python openvino2tensorflow.py --model_path yolact_detect_pytorchnms11.xml --model_output_path yolact_detect_pynms --output_saved_model --output_pb --output_no_quant_float32_tflite --output_weight_quant_tflite --output_integer_quant_tflite

�[07mTensorFlow/Keras model building process starts�[0m ======================================
ERROR: axes don't match array
ERROR: model_path  : yolact_detect_pytorchnms11.xml
ERROR: weights_path: yolact_detect_pytorchnms11.bin
ERROR: layer_id    : 617
ERROR: input_layer0 layer_id=528: Const(ndarray).shape  (1, 19248, 2)
array([[[0.00724638, 0.00724638],
        [0.00724638, 0.00724638],
        [0.00724638, 0.00724638],
        ...,
        [0.9       , 0.9       ],
        [0.9       , 0.9       ],
        [0.9       , 0.9       ]]], dtype=float32)
ERROR: input_layer1 layer_id=616: KerasTensor(type_spec=TensorSpec(shape=(1, 19248, 2), dtype=tf.float32, name=None), name='tf.math.multiply_1/Mul:0', description="created by layer 'tf.math.multiply_1'")
ERROR: The trace log is below.
Traceback (most recent call last):
  File "openvino2tensorflow.py", line 474, in convert
    tmp_layers = [tf_layers_dict[from_layer_id].transpose(0,2,3,1).astype(np.float32) if type(tf_layers_dict[from_layer_id]) == np.ndarray else tf_layers_dict[from_layer_id] for from_layer_id in get_tf_edges_from(tf_edges, layer_id)]
  File "openvino2tensorflow.py", line 474, in <listcomp>
    tmp_layers = [tf_layers_dict[from_layer_id].transpose(0,2,3,1).astype(np.float32) if type(tf_layers_dict[from_layer_id]) == np.ndarray else tf_layers_dict[from_layer_id] for from_layer_id in get_tf_edges_from(tf_edges, layer_id)]
ValueError: axes don't match array

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "openvino2tensorflow.py", line 477, in convert
    tmp_layers = [tf_layers_dict[from_layer_id].transpose(0,2,3,1) if type(tf_layers_dict[from_layer_id]) == np.ndarray else tf_layers_dict[from_layer_id] for from_layer_id in get_tf_edges_from(tf_edges, layer_id)]
  File "openvino2tensorflow.py", line 477, in <listcomp>
    tmp_layers = [tf_layers_dict[from_layer_id].transpose(0,2,3,1) if type(tf_layers_dict[from_layer_id]) == np.ndarray else tf_layers_dict[from_layer_id] for from_layer_id in get_tf_edges_from(tf_edges, layer_id)]
ValueError: axes don't match array