15c9d980c4b46ebbfc37b71d10d835956c227b73,luminoth/models/ssd/feature_extractor.py,SSDFeatureExtractor,_build,#SSDFeatureExtractor#,40

Before Change

                inputs_rank = inputs_shape.ndims
                dtype = vgg_conv4_3.dtype.base_dtype
                norm_dim = tf.range(inputs_rank - 1, inputs_rank)
                params_shape = inputs_shape[-1:]

                // Normalize.
                vgg_conv4_3_norm = tf.nn.l2_normalize(
                    vgg_conv4_3, norm_dim, epsilon=1e-12

After Change

                    initializer=scale_initializer
                )
                vgg_conv4_3_norm = tf.multiply(vgg_conv4_3_norm, scale)
                tf.summary.histogram("conv4_3_normalized_hist", vgg_conv4_3)
            tf.add_to_collection("FEATURE_MAPS", vgg_conv4_3_norm)

            // The original SSD paper uses a modified version of the vgg16
            // network, which we"ll modify here

Instances