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error while test the mvxnet

Open markwave opened this issue 2 years ago • 17 comments

Branch

main branch https://mmdetection3d.readthedocs.io/en/latest/

📚 The doc issue

i use the command "python tools/test.py configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py
checkpoints/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class-8963258a.pth
--show-dir ./data/mvxnet/show_results" to test the mvxnet, and a error happen:"AssertionError: got unexpected vis_task None." then I add the command --task multi-view_det ,it runs but the final result shows all AP result are 0.0, so how to test the mvx model correctly?

"

Suggest a potential alternative/fix

No response

markwave avatar Jun 10 '23 03:06 markwave

and test the pointpillar model using the command:"python tools/test.py configs/pointpillars/pointpillars_hv_secfpn_8xb6-160e_kitti-3d-car.py checkpoints/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car_20220331_134606-d42d15ed.pth --show --show-dir ./data/pointpillar/show_results ", the error"UnboundLocalError: local variable 'img_path' referenced before assignment" happen, how to solve it

markwave avatar Jun 10 '23 03:06 markwave

-task multi-view_det ,it runs but the final result shows all AP result are 0.0, Have you solve this problem? I also encounter this error

WuYanXingege avatar Jun 21 '23 03:06 WuYanXingege

I have the same problem, did you solve it?

Lcl159 avatar Jun 25 '23 06:06 Lcl159

@markwave pointpillars' bug need to download or generate a new infos.pkl file in https://mmdetection3d.readthedocs.io/en/latest/user_guides/dataset_prepare.html#summary-of-annotation-files.

sunjiahao1999 avatar Jun 28 '23 03:06 sunjiahao1999

MVXNet's bug is maybe the same as pointpillars'. When I tested it, it worked fine and no bugs were reproduced.

sunjiahao1999 avatar Jun 28 '23 04:06 sunjiahao1999

@markwave pointpillars' bug need to download or generate a new infos.pkl file in https://mmdetection3d.readthedocs.io/en/latest/user_guides/dataset_prepare.html#summary-of-annotation-files.

I create these kitti datasets as the latest mmdet3d guides that describe before, so the bug you solve through download the new infos.pkl file? and the generate method which the latest docs provide will cause these bug? Is download the new pkl the only way to solve these question?

markwave avatar Jun 28 '23 04:06 markwave

@markwave Can you provide the detailed code and the location of the error of the reported error? It's work well in my computer.

sunjiahao1999 avatar Jun 29 '23 02:06 sunjiahao1999

I say the bug which is the ”i use the command "python tools/test.py configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py checkpoints/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class-8963258a.pth --show-dir ./data/mvxnet/show_results" to test the mvxnet, and a error happen:"AssertionError: got unexpected vis_task None." then I add the command --task multi-view_det, and it runs but the final result shows all AP results are 0.0, so how to test the mvx model correctly?” so the mvxnet result I run， all the results were 0， does it runs well in your computer？ And if you try to generate the kitti dataset as the docs write, then run the model well? Or solve these question only by downloading the pkl files from the websites to get the normal results and runs Pointpillar well ?

markwave avatar Jun 29 '23 02:06 markwave

--task is not multi-view_det. MVXNet is a multi-modality_det model. Can you check that MVXNet outputs a right mAP without adding the show-dir and task parameters?

sunjiahao1999 avatar Jun 29 '23 03:06 sunjiahao1999

@markwave this is my new log when run:

python tools/test.py configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py checkpoints/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class-8963258a.pth

I hope this is helpful to you 20230629_105841.log

sunjiahao1999 avatar Jun 29 '23 03:06 sunjiahao1999

@markwave this is my new log when run:

python tools/test.py configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py checkpoints/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class-8963258a.pth

I hope this is helpful to you 20230629_105841.log

thanks for your help, I will try your advice first，and tell you the results soon

markwave avatar Jun 29 '23 03:06 markwave

@markwave this is my new log when run:

python tools/test.py configs/mvxnet/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class.py checkpoints/mvxnet_fpn_dv_second_secfpn_8xb2-80e_kitti-3d-3class-8963258a.pth

I hope this is helpful to you 20230629_105841.log

the results below also shows that，i use your advice not to add any parameters， “ 06/29 11:27:28 - mmengine - INFO - Results of pred_instances_3d:

----------- AP11 Results ------------

Pedestrian [email protected], 0.50, 0.50: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 Pedestrian [email protected], 0.25, 0.25: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 Cyclist [email protected], 0.50, 0.50: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 Cyclist [email protected], 0.25, 0.25: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 Car [email protected], 0.70, 0.70: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000 Car [email protected], 0.50, 0.50: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000

Overall AP11@easy, moderate, hard: bbox AP11:0.0000, 0.0000, 0.0000 bev AP11:0.0000, 0.0000, 0.0000 3d AP11:0.0000, 0.0000, 0.0000

----------- AP40 Results ------------

Pedestrian [email protected], 0.50, 0.50: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 Pedestrian [email protected], 0.25, 0.25: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 Cyclist [email protected], 0.50, 0.50: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 Cyclist [email protected], 0.25, 0.25: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 Car [email protected], 0.70, 0.70: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000 Car [email protected], 0.50, 0.50: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000

Overall AP40@easy, moderate, hard: bbox AP40:0.0000, 0.0000, 0.0000 bev AP40:0.0000, 0.0000, 0.0000 3d AP40:0.0000, 0.0000, 0.0000

06/29 11:27:28 - mmengine - INFO - Epoch(test) [3769/3769] Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP11_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP11_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP11_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP11_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP11_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP11_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP11_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP11_hard: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP11_hard: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP11_hard: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_3D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_BEV_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Pedestrian_2D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_3D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_BEV_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Cyclist_2D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_easy_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_moderate_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_hard_strict: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_easy_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_moderate_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_3D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_BEV_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Car_2D_AP40_hard_loose: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP40_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP40_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP40_easy: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP40_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP40_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP40_moderate: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_3D_AP40_hard: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_BEV_AP40_hard: 0.0000 Kitti metric/pred_instances_3d/KITTI/Overall_2D_AP40_hard: 0.0000 data_time: 0.0024 time: 0.0581 INFO - 2023-06-29 11:27:28,100 - driver - add pending dealloc: module_unload ? bytes “

markwave avatar Jun 29 '23 03:06 markwave

@markwave It looks strange. Can you run python mmdet3d/utils/collect_env.py to check your environment? I guess you do not install spconv correctly.

sunjiahao1999 avatar Jun 29 '23 06:06 sunjiahao1999

@markwave It looks strange. Can you run python mmdet3d/utils/collect_env.py to check your environment? I guess you do not install spconv correctly.

thanks, I had the same problem and solved it by re install spconv

Blinkblade avatar Jul 26 '23 01:07 Blinkblade

@markwave It looks strange. Can you run python mmdet3d/utils/collect_env.py to check your environment? I guess you do not install spconv correctly.

thanks bro，you are the best.I also solved it by install spconv

Xiegod123 avatar Feb 14 '25 09:02 Xiegod123

sys.platform: win32 Python: 3.8.20 (default, Oct 3 2024, 15:19:54) [MSC v.1929 64 bit (AMD64)] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA GeForce RTX 2080 CUDA_HOME: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3
NVCC: Cuda compilation tools, release 11.3, V11.3.58 MSVC: Microsoft (R) C/C++ Optimizing Compiler Version 19.29.30158 for x64 GCC: n/a PyTorch: 1.10.0+cu113 PyTorch compiling details: PyTorch built with:

  • C++ Version: 199711
  • MSVC 192829337
  • Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
  • Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
  • OpenMP 2019
  • LAPACK is enabled (usually provided by MKL)
  • CPU capability usage: AVX2
  • CUDA Runtime 11.3
  • 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_37,code=compute_37
  • CuDNN 8.2
  • Magma 2.5.4
  • Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=C:/w/b/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /w /bigobj -DUSE_PTHREADPOOL -openmp:experimental -IC:/w/b/windows/mkl/include -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, 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,

TorchVision: 0.11.1+cu113 OpenCV: 4.11.0 MMEngine: 0.8.0 MMDetection: 3.0.0 MMDetection3D: 1.4.0+962f093 spconv2.0: True

i a using this so can you guide me i have same problem is any specific version i have to download for spconv2?

Vish19-code avatar Apr 11 '25 08:04 Vish19-code

is any specific version i have to install i am train with official data but i have same problem .

Vish19-code avatar Apr 14 '25 13:04 Vish19-code