Esempio n. 1
0
#
# You should have received a copy of the GNU General Public License along
# with this program (LICENSE.txt).  If not, see <http://www.gnu.org/licenses/>

import sys
sys.path.append(scriptdir + '..')
from eidolon import ReprType, ImageSceneObject, extendImage
from TestUtils import generateTimeSphereImages

step = 0.1
dim = 50

# create an object and repr with a particular name

images = generateTimeSphereImages(step, dim)
obj = ImageSceneObject('Sphere', [], images)
mgr.addSceneObject(obj)

rep = obj.createRepr(ReprType._imgtimevolume)
mgr.addSceneObjectRepr(rep)

del obj
del rep

mgr.clearScene()  # this should free up existing objects

# attempt to create an object and repr with the same name as the above, this will crash if the repr doesn't choose unique names for materials, textures, etc.

images = generateTimeSphereImages(step, dim)
obj = ImageSceneObject('Sphere', [], images)
mgr.addSceneObject(obj)
Esempio n. 2
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License along
# with this program (LICENSE.txt).  If not, see <http://www.gnu.org/licenses/>

import sys
sys.path.append(scriptdir+'..')
from eidolon import ReprType,ImageSceneObject,extendImage
from TestUtils import generateTimeSphereImages

step=0.1
dim=30
mx=2
my=3
mz=4
fillVal=3.0

images=generateTimeSphereImages(step,dim)
obj=ImageSceneObject('Sphere',[],images)
mgr.addSceneObject(obj)

obj1=extendImage(obj,'ext',mx,my,mz,fillVal)
mgr.addSceneObject(obj1)

rep=obj1.createRepr(ReprType._imgtimestack)
mgr.addSceneObjectRepr(rep)

mgr.setCameraSeeAll()
Esempio n. 3
0
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Eidolon is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program (LICENSE.txt).  If not, see <http://www.gnu.org/licenses/>

from eidolon import ImageSceneObject, generateSphereImageStack, ReprType, delayedcall

images = generateSphereImageStack(50, 50, 50)
obj = ImageSceneObject('Sphere', [], images)
mgr.addSceneObject(obj)

rep = obj.createRepr(ReprType._imgstack)
mgr.addSceneObjectRepr(rep)

mgr.setCameraSeeAll()

d1 = mgr.create2DView()
mgr.callThreadSafe(d1.setImageStackPosition, 25)

d2 = mgr.create2DView()
mgr.callThreadSafe(d2.setImageStackPosition, 25)


# wait for 1 second, remove the second 2d window and then add a third
Esempio n. 4
0
        def _loadFile(filename,
                      name,
                      position=None,
                      rot=None,
                      toffset=None,
                      interval=None,
                      task=None):
            with f:
                filename = Future.get(filename)
                name = name or self.mgr.getUniqueObjName(
                    splitPathExt(filename)[1])

                recfile = os.path.splitext(filename)[0]
                if os.path.exists(recfile + '.rec'):
                    recfile = recfile + '.rec'
                elif os.path.exists(recfile + '.REC'):
                    recfile = recfile + '.REC'
                else:
                    raise IOError("Cannot find rec file '%s.rec'" % recfile)

                geninfo, imginfo = parseParFile(filename)  # read par file
                rec = np.fromfile(recfile, np.uint8)  # read rec file

                #               numorients=geninfo[genInfoFields.maxgrad[2]][0]
                #               numslices=geninfo[genInfoFields.maxloc[2]][0]
                #               numsteps=geninfo[genInfoFields.maxphase[2]][0]

                #               slicenum=imgInfoFields.slicenum[-1]
                #               trigger=imgInfoFields.trigger[-1]

                #               numslices=len(set(i[slicenum] for i in imginfo))
                #               # count the number of times the slice number decreases one slice to the next, this indicates how many times the slice index loops back
                #               numorients=1+sum(1 if imginfo[i][slicenum]>imginfo[i+1][slicenum] else 0 for i in range(len(imginfo)-1))
                #               # count the number of times the trigger time decreases one slice to the next, this indicates when the images transition between volumes
                #               numvols=1+sum(1 if imginfo[i][trigger]>imginfo[i+1][trigger] else 0 for i in range(len(imginfo)-1))/(numorients*numslices)

                #               if len(imginfo)!=(numvols*numorients*numslices*numsteps):
                #                   raise IOError,'Mismatch between stated orient, slice, and step numbers and number of images (%r != %r*%r*%r*%r)'%(len(imginfo),numorients,numslices,numsteps,numvols)

                #               orientsize=len(imginfo)/numorients
                datasize = 0
                objs = []
                rpos = 0
                typemap = {
                }  # maps type ID to dict mapping dynamic ID to SharedImage lists

                for imgi in imginfo:  # sum up the sizes of each image to compare against the actual size of the rec file
                    w, h = imgi[imgInfoFields.reconres[-1]]
                    pixelsize = imgi[imgInfoFields.imgpix[
                        -1]] / 8  # convert from bits to bytes
                    datasize += w * h * pixelsize

                if rec.shape[0] != datasize:
                    raise IOError(
                        'Rec file incorrect size, should be %i but is %i' %
                        (datasize, rec.shape[0]))

                for imgi in imginfo:
                    dynamic = imgi[imgInfoFields.dynnum[-1]]
                    itype = imgi[imgInfoFields.imgtypemr[-1]]
                    dims = imgi[imgInfoFields.reconres[-1]]
                    trigger = imgi[imgInfoFields.trigger[-1]]
                    orientation = imgi[imgInfoFields.sliceori[-1]]
                    spacing = imgi[imgInfoFields.pixspace[-1]]
                    offcenter = imgi[imgInfoFields.imgoff[-1]]
                    angulation = imgi[imgInfoFields.imgang[-1]]
                    pixelsize = imgi[imgInfoFields.imgpix[-1]]
                    reslope = imgi[imgInfoFields.rescalesl[-1]]
                    intercept = imgi[imgInfoFields.rescalein[-1]]

                    if itype not in typemap:
                        typemap[itype] = dict()

                    if dynamic not in typemap[itype]:
                        typemap[itype][dynamic] = []

                    images = typemap[itype][dynamic]

                    dtype = np.dtype('uint' + str(pixelsize))

                    pos, rot = getTransformFromInfo(offcenter,
                                                    angulation, orientation,
                                                    vec3(*spacing),
                                                    vec3(*dims))

                    imgsize = dims[0] * dims[1] * dtype.itemsize
                    arr = rec[rpos:rpos + imgsize].view(dtype).reshape(dims)
                    rpos += imgsize

                    if scalemethod in ('dv', 'DV'):
                        arr = (arr.astype(float) *
                               reslope) + intercept  # DV scaling method

                    simg = SharedImage(recfile, pos, rot, dims, spacing,
                                       trigger)
                    simg.allocateImg('%s_t%i_d%i_img%i' %
                                     (name, itype, dynamic, len(images)))
                    #simg.setArrayImg(arr)
                    simg.setMinMaxValues(arr.min(), arr.max())
                    np.asarray(simg.img)[:, :] = arr

                    images.append(simg)

                for itype in typemap:
                    for dynamic, images in typemap[itype].items():
                        vname = '%s_t%i_d%i' % (name, itype, dynamic)
                        source = {
                            'geninfo': geninfo,
                            'imginfo': imginfo,
                            'filename': filename,
                            'scalemethod': scalemethod,
                            'loadorder': len(objs)
                        }
                        obj = ImageSceneObject(vname, source, images, self)
                        objs.append(obj)


#               for numo in range(numorients):
#                   orientimgs=imginfo[numo*orientsize:(numo+1)*orientsize]
#
#                   for numv in range(numvols):
#                       volsimgs=[img for i,img in enumerate(orientimgs) if i%numvols==numv]
#                       images=[]
#                       for imgi in volsimgs:
#                           vname='%s_o%i_v%i'%(name,numo,numv)
#                           dims=imgi[imgInfoFields.reconres[-1]]
#                           trigger=imgi[imgInfoFields.trigger[-1]]
#                           orientation=imgi[imgInfoFields.sliceori[-1]]
#                           spacing=imgi[imgInfoFields.pixspace[-1]]
#                           offcenter=imgi[imgInfoFields.imgoff[-1]]
#                           angulation=imgi[imgInfoFields.imgang[-1]]
#                           pixelsize=imgi[imgInfoFields.imgpix[-1]]
#
#                           reslope=imgi[imgInfoFields.rescalesl[-1]]
#                           intercept=imgi[imgInfoFields.rescalein[-1]]
#
#                           dtype=np.dtype('uint'+str(pixelsize))
#
#                           pos,rot=self._getTransformFromInfo(offcenter,angulation,orientation,vec3(*spacing),vec3(*dims))
#
#                           imgsize=dims[0]*dims[1]*dtype.itemsize
#                           arr=rec[rpos:rpos+imgsize].view(dtype).reshape(dims)
#                           rpos+=imgsize
#
#                           if scalemethod in ('dv','DV'):
#                               arr=(arr.astype(float)*reslope)+intercept # DV scaling method
#
#                           simg=SharedImage(recfile,pos,rot,dims,spacing,trigger)
#                           simg.allocateImg('%s_img%i'%(vname,len(images)))
#                           simg.setArrayImg(arr)
#                           images.append(simg)
#
#                       obj=ImageSceneObject(vname,{'geninfo':geninfo,'imginfo':imginfo,'filename':filename},images,self)
#                       objs.append(obj)

                assert rpos == rec.shape[0], '%i != %i' % (rpos, rec.shape[0])

                f.setObject(objs)