upstream/model/utils/plotter.py

# -*- coding: utf-8 -*-
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import cm
import tensorflow as tf
import io


def save_imshow(x, save_fpath, title=None):
    """
    Save imshow() as .png file. This is a common way to save images when not
    using Tensorboard.
       
    Parameters
    ----------
    x : 2d-numpy-array
        
    save_fpath : (str)
        
    title : (str), optional
        DESCRIPTION. The default is None.

    """

    # fig, (ax1) = plt.subplots(1,1)
    # ax1.imshow(x, origin='upper')
    fig = plt.figure()
    plt.set_cmap('Blues')
    plt.imshow(x)
    plt.colorbar()
    if title is not None:
        fig.suptitle(title, fontsize=8)
    
    plt.tight_layout()
    plt.savefig(save_fpath)
    plt.close('all')
    print(f'SAVE_IMSHOW: saved image to {save_fpath}...')
    return



def plot_to_image(figure):
    """
    Converts the matplotlib plot specified by 'figure' to a PNG image and
    returns it. The supplied figure is closed and inaccessible after this call.

    Parameters
    ----------
    figure : (matplotlib.figure.Figure)
        Any figure objects created by matplotlib.

    Returns
    -------
    image : (tf.tensor) 
        PNG image tensor.

    """
    # Save the plot to a PNG in memory.
    buf = io.BytesIO()
    plt.savefig(buf, format='png')
    plt.close(figure)
    buf.seek(0)
    
    # Convert PNG buffer to TF image
    image = tf.image.decode_png(buf.getvalue(), channels=4)
    
    # Add the batch dimension
    image = tf.expand_dims(image, 0)
    return image



# This method is used for displaying imshow in tensorboard
def get_imshow_image(x, title=None):
    """
    Save imshow() as .png file. This method is used for displaying imshow in 
    tensorboard.
    
    Parameters
    ----------
    x : (2D numpy array)
        
    title : (str), optional
        Title of the image. The default is None.

    Returns
    -------
    image : (tf.tensor)
        PNG image tensor.

    """

    # fig, (ax1) = plt.subplots(1,1)
    # ax1.imshow(x, origin='upper')
    fig = plt.figure()
    plt.set_cmap('Blues')
    plt.imshow(x)
    plt.colorbar()
    if title is not None:
        fig.suptitle(title, fontsize=8)
    
    plt.tight_layout()
    image = plot_to_image(fig)
    plt.close('all')
    #print('GET_IMSHOW: created an image for tensorboard...')
    return image