https://github.com/joelypoley/tensorshow
A python module for inspecting TFRecords.
https://github.com/joelypoley/tensorshow
inspector jupyter-notebook tensorflow tfrecord visualizer
Last synced: about 2 months ago
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A python module for inspecting TFRecords.
- Host: GitHub
- URL: https://github.com/joelypoley/tensorshow
- Owner: joelypoley
- License: mit
- Created: 2018-10-07T01:53:16.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-10-14T20:40:08.000Z (over 6 years ago)
- Last Synced: 2024-10-05T02:54:29.463Z (7 months ago)
- Topics: inspector, jupyter-notebook, tensorflow, tfrecord, visualizer
- Language: Python
- Homepage:
- Size: 313 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Tensorshow
Tensorshow is a python module for inspecting [TFRecords](https://www.tensorflow.org/api_guides/python/reading_data#file_formats).
## Installation
Requires python 3.6.
```bash
pip install tensorshow
```
## Examples
Tensorshow can convert a TFRecord to a pandas dataframe.
```python
import tensorshow
# The column labels of `df` are the features of the tf.train.example protobufs.
df = tensorshow.dataframe_from('path/to/tfrecord', limit=100)
```
Tensorshow can convert a tfrecord to an html file.
```python
import tensorshow
# The column labels of `df` are the features of the tf.train.example protobufs.
df = tensorshow.html_file_from('path/to/tfrecord', 'path/to/html/outfile', limit=100)
```
The resulting html file will look like this. Tensorshow automatically detects if a byte string is an encoded image and displays it appropriately.
Tensorshow can be used in a jupyter notebook to preview a TFRecord. The `head` function will show the first five `tf.train.example`s by default and the `sample` function will show five random `tf.train.example`s from the tfrecord.
