def get_image_filter_spider(request):
"""
Function to get the computing image with a spider filter applied
"""
pars={}
imagePath = request.GET.get('image', None)
dim = request.GET.get('dim', None)
filterType = int(request.GET.get('filterType', None))
pars["filterType"] = filterType
pars["filterMode"] = int(request.GET.get('filterMode', None))
pars["usePadding"] = request.GET.get('usePadding', None)
pars["op"]="FQ"
# Copy image to filter to Tmp project folder
outputName = os.path.join("Tmp", "filtered_particle")
outputPath = outputName + ".spi"
outputLoc = (1, outputPath)
ih = ImageHandler()
ih.convert(xmippToLocation(imagePath), outputLoc)
outputLocSpiStr = locationToSpider(1, outputName)
# check values
if filterType < 2:
pars["filterRadius"] = request.GET.get('radius', None)
else:
pars["highFreq"] = float(request.GET.get('highFreq', None))
pars["lowFreq"] = float(request.GET.get('lowFreq', None))
if filterType == 2:
pars["temperature"] = request.GET.get('temperature', None)
filter_spider(outputLocSpiStr, outputLocSpiStr, **pars)
# Get output image and update filtered image
img = xmipp.Image()
locXmippStr = locationToXmipp(1, outputPath)
img.read(locXmippStr)
# from PIL import Image
img = getPILImage(img, dim)
response = HttpResponse(mimetype="image/png")
img.save(response, "PNG")
return response
def get_image_filter_spider(request):
"""
Function to get the computing image with a spider filter applied
"""
pars = {}
imagePath = request.GET.get('image', None)
dim = request.GET.get('dim', None)
filterType = int(request.GET.get('filterType', None))
pars["filterType"] = filterType
pars["filterMode"] = int(request.GET.get('filterMode', None))
pars["usePadding"] = request.GET.get('usePadding', None)
pars["op"] = "FQ"
# Copy image to filter to Tmp project folder
outputName = os.path.join("Tmp", "filtered_particle")
outputPath = outputName + ".spi"
outputLoc = (1, outputPath)
ih = ImageHandler()
ih.convert(xmippToLocation(imagePath), outputLoc)
outputLocSpiStr = locationToSpider(1, outputName)
# check values
if filterType < 2:
pars["filterRadius"] = request.GET.get('radius', None)
else:
pars["highFreq"] = float(request.GET.get('highFreq', None))
pars["lowFreq"] = float(request.GET.get('lowFreq', None))
if filterType == 2:
pars["temperature"] = request.GET.get('temperature', None)
filter_spider(outputLocSpiStr, outputLocSpiStr, **pars)
# Get output image and update filtered image
img = xmipp.Image()
locXmippStr = locationToXmipp(1, outputPath)
img.read(locXmippStr)
# from PIL import Image
img = getPILImage(img, dim)
response = HttpResponse(mimetype="image/png")
img.save(response, "PNG")
return response
def _preprocessParticleRow(self, img, imgRow):
if self._imgPath:
# Create a link or copy files to extraPath
# and update the Row properly
index, fn = xmippToLocation(imgRow.getValue(md.MDL_IMAGE))
imgBase = basename(fn)
imgDst = self.protocol._getExtraPath(imgBase)
if not exists(imgDst):
self.copyOrLink(join(self._imgPath, fn), imgDst)
imgRow.setValue(md.MDL_IMAGE, locationToXmipp(index, imgDst))
if self._micIdOrName:
micId = imgRow.getValue(md.MDL_MICROGRAPH_ID, None)
micName = imgRow.getValue(md.MDL_MICROGRAPH, None)
# Check which is the key to identify micrographs (id or name)
if micId is not None:
micKey = micId
else:
micKey = micName
mic = self.micDict.get(micKey, None)
# First time I found this micrograph (either by id or name)
if mic is None:
mic = Micrograph()
mic.setObjId(micId)
if micName is None:
micName = self.protocol._getExtraPath('fake_micrograph%6d' % micId)
mic.setFileName(micName)
self.micSet.append(mic)
# Update dict with new Micrograph
self.micDict[micKey] = mic
# Update the row to set a MDL_MICROGRAPH_ID
imgRow.setValue(md.MDL_MICROGRAPH_ID, long(mic.getObjId()))
