我正在尝试使用张量流在自定义数据集上实现对象检测

问题描述

我是tensorflow的新手,我正在关注此[link] https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/training.html

我跑了 python model_main_tf2.py --model_dir=models/my_ssd_resnet50_v1_fpn --pipeline_config_path=models/my_ssd_resnet50_v1_fpn/pipeline.config

我遇到这样的错误,程序停止了。

警告:tensorflow:恢复了检查点(例如tf.train.Checkpoint.restore或tf.keras.Model.load_weights),但并未使用所有检查点值。请参阅上面的特定问题 s。在加载状态对象上使用Expect_partial(),例如tf.train.Checkpoint.restore(...)。expect_partial(),以消除这些警告,或使用assert_consumed()进行检查 cit。有关详细信息,请参见https://www.tensorflow.org/guide/checkpoint#loading_mechanics

有一些错误

W0817 10:14:35.677110 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.0.kernel
W0817 10:14:35.682097 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.0.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.axis
W0817 10:14:35.682097 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.gamma
W0817 10:14:35.683094 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.beta
W0817 10:14:35.683094 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_mean
W0817 10:14:35.683094 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_variance
W0817 10:14:35.684094 16272 util.py:150] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.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 issue
s. 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 expli
cit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.
W0817 10:14:35.684094 16272 util.py:158] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See ab
ove for specific issues. Use expect_partial() on the load status object,or use assert_consumed() t
o make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.

一些背景: 我正在使用Windows 10 我安装了tensorflow gpu 我正在使用tenforflow 2.3.0

解决方法

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