helper script for density and volume

helpers/density_and_volume_of_pc.py

+import argparse
+import laspy
+import numpy as np
+
+
+class DensityAndVolumeOfPc:
+    '''
+    This class is used to find the density of the pc
+    '''
+
+    def __init__(self, las_path)->None:
+        self.las_path = las_path
+
+    def __call__(self)->float:
+        '''
+        This function is used to find the density of the pc
+        '''
+        # load the point cloud
+        pc = laspy.read(self.las_path)
+
+        # get the points
+        points = np.vstack((pc.x, pc.y, pc.z)).transpose()
+
+        # get the bounding box
+        bounding_box = np.array([points.min(axis=0), points.max(axis=0)])
+
+        # get the volume of the bounding box
+        volume = np.prod(bounding_box[1] - bounding_box[0])
+
+        # get the number of points
+        n_points = points.shape[0]
+
+        # get the density
+        density = n_points / volume
+
+        # put desity and volume in a dictionary
+        dict = {
+            "density": density,
+            "volume": volume
+        }
+
+        return dict,
+
+
+if __name__ == "__main__":
+    # use argparse to get the arguments
+ 
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--las_path", type=str, default="")
+    args = parser.parse_args()
+
+    # run the main function 
+    density_and_volume_of_pc = DensityAndVolumeOfPc(
+        las_path = args.las_path
+    )
+
+    # print desity and volume in a nice way
+    out_dict = density_and_volume_of_pc()
+    print("Density: " + str(out_dict[0]["density"]))
+    print("Volume: " + str(out_dict[0]["volume"]))
+