3detr
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Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
In function loss_size, the "gt_box_sizes" is scaled by point_cloud_dims on the scale of 0 to ∞ while the "pred_box_sizes" is scaled into (0, 1) by sigmoid. F.l1_loss is used to...
This may be a problem with incomplete uploaded code when running scripts/sunrgbd_ep1080.sh. This same as line4 in scripts/sunrgbd_ep1080.sh without a "\\".
I wonder if you get 'nan' when using position embedding. Thanks.
utils > eval_det > box3d_iou. please   the box corners are generated by my_compute_box_3d function
In their [recent paper](https://arxiv.org/abs/2203.10314) on a "Voxel Set Transformer", He et al. mention that 3DETR can only be applied to indoor datasets: > 3DETR present a promising solution by computing...
Minor updates to fix below error: File "~/repo/3detr/models/model_3detr.py", line 208, in run_encoder enc_inds = torch.gather(pre_enc_inds.type(torch.int64), 1, enc_inds) RuntimeError: gather_out_cuda(): Expected dtype int64 for index
Would this operation leads to performance drop? or because of the computational cost?
Dear author: At present, I have a batch of data sets to do 3D point cloud detection called center,which does not need to be classified, but only need to identify...
Hi, Do you plan to share the code for visualizing the encoder/decoder attention? Regards, Rishabh
Hi, thanks for the good research. I have a question about offset. Predicted offset value is in [-0.5, 0.5]. But when sampled query_xyzs have minimum distance 10 beween them, predicted...