Matthias Bisping bb79f9dd55 applied black
2022-04-11 13:57:32 +02:00

101 lines
2.9 KiB
Python

import io
from functools import partial, lru_cache
from itertools import chain, starmap
from operator import itemgetter, truth
import fitz
from PIL import Image
from funcy import rcompose, compose, curry, merge
from tqdm import tqdm
from image_prediction.image_extractor.extractor import ImageExtractor, ImageMetadataPair
from image_prediction.info import Info
from image_prediction.stitching.stitching import stitch_pairs
rounder = rcompose(round, int)
def get_image_metadata(image_info):
x1, y1, x2, y2 = map(rounder, image_info["bbox"])
width, height = itemgetter("width", "height")(image_info)
return {
Info.WIDTH: width,
Info.HEIGHT: height,
Info.X1: x1,
Info.X2: x2,
Info.Y1: y1,
Info.Y2: y2,
}
def get_page_metadata(page):
page_width, page_height = map(rounder, page.mediabox_size)
return {
Info.PAGE_WIDTH: page_width,
Info.PAGE_HEIGHT: page_height,
Info.PAGE_IDX: page.number,
}
def extract_pages(doc, page_range):
page_range = range(page_range.start + 1, page_range.stop + 1)
pages = map(doc.load_page, page_range)
return pages
def load_image_from_xref(doc, xref):
maybe_image = doc.extract_image(xref)
return Image.open(io.BytesIO(maybe_image["image"])) if maybe_image else None
@lru_cache(maxsize=None)
def get_image_infos(page: fitz.Page):
return page.get_image_info(xrefs=True)
def get_images_on_page(doc, page: fitz.Page):
image_infos = get_image_infos(page)
xrefs = map(itemgetter("xref"), image_infos)
images = map(partial(load_image_from_xref, doc), xrefs)
return images
def get_metadata_for_images_on_page(page: fitz.Page):
image_infos = get_image_infos(page)
metadata = map(get_image_metadata, image_infos)
metadata = map(partial(merge, get_page_metadata(page)), metadata)
return metadata
class ParsablePDFImageExtractor(ImageExtractor):
def __init__(self, verbose=False):
self.doc: fitz.fitz.Document = None
self.verbose = verbose
def __process_images_on_page(self, page: fitz.fitz.Page):
images = get_images_on_page(self.doc, page)
metadata = get_metadata_for_images_on_page(page)
get_image_infos.cache_clear()
image_metadata_pairs = starmap(
ImageMetadataPair, filter(compose(all, curry(map)(truth)), zip(images, metadata))
)
image_metadata_pairs = stitch_pairs(list(image_metadata_pairs))
return image_metadata_pairs
def extract(self, pdf: bytes, page_range: range = None):
self.doc = fitz.Document(stream=pdf)
pages = extract_pages(self.doc, page_range) if page_range else self.doc
image_metadata_pairs = chain.from_iterable(
map(
self.__process_images_on_page,
tqdm(pages, desc="Extracting", disable=not self.verbose, total=len(page_range) if page_range else None),
)
)
return image_metadata_pairs