from hyo2.qc.qctools.qt_progress import QtProgress
from hyo2.qc.common.grid_callback.qt_grid_callback import QtGridCallback
app = QtGui.QApplication([])
wid = QtGui.QWidget()
prj = SurveyProject(output_folder=testing.output_data_folder(),
progress=QtProgress(parent=wid))
prj.set_callback(QtGridCallback(progress=prj.progress))
# add BAG files
bag_files = testing.input_test_files(".bag")
# logger.info("S57 files: %d" % len(bag_files))
# prj.add_to_grid_list(bag_files[0])
prj.add_to_grid_list(
"C:\\Users\\gmasetti\\Google Drive\\QC Tools\\test data\\H12976\\H12976_MB_1m_MLLW_1of2.bag"
)
prj.add_to_s57_list(
"C:\\Users\\gmasetti\\Google Drive\\QC Tools\\test data\\H12976\\H12976_FFF_Test.000"
)
four_gb = 4294967296
one_mb = 1048576
specs = "2016"
prj.clear_survey_label()
prj.read_feature_file(feature_path=prj.s57_list[0])
prj.open_grid(path=prj.grid_list[0], chunk_size=four_gb)
prj.designated_scan_v2(survey_scale=20000, neighborhood=True, specs=specs)
saved = prj.save_designated()
if saved:
)
logger.debug(prj)
# add a grid file
# csar_files = testing.input_test_files(".csar")
# print("- CSAR files: %d" % len(csar_files))
# bag_files = testing.input_test_files(".bag")
# print("- BAG files: %d" % len(bag_files))
# prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\testing\\survey\\valsou_check\\test1\\H12976_1m_clip.csar")
# prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\testing\\survey\\valsou_check\\test1\\H12976_1m_clip.bag")
#prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\testing\\survey\\valsou_check\\test1\\H12976_VR_clip.csar")
#prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\testing\\survey\\valsou_check\\test1\\H12976_VR_clip.bag")
# prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\survey\\VALSOU Check\\H12881\\H12881_MB_1m_MLLW_1of5.bag")
# prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\survey\\VALSOU Check\\H12881\\H12881_MB_2m_MLLW_Final.csar")
prj.add_to_grid_list(
"C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\_issues\\VALSOU_Check_8_27_2018\\H13022_MB_50cm_MLLW_final.csar"
)
prj.add_to_grid_list(
"C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\_issues\\VALSOU_Check_8_27_2018\\H13022_MB_1m_MLLW_final.csar"
)
four_gb = 4294967296
one_mb = 1048576
with_laser = True
survey_scale = 20000
specs_version = "2018"
is_target_detection = True
for s57_file in prj.s57_list:
logger.debug("s57: %s" % s57_file)
if not os.path.isdir(output_folder):
logger.error("output folder is actually not a folder: %s" %
output_folder)
exit(-1)
logger.debug("output folder: %s" % output_folder)
# create the project
prj = SurveyProject(output_folder=output_folder)
# add all the BAG files to the project
for bag_path in bag_todo_list:
prj.add_to_grid_list(bag_path)
# create 3 empty lists: one for the BAGs successfully processed, one for the ones without Uncertainty lauyer,
# and another for crashes
bag_done_list = list()
bag_without_uncertainty_list = list()
bag_crash_list = list()
# actually processing the BAG files
for i, bag_path in enumerate(prj.grid_list):
try: # Trapping Exceptions like OSError (File permissions)
logger.debug(">>>>>> #%03d (%s): processing ..." % (i, bag_path))
def run_qc_tools_v3(grid_path, flier_finder, holiday_finder, holiday_finder_mode, grid_qa,
survey_name, output_shp=False, output_kml=False):
from hyo2.qc.survey.project import SurveyProject
from hyo2.qc import __version__
print("\n-->> running QC Tools (v.%s)" % __version__)
grid_folder, grid_name = os.path.split(grid_path)
prj = SurveyProject(output_folder=grid_folder)
# disable output formats except .000
prj.output_svp = False
prj.output_shp = False
prj.output_kml = False
prj.add_to_grid_list(grid_path)
if survey_name is None:
prj.clear_survey_label()
else:
prj.survey_label = survey_name
if flier_finder:
print('running flier finder on: %s' % grid_path)
prj.set_cur_grid(path=grid_path)
prj.open_to_read_cur_grid()
prj.find_fliers_v8(height=None)
saved = prj.save_fliers()
if saved:
print('- found fliers: %d' % prj.number_of_fliers())
else:
print('- no fliers found')
if holiday_finder:
print('running holiday finder on: %s' % grid_path)
prj.find_holes_v4(path=grid_path, mode=holiday_finder_mode)
prj.output_shp = output_shp
prj.output_kml = output_kml
saved = prj.save_holes()
if saved:
print('- found holidays: certain %d, possible %d'
% (prj.number_of_certain_holes(), prj.number_of_possible_holes()))
else:
print('- no holidays')
if grid_qa:
print('running grid qa on: %s' % grid_path)
prj.set_cur_grid(path=grid_path)
prj.open_to_read_cur_grid()
tvu_qc_layers = prj.cur_grid_tvu_qc_layers()
if len(tvu_qc_layers) > 0:
prj.set_cur_grid_tvu_qc_name(tvu_qc_layers[0])
ret = prj.grid_qa_v5()
print("- passed? %r" % ret)
if grid_qa:
prj.open_gridqa_output_folder()
return
if holiday_finder:
prj.open_holes_output_folder()
return
if flier_finder:
prj.open_fliers_output_folder()
return
wid = QtWidgets.QWidget()
# create the project
prj = SurveyProject(output_folder=testing.output_data_folder(),
progress=QtProgress(parent=wid))
# add a CSAR file
# csar_files = testing.input_test_files(".csar")
# print("- CSAR files: %d" % len(csar_files))
# add a BAG file
bag_files = testing.input_test_files(".bag")
print("- BAG files: %d" % len(bag_files))
kluster_file = r"C:\code\kluster\kluster\test_data\srgrid_mean_auto_depth_20211127_201258"
prj.add_to_grid_list(kluster_file)
# prj.add_to_grid_list(csar_files[0])
# prj.add_to_grid_list(csar_files[1])
# prj.add_to_grid_list(bag_files[0])
# prj.add_to_grid_list(bag_files[1])
# prj.add_to_grid_list(bag_files[2])
# prj.add_to_grid_list(csar_file)
print("%s" % (prj.grid_list, ))
four_gb = 4294967296
one_mb = 1048576
force_tvu_qc = True
calc_object_detection = False
app = QtWidgets.QApplication([])
wid = QtWidgets.QWidget()
# create the project
prj = SurveyProject(output_folder=testing.output_data_folder(),
progress=QtProgress(parent=wid))
# add a CSAR file
csar_files = testing.input_test_files(".csar")
print("- CSAR files: %d" % len(csar_files))
#
# # add a BAG file
# bag_files = testing.input_test_files(".bag")
# print("- BAG files: %d" % len(bag_files))
prj.add_to_grid_list(csar_files[0])
# prj.add_to_grid_list(bag_files[0])
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/H12880_2806_2016DN149_Ranges_CUBE.csar")
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/H12880_10_1_0_Ranges_CUBE_Final.csar")
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/Test0_H12280_2806_200kHz_DN149_CalderRice.csar")
# prj.add_to_grid_list("C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\_issues\\H13034_Holiday_Finder_Issue_4_23_2018\\H13034_MB_2m_MLLW_Final.csar")
print("%s" % (prj.grid_list, ))
#four_gb = 4294967296
# one_mb = 1048576
#
for grid_path in prj.grid_list:
prj.clear_survey_label()
# v4
prj.find_holes_v4(path=grid_path,
# # add a CSAR file
# csar_files = testing.input_test_files(".csar")
# print("- CSAR files: %d" % len(csar_files))
#
# # add a BAG file
# bag_files = testing.input_test_files(".bag")
# print("- BAG files: %d" % len(bag_files))
# prj.add_to_grid_list(csar_files[0])
# prj.add_to_grid_list(bag_files[0])
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/H12880_2806_2016DN149_Ranges_CUBE.csar")
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/H12880_10_1_0_Ranges_CUBE_Final.csar")
# prj.add_to_grid_list("V:/CARIS_VR/H12880/Surfaces/Test0_H12280_2806_200kHz_DN149_CalderRice.csar")
prj.add_to_grid_list(
"C:\\Users\\gmasetti\\Google Drive\\QC Tools\\data\\_issues\\H13034_Holiday_Finder_Issue_4_23_2018\\H13034_MB_2m_MLLW_Final.csar"
)
print("%s" % (prj.grid_list, ))
#four_gb = 4294967296
# one_mb = 1048576
#
for grid_path in prj.grid_list:
prj.clear_survey_label()
# v4
prj.find_holes_v4(path=grid_path,
sizer="THREE_TIMES",
mode="FULL_COVERAGE",
local_perimeter=True,
max_size=0,
s57_idx = 0
s57_files = testing.input_test_files(".000")
logger.debug("- test S57 files: %d" % len(s57_files))
logger.debug("- adding test S57 file #%d" % s57_idx)
prj.add_to_s57_list(s57_path=s57_files[s57_idx])
# add a grid file
grid_idx = 0
if use_internal_csar:
grid_files = testing.input_test_files(".csar")
logger.debug("- test CSAR files: %d" % len(grid_files))
else:
grid_files = testing.input_test_files(".bag")
logger.debug("- test BAG files: %d" % len(grid_files))
logger.debug("- adding test grid file #%d" % grid_idx)
prj.add_to_grid_list(path=grid_files[grid_idx])
else:
prj.add_to_s57_list(r"C:\code\hyo2\processing\hyo2_qc\data\download\H13384_FFF_testing_subset.000")
prj.add_to_grid_list(r"C:\code\hyo2\processing\hyo2_qc\data\download\H13384_50cm_MLLW_testing_subset.csar")
logger.debug(prj)
for s57_file in prj.s57_list:
logger.debug("s57: %s" % s57_file)
prj.clear_survey_label()
prj.read_feature_file(feature_path=s57_file)
for grid_path in prj.grid_list:
logger.debug("grid: %s" % grid_path)
def run_find_fliers(self, args):
if not os.path.exists(args.output_folder):
raise RuntimeError('Unable to locate output folder: %s' %
args.output_folder)
out_folder = args.output_folder
logger.debug('output folder: %s' % out_folder)
# create the project
prj = SurveyProject(output_folder=out_folder)
if not os.path.exists(args.input_dtm):
raise RuntimeError('Unable to locate input DTM: %s' %
args.input_dtm)
dtm_file = args.input_dtm
logger.debug('input DTM: %s' % dtm_file)
prj.add_to_grid_list(dtm_file)
if args.s57_path is not None:
if not os.path.exists(args.s57_path):
raise RuntimeError('Unable to locate input S57: %s' %
args.s57_path)
s57_file = args.s57_path
logger.debug('input S57: %s' % s57_file)
prj.add_to_s57_list(s57_file)
if args.enforce_height is not None:
if args.enforce_height <= 0.0:
raise RuntimeError('Invalid height: %s' % args.enforce_height)
height_value = args.enforce_height
# logger.debug('height: %s' % height_value)
check_laplacian = args.check_laplacian
check_curv = args.check_curv
check_adjacent = args.check_adjacent
check_slivers = args.check_slivers
check_isolated = args.check_isolated
check_edges = args.check_edges
filter_designated = args.filter_designated
filter_fff = args.filter_fff
self._check_web_page(
token='FFv8_%d%d%d%d%d%d_%d%d' %
(check_laplacian, check_curv, check_adjacent, check_slivers,
check_isolated, check_edges, filter_designated, filter_fff))
# actual execution
for i, grid_path in enumerate(prj.grid_list):
logger.debug(">>> #%d (%s)" % (i, grid_path))
prj.clear_survey_label()
prj.set_cur_grid(path=grid_path)
prj.open_to_read_cur_grid(chunk_size=4294967296)
prj.find_fliers_v8(height=height_value,
check_laplacian=check_laplacian,
check_curv=check_curv,
check_adjacent=check_adjacent,
check_slivers=check_slivers,
check_isolated=check_isolated,
check_edges=check_edges,
filter_fff=filter_fff,
filter_designated=filter_designated)
prj.close_cur_grid()
prj.set_cur_grid(path=grid_path)
prj.open_to_read_cur_grid(chunk_size=4294967296)
prj.find_fliers_v8_apply_filters()
saved = prj.save_fliers()
if saved:
logger.debug('Fliers saved')
app = QtWidgets.QApplication([])
wid = QtWidgets.QWidget()
# create the project
prj = SurveyProject(output_folder=testing.output_data_folder(),
progress=QtProgress(parent=wid))
csar_files = testing.input_test_files(".csar")
logger.debug("test CSAR files: %d" % len(csar_files))
bag_files = testing.input_test_files(".bag")
logger.debug("test BAG files: %d" % len(bag_files))
# prj.add_to_grid_list(csar_files[0])
# prj.add_to_grid_list(bag_files[0])
prj.add_to_grid_list(
r"C:\Users\gmasetti\Google Drive\QC Tools\data\survey\Find Fliers\v8_filters\test_finalized.csar"
)
prj.add_to_grid_list(
r"C:\Users\gmasetti\Google Drive\QC Tools\data\survey\Find Fliers\v8_filters\test_finalized.bag"
)
prj.add_to_s57_list(
r"C:\Users\gmasetti\Google Drive\QC Tools\data\survey\Find Fliers\v8_filters\v8_filters.000"
)
logger.debug("grid list: %s" % (prj.grid_list, ))
for i, grid_path in enumerate(prj.grid_list):
logger.debug(">>> #%d (%s)" % (i, grid_path))
prj.clear_survey_label()
check_structure: bool = True
check_metadata: bool = True
check_elevation: bool = True
check_uncertainty: bool = True
check_tracking_list: bool = True
prj = SurveyProject(output_folder=testing.output_data_folder(),
progress=QtProgress(parent=wid))
if use_internal_test_files:
# add a grid file
grid_idx = 0
grid_files = testing.input_test_files(".bag")
logger.debug("- test BAG files: %d" % len(grid_files))
logger.debug("- adding test grid file #%d" % grid_idx)
prj.add_to_grid_list(path=grid_files[grid_idx])
else:
prj.add_to_grid_list(
r"C:\code\hyo2\processing\hyo2_qc\data\input\tiny_vr.bag")
logger.debug(prj)
prj.bag_checks_v1(use_nooa_nbs_profile=use_noaa_nbs_profile,
check_structure=check_structure,
check_metadata=check_metadata,
check_elevation=check_elevation,
check_uncertainty=check_uncertainty,
check_tracking_list=check_tracking_list)
logger.debug(prj.bag_checks_message)
# add a CSAR file
# csar_files = testing.input_test_files(".csar")
# print("- CSAR files: %d" % len(csar_files))
# # add a BAG file
bag_files = testing.input_test_files(".bag")
# print("- BAG files: %d" % len(bag_files))
# csar_file = "C:/Users/giumas/Google Drive/Testing_Datasets/ObjectDetection_H12676/H12676_10_2_2_Ranges_ObjectDetection_Holidays_finalized.csar"
# csar_file = "C:/Users/giumas/Google Drive/Testing_Datasets/ObjectDetection_H12676/H12676_10_2_2_Ranges_ObjectDetection_Holidays.csar"
# csar_file = "C:\\Users\\giumas\\Google Drive\\QC Tools\\test data\\H12924\\H12924_MB_1m_MLLW_Final.csar"
csar_file = "C:\\Users\\gmasetti\\Google Drive\\QC Tools\\test data\\W00341\\W00341_MB_VR_MLLW_Final.csar"
# prj.add_to_grid_list(csar_files[0])
# prj.add_to_grid_list(csar_files[1])
# prj.add_to_grid_list(bag_files[0])
prj.add_to_grid_list(csar_file)
print("%s" % (prj.grid_list, ))
four_gb = 4294967296
one_mb = 1048576
force_tvu_qc = True
calc_object_detection = False
calc_full_coverage = True
hist_depth = True
hist_density = True
hist_tvu_qc = True
hist_pct_res = True
