Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
dunno how to fic
Browse files- rvl_cdip_easyOCR.py +11 -5
rvl_cdip_easyOCR.py
CHANGED
@@ -88,7 +88,9 @@ class RvlCdipEasyOCR(datasets.GeneratorBasedBuilder):
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"image": datasets.Image(),
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"label": datasets.ClassLabel(names=_CLASSES),
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"words": datasets.Sequence(datasets.Value("string")),
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-
"boxes": datasets.Sequence(
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}
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),
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homepage=_HOMEPAGE,
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@@ -104,7 +106,7 @@ class RvlCdipEasyOCR(datasets.GeneratorBasedBuilder):
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_URLS["rvl-cdip"]
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) # only download images if need be
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labels_path = dl_manager.download(_METADATA_URLS)
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-
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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@@ -155,7 +157,7 @@ class RvlCdipEasyOCR(datasets.GeneratorBasedBuilder):
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os.path.join(OCR_dir, f"Easy_{split[0].upper()+split[1:]}_Data.npy"),
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allow_pickle=True,
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)
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-
for ex in tqdm(data, desc=
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w, h = ex["images"][0]["image_width"], ex["images"][0]["image_height"]
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filename = ex["images"][0]["file_name"]
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words = ex["word-level annotations"][0]["ocred_text"]
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@@ -174,7 +176,9 @@ class RvlCdipEasyOCR(datasets.GeneratorBasedBuilder):
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return words, boxes
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def _generate_examples(self, archive_iterator, labels_filepath, split):
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-
from pdb import set_trace
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with open(labels_filepath, encoding="utf-8") as f:
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data = f.read().splitlines()
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@@ -195,5 +199,7 @@ class RvlCdipEasyOCR(datasets.GeneratorBasedBuilder):
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boxes=boxes,
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)
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print(a)
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-
from pdb import set_trace
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yield file_path, a
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"image": datasets.Image(),
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"label": datasets.ClassLabel(names=_CLASSES),
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"words": datasets.Sequence(datasets.Value("string")),
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+
"boxes": datasets.Sequence(
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+
datasets.Sequence(datasets.Value("int32"))
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+
),
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}
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),
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homepage=_HOMEPAGE,
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_URLS["rvl-cdip"]
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) # only download images if need be
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labels_path = dl_manager.download(_METADATA_URLS)
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+
from pdb import set_trace; set_trace()
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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os.path.join(OCR_dir, f"Easy_{split[0].upper()+split[1:]}_Data.npy"),
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allow_pickle=True,
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)
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+
for ex in tqdm(data, desc="Loading OCR data"):
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w, h = ex["images"][0]["image_width"], ex["images"][0]["image_height"]
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filename = ex["images"][0]["file_name"]
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words = ex["word-level annotations"][0]["ocred_text"]
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return words, boxes
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def _generate_examples(self, archive_iterator, labels_filepath, split):
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+
from pdb import set_trace
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+
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set_trace()
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with open(labels_filepath, encoding="utf-8") as f:
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data = f.read().splitlines()
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boxes=boxes,
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)
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print(a)
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+
from pdb import set_trace
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+
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set_trace()
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yield file_path, a
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