Closed wardVD closed 2 years ago
Hi @wardVD Thank you for your PR. Do you mind adding an additional cell after the transform step, reading the transformed_examples and displaying one image to show that they are b/w and 300x300? I had to call the
map_fn
with the output of alambda
call as shown in the Issue. Would be great to confirm that the batch isn't flattened when you calltf.reshape(..., shape=[])
. Thank you!
I didn't see a difference in either way. I've included both ways, one is commented out. They give me the same result.
Hi @wardVD,
Wow, I didn't think Github would close the PR when I renamed the master
branch. Sorry about that! Could you please reopen the PR if possible. I am very sorry about the mistake.
Add image TFRecords + IPython notebook to illustrate how to transform images with Transform component.