415 lines
11 KiB
Python
415 lines
11 KiB
Python
import itertools
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import sys
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from typing import Tuple, Iterable, List
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import blend_modes
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import numpy as np
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import pytest
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from PIL import Image, ImageEnhance
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from PIL.Image import Transpose
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from loguru import logger
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from cv_analysis.utils.conversion import normalize_image_format_to_array, normalize_image_format_to_pil
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from cv_analysis.utils.image_operations import blur, sharpen, overlay, superimpose, compute_pasting_coordinates
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from cv_analysis.utils.merging import merge_related_rectangles
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from cv_analysis.utils.postprocessing import remove_overlapping, remove_included
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from synthesis.partitioner.two_column import TwoColumnPagePartitioner
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from synthesis.random import rnd, probably
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from synthesis.segment.content_rectangle import ContentRectangle
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from cv_analysis.utils.geometric import is_square_like
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from synthesis.segment.table.table import generate_random_plot, generate_recursive_random_table, paste_contents
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from synthesis.segment.text_block import TextBlock
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from synthesis.text.text_block_generator.caption import CaptionGenerator
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from synthesis.text.font import pick_random_font_available_on_system
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logger.remove()
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logger.add(sys.stderr, level="INFO")
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from funcy import (
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juxt,
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compose,
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identity,
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lmap,
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lsplit,
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lfilter,
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repeatedly,
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)
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from cv_analysis.locations import TEST_PAGE_TEXTURES_DIR
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from cv_analysis.utils.display import show_image
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from cv_analysis.utils.rectangle import Rectangle
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@pytest.fixture(
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params=[
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# "rough_grain",
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# "plain",
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# "digital",
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"crumpled",
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]
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)
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def base_texture(request, size):
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texture = Image.open(TEST_PAGE_TEXTURES_DIR / (request.param + ".jpg"))
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texture = texture.resize(size)
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# texture.putalpha(255) # ISSUE 1!!!
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return texture
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@pytest.fixture(
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params=[
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"portrait",
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# "landscape",
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]
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)
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def orientation(request):
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return request.param
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@pytest.fixture(
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params=[
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# 30,
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100,
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]
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)
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def dpi(request):
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return request.param
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@pytest.fixture(
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params=[
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# "brown",
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# "sepia",
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# "gray",
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"white",
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# "light_red",
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# "light_blue",
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]
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)
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def color_name(request):
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return request.param
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@pytest.fixture(
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params=[
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# "smooth",
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# "coarse",
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"neutral",
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]
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)
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def texture_name(request):
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return request.param
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@pytest.fixture(
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params=[
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# 30,
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70,
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# 150,
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]
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)
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def color_intensity(request):
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return request.param
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def random_flip(image):
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if rnd.choice([True, False]):
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image = image.transpose(Transpose.FLIP_LEFT_RIGHT)
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if rnd.choice([True, False]):
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image = image.transpose(Transpose.FLIP_TOP_BOTTOM)
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return image
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@pytest.fixture
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def color(color_name):
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return {
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"brown": "#7d6c5b",
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"sepia": "#b8af88",
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"gray": "#9c9c9c",
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"white": "#ffffff",
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"light_red": "#d68c8b",
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"light_blue": "#8bd6d6",
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}[color_name]
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@pytest.fixture
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def texture_fn(texture_name, size):
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if texture_name == "smooth":
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fn = blur
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elif texture_name == "coarse":
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fn = compose(overlay, juxt(blur, sharpen))
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else:
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fn = identity
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return normalize_image_function(fn)
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def normalize_image_function(func):
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def inner(image):
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image = normalize_image_format_to_array(image)
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image = func(image)
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image = normalize_image_format_to_pil(image)
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return image
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return inner
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@pytest.fixture
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def texture(tinted_blank_page, base_texture):
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texture = superimpose(base_texture, tinted_blank_page)
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return texture
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@pytest.fixture
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def tinted_blank_page(size, color, color_intensity):
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tinted_page = Image.new("RGBA", size, color)
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tinted_page.putalpha(color_intensity)
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return tinted_page
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@pytest.fixture
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def blank_page(size, color, color_intensity):
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page = Image.new("RGBA", size, color=(255, 255, 255, 0))
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return page
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@pytest.fixture
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def size(dpi, orientation):
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if orientation == "portrait":
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size = (8.5 * dpi, 11 * dpi)
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elif orientation == "landscape":
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size = (11 * dpi, 8.5 * dpi)
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else:
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raise ValueError(f"Unknown orientation: {orientation}")
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size = tuple(map(int, size))
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return size
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class ContentGenerator:
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def __init__(self):
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self.constrain_layouts = True
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def __call__(self, boxes: List[Rectangle]) -> Image:
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rnd.shuffle(boxes)
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figure_boxes, text_boxes = lsplit(is_square_like, boxes)
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if self.constrain_layouts:
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figure_boxes = merge_related_rectangles(figure_boxes)
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figure_boxes = lfilter(is_square_like, figure_boxes)
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text_boxes = merge_related_rectangles(text_boxes)
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boxes = list(
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itertools.chain(
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map(generate_random_text_block, every_nth(2, text_boxes)),
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*zipmap(generate_recursive_random_table_with_caption, every_nth(2, text_boxes[1:])),
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*zipmap(generate_recursive_random_table_with_caption, every_nth(2, figure_boxes)),
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*zipmap(generate_random_plot_with_caption, every_nth(2, figure_boxes[1:])),
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)
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)
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if self.constrain_layouts:
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boxes = remove_included(boxes)
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boxes = remove_overlapping(boxes)
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return boxes
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def zipmap(fn, boxes, n=2):
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rets = lmap(list, zip(*map(fn, boxes)))
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yield from repeatedly(lambda: [], n) if len(rets) < n else rets
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def every_nth(n, iterable):
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return itertools.islice(iterable, 0, None, n)
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def generate_random_plot_with_caption(rectangle: Rectangle):
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plot_box, caption_box = split_into_figure_and_caption(rectangle)
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plot_box = generate_random_plot(plot_box)
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caption_box = generate_random_image_caption(caption_box)
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return plot_box, caption_box
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# TODO: deduplicate with generate_random_table_with_caption
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def generate_recursive_random_table_with_caption(rectangle: Rectangle):
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table_box, caption_box = split_into_figure_and_caption(rectangle)
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table_box = generate_recursive_random_table(table_box, double_rule=probably())
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caption_box = generate_random_table_caption(caption_box)
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return table_box, caption_box
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def split_into_figure_and_caption(rectangle: Rectangle):
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gap_percentage = rnd.uniform(0, 0.03)
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split_point = rnd.uniform(0.5, 0.9)
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figure_box = Rectangle(
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rectangle.x1, rectangle.y1, rectangle.x2, rectangle.y1 + rectangle.height * (split_point - gap_percentage / 2)
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)
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caption_box = Rectangle(
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rectangle.x1, rectangle.y1 + rectangle.height * (split_point + gap_percentage / 2), rectangle.x2, rectangle.y2
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)
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return figure_box, caption_box
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def shrink_rectangle(rectangle: Rectangle, factor: float) -> Rectangle:
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x1, y1, x2, y2 = compute_scaled_coordinates(rectangle, (1 - factor))
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logger.trace(f"Shrinking {rectangle} by {factor} to ({x1}, {y1}, {x2}, {y2}).")
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assert x1 >= rectangle.x1
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assert y1 >= rectangle.y1
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assert x2 <= rectangle.x2
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assert y2 <= rectangle.y2
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shrunk_rectangle = Rectangle(x1, y1, x2, y2)
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if isinstance(rectangle, ContentRectangle): # TODO: Refactor
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shrunk_rectangle = ContentRectangle(*shrunk_rectangle.coords, rectangle.content)
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return shrunk_rectangle
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def compute_scaled_coordinates(rectangle: Rectangle, factor: float) -> Tuple[int, int, int, int]:
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# TODO: Refactor: Using image to compute coordinates is not clean
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image = Image.new("RGBA", (rectangle.width, rectangle.height))
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scaled = image.resize((int(rectangle.width * factor), int(rectangle.height * factor)))
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x1, y1 = compute_pasting_coordinates(scaled, image)
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x1 = rectangle.x1 + x1
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y1 = rectangle.y1 + y1
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x2, y2 = x1 + scaled.width, y1 + scaled.height
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return x1, y1, x2, y2
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def generate_random_text_block(rectangle: Rectangle, n_sentences=3000) -> ContentRectangle:
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block = TextBlock(
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*rectangle.coords,
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font=pick_random_font_available_on_system(
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includes=("serif", "sans-serif"),
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excludes=("bold", "mono", "italic", "oblique", "cursive"),
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),
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font_size=30, # TODO: De-hardcode font size... Seems to have no effect on top of that
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)
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block.content = rectangle.content if isinstance(rectangle, ContentRectangle) else None # TODO: Refactor
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block.generate_random_text(rectangle, n_sentences)
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return block
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def generate_random_image_caption(rectangle: Rectangle) -> ContentRectangle:
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return generate_random_caption(rectangle, f"Fig {rnd.randint(1, 20)}")
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def generate_random_table_caption(rectangle: Rectangle) -> ContentRectangle:
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return generate_random_caption(rectangle, f"Tabl {rnd.randint(1, 20)}")
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def generate_random_caption(rectangle: Rectangle, caption_start, n_sentences=1000) -> ContentRectangle:
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block = TextBlock(
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*rectangle.coords,
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text_generator=CaptionGenerator(caption_start=caption_start),
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font=pick_random_font_available_on_system(
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includes=("italic",),
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excludes=("bold", "mono"),
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),
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font_size=100, # TODO: De-hardcode font size... Seems to have no effect on top of that
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)
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block.content = rectangle.content if isinstance(rectangle, ContentRectangle) else None # TODO: Refactor
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block.generate_random_text(rectangle, n_sentences)
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return block
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@pytest.fixture(
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params=[
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TwoColumnPagePartitioner,
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# RandomPagePartitioner
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]
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)
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def page_partitioner(request):
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return request.param()
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@pytest.fixture
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def boxes(page_partitioner, blank_page):
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boxes = page_partitioner(blank_page)
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return boxes
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@pytest.fixture
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def prepared_texture(texture, texture_fn):
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texture = random_flip(texture)
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texture = texture_fn(texture)
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return texture
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@pytest.fixture
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def content_boxes(boxes):
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content_generator = ContentGenerator()
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content_boxes = content_generator(boxes)
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return content_boxes
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@pytest.fixture
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def page_with_opaque_content(
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blank_page, tinted_blank_page, prepared_texture, content_boxes
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) -> Tuple[np.ndarray, Iterable[Rectangle]]:
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"""Creates a page with content"""
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page = paste_contents(prepared_texture, content_boxes)
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return page, content_boxes
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@pytest.fixture
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def page_with_translucent_content(
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blank_page, tinted_blank_page, prepared_texture, content_boxes
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) -> Tuple[np.ndarray, List[Rectangle]]:
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"""Creates a page with content"""
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page_content = paste_contents(blank_page, content_boxes)
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page = blend_by_multiply(page_content, prepared_texture)
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return page, content_boxes
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def blend_by_multiply(page_content, texture):
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def to_array(image: Image) -> np.ndarray:
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return np.array(image).astype(np.float32)
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texture.putalpha(255)
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page_content.putalpha(255)
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factor = 1.2
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enhancer = ImageEnhance.Contrast(texture)
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texture = enhancer.enhance(factor)
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page = blend_modes.multiply(
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*map(
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to_array,
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(
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page_content,
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texture,
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),
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),
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opacity=1,
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).astype(np.uint8)
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return page
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@pytest.fixture
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def page_with_content(
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page_with_translucent_content,
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# page_with_opaque_content,
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) -> np.ndarray:
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page, boxes = page_with_translucent_content
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# page, boxes = page_with_opaque_content
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draw_boxes(page, boxes)
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return page
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def draw_boxes(page: Image, boxes: Iterable[Rectangle]):
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from cv_analysis.utils.drawing import draw_rectangles
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page = draw_rectangles(page, boxes, filled=False, annotate=True)
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show_image(page, backend="pil")
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