Updates

• config file from train.py accepts tensors as input
• TFRecord, add keyword argument to flag the shuffling mechanism
• Added InceptionResnetV1 in our basket of networks
• Added an option to sum the regularization losses in the CrossEntropy loss
• Implemented validation with embeddings (officially appending to the tensorboard)
• Created method Trainer.load_variables_from_external_model that load variables from another model in the current graph
• Implemented MeanSoftMaxLossCenterLoss (http://ydwen.github.io/papers/WenECCV16.pdf)
• Patched InceptionV2 (Added the flag trainable for each variable in the model)
• Implemented TFRecordImage (read, data augmentation, scaling and casting to float32)
• Added data type as input in the TFRecord datashufflers

bob/learn/tensorflow/datashuffler/TFRecord.py

@@ -84,6 +84,7 @@ class TFRecord(object):
         
         # Convert the image data from string back to the numbers
         image = tf.decode_raw(features['train/data'], tf.float32)
+        #image = tf.decode_raw(features['train/data'], tf.uint8)
         
         # Cast label data into int32
         label = tf.cast(features['train/label'], tf.int64)