Hands-On Generative Adversarial Networks with Keras

Logging utils

We define a function to log text:

def log_text(texts, name, i, logger):    # convert each text to string    texts = [str(t) for t in texts]        # use a plus sign and new line to mark a new sentence    texts = ' +\n'.join(texts)        # add them to the logger    logger.add_text('{}'.format(name, i), texts, i)

We define a function to log images in a 4 x 4 grid:

def log_images(images, name, i, logger):     images = (images.reshape(4, 4, 64, 64, 3)                     .transpose(0, 2, 1, 3, 4)                     .reshape(4*64, 4*64, 3))     images = ((images + 1) * 0.5)     logger.add_image('{}'.format(name, i), images, i, dataformats='HWC')