Gabe/lidarutils
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Added some extra logging lines, output filename now depends on input

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filename, moved function declarations to the top.
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gabriel venberg 2021-03-05 13:17:38 -06:00
parent 36e083eee0
commit 5c631c8ca3
1 changed files with 35 additions and 30 deletions
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65
outputHightMap.py
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@ -13,12 +13,45 @@ from PIL import Image
logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO)
def sort(array):
#sort by zDim column, first to last.
logging.debug(f'zDim sliced points is\n{array[:,zDim]}')
#the [::-1] reverses the resulting array, so that sortedPoints will be from biggest to smallest.
ind = np.argsort(array[:,zDim])[::-1]
sortedPoints = array[ind]
logging.debug(f'sortedPoints is\n{sortedPoints}')
return sortedPoints
def scale(array, xRange, yRange, maxX, maxY):
logging.debug(f'xRange is {xRange} and yRange is {yRange}')
xScale = maxX/xRange
yScale = maxY/yRange
scaledArray = sortedPoints[:, 0:3]
scaledArray[:,xDim]=scaledArray[:,xDim]-mins[xDim]
scaledArray[:,xDim]=scaledArray[:,xDim]*xScale
logging.debug(f'xmin in scaledArray is {scaledArray[:,xDim].min()}')
logging.debug(f'xmin in scaledArray is {scaledArray[:,xDim].max()}')
scaledArray[:,yDim]=scaledArray[:,yDim]-mins[yDim]
scaledArray[:,yDim]=scaledArray[:,yDim]*yScale
logging.debug(f'ymin in scaledArray is {scaledArray[:,yDim].min()}')
logging.debug(f'ymin in scaledArray is {scaledArray[:,yDim].max()}')
logging.debug(f'scaledArray is\n{scaledArray}')
return scaledArray
def isInxyRange(xMin, xMax, yMin, yMax, xVal, yVal):
return (xMin<=xVal) and (xVal<xMax) and (yMin<=yVal) and (yVal<yMax)
imgX=100
imgY=100
#TODO: make it iterate over multiple files.
inFile = sys.argv[1]
lasFile = laspy.file.File(inFile, mode = "r")
outFile = f'{imgX}*{imgY}{inFile}.png'
#import each dimention scaled.
x = lasFile.x
y = lasFile.y
@ -43,46 +76,18 @@ points = np.stack((x,y,z,intensity), axis=-1)
# [x,y,z,intensity]]
logging.debug(f'points is\n{points}')
logging.info(f'{points.shape[0]} points in LIDAR file.')
xRange = maxes[xDim]-mins[xDim]
yRange = maxes[yDim]-mins[yDim]
zRange = maxes[zDim]-mins[zDim]
def sort(array):
#sort by zDim column, first to last.
logging.debug(f'zDim sliced points is\n{array[:,zDim]}')
#the [::-1] reverses the resulting array, so that sortedPoints will be from biggest to smallest.
ind = np.argsort(array[:,zDim])[::-1]
sortedPoints = array[ind]
logging.debug(f'sortedPoints is\n{sortedPoints}')
return sortedPoints
sortedPoints = sort(points)
imageArray = np.zeros((imgX, imgY))
def scale(array, xRange, yRange, maxX, maxY):
logging.debug(f'xRange is {xRange} and yRange is {yRange}')
xScale = maxX/xRange
yScale = maxY/yRange
scaledArray = sortedPoints[:, 0:3]
scaledArray[:,xDim]=scaledArray[:,xDim]-mins[xDim]
scaledArray[:,xDim]=scaledArray[:,xDim]*xScale
logging.debug(f'xmin in scaledArray is {scaledArray[:,xDim].min()}')
logging.debug(f'xmin in scaledArray is {scaledArray[:,xDim].max()}')
scaledArray[:,yDim]=scaledArray[:,yDim]-mins[yDim]
scaledArray[:,yDim]=scaledArray[:,yDim]*yScale
logging.debug(f'ymin in scaledArray is {scaledArray[:,yDim].min()}')
logging.debug(f'ymin in scaledArray is {scaledArray[:,yDim].max()}')
logging.debug(f'scaledArray is\n{scaledArray}')
return scaledArray
scaledArray = scale(points, xRange, yRange, imgX, imgY)
def isInxyRange(xMin, xMax, yMin, yMax, xVal, yVal):
return (xMin<=xVal) and (xVal<xMax) and (yMin<=yVal) and (yVal<yMax)
for x in range(imgX):
for y in range(imgY):
if x==imgX:
@ -108,4 +113,4 @@ logging.debug(f'imageArray is {imageArray}')
heatMap = sns.heatmap(imageArray, center=((maxes[zDim]+mins[zDim])/2), square=True)
heatMapFig = heatMap.get_figure()
heatMapFig.savefig("output.png")
heatMapFig.savefig(outFile)