# Vector shape (-1, -1, -1, 3) = image_tensor
# Base64 string shape (-1) = encoded_image_string_tensor
INPUT_TYPE = 'encoded_image_string_tensor'
python models/research/object_detection/export_inference_graph.py \
    --input_type $INPUT_TYPE \
    --pipeline_config_path model/pipeline.config \
    --trained_checkpoint_prefix model/model.ckpt \
    --inference_graph_path output_inference_graph.pb \
    --output_directory exported_model