open-mmlab
AttributeError: 'ConfigDict' object has no attribute 'data', KeyError: 'data'
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
main branch https://github.com/open-mmlab/mmdetection3d
Environment
sys.platform: win32 Python: 3.8.19 (default, Mar 20 2024, 19:55:45) [MSC v.1916 64 bit (AMD64)] CUDA available: True MUSA available: False numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 3070 Laptop GPU CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8 NVCC: Cuda compilation tools, release 11.8, V11.8.89 MSVC: Microsoft (R) C/C++ Optimizing Compiler Version 19.39.33523 for x64 GCC: n/a PyTorch: 2.0.0 PyTorch compiling details: PyTorch built with:
- C++ Version: 199711
- MSVC 193431937
- Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v2.7.3 (Git Hash 6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)
- OpenMP 2019
- LAPACK is enabled (usually provided by MKL)
- CPU capability usage: AVX2
- CUDA Runtime 11.8
- NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-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;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.7
- Magma 2.5.4
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=C:/cb/pytorch_1000000000000/work/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /w /bigobj /FS -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=OFF, TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, USE_ROCM=OFF,
TorchVision: 0.15.0 OpenCV: 4.10.0 MMEngine: 0.10.4 MMDetection: 3.3.0 MMDetection3D: 1.4.0+962f093 spconv2.0: False
Reproduces the problem - code sample
I used the built in methods in following field is command:
Reproduces the problem - command or script
python ./tools/misc/visualize_results.py ./configs/base/datasets/kitti-3d-3class.py --result C:\Users\danie\AppData\Local\Temp\tmpyz7mcakv\results\pred_instances_3d.pkl --show-dir ./outputs/test
Reproduces the problem - error message
Traceback (most recent call last): File "E:\Conda\envs\mmdet3d_env\lib\site-packages\mmengine\config\config.py", line 109, in getattr value = super().getattr(name) File "E:\Conda\envs\mmdet3d_env\lib\site-packages\addict\addict.py", line 67, in getattr return self.getitem(item) File "E:\Conda\envs\mmdet3d_env\lib\site-packages\mmengine\config\config.py", line 138, in getitem return self.build_lazy(super().getitem(key)) File "E:\Conda\envs\mmdet3d_env\lib\site-packages\mmengine\config\config.py", line 105, in missing raise KeyError(name) KeyError: 'data'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./tools/misc/visualize_results.py", line 50, in
Additional information
I am using dataset kitty, but I have a problems with whole visualization procedure, also when I ran test on 3dssd model, I was not able to use atrribute --show to display whats happening.
Hello, as I remember not all models have support for visualization on pictures or so.. some of them use only lidar data not whole dataset... It was long ago, but you must go trough config file and see how is the model configured, trained and what will be the output.
Hello,
Thank you for the information
I am already train my model in mvxnet in mmdetection3d
And browser.py is work but problem in only visualisation is there any other way to visualise my results?
Thank you
On Tue, Apr 1, 2025 at 14:11 BaroRai @.***> wrote:
Hello, as I remember not all models have support for visualization on pictures or so.. some of them use only lidar data not whole dataset... It was long ago, but you must go trough config file and see how is the model configured, trained and what will be the output.
— Reply to this email directly, view it on GitHub https://github.com/open-mmlab/mmdetection3d/issues/3008#issuecomment-2769155264, or unsubscribe https://github.com/notifications/unsubscribe-auth/BNMK4A7QQYQHDVZ4T7DBZVT2XJ7A5AVCNFSM6AAAAABK2D5456VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDONRZGE2TKMRWGQ . You are receiving this because you commented.Message ID: @.***> [image: BaroRai]BaroRai left a comment (open-mmlab/mmdetection3d#3008) https://github.com/open-mmlab/mmdetection3d/issues/3008#issuecomment-2769155264
Hello, as I remember not all models have support for visualization on pictures or so.. some of them use only lidar data not whole dataset... It was long ago, but you must go trough config file and see how is the model configured, trained and what will be the output.
— Reply to this email directly, view it on GitHub https://github.com/open-mmlab/mmdetection3d/issues/3008#issuecomment-2769155264, or unsubscribe https://github.com/notifications/unsubscribe-auth/BNMK4A7QQYQHDVZ4T7DBZVT2XJ7A5AVCNFSM6AAAAABK2D5456VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDONRZGE2TKMRWGQ . You are receiving this because you commented.Message ID: @.***>
Honestly, I dont really know, I didnt use mmdetection almost 7 months now. But if its not very Secret, I am interested in your results.