forked from tangger/lerobot
refactor(cameras): improvements realsense cam v0.1
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@@ -1,101 +0,0 @@
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from functools import cache
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import numpy as np
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CAP_V4L2 = 200
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CAP_DSHOW = 700
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CAP_AVFOUNDATION = 1200
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CAP_ANY = -1
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CAP_PROP_FPS = 5
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CAP_PROP_FRAME_WIDTH = 3
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CAP_PROP_FRAME_HEIGHT = 4
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COLOR_RGB2BGR = 4
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COLOR_BGR2RGB = 4
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ROTATE_90_COUNTERCLOCKWISE = 2
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ROTATE_90_CLOCKWISE = 0
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ROTATE_180 = 1
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@cache
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def _generate_image(width: int, height: int):
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return np.random.randint(0, 256, size=(height, width, 3), dtype=np.uint8)
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def cvtColor(color_image, color_conversion): # noqa: N802
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if color_conversion in [COLOR_RGB2BGR, COLOR_BGR2RGB]:
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return color_image[:, :, [2, 1, 0]]
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else:
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raise NotImplementedError(color_conversion)
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def rotate(color_image, rotation):
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if rotation is None:
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return color_image
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elif rotation == ROTATE_90_CLOCKWISE:
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return np.rot90(color_image, k=1)
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elif rotation == ROTATE_180:
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return np.rot90(color_image, k=2)
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elif rotation == ROTATE_90_COUNTERCLOCKWISE:
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return np.rot90(color_image, k=3)
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else:
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raise NotImplementedError(rotation)
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class VideoCapture:
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def __init__(self, *args, **kwargs):
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self._mock_dict = {
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CAP_PROP_FPS: 30,
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CAP_PROP_FRAME_WIDTH: 640,
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CAP_PROP_FRAME_HEIGHT: 480,
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}
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self._is_opened = True
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def isOpened(self): # noqa: N802
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return self._is_opened
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def set(self, propId: int, value: float) -> bool: # noqa: N803
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if not self._is_opened:
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raise RuntimeError("Camera is not opened")
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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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if not self._is_opened:
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raise RuntimeError("Camera is not opened")
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value = self._mock_dict[propId]
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if value == 0:
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if propId == CAP_PROP_FRAME_HEIGHT:
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value = 480
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elif propId == 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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if not self._is_opened:
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raise RuntimeError("Camera is not opened")
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h = self.get(CAP_PROP_FRAME_HEIGHT)
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w = self.get(CAP_PROP_FRAME_WIDTH)
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ret = True
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return ret, _generate_image(width=w, height=h)
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def release(self):
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self._is_opened = False
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def __del__(self):
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if self._is_opened:
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self.release()
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