# Run non-ortho conversions without any multiprocessing (they are pretty fast)
# TODO: May be worth doing the faster functions with multiprocessing in the future
if not options.noLidarConvert:
ans = input_conversions.convertLidarDataToCsv(
lidarFolder, options.startFrame, options.stopFrame,
options.skipValidate, logger)
isGood = (isGood and ans)
ans = input_conversions.pairLidarFiles(lidarFolder,
options.skipValidate,
logger)
isGood = (isGood and ans)
ans = input_conversions.correctFireballDems(
fireballFolder, corrFireballFolder, options.startFrame,
options.stopFrame, (not isSouth), options.skipValidate, logger)
isGood = (isGood and ans)
ans = input_conversions.convertJpegs(
jpegFolder, imageFolder, options.startFrame, options.stopFrame,
options.skipValidate, options.cameraMounting, logger)
isGood = (isGood and ans)
if not options.noNavFetch:
# Single process call to parse the nav files.
input_conversions.getCameraModelsFromNav(
imageFolder, orthoFolder, options.inputCalFolder,
options.inputCalCamera, options.cameraLookupFile, navFolder,
navCameraFolder, options.yyyymmdd, options.site,
options.startFrame, options.stopFrame, options.cameraMounting,
def runFetchConvert(options, isSouth, cameraFolder, imageFolder, jpegFolder, orthoFolder,
fireballFolder, corrFireballFolder, lidarFolder, processedFolder,
navFolder, navCameraFolder, refDemPath, logger):
'''Fetch and/or convert. Return 0 on success.'''
if options.noFetch:
logger.info('Skipping fetch.')
else:
# Call data fetch routine and check the result
fetchResult = fetchAllRunData(options, options.startFrame, options.stopFrame,
jpegFolder, orthoFolder, fireballFolder, lidarFolder,
navFolder)
if fetchResult < 0:
logger.error("Fetching failed!")
return -1
# This step is slow, so run it here as part of fetching and save its result
# We certainly don't want it to throw any exception at this stage.
try:
forceAllFramesInRange = True
availableFrames = []
(autoStereoInterval, breaks) = \
process_icebridge_run.getImageSpacing(orthoFolder, availableFrames,
options.startFrame,
options.stopFrame,
forceAllFramesInRange)
except Exception as e:
pass
if options.stopAfterFetch or options.dryRun:
logger.info('Fetching complete, finished!')
return 0
# Keep track of how we are doing
isGood = True
if options.noConvert:
logger.info('Skipping convert.')
else:
# When files fail in these conversion functions we log the error and keep going
if not options.skipFastConvert:
if not options.skipValidate:
# Validate orthos and dems for this frame range.
ans = validateOrthosAndFireball(options, 'ortho', logger)
isGood = (isGood and ans)
ans = validateOrthosAndFireball(options, 'fireball', logger)
isGood = (isGood and ans)
# Run non-ortho conversions without any multiprocessing (they are pretty fast)
# TODO: May be worth doing the faster functions with multiprocessing in the future
if not options.noLidarConvert:
ans = input_conversions.convertLidarDataToCsv(lidarFolder,
options.startFrame, options.stopFrame,
options.skipValidate,
logger)
isGood = (isGood and ans)
ans = input_conversions.pairLidarFiles(lidarFolder, options.skipValidate, logger)
isGood = (isGood and ans)
ans = input_conversions.correctFireballDems(fireballFolder, corrFireballFolder,
options.startFrame, options.stopFrame,
(not isSouth), options.skipValidate,
logger)
isGood = (isGood and ans)
ans = input_conversions.convertJpegs(jpegFolder, imageFolder,
options.startFrame, options.stopFrame,
options.skipValidate, options.cameraMounting,
logger)
isGood = (isGood and ans)
if not options.noNavFetch:
# Single process call to parse the nav files.
input_conversions.getCameraModelsFromNav(imageFolder, orthoFolder,
options.inputCalFolder,
options.inputCalCamera,
options.cameraLookupFile,
navFolder, navCameraFolder,
options.yyyymmdd, options.site,
options.startFrame, options.stopFrame,
options.cameraMounting,
logger)
else:
navCameraFolder = ""
options.simpleCameras = False
if not options.noOrthoConvert:
# Multi-process call to convert ortho images
input_conversions.getCameraModelsFromOrtho(imageFolder, orthoFolder,
options.inputCalFolder,
options.inputCalCamera,
options.cameraLookupFile,
options.noNavFetch,
navCameraFolder,
options.yyyymmdd, options.site,
refDemPath, cameraFolder,
options.simpleCameras,
options.startFrame, options.stopFrame,
options.framesFile,
options.numOrthoProcesses, options.numThreads,
logger)
os.system("rm -f core.*") # these keep on popping up
if isGood:
return 0
return -1
def runFetchConvert(options, isSouth, cameraFolder, imageFolder, jpegFolder,
orthoFolder, fireballFolder, corrFireballFolder,
lidarFolder, processedFolder, navFolder, navCameraFolder,
refDemPath, logger):
'''Fetch and/or convert. Return 0 on success.'''
if options.noFetch:
logger.info('Skipping fetch.')
else:
# Call data fetch routine and check the result
fetchResult = fetchAllRunData(options, options.startFrame,
options.stopFrame, jpegFolder,
orthoFolder, fireballFolder, lidarFolder,
navFolder)
if fetchResult < 0:
logger.error("Fetching failed!")
return -1
# This step is slow, so run it here as part of fetching and save its result
# We certainly don't want it to throw any exception at this stage.
try:
forceAllFramesInRange = True
availableFrames = []
(autoStereoInterval, breaks) = \
process_icebridge_run.getImageSpacing(orthoFolder, availableFrames,
options.startFrame,
options.stopFrame,
options.maxOverlapRatio,
forceAllFramesInRange)
except Exception as e:
pass
if options.stopAfterFetch or options.dryRun:
logger.info('Fetching complete, finished!')
return 0
# Keep track of how we are doing
isGood = True
if options.noConvert:
logger.info('Skipping convert.')
else:
# When files fail in these conversion functions we log the error and keep going
if not options.skipFastConvert:
if not options.skipValidate:
# Validate orthos and dems for this frame range.
ans = validateOrthosAndFireball(options, 'ortho', logger)
isGood = (isGood and ans)
ans = validateOrthosAndFireball(options, 'fireball', logger)
isGood = (isGood and ans)
# Run non-ortho conversions without any multiprocessing (they are pretty fast)
# TODO: May be worth doing the faster functions with multiprocessing in the future
if not options.noLidarConvert:
ans = input_conversions.convertLidarDataToCsv(
lidarFolder, options.startFrame, options.stopFrame,
options.skipValidate, logger)
isGood = (isGood and ans)
ans = input_conversions.pairLidarFiles(lidarFolder,
options.skipValidate,
logger)
isGood = (isGood and ans)
ans = input_conversions.correctFireballDems(
fireballFolder, corrFireballFolder, options.startFrame,
options.stopFrame, (not isSouth), options.skipValidate, logger)
isGood = (isGood and ans)
ans = input_conversions.convertJpegs(
jpegFolder, imageFolder, options.startFrame, options.stopFrame,
options.skipValidate, options.cameraMounting, logger)
isGood = (isGood and ans)
if not options.noNavFetch:
# Single process call to parse the nav files.
input_conversions.getCameraModelsFromNav(
imageFolder, orthoFolder, options.inputCalFolder,
options.inputCalCamera, options.cameraLookupFile, navFolder,
navCameraFolder, options.yyyymmdd, options.site,
options.startFrame, options.stopFrame, options.cameraMounting,
logger)
else:
navCameraFolder = ""
options.simpleCameras = False
if not options.noOrthoConvert:
# Multi-process call to convert ortho images
input_conversions.getCameraModelsFromOrtho(
imageFolder, orthoFolder, options.inputCalFolder,
options.inputCalCamera, options.cameraLookupFile,
options.noNavFetch, navCameraFolder, options.yyyymmdd,
options.site, refDemPath, cameraFolder, options.simpleCameras,
options.startFrame, options.stopFrame, options.framesFile,
options.numOrthoProcesses, options.numThreads, logger)
os.system("rm -f core.*") # these keep on popping up
if isGood:
return 0
return -1