forked from tangger/lerobot
rename color to color_mode
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@@ -71,7 +71,7 @@ def save_images_from_cameras(
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camera = OpenCVCamera(cam_idx, fps=fps, width=width, height=height)
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camera.connect()
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print(
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f"OpenCVCamera({camera.camera_index}, fps={camera.fps}, width={camera.width}, height={camera.height}, color={camera.color})"
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f"OpenCVCamera({camera.camera_index}, fps={camera.fps}, width={camera.width}, height={camera.height}, color_mode={camera.color_mode})"
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)
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cameras.append(camera)
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@@ -134,11 +134,13 @@ class OpenCVCameraConfig:
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fps: int | None = None
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width: int | None = None
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height: int | None = None
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color: str = "rgb"
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color_mode: str = "rgb"
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def __post_init__(self):
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if self.color not in ["rgb", "bgr"]:
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raise ValueError(f"Expected color values are 'rgb' or 'bgr', but {self.color} is provided.")
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if self.color_mode not in ["rgb", "bgr"]:
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raise ValueError(
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f"Expected color_mode values are 'rgb' or 'bgr', but {self.color_mode} is provided."
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)
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class OpenCVCamera:
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@@ -155,7 +157,7 @@ class OpenCVCamera:
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python lerobot/common/robot_devices/cameras/opencv.py --images-dir outputs/images_from_opencv_cameras
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```
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When an OpenCVCamera is instantiated, if no specific config is provided, the default fps, width, height and color
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When an OpenCVCamera is instantiated, if no specific config is provided, the default fps, width, height and color_mode
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of the given camera will be used.
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Example of usage of the class:
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@@ -167,7 +169,7 @@ class OpenCVCamera:
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camera.disconnect()
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```
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Example of changing default fps, width, height and color:
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Example of changing default fps, width, height and color_mode:
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```python
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camera = OpenCVCamera(0, fps=30, width=1280, height=720)
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camera = connect() # applies the settings, might error out if these settings are not compatible with the camera
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@@ -175,7 +177,7 @@ class OpenCVCamera:
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camera = OpenCVCamera(0, fps=90, width=640, height=480)
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camera = connect()
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camera = OpenCVCamera(0, fps=90, width=640, height=480, color="bgr")
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camera = OpenCVCamera(0, fps=90, width=640, height=480, color_mode="bgr")
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camera = connect()
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```
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"""
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@@ -190,7 +192,7 @@ class OpenCVCamera:
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self.fps = config.fps
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self.width = config.width
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self.height = config.height
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self.color = config.color
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self.color_mode = config.color_mode
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if not isinstance(self.camera_index, int):
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raise ValueError(
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@@ -262,7 +264,7 @@ class OpenCVCamera:
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self.is_connected = True
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def read(self, temporary_color: str | None = None) -> np.ndarray:
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def read(self, temporary_color_mode: str | None = None) -> np.ndarray:
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"""Read a frame from the camera returned in the format (height, width, channels)
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(e.g. (640, 480, 3)), contrarily to the pytorch format which is channel first.
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@@ -280,15 +282,17 @@ class OpenCVCamera:
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if not ret:
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raise OSError(f"Can't capture color image from camera {self.camera_index}.")
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requested_color = self.color if temporary_color is None else temporary_color
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requested_color_mode = self.color_mode if temporary_color_mode is None else temporary_color_mode
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if requested_color not in ["rgb", "bgr"]:
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raise ValueError(f"Expected color values are 'rgb' or 'bgr', but {requested_color} is provided.")
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if requested_color_mode not in ["rgb", "bgr"]:
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raise ValueError(
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f"Expected color values are 'rgb' or 'bgr', but {requested_color_mode} is provided."
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)
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# OpenCV uses BGR format as default (blue, green red) for all operations, including displaying images.
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# However, Deep Learning framework such as LeRobot uses RGB format as default to train neural networks,
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# so we convert the image color from BGR to RGB.
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if requested_color == "rgb":
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if requested_color_mode == "rgb":
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color_image = cv2.cvtColor(color_image, cv2.COLOR_BGR2RGB)
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h, w, _ = color_image.shape
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@@ -84,9 +84,9 @@ def test_camera(request):
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del camera
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# Test acquiring a bgr image
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camera = OpenCVCamera(CAMERA_INDEX, color="bgr")
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camera = OpenCVCamera(CAMERA_INDEX, color_mode="bgr")
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camera.connect()
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assert camera.color == "bgr"
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assert camera.color_mode == "bgr"
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bgr_color_image = camera.read()
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assert np.allclose(color_image, bgr_color_image[:, :, [2, 1, 0]], rtol=1e-5, atol=MAX_PIXEL_DIFFERENCE)
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del camera
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