added pickle file for training with lidar range data to output options
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@@ -8,14 +8,17 @@ from matplotlib.colors import Colormap
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from matplotlib import colormaps
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def load_dataset(bag_file_path: Path, pointcloud_topic: str = "/ouster/points") -> Dataset:
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def load_dataset(
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bag_file_path: Path, pointcloud_topic: str = "/ouster/points"
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) -> Dataset:
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return Dataset.from_file(bag_file_path, topic=pointcloud_topic)
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def calculate_average_frame_rate(dataset: Dataset):
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timestamps = dataset.timestamps
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time_deltas = [timestamps[i + 1] - timestamps[i] for i in range(len(timestamps) - 1)]
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time_deltas = [
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timestamps[i + 1] - timestamps[i] for i in range(len(timestamps) - 1)
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]
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average_delta = sum(time_deltas, timedelta()) / len(time_deltas)
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average_frame_rate = 1 / average_delta.total_seconds()
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return average_frame_rate
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@@ -38,39 +41,52 @@ def existing_folder(path_string: str) -> Path:
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raise ArgumentTypeError(f"{path} is not a valid folder!")
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return path
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def existing_path(path_string: str) -> Path:
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path = Path(path_string)
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if not path.exists():
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raise ArgumentTypeError(f"{path} does not exist!")
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return path
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def positive_int(number_str: str) -> int:
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number_val = int(number_str)
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if number_val < 0:
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raise ArgumentTypeError(f"{number_val} is not a positive integer!")
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return number_val
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def angle(angle_str: str) -> float:
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angle_val = float(angle_str)
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if angle_val < 0 or angle_val >= 360:
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raise ArgumentTypeError(f"{angle_val} is not a valid angle! Needs to be in [0, 360)")
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raise ArgumentTypeError(
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f"{angle_val} is not a valid angle! Needs to be in [0, 360)"
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)
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return angle_val
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def angle_width(angle_str: str) -> float:
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angle_val = float(angle_str)
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if angle_val < 0 or angle_val > 360:
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raise ArgumentTypeError(f"{angle_val} is not a valid angle width! Needs to be in [0, 360]")
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raise ArgumentTypeError(
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f"{angle_val} is not a valid angle width! Needs to be in [0, 360]"
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)
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return angle_val
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def get_colormap_with_special_missing_color(
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colormap_name: str, missing_data_color: str = "black", reverse: bool = False
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) -> Colormap:
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colormap = colormaps[colormap_name] if not reverse else colormaps[f"{colormap_name}_r"]
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colormap = (
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colormaps[colormap_name] if not reverse else colormaps[f"{colormap_name}_r"]
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)
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colormap.set_bad(missing_data_color)
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return colormap
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def create_video_from_images(input_images_pattern: str, output_file: Path, frame_rate: int) -> None:
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def create_video_from_images(
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input_images_pattern: str, output_file: Path, frame_rate: int
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) -> None:
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# Construct the ffmpeg command
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command = [
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"ffmpeg",
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