Unable to Convert EfficientDet_D0 Model into Intermediate Representation (IR) of OpenVINO™ Toolkit

1. Converted the EfficientDet_D0 model using converter.py script.

   python3 /opt/intel/openvino_2021.3.394/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name efficientdet-d0-tf
   python3 /opt/intel/openvino_2021.3.394/deployment_tools/open_model_zoo/tools/downloader/converter.py \
   --name efficientdet-d0-tf --mo /opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer
   
   Error:
   FAILED:
   efficientdet-d0-tf
    

2. Convert the EfficientDet_D0 model using Model Optimizer script:
   
   python3 $MO_ROOT/mo.py \
   --input_model savedmodeldir/efficientdet-d0_frozen.pb \
   --transformations_config $MO_ROOT/extensions/front/tf/automl_efficientdet.json \
   --input_shape [1,$IMAGE_SIZE,$IMAGE_SIZE,3] \
   --reverse_input_channels
   
    Errors:
   [ ERROR ] ----------------- INTERNAL ERROR ----------------
   [ ERROR ] Unexpected exception happened.
   [ ERROR ] Please contact Model Optimizer developers and forward the following information:
   [ ERROR ] Exception occurred during running replacer "AutomlEfficientDet (<class 'extensions.front.tf.AutomlEfficientDet.EfficientDet'>)": The node with name "convert_image" is not found in the graph. This node should provide scaled image output and is specified in the json file...
   [ ERROR ] ---------------- END OF BUG REPORT --------------

1. Converted the EfficientDet_D0 model using converter.py script.

   python3 /opt/intel/openvino_2021.3.394/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name efficientdet-d0-tf

   python3 /opt/intel/openvino_2021.3.394/deployment_tools/open_model_zoo/tools/downloader/converter.py \
   --name efficientdet-d0-tf --mo /opt/intel/openvino_2021.3.394/deployment_tools/model_optimizer
   
   Error:
   FAILED:
   efficientdet-d0-tf

    

2. Convert the EfficientDet_D0 model using Model Optimizer script:

   python3 $MO_ROOT/mo.py \
   --input_model savedmodeldir/efficientdet-d0_frozen.pb \
   --transformations_config $MO_ROOT/extensions/front/tf/automl_efficientdet.json \
   --input_shape [1,$IMAGE_SIZE,$IMAGE_SIZE,3] \
   --reverse_input_channels

   Errors:

   [ ERROR ] ----------------- INTERNAL ERROR ----------------
   [ ERROR ] Unexpected exception happened.
   [ ERROR ] Please contact Model Optimizer developers and forward the following information:
   [ ERROR ] Exception occurred during running replacer "AutomlEfficientDet (<class 'extensions.front.tf.AutomlEfficientDet.EfficientDet'>)": The node with name "convert_image" is not found in the graph. This node should provide scaled image output and is specified in the json file...
   [ ERROR ] ---------------- END OF BUG REPORT --------------

Convert the EfficientDet model using this command with the correct arguments:

python3 $MO_ROOT/mo.py \
--input_shape=[1,512,512,3] \
--input=image_arrays \
--reverse_input_channels \
--input_model savedmodeldir/efficientdet-d0_frozen.pb \
--transformations_config $MO_ROOT/extensions/front/tf/automl_efficientdet.json

The information for the correct arguments can be obtained from these Efficientdet-do-tf model.yml script.