Gabe/lidarutils
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*changed info logging to print statements

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*fixed calculation of output files
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gabe venberg 2021-03-05 16:52:13 -06:00
parent 5c631c8ca3
commit 4d4a7e72b3
1 changed files with 12 additions and 7 deletions
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19
outputHightMap.py
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@ -5,13 +5,14 @@
# --output, -o, name of output file. if there are multiple input files, there will be a number prepended to this. # --output, -o, name of output file. if there are multiple input files, there will be a number prepended to this.
# after all comamnd line arguments, file or files(space seperated) to process. # after all comamnd line arguments, file or files(space seperated) to process.
import os.path
import numpy as np import numpy as np
import sys, argparse, laspy, logging import sys, argparse, laspy, logging
import seaborn as sns; sns.set_theme() import seaborn as sns; sns.set_theme()
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from PIL import Image from PIL import Image
logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO) logging.basicConfig(format='%(asctime)s:%(levelname)s:%(message)s', level=logging.INFO)
def sort(array): def sort(array):
#sort by zDim column, first to last. #sort by zDim column, first to last.
@ -43,14 +44,16 @@ def scale(array, xRange, yRange, maxX, maxY):
def isInxyRange(xMin, xMax, yMin, yMax, xVal, yVal): def isInxyRange(xMin, xMax, yMin, yMax, xVal, yVal):
return (xMin<=xVal) and (xVal<xMax) and (yMin<=yVal) and (yVal<yMax) return (xMin<=xVal) and (xVal<xMax) and (yMin<=yVal) and (yVal<yMax)
imgX=100 imgX=1000
imgY=100 imgY=1000
#TODO: make it iterate over multiple files. #TODO: make it iterate over multiple files.
inFile = sys.argv[1] inFile = os.path.realpath(sys.argv[1])
lasFile = laspy.file.File(inFile, mode = "r") lasFile = laspy.file.File(inFile, mode = "r")
outFile = f'{imgX}*{imgY}{inFile}.png' outFile = f'{os.path.dirname(inFile)}/{imgX}*{imgY}{os.path.basename(inFile)}.png'
print(f'outputing to {outFile}')
#import each dimention scaled. #import each dimention scaled.
x = lasFile.x x = lasFile.x
@ -76,7 +79,9 @@ points = np.stack((x,y,z,intensity), axis=-1)
# [x,y,z,intensity]] # [x,y,z,intensity]]
logging.debug(f'points is\n{points}') logging.debug(f'points is\n{points}')
logging.info(f'{points.shape[0]} points in LIDAR file.') print(f'{points.shape[0]} points in LIDAR file.')
#found experimentally.
print(f'estimated worst-case time is {points.shape[0]*7.77e-07*imgX*imgY} sec')
xRange = maxes[xDim]-mins[xDim] xRange = maxes[xDim]-mins[xDim]
yRange = maxes[yDim]-mins[yDim] yRange = maxes[yDim]-mins[yDim]
@ -107,7 +112,7 @@ for x in range(imgX):
zVal = scaledArray[i,zDim] zVal = scaledArray[i,zDim]
break; break;
imageArray[x,y]=zVal imageArray[x,y]=zVal
logging.info(f'zVal at {x},{y} is {zVal}') print(f'zVal at {x},{y} is {zVal}')
logging.debug(f'imageArray is {imageArray}') logging.debug(f'imageArray is {imageArray}')