deep-text-recognition-bench.../demo.ipynb

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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "deep-text-recognition-benchmark.ipynb",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/tgalkovskyi/deep-text-recognition-benchmark/blob/master/demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dHbHK60Tqn2c",
"colab_type": "text"
},
"source": [
"This can be executed in https://colab.research.google.com \"Python 3 / GPU\" runtime."
]
},
{
"cell_type": "code",
"metadata": {
"id": "Pi-PA14AhdK-",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 153
},
"outputId": "5d620547-6ce9-42b9-8206-20f88f23e567"
},
"source": [
"!git clone https://github.com/clovaai/deep-text-recognition-benchmark\n",
"%cd deep-text-recognition-benchmark"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Cloning into 'deep-text-recognition-benchmark'...\n",
"remote: Enumerating objects: 40, done.\u001b[K\n",
"remote: Counting objects: 100% (40/40), done.\u001b[K\n",
"remote: Compressing objects: 100% (35/35), done.\u001b[K\n",
"remote: Total 376 (delta 20), reused 13 (delta 5), pack-reused 336\u001b[K\n",
"Receiving objects: 100% (376/376), 2.43 MiB | 2.61 MiB/s, done.\n",
"Resolving deltas: 100% (222/222), done.\n",
"/content/deep-text-recognition-benchmark\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "jX-ucvimlaFZ",
"colab_type": "text"
},
"source": [
"Next, download large model files from Google Drive, using hack: https://stackoverflow.com/questions/20665881/direct-download-from-google-drive-using-google-drive-api/32742700#32742700"
]
},
{
"cell_type": "code",
"metadata": {
"id": "9eEhhPBshkjr",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 833
},
"outputId": "205d0bd8-340f-4e9b-ebfd-e9c8f7d327a0"
},
"source": [
"models = {\n",
" 'None-ResNet-None-CTC.pth': 'https://drive.google.com/open?id=1FocnxQzFBIjDT2F9BkNUiLdo1cC3eaO0',\n",
" 'None-VGG-BiLSTM-CTC.pth': 'https://drive.google.com/open?id=1GGC2IRYEMQviZhqQpbtpeTgHO_IXWetG',\n",
" 'None-VGG-None-CTC.pth': 'https://drive.google.com/open?id=1FS3aZevvLiGF1PFBm5SkwvVcgI6hJWL9',\n",
" 'TPS-ResNet-BiLSTM-Attn-case-sensitive.pth': 'https://drive.google.com/open?id=1ajONZOgiG9pEYsQ-eBmgkVbMDuHgPCaY',\n",
" 'TPS-ResNet-BiLSTM-Attn.pth': 'https://drive.google.com/open?id=1b59rXuGGmKne1AuHnkgDzoYgKeETNMv9',\n",
" 'TPS-ResNet-BiLSTM-CTC.pth': 'https://drive.google.com/open?id=1FocnxQzFBIjDT2F9BkNUiLdo1cC3eaO0',\n",
"}\n",
"\n",
"for k, v in models.items():\n",
" doc_id = v[v.find('=')+1:]\n",
" !curl -c /tmp/cookies \"https://drive.google.com/uc?export=download&id=$doc_id\" > /tmp/intermezzo.html\n",
" !curl -L -b /tmp/cookies \"https://drive.google.com$(cat /tmp/intermezzo.html | grep -Po 'uc-download-link\" [^>]* href=\"\\K[^\"]*' | sed 's/\\&amp;/\\&/g')\" > $k\n",
"\n",
"!ls -al *.pth"
],
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"text": [
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 3263 0 3263 0 0 13264 0 --:--:-- --:--:-- --:--:-- 13210\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 1644 0 --:--:-- --:--:-- --:--:-- 1644\n",
"100 186M 0 186M 0 0 79.9M 0 --:--:-- 0:00:02 --:--:-- 104M\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 203 0 --:--:-- 0:00:01 --:--:-- 203\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n",
"100 64576 0 64576 0 0 211k 0 --:--:-- --:--:-- --:--:-- 211k\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 180 0 --:--:-- 0:00:02 --:--:-- 180\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
" 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n",
"100 64696 0 64696 0 0 218k 0 --:--:-- --:--:-- --:--:-- 218k\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 3279 0 3279 0 0 11153 0 --:--:-- --:--:-- --:--:-- 11153\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 1216 0 --:--:-- --:--:-- --:--:-- 1212\n",
"100 189M 0 189M 0 0 84.3M 0 --:--:-- 0:00:02 --:--:-- 111M\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 3255 0 3255 0 0 11302 0 --:--:-- --:--:-- --:--:-- 11302\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 1464 0 --:--:-- --:--:-- --:--:-- 1464\n",
"100 189M 0 189M 0 0 72.5M 0 --:--:-- 0:00:02 --:--:-- 88.8M\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 3263 0 3263 0 0 13052 0 --:--:-- --:--:-- --:--:-- 13052\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 388 0 388 0 0 1644 0 --:--:-- --:--:-- --:--:-- 1644\n",
"100 186M 0 186M 0 0 124M 0 --:--:-- 0:00:01 --:--:-- 176M\n",
"-rw-r--r-- 1 root root 195888589 Oct 27 14:16 None-ResNet-None-CTC.pth\n",
"-rw-r--r-- 1 root root 64576 Oct 27 14:17 None-VGG-BiLSTM-CTC.pth\n",
"-rw-r--r-- 1 root root 64696 Oct 27 14:17 None-VGG-None-CTC.pth\n",
"-rw-r--r-- 1 root root 198975977 Oct 27 14:17 TPS-ResNet-BiLSTM-Attn-case-sensitive.pth\n",
"-rw-r--r-- 1 root root 198678680 Oct 27 14:17 TPS-ResNet-BiLSTM-Attn.pth\n",
"-rw-r--r-- 1 root root 195888589 Oct 27 14:17 TPS-ResNet-BiLSTM-CTC.pth\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "s-E716WnhfrI",
"colab_type": "code",
"colab": {}
},
"source": [
"output = !CUDA_VISIBLE_DEVICES=0 python3 demo.py \\\n",
"--Transformation TPS --FeatureExtraction ResNet --SequenceModeling BiLSTM --Prediction Attn \\\n",
"--image_folder demo_image/ \\\n",
"--saved_model TPS-ResNet-BiLSTM-Attn.pth"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "bJRPln2QlxlJ",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "a81e0b6b-8171-49a6-c59f-15649d7c6bb8"
},
"source": [
"from IPython.core.display import display, HTML\n",
"from PIL import Image\n",
"import base64\n",
"import io\n",
"import pandas as pd\n",
"\n",
"data = pd.DataFrame()\n",
"for ind, row in enumerate(output[output.index('image_path \\tpredicted_labels \\tconfidence score')+2:]):\n",
" row = row.split('\\t')\n",
" filename = row[0].strip()\n",
" label = row[1].strip()\n",
" conf = row[2].strip()\n",
" img = Image.open(filename)\n",
" img_buffer = io.BytesIO()\n",
" img.save(img_buffer, format=\"PNG\")\n",
" imgStr = base64.b64encode(img_buffer.getvalue()).decode(\"utf-8\") \n",
"\n",
" data.loc[ind, 'img'] = '<img src=\"data:image/png;base64,{0:s}\">'.format(imgStr)\n",
" data.loc[ind, 'id'] = filename\n",
" data.loc[ind, 'label'] = label\n",
" data.loc[ind, 'conf'] = conf\n",
"\n",
"html_all = data.to_html(escape=False)\n",
"display(HTML(html_all))"
],
"execution_count": 54,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>img</th>\n",
" <th>id</th>\n",
" <th>label</th>\n",
" <th>conf</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_1.png</td>\n",
" <td>available</td>\n",
" <td>0.9999</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_2.jpg</td>\n",
" <td>shakeshack</td>\n",
" <td>0.9263</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_3.png</td>\n",
" <td>london</td>\n",
" <td>0.9878</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_4.png</td>\n",
" <td>greenstead</td>\n",
" <td>0.9984</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_5.png</td>\n",
" <td>toast</td>\n",
" <td>0.9963</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_6.png</td>\n",
" <td>merry</td>\n",
" <td>0.9977</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_7.png</td>\n",
" <td>underground</td>\n",
" <td>1.0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_8.jpg</td>\n",
" <td>ronaldo</td>\n",
" <td>0.8412</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td><img src=\"data:image/png;base64,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
" <td>demo_image/demo_9.jpg</td>\n",
" <td>bally</td>\n",
" <td>0.7814</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAO0AAACdCAIAAADXDWgZAAAKMWlDQ1BJQ0MgUHJvZmlsZQAAeJydlndUU9kWh8+9N71QkhCKlNBraFICSA29SJEuKjEJEErAkAAiNkRUcERRkaYIMijggKNDkbEiioUBUbHrBBlE1HFwFBuWSWStGd+8ee/Nm98f935rn73P3Wfvfda6AJD8gwXCTFgJgAyhWBTh58WIjYtnYAcBDPAAA2wA4HCzs0IW+EYCmQJ82IxsmRP4F726DiD5+yrTP4zBAP+flLlZIjEAUJiM5/L42VwZF8k4PVecJbdPyZi2NE3OMErOIlmCMlaTc/IsW3z2mWUPOfMyhDwZy3PO4mXw5Nwn4405Er6MkWAZF+cI+LkyviZjg3RJhkDGb+SxGXxONgAoktwu5nNTZGwtY5IoMoIt43kA4EjJX/DSL1jMzxPLD8XOzFouEiSniBkmXFOGjZMTi+HPz03ni8XMMA43jSPiMdiZGVkc4XIAZs/8WRR5bRmyIjvYODk4MG0tbb4o1H9d/JuS93aWXoR/7hlEH/jD9ld+mQ0AsKZltdn6h21pFQBd6wFQu/2HzWAvAIqyvnUOfXEeunxeUsTiLGcrq9zcXEsBn2spL+jv+p8Of0NffM9Svt3v5WF485M4knQxQ143bmZ6pkTEyM7icPkM5p+H+B8H/nUeFhH8JL6IL5RFRMumTCBMlrVbyBOIBZlChkD4n5r4D8P+pNm5lona+BHQllgCpSEaQH4eACgqESAJe2Qr0O99C8ZHA/nNi9GZmJ37z4L+fVe4TP7IFiR/jmNHRDK4ElHO7Jr8WgI0IABFQAPqQBvoAxPABLbAEbgAD+ADAkEoiARxYDHgghSQAUQgFxSAtaAYlIKtYCeoBnWgETSDNnAYdIFj4DQ4By6By2AE3AFSMA6egCnwCsxAEISFyBAVUod0IEPIHLKFWJAb5AMFQxFQHJQIJUNCSAIVQOugUqgcqobqoWboW+godBq6AA1Dt6BRaBL6FXoHIzAJpsFasBFsBbNgTzgIjoQXwcnwMjgfLoK3wJVwA3wQ7oRPw5fgEVgKP4GnEYAQETqiizARFsJGQpF4JAkRIauQEqQCaUDakB6kH7mKSJGnyFsUBkVFMVBMlAvKHxWF4qKWoVahNqOqUQdQnag+1FXUKGoK9RFNRmuizdHO6AB0LDoZnYsuRlegm9Ad6LPoEfQ4+hUGg6FjjDGOGH9MHCYVswKzGbMb0445hRnGjGGmsVisOtYc64oNxXKwYmwxtgp7EHsSewU7jn2DI+J0cLY4X1w8TogrxFXgWnAncFdwE7gZvBLeEO+MD8Xz8MvxZfhGfA9+CD+OnyEoE4wJroRIQiphLaGS0EY4S7hLeEEkEvWITsRwooC4hlhJPEQ8TxwlviVRSGYkNimBJCFtIe0nnSLdIr0gk8lGZA9yPFlM3kJuJp8h3ye/UaAqWCoEKPAUVivUKHQqXFF4pohXNFT0VFysmK9YoXhEcUjxqRJeyUiJrcRRWqVUo3RU6YbStDJV2UY5VDlDebNyi/IF5UcULMWI4kPhUYoo+yhnKGNUhKpPZVO51HXURupZ6jgNQzOmBdBSaaW0b2iDtCkVioqdSrRKnkqNynEVKR2hG9ED6On0Mvph+nX6O1UtVU9Vvuom1TbVK6qv1eaoeajx1UrU2tVG1N6pM9R91NPUt6l3qd/TQGmYaYRr5Grs0Tir8XQObY7LHO6ckjmH59zWhDXNNCM0V2ju0xzQnNbS1vLTytKq0jqj9VSbru2hnaq9Q/uE9qQOVcdNR6CzQ+ekzmOGCsOTkc6oZPQxpnQ1df11Jbr1uoO6M3rGelF6hXrtevf0Cfos/ST9Hfq9+lMGOgYhBgUGrQa3DfGGLMMUw12G/YavjYyNYow2GHUZPTJWMw4wzjduNb5rQjZxN1lm0mByzRRjyjJNM91tetkMNrM3SzGrMRsyh80dzAXmu82HLdAWThZCiwaLG0wS05OZw2xljlrSLYMtCy27LJ9ZGVjFW22z6rf6aG1vnW7daH3HhmITaFNo02Pzq62ZLde2xvbaXPJc37mr53bPfW5nbse322N3055qH2K/wb7X/oODo4PIoc1h0tHAMdGx1vEGi8YKY21mnXdCO3k5rXY65vTW2cFZ7HzY+RcXpkuaS4vLo3nG8/jzGueNueq5clzrXaVuDLdEt71uUnddd457g/sDD30PnkeTx4SnqWeq50HPZ17WXiKvDq/XbGf2SvYpb8Tbz7vEe9CH4hPlU+1z31fPN9m31XfKz95vhd8pf7R/kP82/xsBWgHcgOaAqUDHwJWBfUGkoAVB1UEPgs2CRcE9IXBIYMj2kLvzDecL53eFgtCA0O2h98KMw5aFfR+OCQ8Lrwl/GGETURDRv4C6YMmClgWvIr0iyyLvRJlESaJ6oxWjE6Kbo1/HeMeUx0hjrWJXxl6K04gTxHXHY+Oj45vipxf6LNy5cDzBPqE44foi40V5iy4s1licvvj4EsUlnCVHEtGJMYktie85oZwGzvTSgKW1S6e4bO4u7hOeB28Hb5Lvyi/nTyS5JpUnPUp2Td6ePJninlKR8lTAFlQLnqf6p9alvk4LTduf9ik9Jr09A5eRmHFUSBGmCfsytTPzMoezzLOKs6TLnJftXDYlChI1ZUPZi7K7xTTZz9SAxESyXjKa45ZTk/MmNzr3SJ5ynjBvYLnZ8k3LJ/J9879egVrBXdFboFuwtmB0pefK+lXQqqWrelfrry5aPb7Gb82BtYS1aWt/KLQuLC98uS5mXU+RVtGaorH1futbixWKRcU3NrhsqNuI2ijYOLhp7qaqTR9LeCUXS61LK0rfb+ZuvviVzVeVX33akrRlsMyhbM9WzFbh1uvb3LcdKFcuzy8f2x6yvXMHY0fJjpc7l+y8UGFXUbeLsEuyS1oZXNldZVC1tep9dUr1SI1XTXutZu2m2te7ebuv7PHY01anVVda926vYO/Ner/6zgajhop9mH05+x42Rjf2f836urlJo6m06cN+4X7pgYgDfc2Ozc0tmi1lrXCrpHXyYMLBy994f9Pdxmyrb6e3lx4ChySHHn+b+O31w0GHe4+wjrR9Z/hdbQe1o6QT6lzeOdWV0iXtjusePhp4tLfHpafje8vv9x/TPVZzXOV42QnCiaITn07mn5w+lXXq6enk02O9S3rvnIk9c60vvG/wbNDZ8+d8z53p9+w/ed71/LELzheOXmRd7LrkcKlzwH6g4wf7HzoGHQY7hxyHui87Xe4Znjd84or7ldNXva+euxZw7dLI/JHh61HXb95IuCG9ybv56Fb6ree3c27P3FlzF3235J7SvYr7mvcbfjT9sV3qID0+6j068GDBgztj3LEnP2X/9H686CH5YcWEzkTzI9tHxyZ9Jy8/Xvh4/EnWk5mnxT8r/1z7zOTZd794/DIwFTs1/lz0/NOvm1+ov9j/0u5l73TY9P1XGa9mXpe8UX9z4C3rbf+7mHcTM7nvse8rP5h+6PkY9PHup4xPn34D94Tz+6TMXDkAAPruSURBVHicvP1prHXpdR6IPWt4373POffe735DjayBVRyLoyiKpESJFKnBGmxJdtvujt1Ad2ykG90JAiQI0kASIAiSRoAgbaDTCeCO24jd6XiWPLUj27IsiZKsgZNYJItkFVlkzcNX33SHc87e77uG/Nj3K8nqRuxuW71/fPhqOOfce/ba613rWc/zLNo+/bmMYGaWwipBcAIQlIkgAQHI9N5nZgVgaVIqIt17WAsH6RCe42rI9OjNLIZhAEBEAAgRYQxJSxFJzuTOmhAmEiQDlElUKkigpXMnCwIyE4Bk5DzN21MpGixaNyLCSiTZewdYhBBEngAcQSo9vNS7PwAlJXrvnFBVMyulhIV3IyLvXVkiwCIoQlzbbFqYOdz3CGKH9yk62pRDXWVmpHGGilh0i0gCM5dBSZmIiSQFoBSQuzPIM6Cy/Cwlly/DIwFwmAuxbffubhkkqKuRmSOCmUFEDGa27hEgFBJWVaumXMzC3QuXC
" <td>demo_image/demo_10.jpg</td>\n",
" <td>university</td>\n",
" <td>0.9998</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}