System Information

OpenCV => Python opencv-python-rolling 4.6.0.20220924
Operating System / Platform Windows 10 64 bit
Python =>3.10.4

Detailed description

I tried to load a frozen Tensorflow graph for DeepLab V3 from here:
https://docs.openvino.ai/latest/omz_models_model_deeplabv3.html#doxid-omz-models-model-deeplabv3

Find the frozen graph here: https://drive.google.com/file/d/15PoedGyEORvzZUuOS5ZsP07fyVjfPRI0/view?usp=sharing

Steps to reproduce

model = cv2.dnn.readNetFromTensorflow(model_path) leads to to

```[ERROR:0@0.164] global D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp (3169) cv::dnn::dnn4_v20220524::anonymous-namespace'::TFImporter::parseNode DNN/TF: Can't parse layer for node='strided_slice_7' of type='StridedSlice'. Exception: OpenCV(4.6.0-dev) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:2809: error: (-2:Unspecified error) Input layer not found: Shape_4 in function 'cv::dnn::dnn4_v20220524::anonymous-namespace'::TFImporter::connect'

Traceback (most recent call last):
File "d:\Local\devel\Python\OpenCV\dnn_segmentation_deeplabv3\inference.py", line 95, in
model = cv2.dnn.readNetFromTensorflow(model_path)
cv2.error: OpenCV(4.6.0-dev) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:2809: error: (-2:Unspecified error) Input layer not found: Shape_4 in function 'cv::dnn::dnn4_v20220524::`anonymous-namespace'::TFImporter::connect' ```

I than tried to follow the instructions here: https://docs.opencv.org/4.x/dc/db4/tf_segm_tutorial_dnn_conversion.html

However, I cannot find the mentioned code in the GitHub repository. https://github.com/opencv/opencv/tree/4.x/samples/dnn/dnn_model_runner/dnn_conversion/tf/ does not contain a folder called segmentation

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)