def main():
imp = IJ.getFilePath("Select DCIMG file")
if not imp:
return
root, ext = os.path.splitext(imp)
if ext.lower() != '.dcimg':
cFrame = PlugInFrame('ERR DLG')
MessageDialog(cFrame, 'ERROR', 'Expected extension .dcimg')
return
#Lets start
fID = open(imp, 'rb')
hdr_bytes = read_header_bytes(fID)
hdr = parse_header_bytes(fID, hdr_bytes)
metadataStr = beginMetadata()
for key, value in hdr.iteritems():
metadataStr += addMetadataEntry(key, str(value))
metadataStr += endMetadata()
metadataDlg = HTMLDialog("DCIMG metadata", metadataStr, 0)
size = metadataDlg.getSize()
if size.width < 300:
size.width = 300
if size.height < 500:
size.height = 500
metadataDlg.setSize(size)
finfo = FileInfo()
finfo.fileName = imp
#finfo.width = hdr['xsize_req']
finfo.width = hdr['xsize']
finfo.height = hdr['ysize']
finfo.nImages = hdr['nframes']
finfo.offset = 232
finfo.fileType = hdr['bitdepth'] / 8 - 1 #Ugh
finfo.intelByteOrder = 1
#finfo.gapBetweenImages = int(hdr['bytes_per_img']*(1-float(hdr['xsize_req'])/float(hdr['xsize'])))
finfo.gapBetweenImages = 0
finfo.fileFormat = 1
finfo.samplesPerPixel = 1
finfo.displayRanges = None
finfo.lutSize = 0
finfo.whiteIsZero = 0
vs = VirtualStack()
finfo.virtualStack = vs
FileInfoVirtualStack(finfo)
bfvs = BFVirtualStack(filepath, cs, False, False, False)
stack = ImageStack(width, height)
for index in xrange(slice_index, slice_index + num_slices):
stack.addSlice(bfvs.getProcessor(index))
title = os.path.split(filepath)[1] + " from slice %i" % slice_index
imp = ImagePlus(title, stack)
imp.show()
finally:
cs.close()
# Approach 3: using low-level ImageJ libraries
from ij.io import FileInfo, FileOpener
fi = FileInfo()
fi.width = width
fi.height = height
fi.offset = headerSize + slice_offset
# ASSUMES images aren't ARGB, which would also have 32 as bit depth
# (There are other types: see FileInfo javadoc)
fi.fileType = {
8: FileInfo.GRAY8,
16: FileInfo.GRAY16_UNSIGNED,
24: FileInfo.RGB,
32: FileInfo.GRAY32_UNSIGNED
}[bitDepth]
fi.samplesPerPixel = 1
fi.nImages = num_slices
directory, filename = os.path.split(filepath)
fi.directory = directory
fi.fileName = filename
def open_Octopus_file():
# set up a file info structure
fi = FileInfo()
fi.fileFormat = fi.RAW
fi.fileType=FileInfo.GRAY16_UNSIGNED
fi.intelByteOrder = True
fi.nImages = 1
op = OpenDialog("Choose Octopus .dth file...", "")
if not op.getDirectory(): return False
# get the file extension
file_extension = re.search('(\.[a-z][a-z][a-z])', op.getFileName()).group(1)
if file_extension != ".dth":
dlg = GenericDialog("Warning")
dlg.addMessage("Please select an octopus .dth file")
dlg.showDialog()
return False
# now strip the filename into a stem and index
file_parse = re.match('([a-zA-z0-9_]*_)([0-9]+)\.dth', op.getFileName())
file_stem = file_parse.group(1)
file_index = int( file_parse.group(2) )
# ok now we need to parse the header info
header = get_Octopus_header(op.getDirectory(), file_stem, file_index)
fi.nImages = len(header['N'])
# check to see whether we have a bit depth, if not, assume 16-bit
if 'Bit_Depth' in header:
print header['Bit_Depth']
bit_depth = int(header['Bit_Depth'][0])
if bit_depth == 8: fi.fileType = FileInfo.GRAY8
else:
bit_depth = 16
# will assume that all files have the same size
fi.width = int( header['W'][0] )
fi.height = int( header['H'][0] )
file_timestamp = strftime("%a, %d %b %Y %H:%M:%S", gmtime(float(header['Time'][0])) )
# make a new imagestack to store the data
stack = ImageStack(fi.width, fi.height)
# finally, we need to make a list of files to import as sometimes we have
# non contiguous file numbers
try:
files = os.listdir(op.getDirectory())
except IOError:
raise IOError( "No files exist in directory: " + op.getDirectory())
filenums = []
for f in files:
# strip off the stem, and get the number
targetfile = re.match(file_stem+'([0-9]+)\.dth', f)
# only take thosefiles which match the formatting requirements
if targetfile:
filenums.append( int(targetfile.group(1)) )
# sort the file numbers
sorted_filenums = sorted(filenums)
# make a file stats string
file_stats_str = file_stem + '\n' + str(fi.width) +'x' + str(fi.height) + 'x' + \
str(len(sorted_filenums)) +' ('+str(bit_depth)+'-bit)\n' + file_timestamp
# now open a dialog to let the user set options
dlg = GenericDialog("Load Octopus Stream (v"+__version__+")")
dlg.addMessage(file_stats_str)
dlg.addStringField("Title: ", file_stem)
dlg.addNumericField("Start: ", 1, 0);
dlg.addNumericField("End: ", len(sorted_filenums), 0)
dlg.addCheckbox("Open headers", True)
dlg.addCheckbox("Contiguous stream?", False)
dlg.addCheckbox("8-bit unsigned", bit_depth==8)
dlg.showDialog()
# if we cancel the dialog, exit here
if dlg.wasCanceled():
return
# set some params
file_title = dlg.getNextString()
file_start = dlg.getNextNumber()
file_end = dlg.getNextNumber()
DISPLAY_HEADER = bool( dlg.getNextBoolean() )
# check the ranges
if file_start > file_end:
file_start, file_end = file_end, file_start
if file_start < 1:
file_start = 1
if file_end > len(sorted_filenums):
file_end = len(sorted_filenums)
# now set these to the actual file numbers in the stream
file_start = sorted_filenums[int(file_start)-1]
file_end = sorted_filenums[int(file_end)-1]
files_to_open = [n for n in sorted_filenums if n>=file_start and n<=file_end]
# if we've got too many, truncate the list
if (len(files_to_open) * fi.nImages * fi.width * fi.height) > (MAX_FRAMES_TO_IMPORT*512*512):
dlg = GenericDialog("Warning")
dlg.addMessage("This may use a lot of memory. Continue?")
dlg.showDialog()
if dlg.wasCanceled(): return False
IJ.log( "Opening file: " + op.getDirectory() + op.getFileName() )
IJ.log( file_stats_str + "\nFile range: " + str(files_to_open[0]) + \
"-" + str(files_to_open[-1]) +"\n" )
# make a results table for the metadata
# NOTE: horrible looping at the moment, but works
if DISPLAY_HEADER:
rt = ResultsTable()
# ok now we can put the files together into the stack
for i in files_to_open:
# open the original .dat file and get the stack
fi.fileName = get_Octopus_filename( op.getDirectory(), file_stem, i)
if os.path.isfile( fi.fileName ):
fo = FileOpener(fi)
imp = fo.open(False).getStack()
# put the slices into the stack
for im_slice in xrange( imp.getSize() ):
ip = imp.getProcessor( im_slice+1 )
if bit_depth == 8:
bi = ip.getBufferedImage()
else:
bi = ip.get16BitBufferedImage()
stack.addSlice( file_title, ip )
if DISPLAY_HEADER:
header = get_Octopus_header(op.getDirectory(), file_stem, i)
for n in xrange(len(header['N'])):
rt.incrementCounter()
for k in header.keys():
rt.addValue(k, parse_header( header[k][n] ) )
else:
break
# done!
output = ImagePlus('Octopus ('+file_stem+')', stack)
output.show()
if DISPLAY_HEADER:
rt.show("Octopus header metadata")
return True
metadataStr += addMetadataEntry('fileType', str(fileType))
metadataStr += addMetadataEntry('gapBetweenImages', str(gap+64))
if(metadataInconsistency > 0):
metadataStr += addMetadataEntry('Inconsistent METADATA', str(metadataInconsistency))
metadataStr += endMetadata()
metadataDlg = HTMLDialog("HIS parameters", metadataStr, 0)
size = metadataDlg.getSize()
if size.width < 300:
size.width = 300
if size.height < 300:
size.height = 300
metadataDlg.setSize(size)
finfo = FileInfo()
finfo.fileName = imp
finfo.width = width
finfo.height = height
finfo.nImages = frames
finfo.offset = offset+64
finfo.fileType = fileType-1
finfo.intelByteOrder = 1
finfo.gapBetweenImages = gap+64
finfo.fileFormat = 1
finfo.samplesPerPixel = 1
finfo.displayRanges = None
finfo.lutSize = 0
finfo.whiteIsZero = 0
vs = VirtualStack()
finfo.virtualStack = vs
FileInfoVirtualStack(finfo)
from net.imglib2.img.array import ArrayImgs from net.imglib2 import KDTree, RealPoint, Cursor, RandomAccessible from net.imglib2.type.numeric.integer import UnsignedByteType from net.imglib2.neighborsearch import NearestNeighborSearchOnKDTree from net.imglib2.util import Intervals from fiji.scripting import Weaver from java.util import ArrayList from net.imglib2.img import Img # Load 128x128x128 binary mask # with zero for background and 1 for the mask fi = FileInfo() fi.offset = 1024 # header size in bytes fi.width = 128 fi.height = 128 fi.nImages = 128 baseDir = "/home/albert/lab/scripts/data/cim.mcgill.ca-shape-benchmark/" bird = IL.wrap(Raw.open(baseDir + "/birdsIm/b21.im", fi)) airplane = IL.wrap(Raw.open(baseDir + "/airplanesIm/b14.im", fi)) # Rotate bird # Starts with posterior view # Rotate 180 degrees around Y axis # Set to dorsal up: 180 degrees birdY90 = Views.rotate(bird, 2, 0) # 90 birdY180 = Views.rotate(birdY90, 2, 0) # 90 again: 180 c1 = Views.iterable(birdY180).cursor()