Theres not that much information given in the TensorFlow documentation: https://www.tensorflow.org/api_docs/python/tf/train/Example https://www.tensorflow.org/api_docs/python/tf/train/SequenceExamp...

The labelmaps of Tensorflows object_detection project contain 90 classes, although COCO has only 80 categories. Therefore the parameter num_classes in all sample configs is set to 90. If i now dow...

I am trying to convert the shape property of a Tensor in Tensorflow 2.1 and I get this error: AttributeError: 'Tensor' object has no attribute 'numpy' I already checked that the output of tf.exe...

I have a .tfrecord but I don't know how it is structured. How can I inspect the schema to understand what the .tfrecord file contains? All Stackoverflow answers or documentation seem to assume I k...

I have training data that is a directory of jpeg images and a corresponding text file containing the file name and the associated category label. I am trying to convert this training data into a tf...

First I want to quickly give some background. What I want to achieve eventually is to train a fully connected neural network for a multi-class classification problem under tensorflow framework. Th...

How do you read all examples from a TFRecords at once? I've been using tf.parse_single_example to read out individual examples using code similar to that given in the method read_and_decode in the...

I was asked this on another forum but thought I'd post it here for anyone that is having trouble with TFRecords. TensorFlow's Object Detection API can produce strange behavior if the labels in the...

Is it possible for obtain the total number of records from a .tfrecords file ? Related to this, how does one generally keep track of the number of epochs that have elapsed while training models? Wh...

How to use tfrecord with pytorch? I have downloaded "Youtube8M" datasets with video-level features, but it is stored in tfrecord. I tried to read some sample from these file to convert it to numpy...

I have an unbatched tensorflow dataset that looks like this: ds = ... for record in ds.take(3): print('data shape={}'.format(record['data'].shape)) -> data shape=(512, 512, 87) -> data shap...

Is there any way to split .tfrecords file into many .tfrecords files directly, without writing back each Dataset example ?

System information OS Platform and Distribution: CentOS 7.5.1804 TensorFlow installed from: pip install tensorflow-gpu TensorFlow version: tensorflow-gpu 1.8.0 CUDA/cuDNN version: 9.0/7.1.2 GPU m...

I am trying to create a dataset in tfrecord format from numpy arrays. I am trying to store 2d and 3d coordinates. 2d coordinates are numpy array of shape (2,10) of type float64 3d coordinates are ...

I have a tfrecord file and would like to import it in a pandas dataframe or numpy array. I found tools to read tfrecords but they only work inside a tensorflow session, which is not the use case I...

Best I would like to read some TF records data. This works, but only for Fixed length data, but now I would like to do the same thing with variable length data VarLenFeature def load_tfrecord_fix...

I have a tfrecord with 23 classes with 35 images in each class (805 in total). My current tfrecord read function is: def read_tfrecord(serialized_example): feature_description = { 'image': tf.io...

I've stored my training and validation data on two separate TFRecord files, in which I store 4 values: signal A (float32 shape (150,)), signal B (float32 shape (150,)), label (scalar int64), id (st...

I've tried to solve classification problem whose input data having 32 features and 16 labels by Deep Neural Network (DNN). They look like, # Input data shape=(32,), dtype=float32, np.array([-0.9...

Please read post before marking Duplicate: I was looking for an efficient way to count the number of examples in a TFRecord file of images. Since a TFRecord file does not save any metadata about t...

This is my code! My tensorflow version is 1.6.0, python version is 3.6.4. If I direct use dataset to read csv file, I can train and no wrong. But I convert csv file to tfrecords file, it's wrong. I...

I am trying to perform ZCA whitening on a Tensorflow Dataset. In order to do this, I am trying to extract my data from my Dataset as a Tensor, perform the whitening, then create another Dataset aft...

I want to train a convolutional neural network (using tf.keras from Tensorflow version 1.13) using numpy arrays as input data. The training data (which I currently store in a single >30GB '.npz'...

when save to TFRecord, I use: def _int64_feature(value): return tf.train.Feature(int64_list=tf.train.Int64List(value=[value])) def _bytes_feature(value): return tf.train.Feature(bytes_list=tf....

I am trying to follow this guide in order to serialize my input data into the TFRecord format but I keep hitting this error when trying to read it: InvalidArgumentError: Key: my_key. Can't parse...