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Commit bd27aa70 authored by syiming's avatar syiming
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add batchnorm layer

parent 95d8a879
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research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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...@@ -295,6 +295,8 @@ class FasterRCNNResnetV1FpnKerasFeatureExtractor( ...@@ -295,6 +295,8 @@ class FasterRCNNResnetV1FpnKerasFeatureExtractor(
feature_extractor_model = tf.keras.models.Sequential([ feature_extractor_model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(), tf.keras.layers.Flatten(),
tf.keras.layers.Dense(units=1024, activation='relu'), tf.keras.layers.Dense(units=1024, activation='relu'),
self._conv_hyperparams.build_batch_norm(
training=(self._is_training and not self._freeze_batchnorm)),
tf.keras.layers.Dense(units=1024, activation='relu'), tf.keras.layers.Dense(units=1024, activation='relu'),
tf.keras.layers.Reshape((1, 1, 1024)) tf.keras.layers.Reshape((1, 1, 1024))
]) ])
......
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