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import os |
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os.system('pip install paddlepaddle') |
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os.system('pip install paddleocr') |
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import requests |
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from paddleocr import PaddleOCR, draw_ocr |
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from PIL import Image |
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import gradio as gr |
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ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False) |
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def download_image(url, save_path): |
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""" |
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Download an image from a specified URL and save it to the specified path |
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Args: |
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url (str): URL of the image |
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save_path (str): Path to save the image |
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Returns: |
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bool: True if download is successful, False otherwise |
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""" |
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try: |
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response = requests.get(url, stream=True) |
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if response.status_code == 200: |
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with open(save_path, 'wb') as file: |
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for chunk in response.iter_content(chunk_size=8192): |
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file.write(chunk) |
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print(f"Image successfully downloaded and saved as: {save_path}") |
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return True |
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else: |
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print(f"Download failed, status code: {response.status_code}") |
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return False |
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except Exception as e: |
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print(f"Error occurred during download: {str(e)}") |
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return False |
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image_url = "https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/v2.8.0/doc/imgs_en/img_12.jpg" |
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download_image(image_url, "example.jpg") |
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def inference(img, lang): |
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img_path = img |
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result = ocr.ocr(img_path, cls=True)[0] |
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image = Image.open(img_path).convert('RGB') |
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boxes = [line[0] for line in result] |
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txts = [line[1][0] for line in result] |
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scores = [line[1][1] for line in result] |
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im_show = draw_ocr(image, boxes, txts, scores, |
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font_path='./simfang.ttf') |
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im_show = Image.fromarray(im_show) |
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im_show.save('result.jpg') |
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return 'result.jpg' |
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title = 'PaddleOCR' |
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description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. 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'>Awesome multilingual OCR toolkits based on PaddlePaddle <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>" |
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examples = [['example.jpg','en']] |
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css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" |
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gr.Interface( |
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inference, |
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[gr.Image(type='filepath', label='Input'), gr.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], value='en', label='language')], |
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gr.Image(type='filepath', label='Output'), |
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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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).launch(debug=True) |
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