How does tfrecord generate ?

[Marshall-yao]

Hi,

You said that "Remove 'label' key in 'write_to_tfrecord()' function.“ and save the ground-truth patches in your GitHub. However, the label key is relevant to grond-truth. Is this wrong?

I "Remove all contents regarding low-resolution images in the 'generate_TFRecord()' function" as you said and save the label key.

Then ** I have got the following error :**

tensorflow.python.framework.errors_impl.InvalidArgumentError: Feature: image (data type: string) is required but could not be found.
[[Node: ParseSingleExample/ParseSingleExample = ParseSingleExample[Tdense=[DT_STRING], dense_keys=["image"], dense_shapes=[[]], num_sparse=0, sparse_keys=[], sparse_types=[]](arg0, ParseSingleExample/Const)]]
[[Node: IteratorGetNext = IteratorGetNextoutput_shapes=[[?,64,64,3]], output_types=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Does anyone have ideas ?

[FBLeee]

I don't know if I'm doing it right. I can generate a tfrecord file according to the author。But then there was an error somewhere else and it didn't work。。。。。

[JWSoh]

We have just uploaded the code to generate TFRecord dataset for MZSR. Please try with new code.

[Marshall-yao]

@JWSoh

Thanks so much for your reply. I will have a try.