Open kerolos opened 8 years ago
Hello,
Yes it is the code that I used.
Regards, Stanislas On Sun, Oct 11, 2015 at 8:57 AM Kerolos ghobrial notifications@github.com wrote:
hello Stanislas,
Is that code related to this paper "Point-cloud multi-contact planning for humanoids: Preliminary results"
— Reply to this email directly or view it on GitHub https://github.com/stanislas-brossette/cloud-treatment-ecto/issues/1.
That code is used for the point cloud segmentation only. Not for the posture generation On Sun, Oct 11, 2015 at 9:31 AM Stanislas Brossette < stanislas.brossette@gmail.com> wrote:
Hello,
Yes it is the code that I used.
Regards, Stanislas On Sun, Oct 11, 2015 at 8:57 AM Kerolos ghobrial notifications@github.com wrote:
hello Stanislas,
Is that code related to this paper "Point-cloud multi-contact planning for humanoids: Preliminary results"
— Reply to this email directly or view it on GitHub https://github.com/stanislas-brossette/cloud-treatment-ecto/issues/1.
hello Stanislas, i have anther question. can you tell me the sequence of the cpp files ? because they were arranged in alphabet ? i want to implement your code in kinect v2 camera. i have depth data " pointclould2 " comes from iai_kinect2, i should use this data to execute your Algorithm. so i just want more declaration where can i start in your code. thanks in advance.
Hello, I am not sure what you mean by the sequence of cpp files. But the sequence of algorithm to use is described in the paper. To understand the code, I'd recommend that you take a look at the "ecto" documentation first http://plasmodic.github.io/ecto/. Then the general idea is that there are many "cells" implemented in c++, and you link them with a graph written in python. I recommend that you start by checking the file src/python/display_cloud.py along with PCDReaderCell and CloudViewerCell. Best Regards
hello Stanislas,
how can i run any of python files "which had been existed" ? i need just the command line. thanks for supporting.
BR, kerolos, Ghobrial.
hello Stanislas,
Is that code related to this paper "Point-cloud multi-contact planning for humanoids: Preliminary results"