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sample_calibrate_eye_to_hand.py
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"""Hand-eye calibration sample."""
from pathlib import Path
import datetime
import tempfile
import numpy as np
import zivid
def _acquire_checkerboard_frame(camera):
print("Capturing checkerboard image... ")
suggest_settings_parameters = zivid.capture_assistant.SuggestSettingsParameters(
max_capture_time=datetime.timedelta(milliseconds=1200),
ambient_light_frequency=zivid.capture_assistant.SuggestSettingsParameters.AmbientLightFrequency.none,
)
settings = zivid.capture_assistant.suggest_settings(
camera, suggest_settings_parameters
)
return camera.capture_2d_3d(settings)
def _enter_robot_pose(index):
inputted = input(
"Enter pose with id={} (a line with 16 space separated values describing 4x4 row-major matrix):".format(
index
)
)
elements = inputted.split(maxsplit=15)
data = np.array(elements, dtype=np.float64).reshape((4, 4))
robot_pose = zivid.calibration.Pose(data)
print("The following pose was entered:\n{}".format(robot_pose))
return robot_pose
def _main():
app = zivid.Application()
with app.connect_camera() as camera:
current_pose_id = 0
calibration_inputs = []
calibrate = False
while not calibrate:
command = input(
"Enter command, p (to add robot pose) or c (to perform calibration):"
).strip()
if command == "p":
try:
robot_pose = _enter_robot_pose(current_pose_id)
frame = _acquire_checkerboard_frame(camera)
print("Detecting checkerboard square centers... ")
result = zivid.calibration.detect_feature_points(
frame.point_cloud()
)
if result:
print("OK")
res = zivid.calibration.HandEyeInput(robot_pose, result)
calibration_inputs.append(res)
current_pose_id += 1
else:
print("FAILED")
except ValueError as ex:
print(ex)
elif command == "c":
calibrate = True
else:
print("Unknown command '{}'".format(command))
print("Performing hand-eye calibration...")
calibration_result = zivid.calibration.calibrate_eye_to_hand(calibration_inputs)
if calibration_result:
print("OK")
print("Result:\n{}".format(calibration_result))
else:
print("FAILED")
print("Getting calibration result transformation matrix")
transformed_numpy_matrix = calibration_result.transform()
print("Saving calibration result transformation matrix")
with tempfile.TemporaryDirectory() as tempdir:
file_path = Path(tempdir) / "hand_eye.yml"
zivid.Matrix4x4(transformed_numpy_matrix).save(file_path)
if __name__ == "__main__":
_main()