(open-mmlab) root@ncut-vServer-Evc:~/myproject/SETR# python tools/test.py configs/SETR/SETR_MLA_480x480_80k_pascal_context_bs_8_MS.py iter_80000.pth --eval mIoU --show-dir output 2021-04-19 16:36:47,064 - mmseg - INFO - Loaded 1 images load pre-trained weight from imagenet21k [ ] 0/1, elapsed: 0s, ETA:Traceback (most recent call last): File "tools/test.py", line 151, in <module> main() File "tools/test.py", line 128, in main outputs = single_gpu_test(model, data_loader, args.show, args.show_dir) File "/root/SETR/mmseg/apis/test.py", line 62, in single_gpu_test out_file=out_file) File "/root/SETR/mmseg/models/segmentors/base.py", line 246, in show_result assert palette.shape[0] == len(self.CLASSES)

[miaochunle]

(open-mmlab) root@ncut-vServer-Evc:~/myproject/SETR# python tools/test.py configs/SETR/SETR_MLA_480x480_80k_pascal_context_bs_8_MS.py iter_80000.pth --eval mIoU --show-dir output
2021-04-19 16:36:47,064 - mmseg - INFO - Loaded 1 images
load pre-trained weight from imagenet21k
[ ] 0/1, elapsed: 0s, ETA:Traceback (most recent call last):
File "tools/test.py", line 151, in
main()
File "tools/test.py", line 128, in main
outputs = single_gpu_test(model, data_loader, args.show, args.show_dir)
File "/root/SETR/mmseg/apis/test.py", line 62, in single_gpu_test
out_file=out_file)
File "/root/SETR/mmseg/models/segmentors/base.py", line 246, in show_result
assert palette.shape[0] == len(self.CLASSES)

[clownrat6]

Eh, can you post out your SETR config file?

[clownrat6]

If there is no response, I will close this issue. The official support of SETR will come soon. Thank you.

[vgg4resnet]

same question here, I used the cmd : python demo/image_demo.py demo/demo.png configs/segformer/segformer_mit-b0_512x512_160k_ade20k.py https://download.openmmlab.com/mmsegmentation/v0.5/segformer/segformer_mit-b0_512x512_160k_ade20k/segformer_mit-b0_512x512_160k_ade20k_20210726_101530-8ffa8fda.pth --device cuda:0 --palette cityscapes

[vgg4resnet]

get fixed by changing the --palette cityscapes to --palette ade

[SuhZhang]

get fixed by changing the --palette cityscapes to --palette ade

I met the same problem as you @vgg4resnet, and I tried to use the cmd:
python demo/image_demo.py demo/demo.png configs/swin/upernet_swin_base_patch4_window7_512x1024_80k.py checkpoint/swin_base_iter_80000.pth --device cuda:0 --palette ade
It still didn't work:

Use load_from_local loader
Traceback (most recent call last):
  File "demo/image_demo.py", line 29, in <module>
    main()
  File "demo/image_demo.py", line 25, in main
    show_result_pyplot(model, args.img, result, get_palette(args.palette))
  File "/root/zsh5/foodseg/Swin-Transformer-Semantic-Segmentation/mmseg/apis/inference.py", line 115, in show_result_pyplot
    img = model.show_result(img, result, palette=palette, show=False)
  File "/root/zsh5/foodseg/Swin-Transformer-Semantic-Segmentation/mmseg/models/segmentors/base.py", line 246, in show_result
    assert palette.shape[0] == len(self.CLASSES)
TypeError: object of type 'NoneType' has no len()

Here is my environment:

sys.platform: linux
Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]
CUDA available: True
GPU 0: GeForce GTX 1080 Ti
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 10.1, V10.1.243
GCC: gcc (Ubuntu 5.4.0-6ubuntu1~16.04.12) 5.4.0 20160609
PyTorch: 1.6.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.3-Product Build 20210617 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - 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_37,code=compute_37
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, 

TorchVision: 0.7.0
OpenCV: 4.5.3
MMCV: 1.3.0
MMCV Compiler: GCC 5.4
MMCV CUDA Compiler: 10.1
MMSegmentation: 0.11.0+dcdd544

How can I fix the problem? Thx.