I have used ara-crop succesfully in the past on ccd micrographs. Using the same procedure to process data from film I am receiving the following error....
cat .ara-crop.crash_report.0
2014-05-21 11:29:19,538 WARNING Failed to load EMAN2 module
2014-05-21 11:29:19,573 INFO Program: arachnid.util.crop
2014-05-21 11:29:19,573 INFO Version: 0.1.9
2014-05-21 11:29:19,573 INFO PID: 32449
2014-05-21 11:29:19,573 INFO Created: 1400686157
2014-05-21 11:29:19,573 INFO Multi-threading with OpenMP - enabled
2014-05-21 11:29:19,574 INFO Processing 651 movie micrographs
2014-05-21 11:29:19,575 INFO Skipping 0 files - restarting from the
beginning - --force option specified
2014-05-21 11:29:19,577 INFO Processing 651 files
2014-05-21 11:29:19,577 INFO Particle diameter (in pixels): 290
2014-05-21 11:29:19,577 INFO Mask diameter (in pixels): 348
2014-05-21 11:29:19,577 INFO Window size: 406
2014-05-21 11:29:19,577 INFO High pass filter: 0.002463
2014-05-21 11:29:19,577 INFO Enhancement to windows:
2014-05-21 11:29:19,577 INFO - Ramp filter
2014-05-21 11:29:19,577 INFO - Dedust: 5.000000
2014-05-21 11:29:19,578 INFO - Histogram matching
2014-05-21 11:29:19,578 INFO - Normalize (xmipp style)
2014-05-21 11:29:19,578 INFO Extracting windows from micrograph stacks
of movie frames
2014-05-21 11:29:19,599 INFO Using selection file
local/screen/select.dat - found 448 micrographs of 651
2014-05-21 11:29:19,600 WARNING Found cached noise file:
cluster/win/noise_win_000000.dat - delete if you want to regenerate
2014-05-21 11:29:25,924 ERROR client-processing - error
Traceback (most recent call last):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/parallel/mpi_utility.py",
line 385, in mpi_reduce
for index, res in process_tasks.process_mp(process, vals, **extra):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/parallel/process_tasks.py",
line 62, in process_mp
yield i, process(val, **extra)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/util/crop.py",
line 253, in process
for j, mic in enumerate(iter_micrographs(filename, indexes, **extra)):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/util/crop.py",
line 346, in iter_micrographs
mic = ndimage_filter.gaussian_highpass(mic, sigma/float(window), True)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/image/ndimage_filter.py",
line 466, in gaussian_highpass
img = filter_image(img, gaussian_highpass_kernel(img.shape,
high_cutoff, img.dtype), pad)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/image/ndimage_filter.py",
line 438, in gaussian_highpass_kernel
kernel[:, :] = 1.0-numpy.exp(-irad*omega)
FloatingPointError: underflow encountered in exp
2014-05-21 11:29:26,001 ERROR ***Unexpected error occurred:
FloatingPointError: underflow encountered in exp
See .ara-crop.crash_report for more details
2014-05-21 11:29:26,001 ERROR Unexpected error occurred
Traceback (most recent call last):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/app/program.py",
line 314, in launch_program
main_template.main(args, main_module, **param)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/app/file_processor.py",
line 228, in main
for index, filename in mpi_utility.mpi_reduce(process, files,
init_process=init_process, **extra):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/parallel/mpi_utility.py",
line 385, in mpi_reduce
for index, res in process_tasks.process_mp(process, vals, **extra):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/parallel/process_tasks.py",
line 62, in process_mp
yield i, process(val, **extra)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/util/crop.py",
line 253, in process
for j, mic in enumerate(iter_micrographs(filename, indexes, **extra)):
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/util/crop.py",
line 346, in iter_micrographs
mic = ndimage_filter.gaussian_highpass(mic, sigma/float(window), True)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/image/ndimage_filter.py",
line 466, in gaussian_highpass
img = filter_image(img, gaussian_highpass_kernel(img.shape,
high_cutoff, img.dtype), pad)
File
"/usr8/repository/miniconda/lib/python2.7/site-packages/arachnid/core/image/ndimage_filter.py",
line 438, in gaussian_highpass_kernel
kernel[:, :] = 1.0-numpy.exp(-irad*omega)
FloatingPointError: underflow encountered in exp