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| import pandas as pd | |
| import PIL | |
| from PIL import Image | |
| from PIL import ImageDraw | |
| import gradio as gr | |
| import torch | |
| import easyocr | |
| import omegaconf | |
| from vietocr.vietocr.tool.predictor import Predictor | |
| from vietocr.vietocr.tool.config import Cfg | |
| # Configure of VietOCR | |
| config = Cfg.load_config_from_name('vgg_transformer') | |
| # config = Cfg.load_config_from_file('vietocr/config.yml') | |
| # config['weights'] = '/Users/bmd1905/Desktop/pretrain_ocr/vi00_vi01_transformer.pth' | |
| config['cnn']['pretrained'] = True | |
| config['predictor']['beamsearch'] = True | |
| config['device'] = 'cuda:0' # mps | |
| recognitor = Predictor(config) | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'english.png') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/thai.jpg', 'thai.jpg') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/french.jpg', 'french.jpg') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/chinese.jpg', 'chinese.jpg') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/japanese.jpg', 'japanese.jpg') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/korean.png', 'korean.png') | |
| torch.hub.download_url_to_file('https://i.imgur.com/mwQFd7G.jpeg', 'Hindi.jpeg') | |
| def draw_boxes(image, bounds, color='yellow', width=2): | |
| draw = ImageDraw.Draw(image) | |
| for bound in bounds: | |
| p0, p1, p2, p3 = bound[0] | |
| draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width) | |
| return image | |
| def inference(filepath, lang): | |
| reader = easyocr.Reader(lang) | |
| bounds = reader.readtext(filepath) | |
| new_bounds=[] | |
| for (bbox, text, prob) in bounds: | |
| x1,y1 = bbox[0] | |
| x2,y2 = bbox[1] | |
| x3,y3 = bbox[2] | |
| x4,y4 = bbox[3] | |
| # crop the region of interest (ROI) | |
| img = Image.open(filepath) | |
| #img = img[y0:y1, x0:x1] | |
| width, height =img.size | |
| cropped_image = img.crop((max(0,x1-5), max(0,y1-5), min(x3+5,width), min(y3+5, height))) # crop the image | |
| try: | |
| cropped_image = Image.fromarray(cropped_image) | |
| except: | |
| continue | |
| out = recognitor.predict(cropped_image) | |
| new_bounds.append((bbox,text, out, prob)) | |
| im = PIL.Image.open(filepath) | |
| draw_boxes(im, bounds) | |
| im.save('result.jpg') | |
| return ['result.jpg', pd.DataFrame(new_bounds).iloc[: , 2:]] | |
| title = 'EasyOCR' | |
| 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.' | |
| 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>" | |
| 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']]] | |
| css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" | |
| choices = [ | |
| "vi" | |
| ] | |
| gr.Interface( | |
| inference, | |
| [gr.inputs.Image(type='filepath', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['vi'], label='language')], | |
| [gr.outputs.Image(type='pil', label='Output'), gr.outputs.Dataframe(type='pandas', headers=['easyOCR','vietOCR', 'confidence'])], | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| css=css, | |
| enable_queue=True | |
| ).launch(debug=True) |