A problem occured when training the model

[amenua]

I have download vgg16, but there still have a problem. I'm using tensorflow 1.8.

raceback (most recent call last):
File "/root/Downloads/SSD.TensorFlow-master/train_ssd.py", line 464, in
tf.app.run()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/root/Downloads/SSD.TensorFlow-master/train_ssd.py", line 460, in main
hooks=[logging_hook], max_steps=FLAGS.max_number_of_steps)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/estimator/estimator.py", line 363, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/estimator/estimator.py", line 843, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/estimator/estimator.py", line 856, in _train_model_default
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/estimator/estimator.py", line 831, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py", line 221, in single_device_model_fn
local_ps_devices=ps_devices)[0] # One device, so one spec is out.
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/estimator/python/estimator/replicate_model_fn.py", line 559, in _get_loss_towers
**optional_params)
File "/root/Downloads/SSD.TensorFlow-master/train_ssd.py", line 403, in ssd_model_fn
scaffold=tf.train.Scaffold(init_fn=get_init_fn()))
File "/root/Downloads/SSD.TensorFlow-master/train_ssd.py", line 158, in get_init_fn
name_remap={'/kernel': '/weights', '/bias': '/biases'})
File "/root/Downloads/SSD.TensorFlow-master/utility/scaffolds.py", line 66, in get_init_fn_for_scaffold
reader = tf.train.NewCheckpointReader(checkpoint_path)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 290, in NewCheckpointReader
return CheckpointReader(compat.as_bytes(filepattern), status)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/compat.py", line 68, in as_bytes
(bytes_or_text,))
TypeError: Expected binary or unicode string, got None

[HiKapok]

@amenua did you use the pre-trained model that I provided on the GoogleDrive? please ensure you didn't use the one in balancap's SSD-Tensorflow or the one in tf.slim. The vgg-16 I used here is the reduced-fc version which is faster while maintain comparable accuracy

[vitotu]

@amenua it's seems your pre-trained model created by old version tensorflow ( just only one flie vgg-16.ckpt) ,you should use the model created by new version tensorflow (there have four flies : checkpoint, .ckpt.meta , ckpt.index , ckpt.data......) , or convert the old version model to new version .you can also download the model provided by author. Suggest authors to improve compatibility. @HiKapok

[HiKapok]

@poorguy-aos I will generate one checkpoint in v1 version, will update tonight. Thank you!

[bidai541]

This project is not support tensorflow==1.4.0. Some modules of estimator is not integrated.
tf.contrib.estimator.TowerOptimizer
tf.contrib.estimator.replicate_model_fn
It's better to specify the version of tensorflow.

[HiKapok]

@bidai541 please read README more carefully, you should modify some lines in the codes

[bidai541]

Forgive my mistakes @HiKapok