I retrained ssd_mobilenet_v2_coco_2018_03_29 from Tensorflow detection model zoo by following the procedures defined in Tensorflow Object Detection API using my own dataset. When I try to export the model by
python object_detection/export_inference_graph.py --input_type=image_tensor --pipeline_config_path=.../pipeline.config --trained_checkpoint_prefix=.../model.ckpt-200000 --output_directory=.../export-model-200000 --input_shape=1,300,300,3
it says "20 ops no flops stats due to incomplete shapes." although I overwrite input_shape with 1,300,300,3.
How can I overcome this problem?
My final goal is to convert this model into IR representation, in which I got problems related to shape inference during model conversion whereas I have no problem with converting the original model, which I used for transfer learning, into IR.