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Questions - tfrecord

TFRecords in a custom DataGenerator

I am doing an LSTM model in which samples have different number of time steps. I want to optimise my code and performance so I do not want to use masking, but I want to write a generator that will gro...
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Mark

python

tensorflow

tensorflow-datasets

tfrecord

tf.data.dataset

Votes: 0

Answers: 0

Storing multiple values in a tfrecord feature

image_id class_1_rle class_2_rle class_3_rle 0002cc93b.jpg 29102 12 29346 24... 0007a71bf.jpg 18661 28 18863 82... 000a4bcdd.jpg 131973 1 132228 4... 229501 11 229741 33... I am t...
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supermesh

python

tensorflow

tensorflow2.0

tensorflow-datasets

tfrecord

Votes: 0

Answers: 2

Latest Answer

You achieve this in 3 simple steps, although it is hard to say what you actually intend to do without further details: Create and parse data: import tensorflow as tf import pandas as pd import tabulat...
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AloneTogether

Why the combination of model subclassing and TFRecord does not work?

The short version of the question Why when I try to train a model which is implemented through subclassing (in Keras) using a dataset that is saved and loaded by TFRecord, it fails? The complete versi...
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Mehran

keras

subclass

tfrecord

Votes: 0

Answers: 1

Latest Answer

For anyone else who might be facing the same problem, the solution is to reshape the tensors to match their intended shape when you are reading the TFRecords: def read_tfrecord(serialized_example): ...
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Mehran

Reading back a custom dataset TFRecords

I am trying to create a custom dataset in TFRecords for a CycleGAN model. The model requires a new type of dataset which is not available so I need to create one. I have a few JPG images of 256x256. F...
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nad

tensorflow

computer-vision

tfrecord

Votes: 0

Answers: 2

Latest Answer

There are few issues in your code: Parameter Issue: The problem is in a function convert_to, in more detail, the function expects a list of images: (...) image = images[index] (...) However, you are ...
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sebastian-sz

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