centerformer
centerformer copied to clipboard
TuSimple
Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)
Thanks for your great work and opensource, I have a question about the coordinate transformation. I have checked the code, you have transformed the previous pointclouds to current frame coordinate...
Hi, thanks for sharing code. I am leaving an issue since I have trouble on running your code. I run a code without ddp `python ./tools/train.py ./configs/nusc/nuscenes_centerformer_separate_detection_head.py`, `sh setup.sh` works...
Thanks for you fantastic work. I'm so interested in this project. But I can not get your AP&NDS on nuScenes. Could u upload your training result on nuScenes? I wanna...
If yes, what shape is it in?
Hello, I found that you used ChannelAttention and SpatialAttention in your code to replace the cross attention used by the cross attention layer mentioned in original paper, which was done...
It seems like the configuration: "use_rotate_nms = False, use_multi_class_nms = True" cannot remove all redundant boxes and there are still lots of boxes at the same position. Is this normal?...
Hello，when I execute the setup. sh file, there is an error： /usr/local/cuda-11.5/bin/nvcc -I/root/anaconda3/envs/centerformer/lib/python3.9/site-packages/torch/include -I/root/anaconda3/envs/centerformer/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/root/anaconda3/envs/centerformer/lib/python3.9/site-packages/torch/include/TH -I/root/anaconda3/envs/centerformer/lib/python3.9/site-packages/torch/include/THC -I/usr/local/cuda-11.5/include -I/root/anaconda3/envs/centerformer/include/python3.9 -c src/iou3d_nms_kernel.cu -o build/temp.linux-x86_64-cpython-39/src/iou3d_nms_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -O2...
Has anyone tried torch.cuda.amp? Seems that ms_attention doesn't support fp16 even after I modified ms_deform_attn_forward_cuda Any other way to implement amp? Or is there any ways to reduce the GPU...
I ran the code as written on github. However, after a certain point, the loss is all Nan. I think it's a loss of the dataset, so I recreated the...
Hello, I would like to know that is there any specific reason for using task_id along with x_coor, y_coor while creating pos_embedding ? if self.pos_embedding_type == "linear": if len(self.tasks)>1: self.pos_embedding...
