TypeError: init() missing 1 required positional argument: 'coord_type' in FCOS3D Model

Prerequisite

[X] I have searched Issues and Discussions but cannot get the expected help.
[X] I have read the FAQ documentation but cannot get the expected help.
[X] The bug has not been fixed in the latest version (dev-1.x) or latest version (dev-1.0).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

1.x branch https://github.com/open-mmlab/mmdetection3d/tree/dev-1.x

Environment

/home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/optim/optimizer/zero_optimizer.py:11: DeprecationWarning: TorchScript support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the torch.compile optimizer instead. from torch.distributed.optim import \ /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:47: FutureWarning: torch.cuda.amp.custom_fwd(args...) is deprecated. Please use torch.amp.custom_fwd(args..., device_type='cuda') instead. _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16) /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:97: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:163: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:243: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:332: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:369: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:389: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): /home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/spconv/pytorch/functional.py:412: FutureWarning: torch.cuda.amp.custom_bwd(args...) is deprecated. Please use torch.amp.custom_bwd(args..., device_type='cuda') instead. def backward(ctx, grad_output): sys.platform: linux Python: 3.8.19 (default, Mar 20 2024, 19:58:24) [GCC 11.2.0] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 4090 CUDA_HOME: /usr NVCC: Cuda compilation tools, release 12.4, V12.4.131 GCC: gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 PyTorch: 2.4.1 PyTorch compiling details: PyTorch built with:

GCC 9.3
C++ Version: 201703
Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v3.4.2 (Git Hash 1137e04ec0b5251ca2b4400a4fd3c667ce843d67)
OpenMP 201511 (a.k.a. OpenMP 4.5)
LAPACK is enabled (usually provided by MKL)
NNPACK is enabled
CPU capability usage: AVX512
CUDA Runtime 12.4
NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
CuDNN 90.1
Magma 2.6.1
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.4.1, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF,

TorchVision: 0.19.1 OpenCV: 4.10.0 MMEngine: 0.10.3 MMDetection: 3.3.0 MMDetection3D: 1.4.0+962f093 spconv2.0: True

Reproduces the problem - code sample

from mmdet3d.apis import init_model, inference_detector
import mmcv

def main():
    config_file = 'configs/fcos3d/fcos3d_r101-caffe-dcn_fpn_head-gn_8xb2-1x_nus-mono3d_finetune.py'
    checkpoint_file = 'checkpoints/fcos3d_r101_caffe_fpn_gn-head_dcn_2x8_1x_nus-mono3d_finetune_20210717_095645-8d806dc2.pth'

    # Init Model using Config and Checkpoint files
    model = init_model(config_file, checkpoint_file, device='cpu')

    # Local Image Oatg
    img = 'demo/data/nuscenes/n015-2018-07-24-11-22-45+0800__CAM_FRONT__1532402927612460.jpg'
    image = mmcv.imread(img)

    # Run inference
    result, data = inference_detector(model, image)

if __name__ == '__main__':
    main()

Reproduces the problem - command or script

the prevuois code is stored in a new file called inference.py and triggered using the command line. python inference.py

Reproduces the problem - error message

Traceback (most recent call last): File "inference.py", line 22, in main() File "inference.py", line 17, in main result, data = inference_detector(model, image) File "/home/irshaidh/mmdetection3d/mmdet3d/apis/inference.py", line 150, in inference_detector test_pipeline = Compose(test_pipeline) File "/home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 38, in init transform = TRANSFORMS.build(transform) File "/home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build return self.build_func(cfg, *args, kwargs, registry=self) File "/home/irshaidh/miniconda3/envs/openmmlab/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg obj = obj_cls(args) # type: ignore TypeError: init() missing 1 required positional argument: 'coord_type'

Additional information

I am using inference_detector and passing FCOS3D model with its config. What I'm trying to do here is to run this model and feed an image to it so I can do 3D object detection on new images. Right now, I keep getting this error TypeError: __init__() missing 1 required positional argument: 'coord_type' Is there any solution for this issue?

Thanks,

open-mmlab / mmdetection3d