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example_pipeline.py
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example_pipeline.py
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import sys
from ax3_pipeline.pipeline_blocks.compositions import SequentialComposition, ParallelComposition
from ax3_pipeline.pipeline_blocks.features import ApproximateVelocity, ApproximateDistance, TimeDomainSummaryStatistics, \
EnmoSummaryStatistics, ActivityClasses, TotalEnergy, SpectralEntropy
from ax3_pipeline.pipeline_blocks.filters import LowpassButterworthFilter, HighpassButterworthFilter
from ax3_pipeline.pipeline_blocks.misc import EpochGenerator, TrapezoidalIntegrator, VectorMagnitude, \
EuclideanNormMinusOne, Dft1d
from ax3_pipeline.pipeline_blocks.postprocessors import FeatureConcat, NonWeartimeCalculator
if __name__ == "__main__":
timestamps_ms = sys.argv[1]
x = sys.argv[2]
y = sys.argv[3]
z = sys.argv[4]
epoch_gen = EpochGenerator(timestamps_ms=timestamps_ms)
pipeline = SequentialComposition(
LowpassButterworthFilter(),
ParallelComposition(
SequentialComposition(
HighpassButterworthFilter(),
epoch_gen,
ParallelComposition(
SequentialComposition(
TrapezoidalIntegrator(),
VectorMagnitude(),
ParallelComposition(
ApproximateVelocity(),
SequentialComposition(
TrapezoidalIntegrator(cumulative=False),
ApproximateDistance()
)
)
),
TimeDomainSummaryStatistics()
)
),
SequentialComposition(
EuclideanNormMinusOne(),
epoch_gen,
ParallelComposition(
EnmoSummaryStatistics(),
ActivityClasses(),
SequentialComposition(
Dft1d(),
ParallelComposition(
TotalEnergy(),
SpectralEntropy()
)
)
)
)
),
FeatureConcat(epoch_gen.timestamps),
NonWeartimeCalculator()
)
df = pipeline.process(x, y, z)[0]
df.to_csv("test_acc_pipeline.csv")