Update cvdataset-layoutlmv3.py
Browse files- cvdataset-layoutlmv3.py +17 -14
cvdataset-layoutlmv3.py
CHANGED
@@ -1,16 +1,16 @@
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import json
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import os
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from pathlib import Path
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from PIL import Image
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import pandas as pd
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@article{LayoutLmv3 for CV extractions,
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title={LayoutLmv3for Key Information Extraction},
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author={
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year={2022},
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}
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"""
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@@ -19,10 +19,12 @@ CV is a collection of receipts. It contains, for each photo about cv personal, a
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https://arxiv.org/abs/2103.14470
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"""
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def load_image(image_path):
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image = Image.open(image_path)
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w, h = image.size
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def normalize_bbox(bbox, size):
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return [
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@@ -32,6 +34,7 @@ def normalize_bbox(bbox, size):
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int(1000 * bbox[3] / size[1]),
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]
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def _get_drive_url(url):
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base_url = 'https://drive.google.com/uc?id='
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split_url = url.split('/')
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@@ -39,23 +42,24 @@ def _get_drive_url(url):
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return base_url + split_url[5]
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_URLS = [
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_get_drive_url("https://drive.google.com/file/d/1bqESdP3UhQ5H9ZEnn5NsH44FZmiQa0G_/"),
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_get_drive_url("https://drive.google.com/file/d/11SRDeRKUr8XacB7tauiGjkw1PXDGFKUx/"),
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_get_drive_url("https://drive.google.com/file/d/1KdDBmGP96lFc7jv2Bf4eqrO121ST-TCh/"),
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]
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class
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"""BuilderConfig for WildReceipt Dataset"""
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def __init__(self, **kwargs):
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"""BuilderConfig for WildReceipt Dataset.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(
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class CVDataset(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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]
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def _info(self):
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@@ -88,23 +92,22 @@ class CVDataset(datasets.GeneratorBasedBuilder):
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"""Returns SplitGenerators."""
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"""Uses local files located with data_dir"""
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downloaded_file = dl_manager.download_and_extract(_URLS)
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dest = Path(downloaded_file[0])/'
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"
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),
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]
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def _generate_examples(self, filepath, dest):
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df = pd.read_csv(dest/'
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id2labels = dict(zip(df[0].tolist(), df[1].tolist()))
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logger.info("⏳ Generating examples from = %s", filepath)
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item_list = []
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import json
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import pandas as pd
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import datasets
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from pathlib import Path
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from PIL import Image
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@article{LayoutLmv3 for CV extractions,
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title={LayoutLmv3for Key Information Extraction},
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author={Misa R&D Team},
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year={2022},
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}
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"""
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https://arxiv.org/abs/2103.14470
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"""
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def load_image(image_path):
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image = Image.open(image_path).convert("RGB")
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w, h = image.size
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return image, (w, h)
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def normalize_bbox(bbox, size):
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return [
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int(1000 * bbox[3] / size[1]),
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]
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def _get_drive_url(url):
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base_url = 'https://drive.google.com/uc?id='
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split_url = url.split('/')
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return base_url + split_url[5]
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_URLS = [
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_get_drive_url("https://drive.google.com/file/d/1fHDcNKdYFu33Z0kOQzVemLwjuuc3tdg-/"),
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_get_drive_url("https://drive.google.com/file/d/1bqESdP3UhQ5H9ZEnn5NsH44FZmiQa0G_/"),
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_get_drive_url("https://drive.google.com/file/d/11SRDeRKUr8XacB7tauiGjkw1PXDGFKUx/"),
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_get_drive_url("https://drive.google.com/file/d/1KdDBmGP96lFc7jv2Bf4eqrO121ST-TCh/"),
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]
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class CVENConfig(datasets.BuilderConfig):
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"""BuilderConfig for WildReceipt Dataset"""
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def __init__(self, **kwargs):
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"""BuilderConfig for WildReceipt Dataset.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(CVENConfig, self).__init__(**kwargs)
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class CVDataset(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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CVENConfig(name="CV Extractions", version=datasets.Version("1.0.0"), description="CV dataset"),
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]
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def _info(self):
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"""Returns SplitGenerators."""
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"""Uses local files located with data_dir"""
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downloaded_file = dl_manager.download_and_extract(_URLS)
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dest = Path(downloaded_file[0])/'data2'
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": dest/"train_en.txt", "dest": dest}
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST, gen_kwargs={"filepath": dest/"test_en.txt", "dest": dest}
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),
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]
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def _generate_examples(self, filepath, dest):
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df = pd.read_csv(dest/'class_list.txt', delimiter='\s', header=None)
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id2labels = dict(zip(df[0].tolist(), df[1].tolist()))
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logger.info("⏳ Generating examples from = %s", filepath)
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item_list = []
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