2016-09-24 205 views
2

我努力训练使用Tensorflow的im2txt模型,我刚刚从主分支建立,错误训练im2txt模型

我下载的所有数据集是必要的,但如果当我运行训练脚本:

bazel-bin/im2txt/train \ --input_file_pattern="${MSCOCO_DIR}/train-?????-of-00256" \ --inception_checkpoint_file="${INCEPTION_CHECKPOINT}" \ --train_dir="${MODEL_DIR}/train" \ --train_inception=false \ --number_of_steps=1000000 

它显示以下内容:

Traceback (most recent call last): 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/train.py", line 111, in tf.app.run() 
File "/home/rvl224/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run sys.exit(main(sys.argv[:1] + flags_passthrough)) 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/train.py", line 65, in main model.build() 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/show_and_tell_model.py", line 358, in build self.build_inputs() 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/show_and_tell_model.py", line 165, in build_inputs image = self.process_image(encoded_image, thread_id=thread_id) 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/show_and_tell_model.py", line 119, in process_image image_format=self.config.image_format) 
File "/home/rvl224/models/im2txt/bazel-bin/im2txt/train.runfiles/im2txt/im2txt/ops/image_processing.py", line 114, in process_image method=tf.image.ResizeMethod.BILINEAR) 
TypeError: resize_images() got an unexpected keyword argument 'new_height' 

这是否与或我只是做了一些错误的功能resize_images()一个问题吗?

感谢

回答

4

更新:fix applied

对不起这个! TensorFlow中的功能resize_images(...)的签名上周发生了变化,导致了这种破坏。

我将很快得到解决。如果您想在此之前使用此修复程序,则需要修改文件im2txt/im2txt/ops/image_processing.py。

只需改变这一行:

image = tf.image.resize_images(image, 
           new_height=resize_height, 
           new_width=resize_width, 
           method=tf.image.ResizeMethod.BILINEAR) 

这样:

image = tf.image.resize_images(image, 
           size=[resize_height, resize_width], 
           method=tf.image.ResizeMethod.BILINEAR)