CODEWITHSUNDEEP
pythonimagetensorflowtfrecord
kwotsin
kwotsin

Reputation: 2923

What is the fastest way to read a list of jpeg images and convert it into TFRecords in TensorFlow?

I have a list of images and labels in a txt file, in this format:

file1.jpg 1

file2.jpg 0

file3.jpg 1

file4.jpg 1

where the labels are binary.

How could I convert the image data to a TFRecord file without assigning my images to a subdirectory of labels (which is used in the inception model data preparation), and through simply reading jpg images? I have seen the TFRecords tutorials from tensorflow but it seems that the images are already all constructed in a tensor form.

I have tried a solution from: How do I convert a directory of jpeg images to TFRecords file in tensorflow?

But it didn't seem to work.

Upvotes: 2

Views: 1279

Answers (1)

I. A
I. A

Reputation: 2312

Follow the code in the following link to solve your problem. I did exactly what you are asking for. (Converting a set of png, or jpeg, images to TfRecords (binary images). And I provided the way to read out the tfrecords. In addition, In my case, I have a a set of features which are stored in a string, and I stored them into the tfrecords.

Creating TfRecords from a list of strings and feeding a Graph in tensorflow after decoding

Hope this code will help you.

Upvotes: 1

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