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tensorflowobject-detectiontensorflow-lite

How do i know my --output_arrays in tflite_convert


I'm trying to convert my .pb to .tflite using tflite_convert

How do i know my --output_arrays ?

I'm using the ssd_mobilenet_v2_coco_2018_03_29

this is my current code:

tflite_convert --output_file=C:/tensorflow1/models/research/object_detection/inference_graph/detect.tflite --graph_def_file=C:/tensorflow1/models/research/object_detection/inference_graph/tflite_graph.pb --inference_type=FLOAT --inference_input_type=QUANTIZED_UINT8 --input_arrays=ImageTensor --input_shapes=1,513,513,3 --output_arrays=SemanticPredictions --mean_values=128 --std_dev_values=128 --allow_custom_ops

and it produce error:

Specified output array "SemanticPredictions" is not produced by any op in this graph.

Following from https://www.tensorflow.org/lite/convert/cmdline_examples#command-line_tools_


Solution

  • One option is to use Netron for visualizing your graph.

    enter image description here

    Clicking on a particular layer gives its name, which in this case is: ** MobilenetV1/Predictions/Softmax**

    enter image description here

    I hope it helps:)