visualize.rst

API - Visualization

TensorFlow provides TensorBoard to visualize the model, activations etc. Here we provide more functions for data visualization.

.. automodule:: tensorlayerx.utils.visualize

.. autosummary::

   read_image
   read_images
   save_image
   save_images
   draw_boxes_and_labels_to_image
   draw_mpii_pose_to_image
   draw_weights
   CNN2d
   frame
   images2d
   tsne_embedding
   draw_boxes_and_labels_to_image_with_json

Save and read images

Read one image

.. autofunction:: read_image

Read multiple images

.. autofunction:: read_images

Save one image

.. autofunction:: save_image

Save multiple images

.. autofunction:: save_images

Save image for object detection

.. autofunction:: draw_boxes_and_labels_to_image

Save image for object detection with json

.. autofunction:: draw_boxes_and_labels_to_image_with_json

Save image for pose estimation (MPII)

.. autofunction:: draw_mpii_pose_to_image

Visualize model parameters

Visualize CNN 2d filter

.. autofunction:: CNN2d

Visualize weights

.. autofunction:: draw_weights

Visualize images

Image by matplotlib

.. autofunction:: frame

Images by matplotlib

.. autofunction:: images2d

Visualize embeddings

.. autofunction:: tsne_embedding