Numpy frame
Fetch the point cloud of a device as a numpy structured array.
This example will stop after 10 received frames.
#
# Copyright (c) 2020 Blickfeld GmbH.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE.md file in the root directory of this source tree.
#
from __future__ import print_function
import argparse
import numpy as np
import blickfeld_scanner
from blickfeld_scanner.protocol.config import scan_pattern_pb2
def fetch_numpy_frame(target):
"""Fetch the point cloud of a device as a numpy structued array.
This example will stop after 10 received frames.
:param target: hostname or IP address of the device
"""
device = blickfeld_scanner.scanner(target) # Connect to the device
# Create filter to filter points and returns by point attributes during the post-processing on the device.
point_filter = scan_pattern_pb2.ScanPattern().Filter()
point_filter.max_number_of_returns_per_point = 2 # Set max number of returns to 2. The default value is 1.
point_filter.delete_points_without_returns = True # Filter points with no returns. This reduces the dataset only to valid returns.
# Create a point cloud stream object
# The `as_numpy` flag enables the numpy support.
stream = device.get_point_cloud_stream(point_filter=point_filter, as_numpy=True)
for i in range(10):
frame, data = stream.recv_frame_as_numpy()
print("Frame", str(frame.id) + ":", data)
print("Size:", data.size, "Type:", data.dtype)
# Example for filtering the strucuted array
multiple_returns = data[np.argwhere(data['return_id'] > 0)]
print("Got %d multiple returns"% (len(multiple_returns)))
# Extract cartesian coordinates
x, y, z = (data['cartesian']['x'], data['cartesian']['y'], data['cartesian']['z'])
print(x, y, z)
print() # newline
stream.stop()
if __name__ == "__main__":
parser = argparse.ArgumentParser() # Command line argument parser
parser.add_argument("target", help="hostname or IP of scanner to connect to") # host name or IP address of the device
args = parser.parse_args() # Parse command line arguments
fetch_numpy_frame(args.target) # Start example