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TensorBoard Plugin for WSI Images

Setup

git clone [email protected]:IAmS4n/TensorBoard_Plugin_WSI.git
cd TensorBoard_Plugin_WSI/
python setup.py install --user

Create a demo log file

import tensorflow as tf
from tensorboard_plugin_wsi import summary_v2

tf.compat.v1.enable_eager_execution()
tf = tf.compat.v2

writer = tf.summary.create_file_writer("demo_logs")
with writer.as_default():
    summary_v2.wsi("wsi_1", "Path to a wsi file")
    summary_v2.wsi("wsi_2", "Path to a wsi file")

Run TensorBoard

The command to run a TensorBoard is normal.

tensorboard --logdir demo_logs/

The result

A new tab that you can zoom and analyse the WSIs.