title: How to run yolov2-lite tflite in coral edge TPU USB accelerator?
body: <p>I would like to make sure whether the following steps I executed to get the <code>tflite</code> of yolov2-lite model are correct or not?</p>
  
  <p><strong>Step1</strong> Saving graph and weights to protobuf file<br>
  <code>flow --model cfg/yolov2-tiny.cfg --load bin/yolov2-tiny.weights --savepb</code>.<br>
  This command created build_graph folder with yolov2-tiny.pb and yolov2-tiny.meta.</p>
  
  <p><strong>Step2</strong> Converting <code>pb</code> to <code>tflite</code><br>
  I executed the below piece of code to get the <code>yolov2-tiny.tflite</code></p>
  
  <pre><code>import tensorflow as tf  
  localpb = 'yolov2-tiny.pb' 
  tflite_file = 'yolov2-tiny.tflite'  
  print("{} -&gt; {}".format(localpb, tflite_file)) 
  converter = tf.lite.TFLiteConverter.from_frozen_graph(
  localpb,   
  input_arrays= ['input'],   
  output_arrays= ['output']    
  )  
  tflite_model = converter.convert()  
  open(tflite_file,'wb').write(tflite_model)  
  interpreter = tf.lite.Interpreter(model_content=tflite_model)  
  interpreter.allocate_tensors()
  </code></pre>
  
  <p>If the above steps I followed to get this tflite are correct, then please suggest me the command to run this tflite file in coral edge TPU USB accelerator.</p>
  
  <p>Thank you so much :)</p>