Pure Python dashboard for monitoring deep learning experiments (a.k.a. TensorBoard clone for PyTorch, without a web browser)
The main OverBoard GUI uses Python 3; however, experiments can be logged from both Python 2 and 3 scripts.
The main dependencies are PyQt 5 and PyQtGraph. These can be installed as follows:
-
With Conda:
conda install pyqt pyqtgraph -c anaconda -
With pip:
pip install pyqt5 pyqtgraph
Finally, OverBoard itself can be installed with: pip install overboard
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Main interface:
python3 -m overboard <logs-directory> -
Logging experiments is simple:
from overboard import Logger
with Logger('./logs', ['loss', 'error]) as logger:
for iteration in range(100):
logger.append({'loss': 0, 'error': 0})
See the examples directory for more details.
examples/synthetic.py: Generate some test logs.examples/mnist.py: The mandatory MNIST example.