX, fps=30, width=0, height=0) with pytest.raises(OSError): camera.connect() del camera @pytest.mark.parametrize("robot_type", available_robots) @require_robot def test_save_images_from_cameras(tmpdir, request, robot_type): save_images_from_cameras(tmpdir, record_time_s=1)