easyidp.pix4d.read_cicp

easyidp.pix4d.read_cicp(cicp_path)

Read *_pix4d_calibrated_internal_camera_parameters.cam for easyidp.reconstruct.Sensor object

Parameters:

cicp_path (str) – file path

Returns:

cicp_dict.keys() =
    ['F', 'Px', 'Py', 'K1', 'K2', 'K3', 'T1', 'T2', 'w_mm', 'h_mm']

Return type:

dict

Notes

It is the info about sensor, the file looks like:

Pix4D camera calibration file 0
#Focal Length mm assuming a sensor width of 17.49998592000000030566x13.12498944000000200560mm
F 15.01175404934517487732
#Principal Point mm
Px 8.48210511970419922534
Py 6.33434629978042273990
#Symmetrical Lens Distortion Coeffs
K1 0.03833474118270804865
K2 -0.01750917966495743258
K3 0.02049798716391852335
#Tangential Lens Distortion Coeffs
T1 0.00240851666319534747
T2 0.00292562392135245920

Example

Data prepare

>>> import numpy as np
>>> np.set_printoptions(suppress=True)

>>> import easyidp as idp
>>> test_data = idp.data.TestData()

>>> param_folder = str(test_data.pix4d.maize_folder / "1_initial" / "params")
>>> param = idp.pix4d.parse_p4d_param_folder(param_folder)

Then use this function:

>>> idp.pix4d.read_cicp(param['cicp'])
{
    'w_mm': 17.49998592,
    'h_mm': 13.124989440000002,
    'F': 15.011754049345175,
    'Px': 8.4821051197042,
    'Py': 6.334346299780423,
    'K1': 0.03833474118270805,
    'K2': -0.017509179664957433,
    'K3': 0.020497987163918523,
    'T1': 0.0024085166631953475,
    'T2': 0.002925623921352459
}