質問編集履歴
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Traceback (most recent call last):
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File "hdrcnn_predict
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File "hdrcnn_predict5.py", line 77, in <module>
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net = network.model(x)
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File "/Users/****/hdrcnn/hdrcnn-master/network.py", line
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File "/Users/****/hdrcnn/hdrcnn-master/network.py", line 16, in model
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net_in = tl.layers.Input
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net_in = tl.layers.InputLayer(x_in, name='input_layer')
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File "/Users/****/Library/Python/3.7/lib/python/site-packages/tensorlayer/layers/
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File "/Users/****/Library/Python/3.7/lib/python/site-packages/tensorlayer/layers/deprecated.py", line 178, in InputLayer
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raise NonExistingLayerError("InputLayer(x, name='a') --> Input(name='a')(x)" + __log__)
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File "/Users/****/Library/Python/3.7/lib/python/site-packages/tensorflow/python/framework/ops.py", line 520, in __iter__
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self._disallow_iteration()
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File "/Users/****/Library/Python/3.7/lib/python/site-packages/tensorflow/python/framework/ops.py", line 516, in _disallow_iteration
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self._disallow_in_graph_mode("iterating over `tf.Tensor`")
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File "/Users/****/Library/Python/3.7/lib/python/site-packages/tensorflow/python/framework/ops.py", line 496, in _disallow_in_graph_mode
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" this function with @tf.function.".format(task))
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tensor
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tensorlayer.layers.deprecated.NonExistingLayerError: InputLayer(x, name='a') --> Input(name='a')(x)
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Hint: 1) downgrade TF and TL from version 2.x to 1.x. 2) check the documentation of TF and TL version 2.x
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```
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#hdrcnn_predict.py
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#Copyright (c) 2017, Gabriel Eilertsen.
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#All rights reserved.
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import os, sys
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import tensorflow.compat.v1 as tf
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#設定、TensorFlow引数を使用
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FLAGS = tf.flags.FLAGS
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tf.flags.DEFINE_integer("width", "1024", "Reconstruction image width")
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#32の倍数に丸めて、オートエンコーダのプーリングとアップサンプリングを行う
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#入力画像と同じサイズになります
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sx = int(np.maximum(32, np.round(FLAGS.width/32.0)*32))
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sy = int(np.maximum(32, np.round(FLAGS.height/32.0)*32))
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#情報
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print_("\n\n\t-------------------------------------------------------------------\n", 'm')
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print_("\t ディープCNNを使用した単一露光からのHDR画像再構成\n\n", 'm')
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print_("\t 予測設定\n", 'm')
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print_("\t -------------------\n", 'm')
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print_("\t 入力画像のディレクトリ/ファイル:%s\n" % FLAGS.im_dir, 'm')
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print_("\t 出力ディレクトリ:%s\n" % FLAGS.out_dir, 'm')
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print_("\t CNN重み:%s\n" % FLAGS.params, 'm')
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print_("\t 予測解像度: %dx%d ピクセル\n" % (sx, sy), 'm')
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if FLAGS.scaling > 1.0:
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print_("\t Pre-scaling: %0.4f\n" % FLAGS.scaling, 'm')
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if FLAGS.gamma > 1.0 + eps or FLAGS.gamma < 1.0 - eps:
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print_("\t Gamma: %0.4f\n" % FLAGS.gamma, 'm')
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print_("\t-------------------------------------------------------------------\n\n\n", 'm')
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# シングルフレーム
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frames = [FLAGS.im_dir]
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1
修正
test
CHANGED
File without changes
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test
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@@ -1,4 +1,4 @@
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今TensorFlow1.*で書かれたプログラムをTensorFlow2.*で動作できるように変えています。
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今TensorFlow1.*で[書かれたプログラム](https://github.com/gabrieleilertsen/hdrcnn)をTensorFlow2.*で動作できるように変えています。
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その段階で躓いてしまったので、教えていただきたいです。
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