0.10.6 —-
import os
from magic_pdf.data.data_reader_writer import FileBasedDataWriter, FileBasedDataReader
from magic_pdf.data.dataset import PymuDocDataset
from magic_pdf.model.doc_analyze_by_custom_model import doc_analyze
from magic_pdf.config.enums import SupportedPdfParseMethod
# args
pdf_file_name = "demo/demo1.pdf" # replace with the real pdf path
name_without_suff = pdf_file_name.split(".")[0]
# prepare env
local_image_dir, local_md_dir = "output/images", "output"
image_dir = str(os.path.basename(local_image_dir))
os.makedirs(local_image_dir, exist_ok=True)
image_writer, md_writer = FileBasedDataWriter(local_image_dir), FileBasedDataWriter(
local_md_dir
)
image_dir = str(os.path.basename(local_image_dir))
# read bytes
reader1 = FileBasedDataReader("")
pdf_bytes = reader1.read(pdf_file_name) # read the pdf content
# proc
## Create Dataset Instance
ds = PymuDocDataset(pdf_bytes)
## inference
if ds.classify() == SupportedPdfParseMethod.OCR:
infer_result = ds.apply(doc_analyze, ocr=True)
## pipeline
pipe_result = infer_result.pipe_ocr_mode(image_writer)
else:
infer_result = ds.apply(doc_analyze, ocr=False)
## pipeline
pipe_result = infer_result.pipe_txt_mode(image_writer)
### draw model result on each page
infer_result.draw_model(os.path.join(local_md_dir, f"{name_without_suff}_model.pdf"))
### draw layout result on each page
pipe_result.draw_layout(os.path.join(local_md_dir, f"{name_without_suff}_layout.pdf"))
### draw spans result on each page
pipe_result.draw_span(os.path.join(local_md_dir, f"{name_without_suff}_spans.pdf"))
### dump markdown
pipe_result.dump_md(md_writer, f"{name_without_suff}.md", image_dir)
### dump content list
pipe_result.dump_content_list(md_writer, f"{name_without_suff}_content_list.json", image_dir)
current_directory = os.getcwd()
print("当前工作目录:", current_directory)
home_dir = current_directory
将原来读取magic-pdf.json文件的路径从/root/magic-pdf.json更改为/home/MinerU/magic-pdf.json