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stefanloock / pyshearlab

pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.
GNU General Public License v3.0
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relatively small size images can't create shearlets #8

Open dsweber2 opened 5 years ago

dsweber2 commented 5 years ago

Running the command pyshearlab.SLgetShearletSystem2D(0,100,100,3), I get the following error:

Warning: The specified Shearlet system was not available for data of size 100x100. Filters were automatically set to configuration 4(see SLcheckFilterSizes). Traceback (most recent call last): File "", line 1, in File "/home/dsweber/allHail/projects/ShatteringTransform/tmp.py", line 12, in pyshearlab.SLgetShearletSystem2D(0,100,100,3) File "/fasterHome/anaconda3/envs/kymat/lib/python3.7/site-packages/pyshearlab/pyShearLab2D.py", line 165, in SLgetShearletSystem2D preparedFilters = SLprepareFilters2D(rows,cols,nScales,shearLevels, directionalFilter,quadratureMirrorFilter) File "/fasterHome/anaconda3/envs/kymat/lib/python3.7/site-packages/pyshearlab/pySLUtilities.py", line 768, in SLprepareFilters2D wedge1, bandpass1, lowpass1 = SLgetWedgeBandpassAndLowpassFilters2D(rows,cols,shearLevels,directionalFilter,scalingFilter,waveletFilter,scalingFilter2) File "/fasterHome/anaconda3/envs/kymat/lib/python3.7/site-packages/pyshearlab/pySLUtilities.py", line 564, in SLgetWedgeBandpassAndLowpassFilters2D lowpassHelp = SLpadArray(filterLow2[len(filterLow2)-max(shearLevel-1,0)-1], np.asarray(wedgeUpsampled.shape)) File "/fasterHome/anaconda3/envs/kymat/lib/python3.7/site-packages/pyshearlab/pySLUtilities.py", line 660, in SLpadArray padSizes[1]:padSizes[1]+currSize[1]+idxModifier[1]] = array ValueError: could not broadcast input array from shape (1,6) into shape (1,7)

It also happens, with different lengths, with smaller numbers (e.g. 28,28)