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* make it work * build doc on every pr * use autosummary * silence gallery * Update docs/Makefile
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.DS_Store | ||
.idea | ||
*.log | ||
sg_execution_times.rst | ||
tmp/ | ||
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*_cache/ | ||
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api | ||
denoisers | ||
auto_examples/index | ||
usage | ||
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.. auto_examples/index |
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""" | ||
Experimental Data denoising | ||
=========================== | ||
This is a example script to test various denoising methods on real-word fMRI data. | ||
Source data should a sequence of 2D or 3D data, the temporal dimension being the last one. | ||
The available denoising methods are "nordic", "mp-pca", "hybrid-pca", "opt-fro", "opt-nuc" and "opt-op". | ||
""" | ||
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from patch_denoise.simulation.phantom import mr_shepp_logan_t2_star, g_factor_map | ||
from patch_denoise.simulation.activations import add_frames | ||
from patch_denoise.simulation.noise import add_temporal_gaussian_noise | ||
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# %% | ||
# Setup the parameters for the simulation and noise | ||
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SHAPE = (64, 64, 64) | ||
N_FRAMES = 200 | ||
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NOISE_LEVEL = 2 |
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"pydata-sphinx-theme", | ||
"numpydoc", | ||
"sphinx_gallery", | ||
"sphinx-argparse", | ||
"sphinx", | ||
] | ||
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