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• OpenCV => 4.1.2
• Operating System / Platform => Windows 64 Bit
• Compiler => Visual Studio 2017

I've exported a TF SavedModel (a '.pb' file) for object detection via AutoML for edge devices that I can load and test through TensorFlow for inference. However, when I try to load it using OpenCV, it yields the following error:

OpenCV(4.1.2) Error: Unspecified error (FAILED: ReadProtoFromBinaryFile(param_file, param). Failed to parse GraphDef file: D:\\model3.pb) in cv::dnn::ReadTFNetParamsFromBinaryFileOrDie, file C:\build\master_winpack-build-win64-vc15\opencv\modules\dnn\src\tensorflow\tf_io.cpp, line 42

I've tried the solution presented in 11805 but it breaks with:

File ".\optimize_for_inference.py", line 83, in main input_graph_def.ParseFromString(data) google.protobuf.message.DecodeError: Error parsing message

The same error pops up when I try any of scripts from TensorFlow Object Detection API Wiki

Minimum code to reproduce the error

`#include <opencv2/dnn.hpp>` `#include <opencv2/imgproc.hpp>` `#include <opencv2/opencv.hpp>` cv::dnn::Net net = cv::dnn::readNetFromTensorflow("saved_model.pb");

• OpenCV => 4.1.2
• Operating System / Platform => Windows 64 Bit
• Compiler => Visual Studio 2017

I've exported a TF SavedModel (a '.pb' file) for object detection via AutoML for edge devices that I can load and test through TensorFlow for inference. However, when I try to load it using OpenCV, it yields the following error:

OpenCV(4.1.2) Error: Unspecified error (FAILED: ReadProtoFromBinaryFile(param_file, param). Failed to parse GraphDef file: D:\\model3.pb) in cv::dnn::ReadTFNetParamsFromBinaryFileOrDie, file C:\build\master_winpack-build-win64-vc15\opencv\modules\dnn\src\tensorflow\tf_io.cpp, line 42

I've tried the solution presented in 11805 but it breaks with:

File ".\optimize_for_inference.py", line 83, in main input_graph_def.ParseFromString(data) google.protobuf.message.DecodeError: Error parsing message

The same error pops up when I try any of scripts from TensorFlow Object Detection API Wiki

Minimum code to reproduce the error

`#include <opencv2/dnn.hpp>` `#include <opencv2/imgproc.hpp>` `#include <opencv2/opencv.hpp>` cv::dnn::Net net = cv::dnn::readNetFromTensorflow("saved_model.pb");