def importImagesFromFolder(self, path, recursive=False):
"""
Args:
path: A path to a folder or file or a list of files/folders
recursive: List files in folders recursively.
"""
filesByType = multiview.findFilesByTypeInFolder(path, recursive)
if filesByType.images:
self.buildIntrinsics(self.cameraInit, filesByType.images)
def getFilesByTypeFromDrop(drop):
"""
Args:
drop:
Returns:
<images, otherFiles> List of recognized images and list of other files
"""
urls = drop.property("urls")
# Build the list of images paths
filesByType = multiview.FilesByType()
for url in urls:
localFile = url.toLocalFile()
if os.path.isdir(localFile): # get folder content
filesByType.extend(multiview.findFilesByTypeInFolder(localFile))
else:
filesByType.addFile(localFile)
return filesByType
def update(self):
"""
Look for new images in the watched folder and create SfM augmentation step (or modify existing one)
to include those images to the reconstruction.
"""
# Get all new images in the watched folder
imagesInFolder = multiview.findFilesByTypeInFolder(self._folder)
newImages = set(imagesInFolder).difference(self.allImages)
for imagePath in newImages:
# print('[LiveSfmManager] New image file : {}'.format(imagePath))
if not self.cameraInit:
# Start graph modification: until 'computeAugmentation' is called, every commands
# used will be part of this macro
self.reconstruction.beginModification("SfM Augmentation")
# Add SfM augmentation step in the graph
self.cameraInit, self.sfm = self.reconstruction.addSfmAugmentation()
self.addImageToStep(imagePath)
# If we have enough images and the graph is not being computed, compute augmentation step
if len(self.imagesInStep()) >= self.minImagesPerStep and not self.reconstruction.computing:
self.computeStep()