Delete run_ocr.py
Browse files- run_ocr.py +0 -74
run_ocr.py
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import argparse
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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import os
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from .conversation import conv_templates, SeparatorStyle
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from transformers import CLIPVisionModel, CLIPImageProcessor, StoppingCriteria
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from .utils import KeywordsStoppingCriteria, disable_torch_init
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from PIL import Image
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import os
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import requests
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from PIL import Image
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from io import BytesIO
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from .blip_process import BlipImageEvalProcessor
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from transformers import TextStreamer
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import re
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import string
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import string
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punctuation_dict = {
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"，": ",",
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"。": ".",
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}
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def svg_to_html(svg_content, output_filename):
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html_content = f"""
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>SVG Embedded in HTML</title>
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</head>
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<body>
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<svg width="2100" height="15000" xmlns="http://www.w3.org/2000/svg">
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{svg_content}
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</svg>
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</body>
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</html>
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"""
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with open(output_filename, 'w') as file:
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file.write(html_content)
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DEFAULT_IMAGE_TOKEN = "<image>"
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DEFAULT_IMAGE_PATCH_TOKEN = '<imgpad>'
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DEFAULT_IM_START_TOKEN = '<img>'
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DEFAULT_IM_END_TOKEN = '</img>'
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translation_table = str.maketrans(punctuation_dict)
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def load_image(image_file):
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if image_file.startswith('http') or image_file.startswith('https'):
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response = requests.get(image_file)
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image = Image.open(BytesIO(response.content)).convert('RGB')
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else:
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image = Image.open(image_file).convert('RGB')
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return image
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