System information (version)

• OpenCV => 4.2.0.34 (opencv-python)
• Operating System / Platform => Ubuntu 18.04
• Compiler => Python3.7

Detailed description

Hi I am having the following issue.
I trained 'ssd mobilenet-v3' and got 'frozen_inference_graph.pb' and 'graph.pbtxt' with reference to 'https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API'

I read 'graph' using 'cv2.dnn.readNetFromTensorflow' module
and put blob image
'net.forward()' I got this error

[ERROR:0] global /io/opencv/modules/dnn/src/dnn.cpp (3066) getLayerShapesRecursively OPENCV/DNN: [Eltwise]:(FeatureExtractor/MobilenetV3/expanded_conv_3/squeeze_excite/mul): getMemoryShapes() throws exception. inputs=2 outputs=0/1
[ERROR:0] global /io/opencv/modules/dnn/src/dnn.cpp (3069) getLayerShapesRecursively input[0] = [ 1 72 40 40 ]
[ERROR:0] global /io/opencv/modules/dnn/src/dnn.cpp (3069) getLayerShapesRecursively input[1] = [ 1 72 1 1 ]
cv2.error: OpenCV(4.2.0) /io/opencv/modules/dnn/src/layers/eltwise_layer.cpp:209: error: (-215:Assertion failed) inputs[0][j] == inputs[i][j] in function 'getMemoryShapes'

this is sample code

MODEL = MODEL_PATH + '/frozen_inference_graph.pb'
CONFIG = MODEL_PATH + '/graph.pbtxt'

cvNet = cv2.dnn.readNetFromTensorflow(MODEL, CONFIG)
cvNet.setInput(cv2.dnn.blobFromImage(frame, size=(320, 320), swapRB=True, crop=False))
cvOut = cvNet.forward()

I found a similar issue and your advice.

#15534 (comment)

Is this the only way? Or is there another way? If there is another way, please advise me. Thank you

Issue submission checklist

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

• I checked the problem with documentation, FAQ, open issues,
  answers.opencv.org, Stack Overflow, etc and have not found solution

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

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