Dense reconstruction POC

pull/979/head
Piero Toffanin 2019-04-24 14:28:44 -04:00
rodzic 3087af2775
commit 11fbc561d6
4 zmienionych plików z 141 dodań i 67 usunięć

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@ -2,7 +2,7 @@
OpenSfM related utils
"""
import os
import os, shutil, sys
from opendm import io
from opendm import log
from opendm import system
@ -47,15 +47,19 @@ def reconstruct(opensfm_project_path, rerun=False):
raise Exception("Reconstruction could not be generated")
def setup(args, images_path, opensfm_path, photos, gcp_path=None, append_config = []):
def setup(args, images_path, opensfm_path, photos, gcp_path=None, append_config = [], rerun=False):
"""
Setup a OpenSfM project
"""
if rerun and io.dir_exists(opensfm_path):
shutil.rmtree(opensfm_path)
if not io.dir_exists(opensfm_path):
system.mkdir_p(opensfm_path)
# create file list
list_path = io.join_paths(opensfm_path, 'image_list.txt')
if not io.file_exists(list_path) or rerun:
has_alt = True
with open(list_path, 'w') as fout:
for photo in photos:
@ -107,18 +111,72 @@ def setup(args, images_path, opensfm_path, photos, gcp_path=None, append_config
config_filename = io.join_paths(opensfm_path, 'config.yaml')
with open(config_filename, 'w') as fout:
fout.write("\n".join(config))
else:
log.ODM_WARNING("%s already exists, not rerunning OpenSfM setup" % list_path)
def feature_matching(opensfm_project_path, rerun=False):
matched_done_file = io.join_paths(opensfm_project_path, 'matching_done.txt')
if not io.file_exists(matched_done_file) or rerun:
if not feature_matching_done(opensfm_project_path) or rerun:
run('extract_metadata', opensfm_project_path)
# TODO: distributed workflow should do these two steps independently
run('detect_features', opensfm_project_path)
run('match_features', opensfm_project_path)
with open(matched_done_file, 'w') as fout:
fout.write("Matching done!\n")
mark_feature_matching_done(opensfm_project_path)
else:
log.ODM_WARNING('Found a feature matching done progress file in: %s' %
matched_done_file)
feature_matching_done_file(opensfm_project_path))
def feature_matching_done_file(opensfm_project_path):
return io.join_paths(opensfm_project_path, 'matching_done.txt')
def mark_feature_matching_done(opensfm_project_path):
with open(feature_matching_done_file(opensfm_project_path), 'w') as fout:
fout.write("Matching done!\n")
def feature_matching_done(opensfm_project_path):
return io.file_exists(feature_matching_done_file(opensfm_project_path))
def get_submodel_argv(args, submodels_path, submodel_name):
"""
:return the same as argv, but removing references to --split,
setting/replacing --project-path and name
"""
argv = sys.argv
result = [argv[0]]
i = 1
project_path_found = False
project_name_added = False
while i < len(argv):
arg = argv[i]
# Last?
if i == len(argv) - 1:
# Project name?
if arg == args.name:
result.append(submodel_name)
project_name_added = True
else:
result.append(arg)
i += 1
elif arg == '--project-path':
result.append(arg)
result.append(submodels_path)
project_path_found = True
i += 2
elif arg == '--split':
i += 2
else:
result.append(arg)
i += 1
if not project_path_found:
result.append('--project-path')
result.append(submodel_project_path)
if not project_name_added:
result.append(submodel_name)
return result

3
run.py
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@ -36,7 +36,8 @@ if __name__ == '__main__':
quote(os.path.join(args.project_path, "odm_25dmeshing")),
quote(os.path.join(args.project_path, "odm_25dtexturing")),
quote(os.path.join(args.project_path, "mve")),
]) + "")
quote(os.path.join(args.project_path, "submodels")),
]))
app = ODMApp(args)
app.execute()

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@ -30,14 +30,13 @@ class ODMOpenSfMStage(types.ODM_Stage):
# check if reconstruction was done before
# TODO: more granularity for each step (setup/featurematch/reconstruction/etc.)
if not io.file_exists(output_file) or self.rerun():
osfm.setup(args, tree.dataset_raw, tree.opensfm, photos, gcp_path=tree.odm_georeferencing_gcp)
osfm.setup(args, tree.dataset_raw, tree.opensfm, photos, gcp_path=tree.odm_georeferencing_gcp, rerun=self.rerun())
osfm.feature_matching(tree.opensfm, self.rerun())
osfm.reconstruction(tree.opensfm, self.rerun())
osfm.reconstruct(tree.opensfm, self.rerun())
if not io.file_exists(output_file) or self.rerun():
# Always export VisualSFM's reconstruction and undistort images
# as we'll use these for texturing (after GSD estimation and resizing)
if not args.ignore_gsd:

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@ -1,9 +1,11 @@
import os
import os, sys
from opendm import log
from opendm import osfm
from opendm import types
from opendm import io
from opendm import system
from opensfm.large import metadataset
from pipes import quote
class ODMSplitStage(types.ODM_Stage):
def process(self, args, outputs):
@ -23,7 +25,7 @@ class ODMSplitStage(types.ODM_Stage):
"submodel_overlap: %s" % args.split_overlap,
]
osfm.setup(args, tree.dataset_raw, tree.opensfm, photos, gcp_path=tree.odm_georeferencing_gcp, append_config=config)
osfm.setup(args, tree.dataset_raw, tree.opensfm, photos, gcp_path=tree.odm_georeferencing_gcp, append_config=config, rerun=self.rerun())
osfm.feature_matching(tree.opensfm, self.rerun())
@ -50,14 +52,28 @@ class ODMSplitStage(types.ODM_Stage):
for sp in submodel_paths:
log.ODM_INFO("Reconstructing %s" % sp)
osfm.reconstruct(sp, self.rerun())
#osfm.reconstruct(sp, self.rerun())
# Align
log.ODM_INFO("Aligning submodels...")
osfm.run('align_submodels', tree.opensfm)
#osfm.run('align_submodels', tree.opensfm)
# Dense reconstruction for each submodel
# TODO
for sp in submodel_paths:
# TODO: network workflow
# We have already done matching
osfm.mark_feature_matching_done(sp)
submodel_name = os.path.basename(os.path.abspath(os.path.join(sp, "..")))
log.ODM_INFO("====================")
log.ODM_INFO("Processing %s" % submodel_name)
log.ODM_INFO("====================")
argv = osfm.get_submodel_argv(args, tree.submodels_path, submodel_name)
system.run(" ".join(map(quote, argv)), env_vars=os.environ.copy())
exit(1)
else: