added first pass of CLI options. can change output resoltion and output
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#! /usr/bin/env python3
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#! /usr/bin/env python3
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#command line arguments:
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#command line arguments:
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# --help, -h, outputs usage of the program
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# -x, -y, width and hight of the output image
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# -x, -y, outputs width and hight of the output image
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# --output, -o, name of output file. if there are multiple input files, there will be a number prepended to this.
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# --output, -o, name of output file. if there are multiple input files, there will be a number prepended to this.
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# after all comamnd line arguments, file or files(space seperated) to process.
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# after all comamnd line arguments, file or files(space seperated) to process.
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import os.path
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import os.path
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import numpy as np
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import numpy as np
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import sys, argparse, laspy, logging
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import sys, argparse, laspy, logging
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import seaborn as sns; sns.set_theme()
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import seaborn as sns; sns.set_theme()
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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from PIL import Image
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logging.basicConfig(format='%(asctime)s:%(message)s', level=logging.INFO)
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logging.basicConfig(format='%(asctime)s:%(message)s', level=logging.INFO)
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#logging.basicConfig(format='%(asctime)s:%(message)s', level=logging.DEBUG)
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#logging.basicConfig(format='%(asctime)s:%(message)s', level=logging.DEBUG)
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def parse_arguments():
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parser = argparse.ArgumentParser(description='create a top down hightmap from a LIDAR point file.')
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parser.add_argument('file', help='.las file to process.')
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parser.add_argument('-x', default=100, type=int, help='horizontal size (in cells) of the output image. Defaults to 100')
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parser.add_argument('-y', default=100, type=int, help='vertical size (in cells) if the output image. Defaults to 100')
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parser.add_argument('-o', '--output', help='name of output file. will default to [name of input file].png if not given.')
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args=parser.parse_args()
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imgX=args.x
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imgY=args.y
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inFile=args.file
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if args.output==None:
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outFile = f'{os.path.dirname(inFile)}/{os.path.basename(inFile)}.png'
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else:
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outFile=args.output
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print(f'outputing to {outFile}')
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def scale(array, desiredmaxX, desiredmaxY):
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def scale(array, desiredmaxX, desiredmaxY):
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logging.debug(f'xMax is {np.max(array[:,xDim])} and xMin is {np.min(array[:,xDim])}')
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logging.debug(f'xMax is {np.max(array[:,xDim])} and xMin is {np.min(array[:,xDim])}')
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logging.debug(f'yMax is {np.max(array[:,yDim])} and yMin is {np.min(array[:,yDim])}')
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logging.debug(f'yMax is {np.max(array[:,yDim])} and yMin is {np.min(array[:,yDim])}')
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@ -34,18 +52,11 @@ def scale(array, desiredmaxX, desiredmaxY):
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return array
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return array
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imgX=500
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imgY=500
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#TODO: make it iterate over multiple files.
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#TODO: make it iterate over multiple files.
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inFile = os.path.realpath(sys.argv[1])
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parse_arguments()
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lasFile = laspy.file.File(inFile, mode = 'r')
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outFile = f'{os.path.dirname(inFile)}/{imgX}*{imgY}{os.path.basename(inFile)}.png'
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print(f'outputing to {outFile}')
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#import each dimention scaled.
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#import each dimention scaled.
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lasFile=laspy.file.File(inFile, mode = 'r')
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z = lasFile.z
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z = lasFile.z
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x = lasFile.x
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x = lasFile.x
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y = lasFile.y
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y = lasFile.y
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@ -53,7 +64,7 @@ intensity = lasFile.intensity
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points = np.stack((z,x,y), axis=-1)
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points = np.stack((z,x,y), axis=-1)
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#dimention that will be z(top down) dimention in final heatmap. TODO: auto detect this based on dimention with least variance.
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#dimention that will be z(top down) dimention in final heatmap. TODO: auto detect this based on dimention with least variance, while being overridable on the command line.
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zDim=1
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zDim=1
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xDim=2
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xDim=2
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yDim=0
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yDim=0
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