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mmdeploy: 1.3.1
cascade mask-rcnn train config:https://github.com/open-mmlab/mmdetection/blob/3.x/configs/cascade_rcnn/cascade-mask-rcnn_r50_fpn_1x_coco.py pt : https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth
model convert to onnx success.
run inference, error: [mmdeploy] [error] [instance_segmentation.cpp:78] invalid argument (1)
how to solve it ?
python example/python/object_detection.py cpu maskrcnn/onnx/mask-rcnn maskrcnn/data/demo.jpg
python mmdeploy/tools/check_env.py 09/23 15:45:25 - mmengine - INFO - 09/23 15:45:25 - mmengine - INFO - **********Environmental information********** 09/23 15:45:41 - mmengine - INFO - sys.platform: win32 09/23 15:45:41 - mmengine - INFO - Python: 3.9.19 (main, May 6 2024, 20:12:36) [MSC v.1916 64 bit (AMD64)] 09/23 15:45:41 - mmengine - INFO - CUDA available: False 09/23 15:45:41 - mmengine - INFO - MUSA available: False 09/23 15:45:41 - mmengine - INFO - numpy_random_seed: 2147483648 09/23 15:45:41 - mmengine - INFO - MSVC: 用于 x64 的 Microsoft (R) C/C++ 优化编译器 19.39.33523 版 09/23 15:45:41 - mmengine - INFO - GCC: n/a 09/23 15:45:41 - mmengine - INFO - PyTorch: 1.12.1 09/23 15:45:41 - mmengine - INFO - 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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 2019 - LAPACK is enabled (usually provided by MKL) - CPU capability usage: AVX2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=C:/cb/pytorch_1000000000000/work/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /w /bigobj -DUSE_PTHREADPOOL -openmp:experimental -IC:/cb/pytorch_1000000000000/work/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=1.12.1, USE_CUDA=0, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, USE_ROCM=OFF, 09/23 15:45:41 - mmengine - INFO - TorchVision: 0.13.1 09/23 15:45:41 - mmengine - INFO - OpenCV: 4.10.0 09/23 15:45:41 - mmengine - INFO - MMEngine: 0.10.4 09/23 15:45:41 - mmengine - INFO - MMCV: 2.0.1 09/23 15:45:41 - mmengine - INFO - MMCV Compiler: MSVC 192930148 09/23 15:45:41 - mmengine - INFO - MMCV CUDA Compiler: not available 09/23 15:45:41 - mmengine - INFO - MMDeploy: 1.3.1+ 09/23 15:45:41 - mmengine - INFO - 09/23 15:45:41 - mmengine - INFO - **********Backend information********** 09/23 15:45:41 - mmengine - INFO - tensorrt: None 09/23 15:45:42 - mmengine - INFO - ONNXRuntime: 1.8.1 09/23 15:45:42 - mmengine - INFO - ONNXRuntime-gpu: None 09/23 15:45:42 - mmengine - INFO - ONNXRuntime custom ops: Available 09/23 15:45:42 - mmengine - INFO - pplnn: None 09/23 15:45:42 - mmengine - INFO - ncnn: None 09/23 15:45:42 - mmengine - INFO - snpe: None 09/23 15:45:42 - mmengine - INFO - openvino: None 09/23 15:45:42 - mmengine - INFO - torchscript: 1.12.1 09/23 15:45:42 - mmengine - INFO - torchscript custom ops: NotAvailable 09/23 15:45:42 - mmengine - INFO - rknn-toolkit: None 09/23 15:45:42 - mmengine - INFO - rknn-toolkit2: None 09/23 15:45:42 - mmengine - INFO - ascend: None 09/23 15:45:42 - mmengine - INFO - coreml: None 09/23 15:45:42 - mmengine - INFO - tvm: None 09/23 15:45:42 - mmengine - INFO - vacc: None 09/23 15:45:42 - mmengine - INFO - 09/23 15:45:42 - mmengine - INFO - **********Codebase information********** 09/23 15:45:43 - mmengine - INFO - mmdet: 3.1.0 09/23 15:45:43 - mmengine - INFO - mmseg: None 09/23 15:45:43 - mmengine - INFO - mmpretrain: 1.2.0 09/23 15:45:43 - mmengine - INFO - mmocr: None 09/23 15:45:43 - mmengine - INFO - mmagic: None 09/23 15:45:43 - mmengine - INFO - mmdet3d: None 09/23 15:45:43 - mmengine - INFO - mmpose: None 09/23 15:45:43 - mmengine - INFO - mmrotate: None 09/23 15:45:43 - mmengine - INFO - mmaction: None 09/23 15:45:43 - mmengine - INFO - mmrazor: None 09/23 15:45:43 - mmengine - INFO - mmyolo: None
No response
The text was updated successfully, but these errors were encountered:
调试发现,推理结果里面没有masks字段,取而代之的是一个数字"3367"的字段,把它取为masks,则能有正常结果。
所以,这里要问,这个3367是从哪里来的?模型转换的时候,需要配置什么参数吗?还是说这本身是一个bug
Sorry, something went wrong.
用notepad++打开转换后的onnx文件,发现有3367字段。
https://netron.app
有人来处理一下吗?看起来像是个配置的问题
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Describe the bug
mmdeploy: 1.3.1
cascade mask-rcnn
train config:https://github.com/open-mmlab/mmdetection/blob/3.x/configs/cascade_rcnn/cascade-mask-rcnn_r50_fpn_1x_coco.py
pt : https://download.openmmlab.com/mmdetection/v2.0/cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco/cascade_mask_rcnn_r50_fpn_1x_coco_20200203-9d4dcb24.pth
model convert to onnx success.
run inference, error:
[mmdeploy] [error] [instance_segmentation.cpp:78] invalid argument (1)
how to solve it ?
Reproduction
python example/python/object_detection.py cpu maskrcnn/onnx/mask-rcnn maskrcnn/data/demo.jpg
Environment
Error traceback
No response
The text was updated successfully, but these errors were encountered: