Comments (1)
It doesn't differentiate between header levels right now. I'm planning to improve the detection of block types, but it's behind a few things on the roadmap
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Related Issues (20)
- One general question.
- how to use extra settings , like OCR_ALL_PAGES ? HOT 1
- Cannot convert inline latex
- Memory Leak when Converting Long PDFs to Markdown HOT 1
- ImportError: Cannot import 'flush_cuda_memory' from marker.utils HOT 1
- Output from marker_single and marker is different
- Token indices sequence length is longer than the specified maximum sequence length for this model (557>384)
- Issue Parsing Hand Written Material
- What's the lowest torch version of requirements? MUST upgrade to 2.4.0?
- subprocess.CalledProcessError: Command 'marker /data/mypdf/data/tmp /data/mypdf/tmp_pdf --workers 2 --max 2 ' died with <Signals.SIGSEGV: 11>.
- ImportError: cannot import name 'segformer' from 'surya.model.detection' (unknown location) HOT 1
- CONFUSING! About Optional: OCRMyPDF HOT 3
- IMPORTANT:Total elapsed time of loading model is 3.1 minutes, super slow, is it normal? HOT 3
- Issues about "OCR_ALL_PAGES" and "num_chunks"
- upload image to s3 automatically
- AttributeError: 'NoneType' object has no attribute 'bboxes'
- suggest to json.dumps with `ensure_ascii=False`
- Help!settings is not Take effect HOT 1
- Cannot use MPS with torch multiprocessing share_memory HOT 3
- OCR_ENGINE=None Doesn't work HOT 1
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