Closed mohana-pamidi closed 1 year ago
Please take a look at savemat
& loadmat
functions from the scipy packages.
https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.savemat.html
Note that we use the loadmat
function to load the tangoPoints.mat
file in the load_tango_3d_keypoints
function of src/utils/utils.py
.
Thank you! It worked now. I tried installing the dependencies, however, I am getting an error message about not being able to build wheels for numpy. I made sure that the Python and numpy versions were compatible, however I have been getting the same error.
You'll have to provide more information for me to help you run the code. Which OS are you using? Are you making a new environment using venv
or conda
with appropriate python version (3.7)?
Also please note that our repository was tested working on Ubuntu 20.04 only - it is up to primarily end users to set it up for different operating systems.
Yes, I am using Ubuntu 20.04 for Linux.
I have run preprocess.py and tried to test, however, I am getting the error that
"assert points_3D.shape[0] == points_2D.shape[0], 'points 3D and points 2D must have same number of vertices'"
I do not understand why this error was coming up. Was it because the tangoPoints mat was not formatted correctly?
Please include the entire error trace in the future.
The error comes from the pnp
function in utils/utils.py
(line 250). What are the shapes of points_3D
and points_2D
? Note that for KRN, both should have 11 keypoints.
Closing due to no activity
I am a beginner so I am not quite understanding how to make this 3 x 11 array. Do we need to use matlab? Please let me know the proper and exact format to make this .mat file. I already have the keypoints collected, so do I write it as an array in notepad and save it as a .mat file? I tried doing this and this is the error I am getting:
Traceback (most recent call last): File "C:\Users...\GitHub\speedplusbaseline\preprocess.py", line 169, in
json2csv(cfg)
File "C:\Users...\GitHub\speedplusbaseline\preprocess.py", line 82, in json2csv
keypts3d = load_tango_3d_keypoints(tango3dmodelfile) # (11, 3) [m]
File "C:\Users...\GitHub\speedplusbaseline\src\utils\utils.py", line 274, in load_tango_3d_keypoints
vertices = loadmat(matdir)['tango3Dpoints'] # [3 x 11]
File "C:\Users...\AppData\Local\Programs\Python\Python39\lib\site-packages\scipy\io\matlab\mio.py", line 225, in loadmat
MR, = mat_reader_factory(f, **kwargs)
File "C:\Users...\AppData\Local\Programs\Python\Python39\lib\site-packages\scipy\io\matlab\mio.py", line 74, in mat_reader_factory
mjv, mnv = get_matfile_version(byte_stream)
File "C:\Users...\AppData\Local\Programs\Python\Python39\lib\site-packages\scipy\io\matlab\miobase.py", line 231, in get_matfile_version
raise ValueError('Unknown mat file type, version %s, %s' % ret)
ValueError: Unknown mat file type, version 46, 52