A tensorflow-independent tensorboard logger
Project description
A small logger that lets you write logs readable by Tensorboard but
doesn't require Tensorflow.
# Usage
Use the logger as a context manager:
```python
from tensorboard_easy import Logger
with Logger('/path/to/logs/folder/') as log:
log.log_scalar('my_tag', 100, step=1)
```
It supports scalars, images, text and histograms.
# Installation
It can be installed via pip:
```pip install tensorboard-easy```
The `tensorflow` or `tensorflow-tensorboard` packages are not required,
however you will need one of them to visualize your logs.
doesn't require Tensorflow.
# Usage
Use the logger as a context manager:
```python
from tensorboard_easy import Logger
with Logger('/path/to/logs/folder/') as log:
log.log_scalar('my_tag', 100, step=1)
```
It supports scalars, images, text and histograms.
# Installation
It can be installed via pip:
```pip install tensorboard-easy```
The `tensorflow` or `tensorflow-tensorboard` packages are not required,
however you will need one of them to visualize your logs.
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