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mileyan/pseudo-LiDAR_e2e
How can I apply this method to get a sparse tensor?

@mileyan Thanks for your sharing. I can get a dense 3d voxel tensor(DxHxW grid) by the quantization method. But many detectors nowadays are designed to be applied to the sparse tensor which is the input ...
  • zyl1336110861
  • Opened 
    on Jan 3, 2022
  • #27

mileyan/pseudo-LiDAR_e2e
Implementation of bev_index, img_index

Hi, thank you for your great work. I want to ask for the functions of bev_index, img_index in your PIXOR implementation (https://github.com/mileyan/pseudo-LiDAR_e2e/blob/739263581ca8d59f2b269c9004c493aacae117e0/PIXOR/data/kitti_loader_lidar.py#L95). ...
  • ngoductuanlhp
  • Opened 
    on Dec 30, 2021
  • #26

mileyan/pseudo-LiDAR_e2e
Will PLUMENet open source?

Will PLUMENet open source?
  • Yzichen
  • Opened 
    on Dec 3, 2021
  • #25

mileyan/pseudo-LiDAR_e2e
code of RBF and subsampling

hi, i am comfuse about where the code of quantization and subsampling is. can you offer me the exact route of them?
  • mc171819
  • 1
  • Opened 
    on Aug 6, 2021
  • #24

mileyan/pseudo-LiDAR_e2e
Different mAP results

We used provided evaluation script and pretrained weights and results was less than provided in the paper with 5% ? and we noticed that this results was the same as the PL++, is the weights provided is ...
  • a-akram-98
  • 1
  • Opened 
    on Jul 11, 2021
  • #23

mileyan/pseudo-LiDAR_e2e
A function is not in the original model

https://github.com/mileyan/pseudo-LiDAR_e2e/blob/739263581ca8d59f2b269c9004c493aacae117e0/PointRCNN/depth_network/models/stackhourglass.py#L108 what is the purpose of warp function in the Pseudo Lidar ...
  • a-akram-98
  • 1
  • Opened 
    on Jul 5, 2021
  • #22

mileyan/pseudo-LiDAR_e2e
Pseudo-Lidar Generated point cloud

When I Generate Point Cloud using the code provided in PointRCNN or PIXOR, the point cloud is some how distorted and the labels not aligned with objects, In PseudoLidar++, there was a gdc (I think to correct ...
  • a-akram-98
  • 1
  • Opened 
    on May 17, 2021
  • #21

mileyan/pseudo-LiDAR_e2e
error while training

Traceback (most recent call last): File /content/pseudo-LiDAR_e2e/PointRCNN/tools/train_rcnn_depth.py , line 336, in module lr_scheduler_each_iter=(cfg.TRAIN.OPTIMIZER == adam_onecycle ) File /content/pseudo-LiDAR_e2e/PointRCNN/tools/../tools/train_utils/train_utils.py ...
  • mohamedgamal7
  • 1
  • Opened 
    on May 17, 2021
  • #20

mileyan/pseudo-LiDAR_e2e
RuntimeError: copy_if failed to synchronize: device-side assert triggered

Hi, I am interested in you work. But when I run the eval code of pseudo-LiDAR_e2e（PointRCNN ），I have encountered the following problem，could you help me? /opt/conda/conda-bld/pytorch_1579027003190/work/aten/src/ATen/native/cuda/IndexKernel.cu:60: ...
  • XiangZhou1
  • 2
  • Opened 
    on Apr 29, 2021
  • #19

mileyan/pseudo-LiDAR_e2e
CoR on BEV Based 3D Detection models

Hello :D how to use the approach of CoR on BEV Based 3D object detectors such as (Complex YOLO, SFA3D) should i use (quantization or sampling) or something else ?
  • AmrElsersy
  • 1
  • Opened 
    on Apr 28, 2021
  • #18
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