Using Keats cv model in opencv

[ksv87]

I trained object detection model in keras_cv like this https://keras.io/examples/vision/retinanet and like this https://keras.io/examples/vision/yolov8.
Next i converted model to frozen graph like this

model = tf.keras.models.load_model(os.path.join(path, file))

Convert Keras model to ConcreteFunction
full_model = tf.function(lambda x: model(x)) full_model = full_model.get_concrete_function( tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype))

Get frozen ConcreteFunction
frozen_func = convert_variables_to_constants_v2(full_model) frozen_func.graph.as_graph_def()

Save frozen graph from frozen ConcreteFunction to hard drive
tf.io.write_graph(graph_or_graph_def=frozen_func.graph, logdir=path_res, name=file.split('.')[0]+".pb", as_text=False)

I try load this frozen graph like this

tensorflowNet = cv2.dnn.readNetFromTensorflow('model.pb')

and recive error:[ERROR:[email protected]] global tf_importer.cpp:3171 parseNode DNN/TF: Can't parse layer for node='yolov8_detector_2/tf.repeat_11/Repeat/Reshape' of type='Reshape'. Exception: OpenCV(4.8.1) /io/opencv/modules/dnn/src/tensorflow/tf_graph_simplifier.cpp:902: error: (-215:Assertion failed) !field.empty() in function 'getTensorContentRef_'

What i do wrong?

P.s.: i completely did this way with classification keras model, but with keras_cv objectdetection model i cannot do this... Please help me!

I try find example in google