Potree Example¶

This notebook demonstrates the Potree integration in anymap-ts.

Potree is a WebGL-based point cloud viewer for large-scale LiDAR datasets.

Note: You need a Potree-formatted point cloud dataset (converted from LAS/LAZ) to visualize.

In [ ]:

from anymap_ts import PotreeViewer

# Create a Potree viewer
viewer = PotreeViewer(
    point_budget=1000000, point_size=1.0, background="#1a1a2e", edl_enabled=True
)
viewer

from anymap_ts import PotreeViewer # Create a Potree viewer viewer = PotreeViewer( point_budget=1000000, point_size=1.0, background="#1a1a2e", edl_enabled=True ) viewer

In [ ]:

# Load a point cloud (replace with your Potree-formatted dataset URL)
# viewer.load_point_cloud(
#     url="path/to/pointcloud/cloud.js",
#     name="lidar_data",
#     point_size_type="adaptive",
#     shape="circle"
# )

# Load a point cloud (replace with your Potree-formatted dataset URL) # viewer.load_point_cloud( # url="path/to/pointcloud/cloud.js", # name="lidar_data", # point_size_type="adaptive", # shape="circle" # )

In [ ]:

# Adjust visualization settings
viewer.set_point_budget(2000000)  # Increase for more detail
viewer.set_point_size(1.5)

# Adjust visualization settings viewer.set_point_budget(2000000) # Increase for more detail viewer.set_point_size(1.5)

In [ ]:

# Adjust Eye Dome Lighting
viewer.set_edl(enabled=True, radius=1.8, strength=0.5)

# Adjust Eye Dome Lighting viewer.set_edl(enabled=True, radius=1.8, strength=0.5)

In [ ]:

# Set camera position
viewer.set_camera_position(0, 0, 100)
viewer.set_camera_target(0, 0, 0)

# Set camera position viewer.set_camera_position(0, 0, 100) viewer.set_camera_target(0, 0, 0)

In [ ]:

# Add measurement tool
# viewer.add_measurement_tool("distance")

# Add measurement tool # viewer.add_measurement_tool("distance")

In [ ]:

# Add annotation
viewer.add_annotation(
    position=(10, 20, 30),
    title="Point of Interest",
    description="This is an important location",
)

# Add annotation viewer.add_annotation( position=(10, 20, 30), title="Point of Interest", description="This is an important location", )

In [ ]:

# Export to HTML
viewer.to_html("potree_example.html")

# Export to HTML viewer.to_html("potree_example.html")