System information (version)

• OpenCV => 4.6
• Operating System / Platform => Windows 64 Bit
• Compiler => Visual Studio 2019

Detailed description

human_parsing example from dnn module not working properly no matter of input it every time asserting at:

modules\dnn\src\layers\permute_layer.cpp:161: error: (-215:Assertion failed) (int)_numAxes == inputs[0].size() in function 'cv::dnn::PermuteLayerImpl::getMemoryShapes'

I tried to resize / convert input image in 384x384 dimensions and different formats but it still not helping,
I assume the problem is in lip_jppnet_384.pb that is told to use in comments to the example.

Steps to reproduce

1. download lip_jppnet_384.pb by link in the example
2. run c++ or python example of human_parsing from dnn module
3. observe assert in output window

Issue submission checklist

• [*] I report the issue, it's not a question

• [*] I checked the problem with documentation, FAQ, open issues,
  forum.opencv.org, Stack Overflow, etc and have not found any solution

• [*] I updated to the latest OpenCV version and the issue is still there

• [*] There is reproducer code and related data files: videos, images, onnx, etc