cache loader on server
Browse files- cache_loader.py +24 -17
cache_loader.py
CHANGED
@@ -3,11 +3,12 @@ from io import BytesIO
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from tqdm import tqdm
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from typing import Callable, Dict, List, Literal, NamedTuple, Optional, Tuple, Union
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from datasets import load_dataset
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from PIL import Image
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import fitz as PyMuPDF
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def pymupdf_image_extraction(data: bytes):
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images = []
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@@ -18,38 +19,44 @@ def pymupdf_image_extraction(data: bytes):
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xref = img[0]
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base_image = pdf_file.extract_image(xref)
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image_bytes = base_image["image"]
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image_ext = base_image["ext"]
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im = Image.open(BytesIO(image_bytes))
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images.append(im)
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return images
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def batch_get_images(streams
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return {
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"images":
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[pymupdf_image_extraction(pdf_stream) for pdf_stream in streams
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}
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def
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return {
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"pages":
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[
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desc="get_pages",
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)
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}
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testds = load_dataset("jordyvl/rvl_cdip_multi", cache_dir="/mnt/lerna/data/HFcache", split="test")
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testds = testds.map(func, batched=True, keep_in_memory=False)
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func = lambda batch: batch_get_images(batch["file"]
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testds = testds.map(func, batched=True, keep_in_memory=False)
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import pdb
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pdb.set_trace() # breakpoint
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"""
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Filter based on page count?
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from tqdm import tqdm
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from typing import Callable, Dict, List, Literal, NamedTuple, Optional, Tuple, Union
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from datasets import load_dataset, logging
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from PIL import Image
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import fitz as PyMuPDF
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logger = logging.get_logger(__name__)
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def pymupdf_image_extraction(data: bytes):
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images = []
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xref = img[0]
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base_image = pdf_file.extract_image(xref)
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image_bytes = base_image["image"]
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im = Image.open(BytesIO(image_bytes))
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images.append(im) #<PIL.PngImagePlugin.PngImageFile image mode=L size=2560x3320 at 0x7FD32E7430A0>
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return images
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def batch_get_images(streams):
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return {
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"images":
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[pymupdf_image_extraction(pdf_stream) for pdf_stream in tqdm(streams, desc="get_images")]
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}
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def pymupdf_page_extraction(pdf_stream):
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try:
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return len(PyMuPDF.open(stream=pdf_stream, filetype="pdf"))
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except Exception as e:
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logger.warning(f"{e}")
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return 0
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def batch_get_pages(streams):
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return {
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"pages":
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[pymupdf_page_extraction(pdf_stream) for pdf_stream in tqdm(streams, desc="get_pages")],
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}
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testds = load_dataset("jordyvl/rvl_cdip_multi", cache_dir="/mnt/lerna/data/HFcache", split="test", revision="d3a654c9f63f14d0aaa94e08aa30aa3dc20713c1")
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func = lambda batch: batch_get_pages(batch["file"])
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testds = testds.map(func, batched=True, keep_in_memory=False)
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testds = testds.filter(lambda example: example["pages"] != 0)
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func = lambda batch: batch_get_images(batch["file"])
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testds = testds.map(func, batched=True, keep_in_memory=False)
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import pdb; pdb.set_trace() # breakpoint 70086661 //
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"""
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Filter based on page count?
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