Yan Wang
I use the pre-trained DORN model. You can download it from https://github.com/hufu6371/DORN .
You can use my code to convert disparity to point clouds. https://github.com/mileyan/pseudo_lidar#convert-the-disparities-to-point-clouds
Update: Please add `--is_depth` in the command.
Thanks so much. I have update the code.
> when the mono depth image generate the point clouds, each need the camera calibration file. If using common other image out of KITTI there is no camera calibration file,...
Hi @RGH-NitinVijay , in my understanding, if you use your monocular images to do self-supervised learning, you don't have to generate the calibrations for every frame. You can just use...
Hi, thanks for your interest. AVOD and PIXOR are voxel-based methods. We have presented the results of them in our paper. Thanks for pointing it out. I haven't got a...
Hi, are you using pytorch 1.0?
I think you are right, I guess pytorch might change some of its C extension APIs in version 1.2. Now, this code only supports pytorch 0.4 or 1.0. I will...
Hi You can use this script to generate depth maps from point clouds https://github.com/mileyan/pseudo_lidar/blob/master/preprocessing/generate_disp.py. But you have to comment out this line https://github.com/mileyan/pseudo_lidar/blob/master/preprocessing/generate_disp.py#L25.