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d2924de
1
Parent(s):
2618251
Update files/functions.py
Browse files- files/functions.py +21 -12
files/functions.py
CHANGED
@@ -68,27 +68,36 @@ label2color = {
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# bounding boxes start and end of a sequence
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cls_box = [0, 0, 0, 0]
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#
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# tokenizer
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# (tokenization) The maximum length of a feature (sequence)
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if str(384) in
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elif str(512) in
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else:
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print("Error with
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# (tokenization) overlap
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doc_stride = 128 # The authorized overlap between two part of the context when splitting it is needed.
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# max PDF page images that will be displayed
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max_imgboxes =
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# get files
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examples_dir = 'files/'
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@@ -97,7 +106,7 @@ from huggingface_hub import hf_hub_download
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files = ["example.pdf", "blank.pdf", "blank.png", "languages_iso.csv", "languages_tesseract.csv", "wo_content.png"]
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for file_name in files:
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path_to_file = hf_hub_download(
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repo_id = "pierreguillou/Inference-APP-Document-Understanding-at-paragraphlevel-
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filename = "files/" + file_name,
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repo_type = "space"
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)
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# bounding boxes start and end of a sequence
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cls_box = [0, 0, 0, 0]
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sep_box_lilt = cls_box
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sep_box_layoutxlm = [1000, 1000, 1000, 1000]
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# models
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model_id_lilt = "pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512"
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model_id_layoutxlm = "pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512"
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# tokenizer for LayoutXLM
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tokenizer_id_layoutxlm = "xlm-roberta-base"
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# (tokenization) The maximum length of a feature (sequence)
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if str(384) in model_id_lilt:
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max_length_lilt = 384
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elif str(512) in model_id_lilt:
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max_length_lilt = 512
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else:
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print("Error with max_length_lilt of chunks!")
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if str(384) in model_id_layoutxlm:
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max_length_layoutxlm = 384
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elif str(512) in model_id_layoutxlm:
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max_length_layoutxlm = 512
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else:
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print("Error with max_length_layoutxlm of chunks!")
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# (tokenization) overlap
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doc_stride = 128 # The authorized overlap between two part of the context when splitting it is needed.
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# max PDF page images that will be displayed
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max_imgboxes = 1
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# get files
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examples_dir = 'files/'
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files = ["example.pdf", "blank.pdf", "blank.png", "languages_iso.csv", "languages_tesseract.csv", "wo_content.png"]
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for file_name in files:
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path_to_file = hf_hub_download(
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repo_id = "pierreguillou/Inference-comparison-APP-Document-Understanding-at-paragraphlevel-v1",
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filename = "files/" + file_name,
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repo_type = "space"
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)
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