betogulliver
betogulliver
> > Great suggestion. We will consider adding this feature in the future but currently, we may not have enough resources to support it very soon. You can refer to...
I could fixed the problem above as follows : ``` numpy_pc2.py:134 before (NG) : cloud_arr = np.fromstring(cloud_msg.data, dtype_list) after (OK) : cloud_arr = np.fromstring(cloud_msg.data.tobytes(), dtype_list) ```
We are pretty interested in evaluating your algorithm/approach. Any news about making the code public anytime soon? Looking forward to it! thanks in advance
thanks for the update and for horizonator! I'll ask Kyle for details.
I tried to contact Kyle. unfortunatelly no response (yet). anyone else?
thanks for asking. I'm trying to use data from here: https://astrogeology.usgs.gov/search/map/mars_mgs_mola_mex_hrsc_blended_dem_global_200m 11GB and before downloading it I wonder is this will (with minor adaptations) serve as good input for 'horizonator'....
thanks for the update. I'll then try to make the above (11GB) data work for horizonator.
I got the same error using tools/train.py (not dist_train.sh) I'm using torch.2.1.2 version: RuntimeError: grad can be implicitly created only for scalar outputs any idea how to solve the problem?...