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Commit ·
2741781
1
Parent(s): d8be19f
commercial_invoice working for one invoice image
Browse files- __pycache__/Get_Bounding_Boxes.cpython-310.pyc +0 -0
- commercial_invoice.py +78 -0
- coordinates_CI.json +349 -0
- requirements.txt +1 -1
__pycache__/Get_Bounding_Boxes.cpython-310.pyc
ADDED
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Binary file (1.16 kB). View file
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commercial_invoice.py
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@@ -0,0 +1,78 @@
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import json
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from PIL import Image
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import pytesseract
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def load_field_areas(coordinates_json):
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"""Carga y procesa las coordenadas desde el archivo JSON"""
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with open(coordinates_json, 'r') as f:
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data = json.load(f)
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field_areas = {}
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for box in data['boxes']:
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x = float(box['x'])
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y = float(box['y'])
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width = float(box['width'])
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height = float(box['height'])
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field_areas[box['label']] = {
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"x1": int(x - width/2),
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"y1": int(y - height/2),
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"x2": int(x + width/2),
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"y2": int(y + height/2)
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}
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return field_areas, data['width'], data['height']
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def extract_text_from_area(image, area, margin=10):
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"""Extrae texto de un área específica de la imagen con margen de tolerancia"""
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# Aplicar margen a las coordenadas
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x1 = max(0, area["x1"] - margin)
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y1 = max(0, area["y1"] - margin)
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x2 = min(image.width, area["x2"] + margin)
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y2 = min(image.height, area["y2"] + margin)
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# Recortar la imagen al área especificada
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crop = image.crop((x1, y1, x2, y2))
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# Configurar parámetros de OCR para mejor precisión
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custom_config = r'--oem 3 --psm 6'
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text = pytesseract.image_to_string(crop, lang='eng', config=custom_config).strip()
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return text
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def process_invoice(image_path, coordinates_json, margin=10):
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"""Procesa la factura y extrae los campos con margen de tolerancia"""
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# Cargar imagen
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image = Image.open(image_path)
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# Cargar áreas de los campos
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field_areas, img_width, img_height = load_field_areas(coordinates_json)
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# Ajustar imagen si es necesario
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if image.size != (img_width, img_height):
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image = image.resize((img_width, img_height))
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# Extraer texto de cada área
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extracted_fields = {}
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for label, area in field_areas.items():
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text = extract_text_from_area(image, area, margin)
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if text:
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extracted_fields[label] = text
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else:
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# Si no se encuentra texto, intentar con un margen mayor
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text = extract_text_from_area(image, area, margin * 2)
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if text:
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extracted_fields[label] = text
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return extracted_fields
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if __name__ == "__main__":
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# Rutas de archivos
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image_path = "./invoices/pagina_9.jpg"
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coordinates_json = "./coordinates_CI.json"
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# Procesar factura
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results = process_invoice(image_path, coordinates_json, margin=10)
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# Imprimir resultados
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print("\nCampos encontrados:")
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for field, value in results.items():
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print(f"{field}: {value}")
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coordinates_CI.json
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@@ -0,0 +1,349 @@
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| 1 |
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{
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"boxes": [
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| 3 |
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{
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"id": "1",
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| 5 |
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"label": "Farm",
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| 6 |
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"x": "950.00",
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| 7 |
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"y": "158.33",
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| 8 |
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"width": "1040.00",
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| 9 |
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"height": "50.00",
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| 10 |
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"confidence": null
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| 11 |
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},
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| 12 |
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{
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| 13 |
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"id": "2",
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| 14 |
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"label": "Farm_ruc",
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| 15 |
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"x": "623.33",
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| 16 |
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"y": "220.00",
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| 17 |
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"width": "380.00",
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| 18 |
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"height": "66.67",
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| 19 |
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"confidence": null
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| 20 |
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},
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| 21 |
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{
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"id": "3",
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| 23 |
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"label": "Farm_address",
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| 24 |
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"x": "946.67",
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"y": "286.67",
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| 26 |
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"width": "1040.00",
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| 27 |
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"height": "53.33",
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| 28 |
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"confidence": null
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},
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{
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"id": "4",
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| 32 |
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"label": "Farm_city_country",
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| 33 |
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"x": "870.00",
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| 34 |
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"y": "385.00",
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| 35 |
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"width": "873.33",
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| 36 |
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"height": "50.00",
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| 37 |
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"confidence": null
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| 38 |
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},
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| 39 |
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{
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| 40 |
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"id": "5",
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| 41 |
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"label": "Farm_phone",
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| 42 |
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"x": "583.33",
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| 43 |
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"y": "451.67",
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| 44 |
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"width": "306.67",
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| 45 |
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"height": "63.33",
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| 46 |
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"confidence": null
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| 47 |
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},
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| 48 |
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{
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| 49 |
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"id": "6",
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| 50 |
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"label": "Client",
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| 51 |
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"x": "951.67",
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| 52 |
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"y": "631.67",
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| 53 |
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"width": "1056.67",
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| 54 |
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"height": "50.00",
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| 55 |
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"confidence": null
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| 56 |
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},
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| 57 |
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{
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| 58 |
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"id": "7",
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| 59 |
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"label": "Client_address",
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| 60 |
+
"x": "953.33",
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| 61 |
+
"y": "696.67",
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| 62 |
+
"width": "1066.67",
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| 63 |
+
"height": "60.00",
|
| 64 |
+
"confidence": null
|
| 65 |
+
},
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| 66 |
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{
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| 67 |
+
"id": "8",
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| 68 |
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"label": "Client_city_country",
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| 69 |
+
"x": "621.67",
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| 70 |
+
"y": "761.67",
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| 71 |
+
"width": "390.00",
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| 72 |
+
"height": "56.67",
|
| 73 |
+
"confidence": null
|
| 74 |
+
},
|
| 75 |
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{
|
| 76 |
+
"id": "9",
|
| 77 |
+
"label": "Client_phone",
|
| 78 |
+
"x": "618.33",
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| 79 |
+
"y": "828.33",
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| 80 |
+
"width": "390.00",
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| 81 |
+
"height": "56.67",
|
| 82 |
+
"confidence": null
|
| 83 |
+
},
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| 84 |
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{
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| 85 |
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"id": "A",
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| 86 |
+
"label": "invoice_date",
|
| 87 |
+
"x": "1846.67",
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| 88 |
+
"y": "151.67",
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| 89 |
+
"width": "220.00",
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| 90 |
+
"height": "50.00",
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| 91 |
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"confidence": null
|
| 92 |
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},
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| 93 |
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{
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| 94 |
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"id": "B",
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| 95 |
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"label": "invoice_number",
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| 96 |
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"x": "1868.33",
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| 97 |
+
"y": "255.00",
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| 98 |
+
"width": "223.33",
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| 99 |
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"height": "50.00",
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| 100 |
+
"confidence": null
|
| 101 |
+
},
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| 102 |
+
{
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| 103 |
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"id": "C",
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| 104 |
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"label": "invoice_country",
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| 105 |
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"x": "1840.00",
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| 106 |
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"y": "308.33",
|
| 107 |
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"width": "186.67",
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| 108 |
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"height": "36.67",
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| 109 |
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"confidence": null
|
| 110 |
+
},
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| 111 |
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{
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| 112 |
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"id": "D",
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| 113 |
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"label": "Fue",
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| 114 |
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"x": "1970.00",
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| 115 |
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"y": "401.67",
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| 116 |
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"width": "460.00",
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| 117 |
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"height": "50.00",
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| 118 |
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"confidence": null
|
| 119 |
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},
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| 120 |
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{
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| 121 |
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"id": "E",
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| 122 |
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"label": "Air_way_bill",
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| 123 |
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"x": "1991.67",
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| 124 |
+
"y": "453.33",
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| 125 |
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"width": "330.00",
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| 126 |
+
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| 127 |
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| 128 |
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{
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| 130 |
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| 131 |
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| 132 |
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| 134 |
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| 137 |
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| 139 |
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| 140 |
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| 141 |
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| 143 |
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| 144 |
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| 146 |
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| 147 |
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|
| 148 |
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|
| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 164 |
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| 166 |
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| 167 |
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| 175 |
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| 176 |
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| 177 |
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| 190 |
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| 191 |
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| 192 |
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{
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| 193 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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{
|
| 202 |
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"id": "N",
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 218 |
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| 219 |
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| 220 |
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| 221 |
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| 222 |
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| 224 |
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| 239 |
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| 240 |
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| 267 |
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| 269 |
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| 278 |
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| 280 |
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| 282 |
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| 284 |
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| 285 |
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| 286 |
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| 287 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 293 |
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| 294 |
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| 295 |
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| 296 |
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| 302 |
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| 304 |
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| 308 |
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| 312 |
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| 321 |
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| 322 |
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| 323 |
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| 327 |
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| 328 |
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| 330 |
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| 332 |
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| 333 |
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| 334 |
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| 335 |
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| 336 |
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| 337 |
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| 338 |
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| 339 |
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| 346 |
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"height": 3509,
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| 347 |
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"key": "pagina_1.jpg",
|
| 348 |
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"width": 2480
|
| 349 |
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}
|
requirements.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
gradio
|
| 2 |
pytesseract
|
| 3 |
-
pdf2image
|
|
|
|
| 1 |
gradio
|
| 2 |
pytesseract
|
| 3 |
+
pdf2image
|