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David Rotermund 2023-07-11 01:59:50 +02:00 committed by GitHub
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@ -134,13 +134,11 @@ For installing torch under Windows see here: https://pytorch.org/get-started/loc
start_position: int = 0, # number of frames cut away from the beginning of the time series start_position: int = 0, # number of frames cut away from the beginning of the time series
start_position_coefficients: int = 100, # number of frames ignored for calculating scaling factors and such start_position_coefficients: int = 100, # number of frames ignored for calculating scaling factors and such
fs: float = 100.0, # sampling rate in Hz fs: float = 100.0, # sampling rate in Hz
use_regression: bool | None = None, use_regression: bool | None = None, # controls the "regression"; None is automatic mode. Needs all four time series!
# Heartbeat remove_heartbeat: bool = True, # i.e. use SVD=True or Classic=False
remove_heartbeat: bool = True, # i.e. use SVD
low_frequency: float = 5, # Hz Butter Bandpass Heartbeat low_frequency: float = 5, # Hz Butter Bandpass Heartbeat
high_frequency: float = 15, # Hz Butter Bandpass Heartbeat high_frequency: float = 15, # Hz Butter Bandpass Heartbeat
threshold: float | None = 0.5, # For the mask threshold: float | None = 0.5, # threshold for the mask; None is no mask. valid values are between 0.0 and 1.0.
# Extra exposed parameters:
align: bool = True, # align the time series after loading them align: bool = True, # align the time series after loading them
iterations: int = 1, # SVD iterations: Do not touch! Keep at 1 iterations: int = 1, # SVD iterations: Do not touch! Keep at 1
lowrank_method: bool = True, # saves computational time if we know that we don't need all SVD values lowrank_method: bool = True, # saves computational time if we know that we don't need all SVD values
@ -148,7 +146,7 @@ For installing torch under Windows see here: https://pytorch.org/get-started/loc
remove_heartbeat_mean: bool = False, # allows us to remove a offset from the SVD heart signals (don't need that because of a bandpass filter) remove_heartbeat_mean: bool = False, # allows us to remove a offset from the SVD heart signals (don't need that because of a bandpass filter)
remove_heartbeat_linear: bool = False, # allows us to remove a linear treand from the SVD heart signals (don't need that because of a bandpass filter) remove_heartbeat_linear: bool = False, # allows us to remove a linear treand from the SVD heart signals (don't need that because of a bandpass filter)
bin_size: int = 4, # size of the kernel of the first 2d average pooling layer bin_size: int = 4, # size of the kernel of the first 2d average pooling layer
do_frame_shift: bool = True, do_frame_shift: bool = True, # Do the frame shift or not.
half_width_frequency_window: float = 3.0, # Hz (on side ) measure_heartbeat_frequency half_width_frequency_window: float = 3.0, # Hz (on side ) measure_heartbeat_frequency
mmap_mode: bool = True, # controls the np.load mmap_mode: bool = True, # controls the np.load
initital_mask_name: str | None = None, # allows to store the map into a file (give filename here or None if you don't want to save it) initital_mask_name: str | None = None, # allows to store the map into a file (give filename here or None if you don't want to save it)