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Duplicate from tomofi/EasyOCR
Browse filesCo-authored-by: Tomofumi Inoue <[email protected]>
- .gitattributes +27 -0
- README.md +14 -0
- app.py +132 -0
- requirements.txt +5 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: EasyOCR
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emoji: 🔥
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colorFrom: red
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colorTo: indigo
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sdk: gradio
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sdk_version: 2.8.10
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app_file: app.py
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pinned: false
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license: mit
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duplicated_from: tomofi/EasyOCR
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
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app.py
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import pandas as pd
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import PIL
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from PIL import Image
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from PIL import ImageDraw
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import gradio as gr
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import torch
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import easyocr
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'english.png')
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/thai.jpg', 'thai.jpg')
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/french.jpg', 'french.jpg')
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/chinese.jpg', 'chinese.jpg')
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/japanese.jpg', 'japanese.jpg')
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torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/korean.png', 'korean.png')
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torch.hub.download_url_to_file('https://i.imgur.com/mwQFd7G.jpeg', 'Hindi.jpeg')
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def draw_boxes(image, bounds, color='yellow', width=2):
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draw = ImageDraw.Draw(image)
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for bound in bounds:
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p0, p1, p2, p3 = bound[0]
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draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)
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return image
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def inference(img, lang):
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reader = easyocr.Reader(lang)
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bounds = reader.readtext(img.name)
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im = PIL.Image.open(img.name)
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draw_boxes(im, bounds)
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im.save('result.jpg')
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return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
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title = 'EasyOCR'
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description = 'Gradio demo for EasyOCR. EasyOCR demo supports 80+ languages.To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
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article = "<p style='text-align: center'><a href='https://www.jaided.ai/easyocr/'>Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.</a> | <a href='https://github.com/JaidedAI/EasyOCR'>Github Repo</a></p>"
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examples = [['english.png',['en']],['thai.jpg',['th']],['french.jpg',['fr', 'en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['korean.png',['ko', 'en']],['Hindi.jpeg',['hi', 'en']]]
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css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
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choices = [
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"abq",
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"ady",
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"af",
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"ang",
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"ar",
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"as",
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"ava",
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"az",
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"be",
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"bg",
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"bh",
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"bho",
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"bn",
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"bs",
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"ch_sim",
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"ch_tra",
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"che",
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"cs",
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"cy",
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"da",
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"dar",
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"de",
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"en",
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"es",
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"et",
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"fa",
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"fr",
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"ga",
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"gom",
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"hi",
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"hr",
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"hu",
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"id",
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"inh",
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"is",
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"it",
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"ja",
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"kbd",
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"kn",
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"ko",
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"ku",
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"la",
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"lbe",
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"lez",
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"lt",
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"lv",
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"mah",
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"mai",
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"mi",
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"mn",
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"mr",
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"ms",
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"mt",
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"ne",
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"new",
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"nl",
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"no",
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"oc",
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"pi",
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"pl",
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"pt",
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"ro",
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"ru",
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"rs_cyrillic",
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"rs_latin",
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"sck",
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"sk",
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"sl",
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"sq",
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"sv",
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"sw",
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"ta",
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"tab",
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"te",
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"th",
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"tjk",
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"tl",
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"tr",
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"ug",
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"uk",
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"ur",
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"uz",
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"vi"
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]
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gr.Interface(
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inference,
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[gr.inputs.Image(type='file', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['en'], label='language')],
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[gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])],
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title=title,
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description=description,
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article=article,
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examples=examples,
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css=css,
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enable_queue=True
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).launch(debug=True)
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requirements.txt
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opencv-python-headless<4.3
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Pillow
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gradio
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torch
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easyocr
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