Tensorflow 2.0对象检测训练错误-加载检查点时出错

Question

对象检测API2.0，加载检查点错误:已恢复检查点(例如tf.train.Checkpoint.restore或tf.keras.Model.load_weights)，但未使用所有检查点的值。

WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.conv_block.norm.moving_variance
W0716 19:56:53.424076 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.conv_block.norm.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.conv.kernel
W0716 19:56:53.424108 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.conv.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.axis
W0716 19:56:53.424140 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.gamma
W0716 19:56:53.424172 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.beta
W0716 19:56:53.424204 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.moving_mean
W0716 19:56:53.424236 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.moving_variance
W0716 19:56:53.424268 140587994642240 util.py:144] Unresolved object in checkpoint: (root).model._feature_extractor._network.hourglass_network.1.inner_block.0.inner_block.0.inner_block.0.inner_block.0.decoder_block.1.skip.norm.moving_variance
WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.
W0716 19:56:53.424301 140587994642240 util.py:152] **A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.**

Answer 1

通过将fine_tune_checkpoint_type更改为“检测”，我能够克服这个错误。

我修改了'pipeline.config‘，并将'fine_tune_checkpoint_type’从‘分类’改为‘检测’。此后，训练正确地进行了。