相关疑难解决方法(0)

我想optimize_for_inference.py在模型动物园的冻结模型上使用tensorflow的脚本:ssd_mobilenet_v1_coco.

如何查找/确定模型的输入和输出名称？

这是一个由tensorboard生成的图表的链接

这个问题可能会有所帮助:给定张量流模型图,如何找到输入节点和输出节点名称 (对我来说它没有)

我试图在我自己的数据上微调/重新训练InceptionV1模型.我以前可以

1. 使用此将图像数据转换为TFR格式数据.

2. 将转换后的数据传递给  finetune_inception_v1_on_flowers

3. 根据上面的脚本文件完成培训和评估,我在这里附上日志.

   INFO:tensorflow:global step 1000: loss = 0.1833 (20.37 sec/step) INFO:tensorflow:Stopping Training. 
   INFO:tensorflow:Finished training! Saving model to disk. INFO:tensorflow:Scale of 0 disables regularizer. 
   WARNING:tensorflow:From eval_image_classifier.py:157: streaming_recall_at_k (from tensorflow.contrib.metrics.python.ops.metric_ops) is deprecated and will be removed after 2016-11-08. Instructions for updating: Please use streaming_sparse_recall_at_k, and reshape labels from [batch_size] to [batch_size, 1]. 
       INFO:tensorflow:Evaluating /tmp/flowers-models/inception_v1/all/model.ckpt-1000 
       INFO:tensorflow:Starting evaluation at 2017-04-26-14:59:28 INFO:tensorflow:Restoring parameters from /tmp/flowers-models/inception_v1/all/model.ckpt-1000 
       INFO:tensorflow:Evaluation [1/4] 
       INFO:tensorflow:Evaluation [2/4] 
       INFO:tensorflow:Evaluation [3/4] 
       INFO:tensorflow:Evaluation [4/4] 
       2017-04-26 20:30:23.505265: I tensorflow/core/kernels/logging_ops.cc:79] eval/Recall_5[1] 
       2017-04-26 20:30:23.505420: …

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