无法保存tensorflow图像文件
问题描述:
我需要调整到特定尺寸的图像,并将其保存到文件,所以我选择了tf.image.resize_image_with_crop_or_pad功能:无法保存tensorflow图像文件
import tensorflow as tf
image_decoded = tf.image.decode_jpeg(tf.read_file('1.jpg'), channels=3)
cropped = tf.image.resize_image_with_crop_or_pad(image_decoded, 200, 200)
tf.write_file('2.jpg', cropped)
失败与错误:
Traceback (most recent call last):
File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 490, in apply_op
preferred_dtype=default_dtype)
File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 669, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 583, in _TensorTensorConversionFunction
% (dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype string for Tensor with dtype uint8: 'Tensor("control_dependency_3:0", shape=(200, 200, 3), dtype=uint8)'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 15, in <module>
tf.write_file('2.jpg', cropped)
File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_io_ops.py", line 694, in write_file
contents=contents, name=name)
File "/home/test/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 508, in apply_op
(prefix, dtypes.as_dtype(input_arg.type).name))
TypeError: Input 'contents' of 'WriteFile' Op has type uint8 that does not match expected type of string.
我试着张量转换为使用tf.as_string()字符串,但与崩溃:
TypeError: DataType uint8 for attr 'T' not in list of allowed values: int32, int64, complex64, float32, float64, bool, int8
我用Tensorflow v0.12.0-RC0对Linux Mint的
答
您首先需要将图像从张量编码为JPEG,然后将其保存。此外,您应该执行会话以评估您的代码:
import tensorflow as tf
image_decoded = tf.image.decode_jpeg(tf.read_file('1.jpg'), channels=3)
cropped = tf.image.resize_image_with_crop_or_pad(image_decoded, 200, 200)
enc = tf.image.encode_jpeg(cropped)
fname = tf.constant('2.jpg')
fwrite = tf.write_file(fname, enc)
sess = tf.Session()
result = sess.run(fwrite)
+0
非常感谢! –
我不确定该函数是否存在。它不在图片大小调整页面,而是类似的[在这里](https://www.tensorflow.org/api_docs/python/image/cropping)。 –
如果您发现我的答案有用,请接受它 – yuval