Upload home_page.py
Browse files- home_page.py +39 -0
home_page.py
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import streamlit as st
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import os
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os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
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st.markdown("""
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<style>
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.block-container {
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padding-top: 1rem;
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padding-bottom: 1rem;
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padding-left: 1rem;
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padding-right: 2rem;
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}
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</style>
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""", unsafe_allow_html=True)
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st.image('ocr.png', width=900)
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st.write("")
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st.write("")
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lib = "This app allows you to **compare**, from a given image, the results of different solutions: \n*EasyOcr, PaddleOCR, MMOCR, Tesseract*"
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st.markdown('''##### :blue-background[:orange[OCR]]:orange[, or Optical Character Recognition,] ''')
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st.markdown('''is a computer vision task, \
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which includes the detection of text areas, and the recognition of characters.''')
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st.markdown(lib)
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st.markdown('''**Before** evaluate OCR solutions, you can check if image quality is good enough for \
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OCR task. If not, you could try to **enhance** it before, with some processing operations.
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π Select the :blue-background[:orange[**About**]] page from the sidebar for information on how the app works''')
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st.markdown("π or select the :blue-background[:orange[**Image processing**]] page to check and enhance your image")
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st.markdown("π or directly select the :blue-background[:orange[**OCR Comparator**]] page")
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#import mim
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#
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#mim.install(['mmengine>=0.7.1,<1.1.0'])
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#mim.install(['mmcv>=2.0.0rc4,<2.1.0'])
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#mim.install(['mmdet>=3.0.rc5,<3.2.0'])
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#mim.install(['mmocr'])
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