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Runtime error
Update app.py
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app.py
CHANGED
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@@ -50,12 +50,12 @@ def inference(filepath, lang):
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# crop the region of interest (ROI)
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img = Image.open(filepath)
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#img = img[y0:y1, x0:x1]
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img = img.crop((x1, y1, x3, y3)) # crop the image
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img = process_input(img, config['dataset']['image_height'],
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config['dataset']['image_min_width'], config['dataset']['image_max_width'])
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out = translate(img, model)[0].tolist()
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out = vocab.decode(out)
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new_bounds.append((bbox, out, prob))
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im = PIL.Image.open(filepath)
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draw_boxes(im, bounds)
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im.save('result.jpg')
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@@ -67,94 +67,12 @@ article = "<p style='text-align: center'><a href='https://www.jaided.ai/easyocr/
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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='filepath', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['
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[gr.outputs.Image(type='pil', label='Output'), gr.outputs.Dataframe(type='pandas', headers=['
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title=title,
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description=description,
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article=article,
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# crop the region of interest (ROI)
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img = Image.open(filepath)
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#img = img[y0:y1, x0:x1]
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img = img.crop((max(0,x1-5), max(y1-5), min(x3+5,width), min(y3+5, height)) # crop the image
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img = process_input(img, config['dataset']['image_height'],
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config['dataset']['image_min_width'], config['dataset']['image_max_width'])
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out = translate(img, model)[0].tolist()
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out = vocab.decode(out)
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new_bounds.append((bbox,text, out, prob))
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im = PIL.Image.open(filepath)
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draw_boxes(im, bounds)
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im.save('result.jpg')
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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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"vi"
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]
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gr.Interface(
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inference,
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[gr.inputs.Image(type='filepath', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['vi'], label='language')],
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[gr.outputs.Image(type='pil', label='Output'), gr.outputs.Dataframe(type='pandas', headers=['easyOCR','vietOCR', 'confidence'])],
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title=title,
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description=description,
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article=article,
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