I’m using OpenCV 4.5 and Tensorflow 2.5 in Ubuntu 18 in Docker container 20.03, which has CUDA 10.2 and TensorRT 7.0.0
/workspace/model/saved_model.pb and in
/workspace, I’ve tried
dnn:Net nt = cv::dnn::readNetFromTensorflow("saved_model.pb");
dnn:Net nt = cv::dnn::readNetFromTensorflow("model/saved_model.pb");
dnn:Net nt = cv::dnn::readNetFromTensorflow("./model/saved_model.pb");
dnn:Net nt = cv::dnn::readNetFromTensorflow("/workspace/model/saved_model.pb");
dnn:Net nt = cv::dnn::readNetFromTensorflow("/model/saved_model.pb");
But all of them are giving the same error of
String field 'opencv_tensorflow.FunctionDef.Node.ret' contains invalid UTF-8 data when parsing a protocol buffer. Use the 'bytes' type if you intend to send raw bytes.
what(): OpenCV(4.5.1-pre) /workspace/opencv/modules/dnn/src/tensorflow/tf_io.cpp:42: error: (-2:Unspecified error) FAILED: ReadProtoFromBinaryFile(param_file, param). Failed to parse GraphDef file: model/saved_model.pb in function 'ReadTFNetParamsFromBinaryFileOrDie'
Can anyone help?
what are the contents of your files? don’t describe, show contents. use a hex editor.
docs do state: " .pb file with binary protobuf description of the network architecture"
and what’s in your .pb files?
okay, that looks sufficiently binary to me. I’m at the end of my knowledge here. I hope you get responses from others.
Using tensorflow files in OpenCV is a real pain in the a**. You need to “freeze” and “optimize” the graph, and it’s not clear (at least for me) how to do it - especially that Tensorflow changed a lot with version 2, so many tutorials are not applicable. OpenCV also had problems by interpreting some layer types or parameters - especially those exported by Keras.
The only thing I can recommend it to continue using Tensorflow for processing instead of using the OpenCV bindings.
I’ll still follow this thread in case if somebody can write a good tutorial about using Tensorflow2 networks in OpenCV…
After freezing your model, you can try to use open vino to optimize your model and then use it in opencv. (But it’s not an easy thing… )
You can also try to export your model to onnx format.
hey mke does the opencv work after using open vino ?