This Python package is BUilding Footprint Extractor Test
This of example of an how you can run your code
```python
import LasBuildSeg as lasb
import numpy as np
# Define input parameters
input_laz = '<input>.laz' # Path to the input laz/las data file
epsg_code = <epsg_code> # EPSG code of the input laz data
multy = <DTM non-ground multipalction number> # Multiplication factor for DSM height enhancement
intermethod = '<interpolation method>' # Interpolation method ('cubic', 'nearest', or 'linear')
# Define default parameter values
constant = 3.6 # Adaptive threshold constant
block_size = 51 # Adaptive threshold block size
kernel_size = 3 # Morphological open kernel size
tri_threshold = 3 # Terrain Ruggedness Index threshold
# Define contour filtering parameters
min_size = 35
max_size = 5000
squareness_threshold = 0.3
width_threshold = 3
height_threshold = 3
CloseKernel_size = 15
# Generate DSM and DTM
lasb.generate_dsm(input_laz, epsg_code, intermethod)
lasb.generate_dtm(input_laz, epsg_code, intermethod, multy)
# Generate NDHM
lasb.generate_ndhm('dtm.tif', 'dsm.tif')
# Read NDHM image and profile
img, profile = lasb.read_geotiff('ndhm.tif')
# Transform DSM
lasb.DSM_transform('dsm.tif')
# Read transformed DSM and profile
dem, _ = lasb.read_geotiff('dsm3857.tif')
# Convert image to 8-bit
img_8bit = lasb.to_8bit(img)
# Apply adaptive thresholding
img_thresh = lasb.threshold(img_8bit, block_size, constant)
# Apply morphological opening
img_open = lasb.morph_open(img_thresh, kernel_size)
# Filter contours without TRI
building_mask=lasb.filter_contours(img_open, dem, profile, min_size, max_size, squareness_threshold, width_threshold, height_threshold, tri_threshold)
# Apply morphological closing
building_mask_closed = lasb.close(building_mask, CloseKernel_size)
# Write building mask to GeoTIFF
lasb.write_geotiff('buildings.tif', building_mask_closed, profile)
# Convert building mask to GeoJSON
lasb.building_footprints_to_geojson('buildings.tif', 'building.geojson')
# Print completion message
print('All steps are complete.')
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"description": "This Python package is BUilding Footprint Extractor Test\r\n\r\nThis of example of an how you can run your code\r\n\r\n```python\r\nimport LasBuildSeg as lasb\r\nimport numpy as np\r\n\r\n# Define input parameters\r\ninput_laz = '<input>.laz' # Path to the input laz/las data file\r\nepsg_code = <epsg_code> # EPSG code of the input laz data\r\nmulty = <DTM non-ground multipalction number> # Multiplication factor for DSM height enhancement\r\nintermethod = '<interpolation method>' # Interpolation method ('cubic', 'nearest', or 'linear')\r\n\r\n# Define default parameter values\r\nconstant = 3.6 # Adaptive threshold constant\r\nblock_size = 51 # Adaptive threshold block size\r\nkernel_size = 3 # Morphological open kernel size\r\ntri_threshold = 3 # Terrain Ruggedness Index threshold\r\n\r\n# Define contour filtering parameters\r\nmin_size = 35\r\nmax_size = 5000\r\nsquareness_threshold = 0.3\r\nwidth_threshold = 3\r\nheight_threshold = 3\r\nCloseKernel_size = 15\r\n\r\n# Generate DSM and DTM\r\nlasb.generate_dsm(input_laz, epsg_code, intermethod)\r\nlasb.generate_dtm(input_laz, epsg_code, intermethod, multy)\r\n\r\n# Generate NDHM\r\nlasb.generate_ndhm('dtm.tif', 'dsm.tif')\r\n\r\n# Read NDHM image and profile\r\nimg, profile = lasb.read_geotiff('ndhm.tif')\r\n\r\n# Transform DSM\r\nlasb.DSM_transform('dsm.tif')\r\n\r\n# Read transformed DSM and profile\r\ndem, _ = lasb.read_geotiff('dsm3857.tif')\r\n\r\n# Convert image to 8-bit\r\nimg_8bit = lasb.to_8bit(img)\r\n\r\n# Apply adaptive thresholding\r\nimg_thresh = lasb.threshold(img_8bit, block_size, constant)\r\n\r\n# Apply morphological opening\r\nimg_open = lasb.morph_open(img_thresh, kernel_size)\r\n\r\n# Filter contours without TRI\r\nbuilding_mask=lasb.filter_contours(img_open, dem, profile, min_size, max_size, squareness_threshold, width_threshold, height_threshold, tri_threshold)\r\n\r\n# Apply morphological closing\r\nbuilding_mask_closed = lasb.close(building_mask, CloseKernel_size)\r\n\r\n# Write building mask to GeoTIFF\r\nlasb.write_geotiff('buildings.tif', building_mask_closed, profile)\r\n\r\n# Convert building mask to GeoJSON\r\nlasb.building_footprints_to_geojson('buildings.tif', 'building.geojson')\r\n\r\n# Print completion message\r\nprint('All steps are complete.')\r\n",
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