def run_impl(self, dataset, args):
undistort.run_dataset(
dataset,
args.reconstruction,
args.reconstruction_index,
args.tracks,
args.output,
)
def convert_and_undistort(self, rerun=False, imageFilter=None):
log.ODM_INFO("Undistorting %s ..." % self.opensfm_project_path)
undistorted_images_path = self.path("undistorted", "images")
if not io.dir_exists(undistorted_images_path) or rerun:
undistort.run_dataset(DataSet(self.opensfm_project_path), "reconstruction.json",
0, None, "undistorted", imageFilter)
else:
log.ODM_WARNING("Found an undistorted directory in %s" % undistorted_images_path)
def convert_and_undistort(self, rerun=False, imageFilter=None, image_list=None, runId="nominal"):
log.ODM_INFO("Undistorting %s ..." % self.opensfm_project_path)
done_flag_file = self.path("undistorted", "%s_done.txt" % runId)
if not io.file_exists(done_flag_file) or rerun:
ds = DataSet(self.opensfm_project_path)
if image_list is not None:
ds._set_image_list(image_list)
undistort.run_dataset(ds, "reconstruction.json",
0, None, "undistorted", imageFilter)
self.touch(done_flag_file)
else:
log.ODM_WARNING("Already undistorted (%s)" % runId)
def run_impl(self, dataset: DataSet, args: argparse.Namespace) -> None:
undistort.run_dataset(dataset, args.reconstruction,
args.reconstruction_index, args.tracks,
args.output, args.skip_images)