def main():
'''
read data from file
'''
print('Reading files')
file1='F:/temp/Brisbane_2014_LGA_SW_502000_6965000_1K_Las.laz'
tic = time.perf_counter()
inFile1 = File(file1, mode='r')
toc = time.perf_counter()
print(f"{len(inFile1.points):d} records read from {file1:s} in {toc - tic:0.4f} seconds")
print('permuting data')
tic = time.perf_counter()
xvalues=inFile1.get_x_scaled()
yvalues=inFile1.get_y_scaled()
zvalues=inFile1.get_z_scaled()
tvalues=inFile1.get_gps_time()
pointclasses=inFile1.get_classification()
#tile lower left corner
originx, originy=502000,6965000
xoffset=randrange(-500000,500000)
yoffset=randrange(-500000,500000)
zoffset=randrange(-200,200)``
print("Frequency of unique values of the said array:")
print(np.asarray((unique_elements, counts_elements)))
src_ids = inFile.get_pt_src_id()
print("First number of returns:",num_returns[0])
unique_elements, counts_elements = np.unique(src_ids, return_counts=True)
print("Frequency of", "source ids", "of the said array:")
print(np.asarray((unique_elements, counts_elements)))
#get_scan_dir_flag()
flight_lines = inFile.get_edge_flight_line()
raw_classes = inFile.get_raw_classification()
classes = inFile.get_classification()
#scanner_channel = inFile.get_scanner_channel()
synthetics = inFile.get_synthetic()
key_points = inFile.get_key_point()
withehelds_points = inFile.get_withheld()
try:
overlap = inFile.get_overlap()
except laspy.util.LaspyException as err:
print("Overlap error: {0}".format(err))
#print(format(err))
if os.path.exists(bootstrap_dir) == False:
os.mkdir(bootstrap_dir)
figure_dir = os.path.join(args.outputdir, 'figure')
if os.path.exists(figure_dir) == False:
os.mkdir(figure_dir)
pickle_dir = os.path.join(args.outputdir, 'pickle')
if os.path.exists(pickle_dir) == False:
os.mkdir(pickle_dir)
### Loading data and filtering
print('\nLoading input file: %s'%args.inlas)
inFile = File(args.inlas, mode='r')
pc_xyzic = np.vstack((inFile.get_x()*inFile.header.scale[0]+inFile.header.offset[0], inFile.get_y()*inFile.header.scale[1]+inFile.header.offset[1], inFile.get_z()*inFile.header.scale[2]+inFile.header.offset[2], inFile.get_intensity(), inFile.get_classification())).transpose()
#pc_xyzic is now a point cloud with x, y, z, intensity, and classification
#if args.store_color == True:
# pc_i = inFile.get_intensity().copy()
# pc_blue = inFile.get_blue().copy()
# pc_green = inFile.get_green().copy()
# pc_red = inFile.get_red().copy()
print('Loaded %s points'%"{:,}".format(pc_xyzic.shape[0]))
if args.ground_only == True:
print('\nFiltering points to only work with ground points (class == 2)... ',end='\n')
#get only ground points:
idx_ground = np.where(pc_xyzic[:,4] == 2)[0]
pc_xyzig = pc_xyzic[idx_ground,0:4]
pc_xyzg = pc_xyzic[idx_ground,0:3]
#pc_xyzg is a point cloud with x, y, z, and for class == 2 only
def geninfo(tilename, ori, rec, validClasses):
tdata = OrderedDict()
tilecheckPassed = 'Passed'
print(tilename)
if os.path.isfile(ori) and os.path.isfile(rec):
'''
read data from file
'''
try:
oriFile = File(ori, mode='r')
recFile = File(rec, mode='r')
except:
print(f'File Corrupted : {tilename}')
tdata = {
"Classification": "None",
"Classification_Test": "None",
"Critical Failure - Unable to read file": "None",
"Version Test": "None",
"PDRF": "None",
"PDRF Test": "None",
"GlobalEncoding": "None",
"GlobalEncoding Test": "None",
"Number of points": "None",
"Number of points Tetst": "None",
"Points Test": "None",
"GPS times": "None",
"GPS Test": "None",
"Returns": "None",
"Returns Test": "None",
"Intensity": "None",
"Intensity Test": "None",
"Scale": "None",
"Scale Test": "None",
"Status": "Failed",
"Boundaries": "None",
"Boundary Test": "None"
}
return (True, tdata, 'None')
'''
create dataframe ori file
'''
#tic = time.perf_counter()
dataori = {}
dataori["points"] = pd.DataFrame(oriFile.points["point"])
dataori["points"].columns = (x.lower()
for x in dataori["points"].columns)
dataori["points"].loc[:, ["x", "y", "z"]] *= oriFile.header.scale
dataori["points"].loc[:, ["x", "y", "z"]] += oriFile.header.offset
dataori["header"] = oriFile.header
'''
create dataframe rec file
'''
datarec = {}
datarec["points"] = pd.DataFrame(recFile.points["point"])
datarec["points"].columns = (x.lower()
for x in datarec["points"].columns)
# rescale and offset
datarec["points"].loc[:, ["x", "y", "z"]] *= recFile.header.scale
datarec["points"].loc[:, ["x", "y", "z"]] += recFile.header.offset
datarec["header"] = recFile.header
#toc = time.perf_counter()
#print(f"data frame created in {toc - tic:0.4f} seconds")
# Header Information
############################################################
# version test
############################################################
o_version = oriFile.header.version
r_version = recFile.header.version
if o_version != r_version:
version_test = 'Failed'
tdata['Version'] = f'Ori - {o_version} Rec - {r_version}'
tdata['Version Test'] = 'Warning'
#print(f"Version test Failed for {tilename}")
tilecheckPassed = 'Warning'
else:
version_test = 'Passed'
tdata['Version'] = f'{o_version}'
tdata['Version Test'] = 'Passed'
#print(f"Version test Passed for {tilename}")
###########################################################
# Data Format ID testt (PDRF)
############################################################
o_pdrf = oriFile.header.data_format_id
r_pdrf = recFile.header.data_format_id
if o_pdrf != r_pdrf:
tdata['PDRF'] = f'Ori-{o_pdrf} Rec - {r_pdrf}'
tdata['PDRF Test'] = 'Failed'
tilecheckPassed = 'Warning'
else:
tdata['PDRF'] = f'{o_pdrf}'
tdata['PDRF Test'] = 'Passed'
###########################################################
# Global Engoding test
###########################################################
o_ge = oriFile.header.global_encoding
r_ge = recFile.header.global_encoding
if o_ge != r_ge:
tdata['GlobalEncoding'] = f'Ori-{o_ge} Rec - {r_ge}'
tdata['GlobalEncoding Test'] = 'Failed'
tilecheckPassed = 'Warning'
else:
tdata['GlobalEncoding'] = f'{o_ge}'
tdata['GlobalEncoding Test'] = 'Passed'
##########################################################
# Bounding Box Test
#########################################################
#check Min Max
recxmin = round(min(datarec["points"]["x"]), 3)
recymin = round(min(datarec["points"]["y"]), 3)
reczmin = round(min(datarec["points"]["z"]), 3)
recxmax = round(max(datarec["points"]["x"]), 3)
recymax = round(max(datarec["points"]["y"]), 3)
reczmax = round(max(datarec["points"]["z"]), 3)
#print(recxmin,recymin)
r_xmin = round(recFile.header.min[0], 3)
r_ymin = round(recFile.header.min[1], 3)
r_zmin = round(recFile.header.min[2], 3)
r_xmax = round(recFile.header.max[0], 3)
r_ymax = round(recFile.header.max[1], 3)
r_zmax = round(recFile.header.max[2], 3)
#print(r_xmin,r_ymin)
if recxmin != r_xmin or recymin != r_ymin:
tdata[
'Boundaries'] = f'Ori - min[{recxmin},{recymin},{reczmin}],max[{recxmax},{recymax},{reczmax}] Rec - min[{r_xmin},{r_ymin},{r_zmin}],max[{r_xmax},{r_ymax},{r_zmax}]'
tdata['Boundary Test'] = 'Failed'
tilecheckPassed = 'Warning'
else:
tdata[
'Boundaries'] = f'min[{recxmin},{recymin}],max[{recxmax},{recymax}]'
tdata['Boundary Test'] = 'Passed'
#########################################################
# Classification Test
#########################################################
#get classification
all_classes = set(list(range(0, 256)))
valid_classes = set(validClasses)
invalid_classes = all_classes - valid_classes
#print(invalid_classes)
#o_class = oriFile.get_classification()
r_class = recFile.get_classification()
check = list(invalid_classes.intersection(r_class))
if len(check) > 0:
tdata['Classification'] = check
tdata['Classification Test'] = 'Failed'
#print(f"Version test Failed for {tilename}")
tilecheckPassed = 'Failed'
else:
tdata['Classification'] = None
tdata['Classification Test'] = 'Passed'
###########################################################
# Number of points Test
##########################################################
o_len = len(dataori['points'])
r_len = len(datarec['points'])
if o_len != r_len:
tdata['Number of points'] = f'Ori - {o_len} Rec - {r_len}'
tdata['Number of Points Test'] = 'Failed'
print(f"Number of points test Failed for {tilename}")
tilecheckPassed = 'Failed'
else:
len_test = 'Passed'
tdata['Number of points'] = len(datarec['points'])
tdata['Number of Points Test'] = 'Passed'
#print(f"Number of points test Passed for {tilename}")
###########################################################
# Points Test
###########################################################
tic = time.perf_counter()
x0 = dataori['points']['x']
x1 = datarec['points']['x']
y0 = dataori['points']['y']
y1 = datarec['points']['y']
z0 = dataori['points']['z']
z1 = datarec['points']['z']
#print(x0.all()!=x1.all())
#print(y0.all()!=y1.all())
#print(z0.all()!=z1.all())
if x0.all() != x1.all() or y0.all() != y1.all() or z0.all() != z1.all(
):
tdata['Points Test'] = 'Failed'
toc = time.perf_counter()
print(f"Points test Failed - {toc - tic:0.4f} seconds")
tilecheckPassed = 'Failed'
else:
#print(f'{tilename} XYZ matched')
tdata['Points Test'] = 'Passed'
toc = time.perf_counter()
#print(f"Points test Passed - {toc - tic:0.4f} seconds")
#############################################################
# GPS time test
##############################################################
r_gps = [
min(datarec['points']['gps_time']),
max(datarec['points']['gps_time'])
]
o_gps = [
min(dataori['points']['gps_time']),
max(dataori['points']['gps_time'])
]
if o_gps != r_gps:
gps_test = 'Failed'
tdata['GPS times'] = f'Ori - {o_gps} Rec - {r_gps}'
tdata['GPS Test'] = 'Failed'
print(f"GPS Times test Failed for {tilename}")
tilecheckPassed = 'Failed'
else:
gps_test = 'Passed'
tdata['GPS times'] = r_gps
tdata['GPS Test'] = 'Passed'
#print(f"GPS Times test Passed for {tilename}")
###############################################################
# Intensity test
###############################################################
r_intensity = [
min(datarec['points']['intensity']),
max(datarec['points']['intensity'])
]
o_intensity = [
min(dataori['points']['intensity']),
max(dataori['points']['intensity'])
]
if o_intensity != r_intensity:
intensity_test = 'Failed'
tdata['Intensity'] = f'Ori - {o_intensity} Rec - {r_intensity}'
tdata['Intensity Test'] = 'Failed'
print(f"Intensity test Failed for {tilename}")
tilecheckPassed = 'Failed'
else:
intensity_test = 'Passed'
tdata['Intensity'] = f'{o_intensity}'
tdata['Intensity Test'] = 'Passed'
#print(f"Intensity test Passed for {tilename}")
###############################################################
# Scale test
################################################################
o_scale = oriFile.header.scale
r_scale = recFile.header.scale
#print(o_offscale,r_offscale)
if o_scale != r_scale:
tdata['Scale'] = f'Ori-{o_scale} Rec - {r_scale}'
tdata['Scale Test'] = 'Failed'
print(f"Scale test Failed for {tilename}")
tilecheckPassed = 'Failed'
else:
tdata['Scale'] = f'{o_scale}'
tdata['Scale Test'] = 'Passed'
#print(f"Offset_Scale test Passed for {tilename}")
##############################################################
# Returns test
#############################################################
o_returns = oriFile.get_return_num()
r_returns = recFile.get_return_num()
#nr0=oriFile.get_num_returns()
#nr1=recFile.get_num_returns()
#nr1=datarec['points']['number of returns']
if o_returns.all() != r_returns.all():
returns_test = 'Failed'
returns = [i for i, j in zip(o_returns, r_returns) if i != j]
tdata['Returns'] = f'Returns not matching {returns}'
tdata['Returns Test'] = 'Failed'
tilecheckPassed = 'Failed'
#print(f"Point Returns test Failed for {tilename}")
else:
returns_test = 'Passed'
tdata['Returns'] = f'{min(o_returns),max(o_returns)}'
tdata['Returns Test'] = 'Passed'
#print(f"Point Returns test Passed for {tilename}")
##returns=[i for i, j in zip(o_returns, r_returns) if i != j]
#print(returns)
tdata['Status'] = tilecheckPassed
return (True, tdata, 'None')
else:
print(f'One of the files could not be found for Tile {tilename}')
tdata = {
"Classification": "None",
"Classification_Test": "None",
"Version": "None",
"Version Test": "None",
"PDRF": "None",
"PDRF Test": "None",
"GlobalEncoding": "None",
"GlobalEncoding Test": "None",
"Number of points": "None",
"Number of points Tetst": "None",
"Points Test": "None",
"GPS times": "None",
"GPS Test": "None",
"Returns": "None",
"Returns Test": "None",
"Intensity": "None",
"Intensity Test": "None",
"Scale": "None",
"Scale Test": "None",
"Status": "None",
"Boundaries": "None",
"Boundary Test": "None"
}
return (True, tdata, 'None')
tic = time.perf_counter()
inFile1 = File(file1, mode='r')
toc = time.perf_counter()
print(f"{len(inFile1.points):d} records read from {file1:s} in {toc - tic:0.4f} seconds")
tic = time.perf_counter()
inFile2 = File(file2, mode='r')
toc = time.perf_counter()
print(f"{len(inFile2.points):d} records read from {file2:s} in {toc - tic:0.4f} seconds")
print('Creating voxels')
tic = time.perf_counter()
xvalues1=inFile1.get_x_scaled()
yvalues1=inFile1.get_y_scaled()
zvalues1=inFile1.get_z_scaled()
classvalues1=inFile1.get_classification()
vox1={}
for i in range(0, len(xvalues1)):
if i%10000==0:
print(i)
x=xvalues1[i]
y=yvalues1[i]
z=zvalues1[i]
key=(math.floor(x/voxelsize)*voxelsize,math.floor(y/voxelsize)*voxelsize,math.floor(z/voxelsize)*voxelsize)
if not key in vox1.keys():
vox1[key]={}
vox1[key]['x']=[]
vox1[key]['y']=[]
vox1[key]['z']=[]
