Carlos Gómez Huélamo

Hi folks! I am exploring this world of XAI in order to adapt it to Motion Prediction for Autonomous Driving. My inputs are map features (such as lanes, nodes, etc.)...

Cannot import DCNv2

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I have cloned this repository, and then ./make.sh. However, once I try to import some .py, it shows: Cannot import DCN What can I do?

'NoneType' object is not callable

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When I try to run the code (the command included in this GitHub repo for 3D tracking): python demo.py tracking,ddd --load_model ../models/nuScenes_3Dtracking.pth --dataset nuscenes --pre_hm --track_thresh 0.1 --demo ../videos/nuscenes_mini.mp4 --test_focal_length...

Hi, this is an amazing content. I would like to filter my 2D signal to obtain both the velocity and acceleration at a time t, in order to estimate a...

Amazing work. How do you implement the multimodality in your decoder?

Hi, this is an amazing content. I would like to filter my 2D signal to obtain both the velocity and acceleration at a time t, in order to estimate a...

Amazing work. How do you implement the multimodality in your decoder?

At this moment I am including my multimodal predictions as following: pred_traj_fake_global_aux = pred_traj_fake_global.squeeze(0).view(ARGOVERSE_NUM_MODES, PRED_LEN, 2) output_all[seq_id] = pred_traj_fake_global_aux.cpu().numpy() Nevertheless, I would like to know how to include the confidences...

How can I get a high-resolution image of the whole map? (Both for Pittsburg and Miami) On the other hand, how can we know the center of the map?

How to get binary image around a specific point regarding the drivable area?

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Hi guys, Im trying to get a BEV rasterized map in a similar way to this:  I have seen several posts in this repo, as well as some map-api...