Tensorflow：ValueError：在单次检测中为 None 时无法加载 save_path

Question

我刚开始在 python 中使用 tensorflow。我正在尝试使用 tensorflow 为 pascalvoc 数据集训练单次检测。在使用 VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt 训练模型创建 tfrecords 和评估期间没有错误。然而，当我尝试使用 ssd_300_vgg.ckpt 预训练模型训练 pascalvoc 2007 或 2012 数据集时，出现以下错误。

 2017-08-25 20:03:03.001268: I tensorflow/core/common_runtime gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Quadro M5000M, pci bus id: 0000:01:00.0)
INFO:tensorflow:Error reported to Coordinator: <type 'exceptions.ValueError'>, Can't load save_path when it is None.
Traceback (most recent call last):
  File "train_ssd_network.py", line 391, in <module>
    tf.app.run()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "train_ssd_network.py", line 387, in main
    sync_optimizer=None)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/slim/python/slim/learning.py", line 738, in train
    master, start_standard_services=False, config=session_config) as sess:
  File "/usr/lib/python2.7/contextlib.py", line 17, in __enter__
    return self.gen.next()
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 965, in managed_session
    self.stop(close_summary_writer=close_summary_writer)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 793, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 954, in managed_session
    start_standard_services=start_standard_services)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 709, in prepare_or_wait_for_session
    init_feed_dict=self._init_feed_dict, init_fn=self._init_fn)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/session_manager.py", line 281, in prepare_session
    init_fn(sess)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 660, in callback
    saver.restore(session, model_path)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py", line 1558, in restore
    raise ValueError("Can't load save_path when it is None.")
ValueError: Can't load save_path when it is None.

我正在使用以下脚本来微调模型

DATASET_DIR=./tfrecords
TRAIN_DIR=./logs/
CHECKPOINT_PATH=./checkpoints/ssd_300_vgg.ckpt
python train_ssd_network.py \
    --train_dir=${TRAIN_DIR} \
    --dataset_dir=${DATASET_DIR} \
    --dataset_name=pascalvoc_2012 \
    --dataset_split_name=train \
    --model_name=ssd_300_vgg \
    --checkpoint_path=${CHECKPOINT_PATH} \
    --save_summaries_secs=60 \
    --save_interval_secs=600 \
    --weight_decay=0.0005 \
    --optimizer=adam \
    --learning_rate=0.001 \
    --batch_size=10

模型 ssd_300_vgg.ckpt 存储在位置 ./checkpoints

如果有人有解决方案，请告诉我。

原文由 Jiya 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 1

三个建议：

• 恢复模型时检查路径

saver = tf.train.import_meta_graph(model_path)

• 恢复检查点时检查路径

saver.restore(sess, tf.train.latest_checkpoint(cur_dir))

• 保存模型时检查参数

  saver = tf.train.Saver(save_relative_paths=True)

原文由 Maikefer 发布，翻译遵循 CC BY-SA 3.0 许可协议