recordings = Recordings(connection)
# Select the demo city of Rotterdam
recording = next(Recording.query(
recordings, directory_like="Rotterdam360\\\\Ladybug5plus"))
recordings.get_setup(recording)
print(recording, " -> ", recording.directory)
print(recording.setup)
# Step 1. create and configure spherical camera
sp_camera = SphericalCamera()
sp_camera.set_network_client(client)
# Step 2. Get a recorded frame and place the camera onto that 'frame'
frames = Frames(connection)
results = Frame.query(frames, recordingid=recording.id,
index=210, order_by="index",)
# step 3. do some sight seeing..
# This sections hardcodes looking at points of interest, which
# normally would come from image processing or AI tooling.
class Poi():
"""Describes and labels a point of interest within the image """
pixel: Pixel
name: str
yaw: float
pitch: float
def __init__(self, pixel, name, yaw, pitch) -> None:
self.name = name
"Azimuth",
"Latitude",
"Longitude",
"Pitch",
"Roll",
"Stamp"
]
# Open output csv file
with open(os.path.join(output_path, 'output.csv'), 'w', newline='') as csvfile:
writer = csv.writer(csvfile, quoting=csv.QUOTE_MINIMAL)
writer.writerow(csv_header)
# Get frames
results = Frame.query(frames, recordingid=recording_id, order_by="index",)
if args.limit:
results = itertools.islice(results, args.limit)
for frame in results:
if frame is None:
print("No frames!")
exit()
print(frame)
# Get the image
# Set parameters
request_builder = ImageRequestBuilder(frame.recordingid, frame.uuid)
for direction_id, direction in directions.items():
request = client.fetch(request_builder.build_spherical(
size, direction, horizontal_fov))