gmca et mr_filter

pycs/sparsity/sparse2d/mr_filter.py

@@ -0,0 +1,68 @@
+#  @file mr_filter.py
+#
+#  WAVELET FILTERING ROUTINE
+#
+#  Functions for image denoising using mr_filter c++ binary
+#
+#  @author Samuel Farrens
+#  @version 1.0
+#  @date 2015
+#
+
+import numpy as np
+from os import remove
+from subprocess import check_call
+from subprocess import call
+from datetime import datetime
+from astropy.io import fits
+import shlex
+##
+#  Function that calls mr_filter to perform a wavelet filtering on the
+#  input data.
+#
+#  @param[in] data: 2D Input array.
+#  @param[in] opt: List of additonal mr_transform options.
+#  @param[in] path: Path for output files.
+#  @param[in] remove_files: Option to remove output files.
+#
+#  @return Results of wavelet transform (and mr file name).
+#
+# %load_ext autoreload
+# %autoreload 2
+def mr_filter(data, opt=None, path='./', remove_files=True):
+
+    # Create a unique string using the current date and time.
+    # print('mr_filter ', opt)
+    unique_string = datetime.now().strftime('%Y.%m.%d_%H.%M.%S')
+    result=0
+    # Set the ouput file names.
+    file_name = path + 'mr_temp_' + unique_string
+    file_fits = file_name + '.fits'
+    file_out = file_name + '_out.fits'
+
+    # Write the input data to a fits file.
+    fits.writeto(file_fits, data)
+
+    cmd = 'mr_filter '
+
+    if isinstance(opt, type(None)):
+        optF=' '
+    else:
+        optF=opt
+    cmd = cmd + optF + ' ' + file_fits + ' '  + file_out
+    # print 'CMD = ', cmd
+    args = shlex.split(cmd)
+    # print('args ', args)
+
+    call(args)
+
+    # Retrieve wavelet filtered data.
+    result = fits.getdata(file_out)
+
+    # Return the mr_transform results (and the output file names).
+    if remove_files:
+        remove(file_fits)
+        remove(file_out)
+        return result
+    else:
+        return result

pycs/sparsity/sparse2d/mr_gmca.py

@@ -0,0 +1,90 @@
+#  @file mr_gmca.py
+#
+#  GMCA WRAPPER ROUTINE
+#
+#  Functions for blind source separation using mr_gmca c++ binary
+#
+#  @author Jean-Luc Starck
+#  @version 1.0
+#  @date 2015
+#
+
+import numpy as np
+from os import remove
+from subprocess import check_call
+from subprocess import call
+from datetime import datetime
+from astropy.io import fits
+import shlex
+from pycs.misc.cosmostat_init import *
+from pycs.misc.cosmostat_init import writefits
+
+##
+#  Function that calls mr_gmca to perform blind source separation on the
+#  input data.
+#
+#  @param[in] data: 2D Input array.
+#  @param[in] opt: List of additonal mr_gmca options.
+#  @param[in] path: Path for output files.
+#  @param[in] remove_files: Option to remove output files.
+#
+#  @return Results of wavelet transform (and mr file name).
+#
+# %load_ext autoreload
+# %autoreload 2
+def mr_gmca(data, opt=None, path='./', remove_files=True, verbose=False, FileOut=None):
+
+    # Create a unique string using the current date and time.
+    # print('mr_filter ', opt)
+    prog="mr_gmca"
+    unique_string = datetime.now().strftime('%Y.%m.%d_%H.%M.%S')
+    result=0
+    # Set the ouput file names.
+    file_name = path + 'mr_temp_' + unique_string
+    file_fits = file_name + '.fits'
+    if FileOut is not None:
+        file_out = FileOut
+    else:
+        file_out = file_name + '_out'
+
+    # Write the input data to a fits file.
+    writefits(file_fits, data)
+
+    # print("PROG: ", prog)
+    cmd = prog
+
+    if isinstance(opt, type(None)):
+        optF=' '
+    else:
+        optF= opt
+    if verbose:
+        optF = optF + " -v "
+
+    cmd = cmd + " " + optF + " "  + file_fits + " "   + file_out
+    if verbose:
+        print ('CMD = ', cmd)
+
+    args = shlex.split(cmd)
+    # print('args ', args)
+    call(args)
+
+    # Retrieve wavelet filtered data.
+    file_out_source = file_out + ".fits"
+    file_out_mat = path + "xx_EstMixmat.fits"
+    file_out_invmat = path + "xx_InvMixingMat.fits"
+
+    result = readfits(file_out_source)
+    est_mixmat = readfits(file_out_mat)
+    est_invmixmat = readfits (file_out_invmat)
+
+
+    # Return the mr_transform results (and the output file names).
+    if remove_files:
+        remove(file_fits)
+        remove(file_out_source)
+        remove(file_out_mat)
+        remove(file_out_invmat)
+
+        return result,est_mixmat,est_invmixmat
+    else:
+        return result,est_mixmat,est_invmixmat