File size: 10,184 Bytes
1125d95 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "20356e27-98f6-4a19-b0ec-d1d2e92029f1",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\ArturSzczotarski\\LLM env\\du_env\\Lib\\site-packages\\huggingface_hub\\file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
" warnings.warn(\n",
"C:\\Users\\ArturSzczotarski\\LLM env\\du_env\\Lib\\site-packages\\huggingface_hub\\file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
" warnings.warn(\n"
]
}
],
"source": [
"from handler import EndpointHandler\n",
" \n",
"# init handler\n",
"my_handler = EndpointHandler(path=\"Szczotar93/Layoutlm_Inkaso_2\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "63a53fa9-c2ae-425c-9a8a-ec2415753630",
"metadata": {},
"outputs": [],
"source": [
"from transformers import LayoutLMForTokenClassification, LayoutLMv2Processor, LayoutLMTokenizer, AutoModelForTokenClassification, AutoProcessor\n",
"\n",
"from PIL import Image, ImageDraw, ImageFont\n",
"import torch\n",
"import pandas as pd\n",
"import pytesseract\n",
"\n",
"pytesseract.pytesseract.tesseract_cmd = r'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "684076e3-9ec2-4c99-af1e-6860a3e355e9",
"metadata": {},
"outputs": [],
"source": [
"from PIL import Image\n",
"filename = r\"C:\\Users\\ArturSzczotarski\\LLM env\\du_env\\documentsImages\\test\\2.png\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "660f4096-9122-41fc-b38a-fd5299a16df5",
"metadata": {},
"outputs": [],
"source": [
"img = Image.open(filename)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "04ee0572-093c-4e30-872c-24216c807e4c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'C:\\\\Users\\\\ArturSzczotarski\\\\LLM env\\\\du_env\\\\documentsImages\\\\test\\\\2.png'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"img.filename"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "096b6ffb-767e-45a2-bf4b-1f6d3f67f3a4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'predictions': [[{'word': 'km 1792 /', 'label': 'doc id', 'score': '0.94'},\n",
" {'word': 'wezwanie do dokonywania potraceh ztur',\n",
" 'label': 'title',\n",
" 'score': '0.98'},\n",
" {'word': 'kredyt inkaso s. a', 'label': 'creditor name', 'score': '0.95'},\n",
" {'word': '02 - 672 warszawa domaniewska 39',\n",
" 'label': 'creditor address',\n",
" 'score': '0.97'},\n",
" {'word': '##ter mateusz garbula kanaria. -',\n",
" 'label': 'creditor proxy',\n",
" 'score': '0.92'}]]}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_handler({\"inputs\": img})"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "52580570-51a6-4d73-aab0-ba3bf2af41f2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'C:\\\\Users\\\\ArturSzczotarski\\\\LLM env\\\\du_env\\\\documentsImages\\\\test\\\\2.png'"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"img.filename"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "04c995ad-634b-4057-92ad-25d329371911",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "object of type 'PngImageFile' has no len()",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[8], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdata\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DataLoader\n\u001b[1;32m----> 3\u001b[0m dataloader \u001b[38;5;241m=\u001b[39m \u001b[43mDataLoader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbatch_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshuffle\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
"File \u001b[1;32m~\\LLM env\\du_env\\Lib\\site-packages\\torch\\utils\\data\\dataloader.py:350\u001b[0m, in \u001b[0;36mDataLoader.__init__\u001b[1;34m(self, dataset, batch_size, shuffle, sampler, batch_sampler, num_workers, collate_fn, pin_memory, drop_last, timeout, worker_init_fn, multiprocessing_context, generator, prefetch_factor, persistent_workers, pin_memory_device)\u001b[0m\n\u001b[0;32m 348\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# map-style\u001b[39;00m\n\u001b[0;32m 349\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m shuffle:\n\u001b[1;32m--> 350\u001b[0m sampler \u001b[38;5;241m=\u001b[39m \u001b[43mRandomSampler\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgenerator\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgenerator\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[0;32m 351\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 352\u001b[0m sampler \u001b[38;5;241m=\u001b[39m SequentialSampler(dataset) \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n",
"File \u001b[1;32m~\\LLM env\\du_env\\Lib\\site-packages\\torch\\utils\\data\\sampler.py:142\u001b[0m, in \u001b[0;36mRandomSampler.__init__\u001b[1;34m(self, data_source, replacement, num_samples, generator)\u001b[0m\n\u001b[0;32m 139\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreplacement, \u001b[38;5;28mbool\u001b[39m):\n\u001b[0;32m 140\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreplacement should be a boolean value, but got replacement=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreplacement\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 142\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnum_samples\u001b[49m, \u001b[38;5;28mint\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_samples \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m 143\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnum_samples should be a positive integer value, but got num_samples=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_samples\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
"File \u001b[1;32m~\\LLM env\\du_env\\Lib\\site-packages\\torch\\utils\\data\\sampler.py:149\u001b[0m, in \u001b[0;36mRandomSampler.num_samples\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 145\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[0;32m 146\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mnum_samples\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mint\u001b[39m:\n\u001b[0;32m 147\u001b[0m \u001b[38;5;66;03m# dataset size might change at runtime\u001b[39;00m\n\u001b[0;32m 148\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_samples \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 149\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata_source\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 150\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_samples\n",
"\u001b[1;31mTypeError\u001b[0m: object of type 'PngImageFile' has no len()"
]
}
],
"source": [
"from torch.utils.data import DataLoader\n",
"\n",
"dataloader = DataLoader(img, batch_size=1, shuffle=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e604a2bd-a068-46bb-82d8-4fba7fc6212b",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "du_env",
"language": "python",
"name": "du_env"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|