tensorlayer3/docs/modules/visualize.rst

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API - Visualization
================================
TensorFlow provides `TensorBoard <https://www.tensorflow.org/get_started/summaries_and_tensorboard>`_
to visualize the model, activations etc. Here we provide more functions for data visualization.
.. automodule:: tensorlayer.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