complex_image_search/utils/display_utils.py

import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np

def display_image_and_text(image, captions, prompt=None):
    # Create a subplot to display the image and text side by side
    fig, ax = plt.subplots(2, 1, figsize=(10, 5), height_ratios=np.array([0.9, 0.1]))

    max_length = 100
    new_captions = []

    for caption in captions:
        if len(caption) > max_length:
            # Split the string into chunks of max_length
            chunks = [caption[i:i + max_length] for i in range(0, len(caption), max_length)]
            formatted_string = '\n'.join(chunks)
            new_captions.append(formatted_string)
        else:
            new_captions.append(caption)

    text_lines = '\n\n'.join(new_captions)

    # Display the image on the upper subplot
    ax[0].imshow(image, cmap='gray')
    ax[0].axis('off')
    if prompt is not None:
        fig.text(0.5, 0.95, prompt, fontsize=14, ha='center', va='center')

    # Display the text on the bottom subplot
    ax[1].text(0.5, 0.5, text_lines, fontsize=12, ha='center', va='center')
    ax[1].axis('off')

    # plt.subplots_adjust(wspace=0.8)
    return fig

    # Show the image and text side by side
    # plt.show()


def display_images_and_text(images, captions, model):

    text_lines = '\n\n'.join(captions)

    fig, ax = plt.subplots(3, 3, figsize=(26, 10))

    # # Create a 2x3 grid for images
    # grid = GridSpec(2, 3)
    #
    # # Create a figure and axes
    # fig = plt.figure(figsize=(10, 5))
    # axes = [fig.add_subplot(grid[i // 3, i % 3]) for i in range(6)]

    # Display images on axes
    for i in range(9):
        # Display the image on the upper subplot
        ax[i // 3, i % 3].imshow(images[i], cmap='gray')
        ax[i // 3, i % 3].axis('off')
        ax[i // 3, i % 3].set_title("rank " + str(i + 1), fontsize=14)

    # plt.subplots_adjust(hspace=-0.2)
    # Add a text sentence beneath images
    fig.text(0.5, 0.05, text_lines, fontsize=16, ha='center', va='center')

    # add model name
    fig.suptitle(model, fontsize=16)
    # Show the plot
    # plt.tight_layout()
    return fig