title: Training ssd inception_v3 using pretrained model from slim
body: <p>I want to train ssd inception_v3 model using object detection API with pretrained model from SLIM (<a href="https://://github.com/tensorflow/models/tree/master/research/slim" rel="nofollow noreferrer">link</a>)
  I try to train object detection ssd inception v3 model using config:</p>
  
  <pre><code>model {
    ssd {
      num_classes: 1
      image_resizer {
        fixed_shape_resizer {
          height: 240
          width: 320
        }
      }
      feature_extractor {
        type: "ssd_inception_v3"
        depth_multiplier: 1.0
        min_depth: 16
        conv_hyperparams {
          regularizer {
            l2_regularizer {
              weight: 3.99999989895e-05
            }
          }
          initializer {
            truncated_normal_initializer {
              mean: 0.0
              stddev: 0.0299999993294
            }
          }
          activation: RELU_6
          batch_norm {
            decay: 0.999700009823
            center: true
            scale: true
            epsilon: 0.0010000000475
            train: true
          }
        }
        override_base_feature_extractor_hyperparams: true
      }
  ...
  </code></pre>
  
  <p>I stopped procces after creating files model.ckpt-0.*, loaded and printed all tensors' names.</p>
  
  <p>After that I loaded pretrained model from <a href="https://github.com/tensorflow/models/tree/master/research/slim" rel="nofollow noreferrer">https://github.com/tensorflow/models/tree/master/research/slim</a> using </p>
  
  <pre><code>reader = pywrap_tensorflow.NewCheckpointReader(os.path.join(folder, 'model.ckpt'))
  var_to_shape_map = reader.get_variable_to_shape_map()
  </code></pre>
  
  <p>When I compared output I didn't see a lot layers for ssd incpetion v3 model. For example: </p>
  
  <blockquote>
    <p>InceptionV3/AuxLogits/Conv2d_2a_5x5/weights
    InceptionV3/Mixed_7c/Branch_3/Conv2d_0b_1x1/weight</p>
  </blockquote>
  
  <p>In model from ssd_inception_v3 I saw mixed layers before 5c.</p>
  
  <p>What are the differences of Feature Extractor in SSD_inception and SLIM models? In general, is it possible to load weights from SLIM for the classifier in the Object detection API for detection.</p>