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# -*- encoding: utf-8 -*- | |
# @Author: SWHL | |
# @Contact: liekkaskono@163.com | |
import shutil | |
from pathlib import Path | |
import streamlit as st | |
from paddleocr_convert import PaddleOCRModelConvert | |
converter = PaddleOCRModelConvert() | |
st.markdown("<h1 style='text-align: center;'><a href='https://github.com/RapidAI/PaddleOCRModelConverter' style='text-decoration: none'>PaddleOCRModelConverter</a></h1>", unsafe_allow_html=True) | |
st.markdown(""" | |
<p> | |
<a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a> | |
<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a> | |
<a href="https://pypi.org/project/paddleocr_convert/"><img alt="PyPI" src="https://img.shields.io/pypi/v/paddleocr_convert"></a> | |
<a href="https://pepy.tech/project/paddleocr_convert"><img src="https://static.pepy.tech/personalized-badge/paddleocr_convert?period=total&units=abbreviation&left_color=grey&right_color=blue&left_text=Downloads"></a> | |
</p> | |
""", unsafe_allow_html=True) | |
st.markdown('戳这里查看支持模型列表:[PaddleOCR Models](https://github.com/PaddlePaddle/PaddleOCR/blob/40c56628fda416e1c8710eb19e4b260536902520/doc/doc_ch/models_list.md)') | |
st.markdown('⚠️注意:不支持slim量化后的模型') | |
default_url = 'e.g. https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar' | |
url = st.text_input('输入模型地址:', help=default_url) | |
default_txt_path = 'e.g. https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppocr/utils/ppocr_keys_v1.txt' | |
txt_url = st.text_input('输入txt地址(文本识别模型时,必选):', help=default_txt_path) | |
save_dir = 'models' | |
save_onnx_path = '' | |
is_convert = st.button('Convert') | |
if is_convert: | |
if not url or len(url) <= 0: | |
st.error('模型链接不能为空!') | |
st.stop() | |
if 'rec' in url and not txt_url: | |
st.error('识别模型对应字典不能为空') | |
st.stop() | |
with st.spinner("正在转换,请稍等........"): | |
save_onnx_path = converter(url, save_dir, | |
txt_path=txt_url, | |
is_del_raw=True) | |
st.success('转换成功,点击Download下载!', icon="✅") | |
if save_onnx_path: | |
with open(save_onnx_path, 'rb') as file: | |
is_download = st.download_button('Download', data=file, | |
file_name=Path(save_onnx_path).name) | |
if is_download: | |
shutil.rmtree(str(Path(save_onnx_path).resolve().parent)) | |