def keymatchChains(imagePath):
# KeyMatchFull, KeyMatchGPU
imageSource = Sources.ImageSource(imagePath, "pgm")
sift = FeatureExtraction.Sift(imageSource, False, "SiftHess")
keyMatch = FeatureMatch.KeyMatch(sift, True, "KeyMatchFull", forceRun=True)
print Chain.Render(keyMatch,"UnitTest-keymatchChains-KeyMatchFull-log.txt")
def sfmChainBuild(chainFilePath, imagePath):
# build chain
imageSource = Sources.ImageSource(imagePath, "jpg")
sift = FeatureExtraction.Sift(imageSource, False, "SiftHess")
keyMatch = FeatureMatch.KeyMatch(sift, False, "KeyMatchFull")
bundler = BundleAdjustment.Bundler([keyMatch, imageSource])
radialUndistort = Cluster.RadialUndistort([bundler, imageSource])
prepCmvsPmvs = Cluster.PrepCmvsPmvs(radialUndistort,
os.path.join(imagePath, "pmvs"))
cmvs = Cluster.CMVS(prepCmvsPmvs)
pmvs = Cluster.PMVS(cmvs)
# persist chain
Chain.StageRegistry.Save(chainFilePath)
def siftChains(imagePath):
#SiftWin32, SiftHess, SiftGPU, VLFeat
imageSource = Sources.ImageSource(imagePath, "pgm")
sift = FeatureExtraction.Sift(imageSource, False, "SiftWin32", forceRun=True)
# SiftWin32 only on windows
if (Common.Utility.OSName=="Windows"):
print Chain.Render(sift,"UnitTest-siftChains-SiftWin32-log.txt")
sift.SetProperty("Sift Method", "VLFeat")
print Chain.Render(sift,"UnitTest-siftChains-VLFeat-log.txt")
# daisy only on windows (note: this should not be the last test, as the descriptors are for ROIs)
if (Common.Utility.OSName=="Windows"):
imageSource = Sources.ImageSource(imagePath, "jpg")
daisy = FeatureExtraction.Daisy(imageSource, False, roi="0,0,50,50", forceRun=True)
print Chain.Render(daisy,"UnitTest-siftChains-daisy-log.txt")
sift.SetProperty("Sift Method", "SiftHess")
print Chain.Render(sift,"UnitTest-siftChains-SiftHess-log.txt")
def bundlerChain(imagePath):
# PMVS path
pmvsPath = os.path.join(imagePath,"pmvs")
# build chain
imageSource = Sources.ImageSource(imagePath, "jpg")
sift = FeatureExtraction.Sift(imageSource, False, "SiftHess")
keyMatch = FeatureMatch.KeyMatch(sift, False, "KeyMatchFull")
bundler = BundleAdjustment.Bundler([keyMatch, imageSource], forceRun=True)
radialUndistort = Cluster.RadialUndistort([bundler, imageSource], forceRun=True)
prepCmvsPmvs = Cluster.PrepCmvsPmvs(radialUndistort, pmvsPath, forceRun=True)
# cmvs not build on 32bit Linux yet
if (Common.Utility.PlatformName != "Linux32bit"):
cmvs = Cluster.CMVS(prepCmvsPmvs, forceRun=True)
pmvs = Cluster.PMVS(cmvs, forceRun=True)
else:
pmvs = Cluster.PMVS(prepCmvsPmvs, forceRun=True)
# render chain
print Chain.Render(pmvs,"UnitTest-bundlerChain-log.txt")
# Copyright (c) 2012, Adam J. Rossi. All rights reserved. See README for licensing details.
import sys, os
sys.path.append(os.path.abspath("."))
import Chain # Chain must be imported first, requirement of registry
import Sources, FeatureExtraction, Common
# path to images
imagePath = os.path.abspath("../Datasets/ET")
# build chain
imageSource = Sources.ImageSource(imagePath, "jpg")
# insert tap point stage with print function
tap = Common.TapPoint(
imageSource, {Common.sfmImages: lambda x: "Image Path: " + x.GetPath()})
# insert tap point stage without print function
tap = Common.TapPoint(tap)
sift = FeatureExtraction.Sift(tap, False, "SiftHess")
# render chain
print Chain.Render(sift, "tapPoint.txt")
# Copyright (c) 2014, Adam J. Rossi. All rights reserved. See README for licensing details.
import sys, os
sys.path.append(os.path.abspath("."))
import Chain # Chain must be imported first, requirement of registry
import Sources, FeatureExtraction, FeatureMatch, BundleAdjustment, Cluster
# path to images / PMVS
imagePath = os.path.abspath("../Datasets/ET")
pmvsPath = os.path.join(imagePath, "pmvs")
# build chain
imageSource = Sources.ImageSource(imagePath, "jpg")
sift = FeatureExtraction.Sift(imageSource, False, "SiftHess")
keyMatch = FeatureMatch.KeyMatch(sift, False, "KeyMatchFull")
bundler = BundleAdjustment.Bundler([keyMatch, imageSource])
radialUndistort = Cluster.RadialUndistort([bundler, imageSource])
prepCmvsPmvs = Cluster.PrepCmvsPmvs(radialUndistort, pmvsPath)
cmvs = Cluster.CMVS(prepCmvsPmvs)
pmvs = Cluster.PMVS(cmvs)
# render chain
print Chain.Render(pmvs, "sfm.txt")
