Commit
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1b1faab
1
Parent(s):
7179db2
refactor app.py
Browse files
app.py
CHANGED
@@ -231,9 +231,9 @@ EXAMPLE_TEST = [
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["examples/tech.png"],
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]
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DESC_DICT = {
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"use_doc_orientation_classify": "
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"use_doc_unwarping": "
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"use_textline_orientation": "
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"text_det_limit_type": "[Short side] means to ensure that the shortest side of the image is not less than [Image side length limit for text detection], and [Long side] means to ensure that the longest side of the image is not greater than [Image side length limit for text detection].",
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"text_det_limit_side_len_nb": "For the side length limit of the text detection input image, for large images with dense text, if you want more accurate recognition, you should choose a larger size. This parameter is used in conjunction with the [Image side length limit type for text detection]. Generally, the maximum [Long side] is suitable for scenes with large images and text, and the minimum [Short side] is suitable for document scenes with small and dense images.",
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"text_det_thresh_nb": "In the output probability map, only pixels with scores greater than the threshold are considered text pixels, and the value range is 0~1.",
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["examples/tech.png"],
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]
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DESC_DICT = {
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+
"use_doc_orientation_classify": "Enable the document image orientation classification module. When enabled, you can correct distorted images, such as wrinkles, tilts, etc.",
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"use_doc_unwarping": "Enable the document unwarping module. When enabled, you can correct distorted images, such as wrinkles, tilts, etc.",
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"use_textline_orientation": "Enable the text line orientation classification module to support the distinction and correction of text lines of 0 degrees and 180 degrees.",
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"text_det_limit_type": "[Short side] means to ensure that the shortest side of the image is not less than [Image side length limit for text detection], and [Long side] means to ensure that the longest side of the image is not greater than [Image side length limit for text detection].",
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"text_det_limit_side_len_nb": "For the side length limit of the text detection input image, for large images with dense text, if you want more accurate recognition, you should choose a larger size. This parameter is used in conjunction with the [Image side length limit type for text detection]. Generally, the maximum [Long side] is suitable for scenes with large images and text, and the minimum [Short side] is suitable for document scenes with small and dense images.",
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"text_det_thresh_nb": "In the output probability map, only pixels with scores greater than the threshold are considered text pixels, and the value range is 0~1.",
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