def Execute(self):
images = self.GetInputStageValue(0, "images")
self.StartProcess()
kds = []
images.WriteFileList()
ds = 0
if (self._properties["Downsample"]): ds = 1
for im in images.GetImages():
keypointDescriptorFile = os.path.join(
os.path.splitext(im.GetFilePath())[0] + ".key")
if (Common.Utility.ShouldRun(self._properties["Force Run"],
keypointDescriptorFile)):
self.RunCommand(
"ASIFTkeypoint",
Common.Utility.CommandArgs(
Common.Utility.Quoted(im.GetFilePath()),
Common.Utility.Quoted(keypointDescriptorFile),
self._properties["Number of Tilts"], ds))
kd = FeatureExtraction.KeypointDescriptorFileLowe(
keypointDescriptorFile, False)
kds.append(kd)
kds = FeatureExtraction.KeypointDescriptors(images.GetPath(), kds)
self.SetOutputValue("keypointDescriptors", kds)
def Execute(self):
images = self.GetInputStageValue(0, "images")
self.StartProcess()
kds = []
for im in images.GetImages():
keypointDescriptorFile = os.path.join(
os.path.splitext(im.GetFilePath())[0] + ".key")
if (Common.Utility.ShouldRun(self._properties["Force Run"],
keypointDescriptorFile)):
daisyKD = self.Process(im.GetFilePath())
kd = FeatureExtraction.KeypointDescriptorFileLowe(
daisyKD, self._properties["Parse Descriptors"])
kd.Write(os.path.splitext(daisyKD.GetFilePath())[0] + ".key")
else:
kd = FeatureExtraction.KeypointDescriptorFileLowe(
keypointDescriptorFile,
self._properties["Parse Descriptors"])
kds.append(kd)
kds = FeatureExtraction.KeypointDescriptors(images.GetPath(), kds)
self.SetOutputValue("keypointDescriptors", kds)
def Execute(self):
images = self.GetInputStageValue(0, "images")
self.StartProcess()
q = multiprocessing.Queue()
for i,im in enumerate(images.GetImages()):
q.put_nowait((i,im))
kds = [None]*len(images.GetImages())
workers = []
for i in range(self._properties["CPUs"]):
w = Sift.Worker(q, kds, self)
w.start()
workers.append(w)
errors = []
for w in workers:
w.join()
errors.extend(w.getErrors())
if (len(errors)>0):
raise Exception(string.join(errors,"\n"))
kds = FeatureExtraction.KeypointDescriptors(images.GetPath(), kds)
self.SetOutputValue("keypointDescriptors", kds)
def Execute(self):
images = self.GetInputStageValue(0, "images")
self.StartProcess()
import cv
MIN_DESC_VAL = -0.5
MAX_DESC_VAL = 0.8
CONV_FACTOR = 255.0 / (MAX_DESC_VAL-MIN_DESC_VAL)
kds = []
for im in images.GetImages():
keypointDescriptorFile = os.path.join(os.path.splitext(im.GetFilePath())[0]+".key")
if (Common.Utility.ShouldRun(self._properties["Force Run"], keypointDescriptorFile)):
cvim = cv.LoadImageM(im.GetFilePath(), cv.CV_LOAD_IMAGE_GRAYSCALE)
keypoints, descriptors = cv.ExtractSURF(cvim, None, cv.CreateMemStorage(),
(1,
self._properties["Hessian Threshold"],
self._properties["Number Octaves"],
self._properties["Number Octave Layers"]))
l = []
for i,descriptor in enumerate(descriptors):
descr = [int((x-MIN_DESC_VAL)*CONV_FACTOR) for x in descriptor]
l.append(FeatureExtraction.KeypointDescriptor(keypoints[i][0][1],
keypoints[i][0][0],
keypoints[i][2],
math.radians(keypoints[i][3]),
descr))
kdfl = FeatureExtraction.KeypointDescriptorFileLowe(l)
kdfl.Write(keypointDescriptorFile)
kdfl = FeatureExtraction.KeypointDescriptorFileLowe(keypointDescriptorFile, False)
kds.append(kdfl)
kds = FeatureExtraction.KeypointDescriptors(images.GetPath(), kds, False)
self.SetOutputValue("keypointDescriptors", kds)
