def runBlend(frame, processFolder, lidarFile, fireballDEM, options,
threadText, redo, suppressOutput):
WEIGHT_EXP = 1.3
# This will run as multiple processes. Hence have to catch all exceptions.
try:
demFile, batchFolder = icebridge_common.frameToFile(frame, icebridge_common.alignFileName(),
processFolder, options.bundleLength)
lidarCsvFormatString = icebridge_common.getLidarCsvFormat(lidarFile)
if demFile == "":
print("Could not find DEM for frame: " + str(frame))
return
# The names for the final results
finalOutputPrefix = os.path.join(batchFolder, 'out-blend-DEM')
finalBlend = finalOutputPrefix + '.tif'
finalDiff = finalOutputPrefix + "-diff.csv"
fireballOutputPrefix = os.path.join(batchFolder, 'out-blend-fb-footprint')
fireballBlendOutput = fireballOutputPrefix + '-tile-0.tif'
finalFireballOutput = fireballOutputPrefix + '-DEM.tif'
fireballDiffPath = fireballOutputPrefix + "-diff.csv"
# This is turned off for now. Find the diff between neighboring
# aligned DEMs before blending.
prevDemFile, prevBatchFolder = \
icebridge_common.frameToFile(frame-1,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
prevDiffPrefix = os.path.join(batchFolder, 'out-prev')
prevDiffFile = prevDiffPrefix + '-diff.tif'
if options.computeDiffToPrev and redo and os.path.exists(prevDiffFile):
os.system("rm -f " + prevDiffFile)
if os.path.exists(prevDemFile) and os.path.exists(demFile):
if os.path.exists(prevDiffFile):
print("File exists: " + prevDiffFile)
else:
cmd = ('geodiff --absolute %s %s -o %s' %
(prevDemFile, demFile, prevDiffPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, prevDiffFile, suppressOutput, redo)
if not redo:
set1Exists = False
if (os.path.exists(finalBlend) and os.path.exists(finalDiff)):
print("Files exist: " + finalBlend + " " + finalDiff + ".")
set1Exists = True
set2Exists = True
if fireballDEM != "":
if (os.path.exists(finalFireballOutput) and os.path.exists(fireballDiffPath)):
print("Files exist: " + finalFireballOutput + " " + fireballDiffPath + ".")
set2Exists = True
else:
set2Exists = False
if set1Exists and set2Exists:
return
# We will blend the dems with frame offsets within frameOffsets[0:index]
filesToWipe = []
bestMean = 1.0e+100
bestBlend = ''
bestVals = ''
bestDiff = ''
# Look at frames with these offsets when blending
frameOffsets = [0, 1, -1, 2, -2]
for index in range(len(frameOffsets)):
# Find all the DEMs up to the current index
dems = []
currDemFile = ""
for val in range(0, index+1):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
if currDemFile == "":
# The last DEM was not present. Hence this iteration will add nothing new.
continue
# Compute the mean distance between the DEMs
# TODO: Make sure this gets cleaned up!
meanWorkPrefix = os.path.join(batchFolder, 'bd')
meanDiff = getMeanDemDiff(dems, meanWorkPrefix)
# If the mean error between DEMs is creater than this,
# use a less aggressive blending method.
MEAN_DIFF_BLEND_THRESHOLD = 1.0
demString = " ".join(dems)
outputPrefix = os.path.join(batchFolder, 'out-blend-' + str(index))
# See if we have a pre-existing DEM to use as footprint
footprintDEM = os.path.join(batchFolder, 'out-trans-footprint-DEM.tif')
blendOutput = outputPrefix + '-tile-0.tif'
if os.path.exists(footprintDEM):
cmd = ('dem_mosaic --weights-exponent %f --this-dem-as-reference %s %s %s -o %s'
% (WEIGHT_EXP, footprintDEM, demString, threadText, outputPrefix))
else:
cmd = ('dem_mosaic --weights-exponent %f --first-dem-as-reference %s %s -o %s'
% (WEIGHT_EXP, demString, threadText, outputPrefix))
if meanDiff > MEAN_DIFF_BLEND_THRESHOLD:
cmd += ' --propagate-nodata --use-centerline-weights '
print(cmd)
# Execute the blend command.
# - Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
print(cmd)
asp_system_utils.executeCommand(cmd, blendOutput, suppressOutput, localRedo)
filesToWipe.append(blendOutput)
diffPath = outputPrefix + "-diff.csv"
filesToWipe.append(diffPath)
# Compute post-blending error to lidar
cmd = ('geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, blendOutput, lidarFile, outputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, diffPath, suppressOutput, redo)
# Read in and examine the results
try:
results = icebridge_common.readGeodiffOutput(diffPath)
print("Current mean error to lidar is " + str(results['Mean']))
if bestMean > float(results['Mean']):
bestMean = float(results['Mean'])
bestBlend = blendOutput
bestVals = demString
bestDiff = diffPath
except Exception as e:
pass
logFiles = glob.glob(outputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
# Update the filenames of the output files
print("Best mean error to lidar is " + str(bestMean) + " when blending " + bestVals)
cmd = "mv " + bestBlend + " " + finalBlend
print(cmd)
asp_system_utils.executeCommand(cmd, finalBlend, suppressOutput, redo)
cmd = "mv " + bestDiff + " " + finalDiff
print(cmd)
asp_system_utils.executeCommand(cmd, finalDiff, suppressOutput, redo)
# Generate a thumbnail of the final DEM
hillOutput = finalOutputPrefix+'_HILLSHADE.tif'
cmd = 'hillshade ' + finalBlend +' -o ' + hillOutput
asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
# Generate a low resolution compressed thumbnail of the hillshade for debugging
thumbOutput = finalOutputPrefix + '_HILLSHADE_browse.tif'
cmd = 'gdal_translate '+hillOutput+' '+thumbOutput+' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
os.system("rm -f " + hillOutput) # Remove this file to keep down the file count
# Do another blend, to this DEM's footprint, but not using it
if fireballDEM != "":
# Find all the DEMs
dems = []
for val in range(0, len(frameOffsets)):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
demString = " ".join(dems)
cmd = ('dem_mosaic --weights-exponent %f --this-dem-as-reference %s %s %s -o %s'
% (WEIGHT_EXP, fireballDEM, demString, threadText, fireballOutputPrefix))
#filesToWipe.append(fireballBlendOutput)
print(cmd)
# Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
asp_system_utils.executeCommand(cmd, fireballBlendOutput, suppressOutput, localRedo)
#filesToWipe.append(fireballDiffPath)
cmd = ('geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, fireballBlendOutput, lidarFile, fireballOutputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, fireballDiffPath, suppressOutput, redo)
# Read in and examine the results
try:
results = icebridge_common.readGeodiffOutput(fireballDiffPath)
print("Mean error to lidar in fireball footprint is " + str(results['Mean']))
cmd = "mv " + fireballBlendOutput + " " + finalFireballOutput
print(cmd)
asp_system_utils.executeCommand(cmd, finalFireballOutput, suppressOutput, redo)
except Exception as e:
pass
# Generate a thumbnail of the final DEM
#hillOutput = fireballOutputPrefix+'_HILLSHADE.tif'
#cmd = 'hillshade ' + finalFireballOutput +' -o ' + hillOutput
#print(cmd)
#asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
## Generate a low resolution compressed thumbnail of the hillshade for debugging
#thumbOutput = fireballOutputPrefix + '_HILLSHADE_browse.tif'
#cmd = 'gdal_translate '+hillOutput+' '+thumbOutput+' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
#asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
#os.system("rm -f " + hillOutput) # Remove this file to keep down the file count
logFiles = glob.glob(fireballOutputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
# Done with dealing with the fireball footprint
# Clean up extra files
for fileName in filesToWipe:
if os.path.exists(fileName):
print("Removing: " + fileName)
os.system("rm -f " + fileName)
# TODO: Handle this cleanup better!
os.system('rm -f ' + meanWorkPrefix + '*')
except Exception as e:
print('Blending failed!\n' + str(e) + ". " + str(traceback.print_exc()))
sys.stdout.flush()
def runBlend(frame, processFolder, lidarFile, fireballDEM, options, threadText,
redo, suppressOutput):
WEIGHT_EXP = 1.3
# This will run as multiple processes. Hence have to catch all exceptions.
try:
demFile, batchFolder = icebridge_common.frameToFile(
frame, icebridge_common.alignFileName(), processFolder,
options.bundleLength)
lidarCsvFormatString = icebridge_common.getLidarCsvFormat(lidarFile)
if demFile == "":
print("Could not find DEM for frame: " + str(frame))
return
# The names for the final results
finalOutputPrefix = os.path.join(batchFolder, 'out-blend-DEM')
finalBlend = finalOutputPrefix + '.tif'
finalDiff = finalOutputPrefix + "-diff.csv"
fireballOutputPrefix = os.path.join(batchFolder,
'out-blend-fb-footprint')
fireballBlendOutput = fireballOutputPrefix + '-tile-0.tif'
finalFireballOutput = fireballOutputPrefix + '-DEM.tif'
fireballDiffPath = fireballOutputPrefix + "-diff.csv"
# This is turned off for now. Find the diff between neighboring
# aligned DEMs before blending.
prevDemFile, prevBatchFolder = \
icebridge_common.frameToFile(frame-1,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
prevDiffPrefix = os.path.join(batchFolder, 'out-prev')
prevDiffFile = prevDiffPrefix + '-diff.tif'
if options.computeDiffToPrev and redo and os.path.exists(prevDiffFile):
os.system("rm -f " + prevDiffFile)
if os.path.exists(prevDemFile) and os.path.exists(demFile):
if os.path.exists(prevDiffFile):
print("File exists: " + prevDiffFile)
else:
cmd = ('geodiff --absolute %s %s -o %s' %
(prevDemFile, demFile, prevDiffPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, prevDiffFile,
suppressOutput, redo)
if not redo:
set1Exists = False
if (os.path.exists(finalBlend) and os.path.exists(finalDiff)):
print("Files exist: " + finalBlend + " " + finalDiff + ".")
set1Exists = True
set2Exists = True
if fireballDEM != "":
if (os.path.exists(finalFireballOutput)
and os.path.exists(fireballDiffPath)):
print("Files exist: " + finalFireballOutput + " " +
fireballDiffPath + ".")
set2Exists = True
else:
set2Exists = False
if set1Exists and set2Exists:
return
# We will blend the dems with frame offsets within frameOffsets[0:index]
filesToWipe = []
bestMean = 1.0e+100
bestBlend = ''
bestVals = ''
bestDiff = ''
# Look at frames with these offsets when blending
frameOffsets = [0, 1, -1, 2, -2]
for index in range(len(frameOffsets)):
# Find all the DEMs up to the current index
dems = []
currDemFile = ""
for val in range(0, index + 1):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
if currDemFile == "":
# The last DEM was not present. Hence this iteration will add nothing new.
continue
# Compute the mean distance between the DEMs
# TODO: Make sure this gets cleaned up!
meanWorkPrefix = os.path.join(batchFolder, 'bd')
meanDiff = getMeanDemDiff(dems, meanWorkPrefix)
# If the mean error between DEMs is creater than this,
# use a less aggressive blending method.
MEAN_DIFF_BLEND_THRESHOLD = 1.0
demString = " ".join(dems)
outputPrefix = os.path.join(batchFolder, 'out-blend-' + str(index))
# See if we have a pre-existing DEM to use as footprint
footprintDEM = os.path.join(batchFolder,
'out-trans-footprint-DEM.tif')
blendOutput = outputPrefix + '-tile-0.tif'
if os.path.exists(footprintDEM):
cmd = (
'dem_mosaic --weights-exponent %f --this-dem-as-reference %s %s %s -o %s'
% (WEIGHT_EXP, footprintDEM, demString, threadText,
outputPrefix))
else:
cmd = (
'dem_mosaic --weights-exponent %f --first-dem-as-reference %s %s -o %s'
% (WEIGHT_EXP, demString, threadText, outputPrefix))
if meanDiff > MEAN_DIFF_BLEND_THRESHOLD:
cmd += ' --propagate-nodata --use-centerline-weights '
print(cmd)
# Execute the blend command.
# - Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
print(cmd)
asp_system_utils.executeCommand(cmd, blendOutput, suppressOutput,
localRedo)
filesToWipe.append(blendOutput)
diffPath = outputPrefix + "-diff.csv"
filesToWipe.append(diffPath)
# Compute post-blending error to lidar
cmd = (
'geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, blendOutput, lidarFile, outputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, diffPath, suppressOutput,
redo)
# Read in and examine the results
try:
results = icebridge_common.readGeodiffOutput(diffPath)
print("Current mean error to lidar is " + str(results['Mean']))
if bestMean > float(results['Mean']):
bestMean = float(results['Mean'])
bestBlend = blendOutput
bestVals = demString
bestDiff = diffPath
except Exception, e:
pass
logFiles = glob.glob(outputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
# Update the filenames of the output files
print("Best mean error to lidar is " + str(bestMean) +
" when blending " + bestVals)
cmd = "mv " + bestBlend + " " + finalBlend
print(cmd)
asp_system_utils.executeCommand(cmd, finalBlend, suppressOutput, redo)
cmd = "mv " + bestDiff + " " + finalDiff
print(cmd)
asp_system_utils.executeCommand(cmd, finalDiff, suppressOutput, redo)
# Generate a thumbnail of the final DEM
hillOutput = finalOutputPrefix + '_HILLSHADE.tif'
cmd = 'hillshade ' + finalBlend + ' -o ' + hillOutput
asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
# Generate a low resolution compressed thumbnail of the hillshade for debugging
thumbOutput = finalOutputPrefix + '_HILLSHADE_browse.tif'
cmd = 'gdal_translate ' + hillOutput + ' ' + thumbOutput + ' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
os.system("rm -f " +
hillOutput) # Remove this file to keep down the file count
# Do another blend, to this DEM's footprint, but not using it
if fireballDEM != "":
# Find all the DEMs
dems = []
for val in range(0, len(frameOffsets)):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, options.bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
demString = " ".join(dems)
cmd = (
'dem_mosaic --weights-exponent %f --this-dem-as-reference %s %s %s -o %s'
% (WEIGHT_EXP, fireballDEM, demString, threadText,
fireballOutputPrefix))
#filesToWipe.append(fireballBlendOutput)
print(cmd)
# Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
asp_system_utils.executeCommand(cmd, fireballBlendOutput,
suppressOutput, localRedo)
#filesToWipe.append(fireballDiffPath)
cmd = ('geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, fireballBlendOutput, lidarFile,
fireballOutputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, fireballDiffPath,
suppressOutput, redo)
# Read in and examine the results
try:
results = icebridge_common.readGeodiffOutput(fireballDiffPath)
print("Mean error to lidar in fireball footprint is " +
str(results['Mean']))
cmd = "mv " + fireballBlendOutput + " " + finalFireballOutput
print(cmd)
asp_system_utils.executeCommand(cmd, finalFireballOutput,
suppressOutput, redo)
except Exception, e:
pass
# Generate a thumbnail of the final DEM
#hillOutput = fireballOutputPrefix+'_HILLSHADE.tif'
#cmd = 'hillshade ' + finalFireballOutput +' -o ' + hillOutput
#print(cmd)
#asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
## Generate a low resolution compressed thumbnail of the hillshade for debugging
#thumbOutput = fireballOutputPrefix + '_HILLSHADE_browse.tif'
#cmd = 'gdal_translate '+hillOutput+' '+thumbOutput+' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
#asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
#os.system("rm -f " + hillOutput) # Remove this file to keep down the file count
logFiles = glob.glob(fireballOutputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
def runBlend(frame, processFolder, lidarFile, fireballDEM, bundleLength,
threadText, redo, suppressOutput):
# This will run as multiple processes. Hence have to catch all exceptions:
try:
demFile, batchFolder = icebridge_common.frameToFile(
frame, icebridge_common.alignFileName(), processFolder,
bundleLength)
lidarCsvFormatString = icebridge_common.getLidarCsvFormat(lidarFile)
if demFile == "":
print("Could not find DEM for frame: " + str(frame))
return
# The names for the final results
finalOutputPrefix = os.path.join(batchFolder, 'out-blend-DEM')
finalBlend = finalOutputPrefix + '.tif'
finalDiff = finalOutputPrefix + "-diff.csv"
fireballOutputPrefix = os.path.join(batchFolder,
'out-blend-fb-footprint')
fireballBlendOutput = fireballOutputPrefix + '-tile-0.tif'
finalFireballOutput = fireballOutputPrefix + '-DEM.tif'
fireballDiffPath = fireballOutputPrefix + "-diff.csv"
if not redo:
set1Exists = False
if (os.path.exists(finalBlend) and os.path.exists(finalDiff)):
print("Files exist: " + finalBlend + " " + finalDiff + ".")
set1Exists = True
set2Exists = True
if fireballDEM != "":
if (os.path.exists(finalFireballOutput)
and os.path.exists(fireballDiffPath)):
print("Files exist: " + finalFireballOutput + " " +
fireballDiffPath + ".")
set2Exists = True
else:
set2Exists = False
if set1Exists and set2Exists:
return
# We will blend the dems with frame offsets within frameOffsets[0:index]
filesToWipe = []
bestMean = 1.0e+100
bestBlend = ''
bestVals = ''
bestDiff = ''
# Look at frames with these offsets when blending
frameOffsets = [0, 1, -1, 2, -2]
for index in range(len(frameOffsets)):
# Find all the DEMs up to the current index
dems = []
currDemFile = ""
for val in range(0, index + 1):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
if currDemFile == "":
# The last DEM was not present. Hence this iteration will add nothing new.
continue
demString = " ".join(dems)
outputPrefix = os.path.join(batchFolder, 'out-blend-' + str(index))
# See if we have a pre-existing DEM to use as footprint
footprintDEM = os.path.join(batchFolder,
'out-trans-footprint-DEM.tif')
blendOutput = outputPrefix + '-tile-0.tif'
if os.path.exists(footprintDEM):
cmd = ('dem_mosaic --this-dem-as-reference %s %s %s -o %s' %
(footprintDEM, demString, threadText, outputPrefix))
#filesToWipe.append(footprintDEM) # no longer needed
else:
cmd = ('dem_mosaic --first-dem-as-reference %s %s -o %s' %
(demString, threadText, outputPrefix))
print(cmd)
# Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
asp_system_utils.executeCommand(cmd, blendOutput, suppressOutput,
localRedo)
filesToWipe.append(blendOutput)
diffPath = outputPrefix + "-diff.csv"
filesToWipe.append(diffPath)
cmd = (
'geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, blendOutput, lidarFile, outputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, diffPath, suppressOutput,
redo)
# Read in and examine the results
results = icebridge_common.readGeodiffOutput(diffPath)
print("Current mean error to lidar is " + str(results['Mean']))
if bestMean > float(results['Mean']):
bestMean = float(results['Mean'])
bestBlend = blendOutput
bestVals = demString
bestDiff = diffPath
logFiles = glob.glob(outputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
# Update the filenames of the output files
print("Best mean error to lidar is " + str(bestMean) +
" when blending " + bestVals)
cmd = "mv " + bestBlend + " " + finalBlend
print(cmd)
asp_system_utils.executeCommand(cmd, finalBlend, suppressOutput, redo)
cmd = "mv " + bestDiff + " " + finalDiff
print(cmd)
asp_system_utils.executeCommand(cmd, finalDiff, suppressOutput, redo)
# Generate a thumbnail of the final DEM
hillOutput = finalOutputPrefix + '_HILLSHADE.tif'
cmd = 'hillshade ' + finalBlend + ' -o ' + hillOutput
asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
# Generate a low resolution compressed thumbnail of the hillshade for debugging
thumbOutput = finalOutputPrefix + '_HILLSHADE_browse.tif'
cmd = 'gdal_translate ' + hillOutput + ' ' + thumbOutput + ' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
os.remove(hillOutput) # Remove this file to keep down the file count
# Do another blend, to this DEM's footprint, but not using it
if fireballDEM != "":
# Find all the DEMs
dems = []
for val in range(0, len(frameOffsets)):
offset = frameOffsets[val]
currDemFile, currBatchFolder = \
icebridge_common.frameToFile(frame + offset,
icebridge_common.alignFileName(),
processFolder, bundleLength)
if currDemFile == "":
continue
dems.append(currDemFile)
demString = " ".join(dems)
cmd = ('dem_mosaic --this-dem-as-reference %s %s %s -o %s' %
(fireballDEM, demString, threadText, fireballOutputPrefix))
#filesToWipe.append(fireballBlendOutput)
print(cmd)
# Sometimes there is junk left from a previous interrupted run. So if we
# got so far, recreate all files.
localRedo = True
asp_system_utils.executeCommand(cmd, fireballBlendOutput,
suppressOutput, localRedo)
#filesToWipe.append(fireballDiffPath)
cmd = ('geodiff --absolute --csv-format %s %s %s -o %s' %
(lidarCsvFormatString, fireballBlendOutput, lidarFile,
fireballOutputPrefix))
print(cmd)
asp_system_utils.executeCommand(cmd, fireballDiffPath,
suppressOutput, redo)
# Read in and examine the results
results = icebridge_common.readGeodiffOutput(fireballDiffPath)
print("Mean error to lidar in fireball footprint is " +
str(results['Mean']))
cmd = "mv " + fireballBlendOutput + " " + finalFireballOutput
print(cmd)
asp_system_utils.executeCommand(cmd, finalFireballOutput,
suppressOutput, redo)
# Generate a thumbnail of the final DEM
#hillOutput = fireballOutputPrefix+'_HILLSHADE.tif'
#cmd = 'hillshade ' + finalFireballOutput +' -o ' + hillOutput
#print(cmd)
#asp_system_utils.executeCommand(cmd, hillOutput, suppressOutput, redo)
## Generate a low resolution compressed thumbnail of the hillshade for debugging
#thumbOutput = fireballOutputPrefix + '_HILLSHADE_browse.tif'
#cmd = 'gdal_translate '+hillOutput+' '+thumbOutput+' -of GTiff -outsize 40% 40% -b 1 -co "COMPRESS=JPEG"'
#asp_system_utils.executeCommand(cmd, thumbOutput, suppressOutput, redo)
#os.remove(hillOutput) # Remove this file to keep down the file count
logFiles = glob.glob(fireballOutputPrefix + "*" + "-log-" + "*")
filesToWipe += logFiles
# Done with dealing with the fireball footprint
# Clean up extra files
for fileName in filesToWipe:
if os.path.exists(fileName):
print("Removing: " + fileName)
os.remove(fileName)
except Exception as e:
print('Blending failed!\n' + str(e) + ". " +
str(traceback.print_exc()))
sys.stdout.flush()