easyidp.pix4d.read_pmat#
- easyidp.pix4d.read_pmat(pmat_path)#
read pix4d file
*_pmatrix.txt
- 参数:
pmat_path (str) – the path of pmatrix file.type
- 返回:
pmat_dict = { "DJI_0000.JPG": nparray(3x4), ... , "DJI_9999.JPG": nparray(3x4) }
- 返回类型:
dict
备注
The pmatrix.txt file looks like:
DJI_0954.JPG 3111.599161 -2366.736021 -2308.589802 -65840.192261 -2444.444098 -3031.331712 -1800.672677 18549.006987 0.005818 0.038647 -0.999236 31.851547 DJI_0955.JPG 2962.002548 -2547.748788 -2312.702452 -69244.748198 -2620.207260 -2895.573136 -1776.758596 27157.887214 0.003220 0.034307 -0.999406 31.293337 DJI_0956.JPG 3756.991075 -1038.548434 -2327.984283 -49670.339047 -1138.894683 -3738.320518 -1770.474397 -22001.847467 -0.015923 0.031981 -0.999362 31.327806 DJI_0957.JPG 3923.542113 562.037059 -2214.273525 -8825.859811 514.572422 -3880.691126 -1755.606046 -68101.592371 0.001783 0.022713 -0.999740 30.301800 ...
示例
Data prepare
>>> 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_pmat(param['pmat']) { 'DJI_0954.JPG': array([[ 3111.599161, -2366.736021, -2308.589802, -65840.192261], [ -2444.444098, -3031.331712, -1800.672677, 18549.006987], [ 0.005818, 0.038647, -0.999236, 31.851547]]), 'DJI_0955.JPG': array([...]) ... }