def __init__(self):
#configuration
args = config.config()
self.datapath = 'datasets'
ataset = ODMLoadDatasetStage(self.datapath , args,
verbose=args.verbose)
# run the dataset layer
dataset.run()
#now we have photo metadata such as gps, camera,
#need configuration of IP address of clients
#https://stackoverflow.com/questions/45071567/how-to-send-custom-header-metadata-with-python-grpc
class Servicer(chunk_pb2_grpc.FileServerServicer):
def __init__(self):
self.tmp_file_name = './temp/IMG_2359.JPG'
def upload(self, request_iterator, context):
save_chunks_to_file(request_iterator, self.tmp_file_name)
return chunk_pb2.Reply(length=os.path.getsize(self.tmp_file_name))
def download(self, request, context):
if request.name:
return get_file_chunks(self.tmp_file_name)
self.server = grpc.server(futures.ThreadPoolExecutor(max_workers=1))
chunk_pb2_grpc.add_FileServerServicer_to_server(Servicer(), self.server)
def configuration():
args = config.config()
args_dict = vars(args)
args.split = 5
args.split_overlap = 10
args.rerun_all = True
for k in sorted(args_dict.keys()):
# Skip _is_set keys
if k.endswith("_is_set"):
continue
# Don't leak token
if k == 'sm_cluster' and args_dict[k] is not None:
log.ODM_INFO('%s: True' % k)
else:
log.ODM_INFO('%s: %s' % (k, args_dict[k]))
args.project_path = io.join_paths(args.project_path, args.name)
print(args.project_path)
args.project_path = '/home/j/ODM-master/dataset/images'
if not io.dir_exists(args.project_path):
log.ODM_WARNING('Directory %s does not exist. Creating it now.' %
args.name)
system.mkdir_p(os.path.abspath(args.project_path))
dataset = ODMLoadDatasetStage('dataset',
args,
progress=5.0,
verbose=args.verbose)
dataset.run()
#upload images to server 2
#blocking call
#run distance measuremeants
#exchange images that are required by 2 and images required by 1
#opensfm in map reduce mode
opensfm = ODMOpenSfMStage('opensfm', args, progress=25.0)
opensfm.run()
def test_get_submodel_argv(self):
# Base
args = config.config(["--project-path", "/datasets"])
self.assertEqual(get_submodel_argv(args)[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
self.assertEqual(get_submodel_argv(args, "/submodels", "submodel_0000")[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel', '--project-path', '/submodels', 'submodel_0000'])
# Base + project name
args = config.config(["--project-path", "/datasets", "brighton"])
self.assertEqual(get_submodel_argv(args)[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
self.assertEqual(get_submodel_argv(args, "/submodels", "submodel_0000")[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel', '--project-path', '/submodels', 'submodel_0000'])
# Project name + base
args = config.config(["brighton", "--project-path", "/datasets"])
self.assertEqual(get_submodel_argv(args)[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
self.assertEqual(get_submodel_argv(args, "/submodels", "submodel_0000")[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel', '--project-path', '/submodels', 'submodel_0000'])
# Crop
args = config.config(["brighton", "--project-path", "/datasets", "--crop", "0"])
self.assertEqual(get_submodel_argv(args)[1:],
['--crop', '0.015625', '--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
self.assertEqual(get_submodel_argv(args, "/submodels", "submodel_0000")[1:],
['--crop', '0.015625', '--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel', '--project-path', '/submodels', 'submodel_0000'])
# With sm-cluster, pc-csv and others
args = config.config(["--project-path", "/datasets", "--split", "200", "--pc-csv"])
self.assertEqual(get_submodel_argv(args)[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
self.assertEqual(get_submodel_argv(args, "/submodels", "submodel_0000")[1:],
['--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel', '--project-path', '/submodels', 'submodel_0000'])
# Cameras JSON
args = config.config(["--project-path", "/datasets", "--cameras", os.path.join(os.path.dirname(os.path.realpath(__file__)), "assets", "sample.json")])
self.assertEqual(get_submodel_argv(args)[1:],
['--cameras', '{"test": "1"}', '--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
# Camera JSON string
args = config.config(["--project-path", "/datasets", "--cameras", '{"test": "1"}'])
self.assertEqual(get_submodel_argv(args)[1:],
['--cameras', '{"test": "1"}', '--orthophoto-cutline', '--dem-euclidean-map', '--skip-3dmodel'])
def process_local(self):
completed_file = self.path("toolchain_completed.txt")
submodel_name = os.path.basename(self.project_path)
if not os.path.exists(completed_file) or self.params['rerun']:
log.ODM_INFO("=============================")
log.ODM_INFO("Local Toolchain %s" % self)
log.ODM_INFO("=============================")
submodels_path = os.path.abspath(self.path(".."))
argv = get_submodel_argv(config.config(), submodels_path, submodel_name)
# Re-run the ODM toolchain on the submodel
system.run(" ".join(map(double_quote, map(str, argv))), env_vars=os.environ.copy())
# This will only get executed if the command above succeeds
self.touch(completed_file)
else:
log.ODM_INFO("Already processed toolchain for %s" % submodel_name)
def perform_work():
"""Prepares for and runs the ODM code
"""
print("[worker] Starting")
arg_file = os.environ.get('ODM_SETTINGS')
project_path = os.environ.get('ODM_PROJECT')
if not project_path:
print("[worker] raising missing environment variable ODM_PROJECT")
raise ValueError("Missing project path environment variable")
print("[worker] settings file: " + str(arg_file))
new_settings = None
print("[worker] loading settings")
if arg_file:
with open(arg_file, encoding='utf-8') as in_f:
new_settings = yaml.safe_load(in_f)
print("[worker] getting config using our settings: %s" %
context.settings_path)
args = config.config()
print("[worker] merging config")
if new_settings:
for name in new_settings:
if name not in NO_OVERRIDE_SETTINGS:
setattr(args, name, new_settings[name])
print("[worker] config %s" % str(args))
print("[worker] setting project path")
args.project_path = project_path
os.chdir(project_path)
print("[worker] Starting")
app = ODMApp(args=args)
app.execute()
print("[worker] finishing")
self.logger.exception("Could not stich image.")
finally:
# Restore any settings that might have changed
self.opendrone_args = original_settings
try:
# Clean up the working environment by removing links and created folders
self.logger.debug("[Cleanup] remove computing folder: %s" %
self.opendrone_args.project_path)
for path in paths:
inputfile = os.path.basename(path)
odmfile = os.path.join("/tmp", inputfile + ".jpg")
if os.path.isfile(odmfile):
self.logger.debug("[Cleanup] remove odm .jpg: %s" %
odmfile)
os.remove(odmfile)
shutil.rmtree(self.opendrone_args.project_path)
except OSError:
pass
finally:
self.opendrone_args.project_path = original_project_path
if __name__ == "__main__":
args = config.config()
args.project_path = tempfile.mkdtemp()
extractor = OpenDroneMapStitch()
extractor.dosetup(args)
extractor.start()
def execute_remote_task(
self,
done,
seed_files=[],
seed_touch_files=[],
outputs=[],
):
"""
Run a task by creating a seed file with all files in seed_files, optionally
creating empty files (for flag checks) specified in seed_touch_files
and returning the results specified in outputs. Yeah it's pretty cool!
"""
seed_file = self.create_seed_payload(seed_files,
touch_files=seed_touch_files)
# Find all images
images = glob.glob(self.path("images/**"))
# Add GCP (optional)
if os.path.exists(self.path("gcp_list.txt")):
images.append(self.path("gcp_list.txt"))
# Add seed file
images.append(seed_file)
class nonloc:
last_update = 0
def print_progress(percentage):
if (time.time() - nonloc.last_update >=
2) or int(percentage) == 100:
log.ODM_INFO("LRE: Upload of %s at [%s%%]" %
(self, int(percentage)))
nonloc.last_update = time.time()
# Upload task
task = self.node.create_task(images,
get_submodel_args_dict(config.config()),
progress_callback=print_progress,
skip_post_processing=True,
outputs=outputs)
self.remote_task = task
# Cleanup seed file
os.remove(seed_file)
# Keep track of tasks for cleanup
self.params['tasks'].append(task)
# Check status
info = task.info()
if info.status in [TaskStatus.RUNNING, TaskStatus.COMPLETED]:
def monitor():
class nonloc:
status_callback_calls = 0
last_update = 0
def status_callback(info):
# If a task switches from RUNNING to QUEUED, then we need to
# stop the process and re-add the task to the queue.
if info.status == TaskStatus.QUEUED:
log.ODM_WARNING(
"LRE: %s (%s) turned from RUNNING to QUEUED. Re-adding to back of the queue."
% (self, task.uuid))
raise NodeTaskLimitReachedException(
"Delayed task limit reached")
elif info.status == TaskStatus.RUNNING:
# Print a status message once in a while
nonloc.status_callback_calls += 1
if nonloc.status_callback_calls > 30:
log.ODM_INFO("LRE: %s (%s) is still running" %
(self, task.uuid))
nonloc.status_callback_calls = 0
try:
def print_progress(percentage):
if (time.time() - nonloc.last_update >=
2) or int(percentage) == 100:
log.ODM_INFO("LRE: Download of %s at [%s%%]" %
(self, int(percentage)))
nonloc.last_update = time.time()
task.wait_for_completion(status_callback=status_callback)
log.ODM_INFO("LRE: Downloading assets for %s" % self)
task.download_assets(self.project_path,
progress_callback=print_progress)
log.ODM_INFO(
"LRE: Downloaded and extracted assets for %s" % self)
done()
except exceptions.TaskFailedError as e:
# Try to get output
try:
output_lines = task.output()
# Save to file
error_log_path = self.path("error.log")
with open(error_log_path, 'w') as f:
f.write('\n'.join(output_lines) + '\n')
msg = "(%s) failed with task output: %s\nFull log saved at %s" % (
task.uuid, "\n".join(
output_lines[-10:]), error_log_path)
done(exceptions.TaskFailedError(msg))
except:
log.ODM_WARNING(
"LRE: Could not retrieve task output for %s (%s)" %
(self, task.uuid))
done(e)
except Exception as e:
done(e)
# Launch monitor thread and return
t = threading.Thread(target=monitor)
self.params['threads'].append(t)
t.start()
elif info.status == TaskStatus.QUEUED:
raise NodeTaskLimitReachedException("Task limit reached")
else:
raise Exception("Could not send task to node, task status is %s" %
str(info.status))
#!/usr/bin/python
from opendm import log
from opendm import config
from opendm import system
from opendm import io
import ecto
import os
from scripts.odm_app import ODMApp
if __name__ == '__main__':
args = config.config()
log.ODM_INFO('Initializing OpenDroneMap app - %s' % system.now())
# Add project dir if doesn't exist
args.project_path = io.join_paths(args.project_path, args.name)
if not io.dir_exists(args.project_path):
log.ODM_WARNING('Directory %s does not exist. Creating it now.' % args.name)
system.mkdir_p(os.path.abspath(args.project_path))
# If user asks to rerun everything, delete all of the existing progress directories.
# TODO: Move this somewhere it's not hard-coded
if args.rerun_all:
os.system("rm -rf "
+ args.project_path + "images_resize/ "
+ args.project_path + "odm_georeferencing/ "
+ args.project_path + "odm_meshing/ "
import unittest
import os
import shutil
import ecto
from opendm import config
from opendm import context
from scripts.odm_app import ODMApp
from ecto.opts import scheduler_options, run_plasm
parser = config.parser
scheduler_options(parser)
options = config.config()
def appSetup(options):
app = ODMApp(args=options)
plasm = ecto.Plasm()
plasm.insert(app)
return app, plasm
def setup_module():
# Run tests
print '%s' % options
options.project_path = context.tests_data_path
# options.rerun_all = True
app, plasm = appSetup(options)
print 'Run Setup: Initial Run'
run_plasm(options, plasm)
# options.rerun_all = False
import unittest
import os
import shutil
import ecto
from opendm import config
from opendm import context
from scripts.odm_app import ODMApp
from ecto.opts import scheduler_options, run_plasm
parser = config.parser
scheduler_options(parser)
options = config.config()
def appSetup(options):
app = ODMApp(args=options)
plasm = ecto.Plasm()
plasm.insert(app)
return app, plasm
def setup_module():
# Run tests
print '%s' % options
options.project_path = context.tests_data_path
# options.rerun_all = True
app, plasm = appSetup(options)
print 'Run Setup: Initial Run'
run_plasm(options, plasm)
# options.rerun_all = False
def test_get_submodel_argv_dict(self):
# Base
args = config.config(["--project-path", "/datasets"])
self.assertEqual(get_submodel_args_dict(args),
{'orthophoto-cutline': True, 'skip-3dmodel': True, 'dem-euclidean-map': True})
