{
"cells": [
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The autoreload extension is already loaded. To reload it, use:\n",
" %reload_ext autoreload\n"
]
}
],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from PIL import Image\n",
"import torch\n",
"from importlib.util import find_spec\n",
"if find_spec(\"text_recognizer\") is None:\n",
" import sys\n",
" sys.path.append('..')\n",
"from text_recognizer.data.emnist_lines import EMNISTLines"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2021-03-24 21:19:07.415 | INFO | text_recognizer.data.emnist_lines:setup:106 - EMNISTLinesDataset loading data from HDF5...\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/aktersnurra/projects/text-recognizer/data/processed/emnist_lines/ml_32_o0.000000_0.330000_ntr10000_ntv2000_nte2000.h5\n",
"EMNISTLines2 Dataset\n",
"Min overlap: 0.0\n",
"Max overlap: 0.33\n",
"Num classes: 83\n",
"Dims: (1, 56, 1024)\n",
"Output dims: (89, 1)\n",
"Train/val/test sizes: 10000, 2000, 2000\n",
"Batch x stats: (torch.Size([128, 1, 56, 1024]), torch.float32, tensor(0.), tensor(0.0136), tensor(0.0883), tensor(0.9984))\n",
"Batch y stats: (torch.Size([128, 89]), torch.int64, tensor(1), tensor(66))\n",
"\n",
"Mapping: ['', '', '', '
', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', ' ', '!', '\"', '#', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', ':', ';', '?']\n"
]
}
],
"source": [
"dataset = EMNISTLines()\n",
"dataset.prepare_data()\n",
"dataset.setup()\n",
"print(dataset)\n",
"print('Mapping:', dataset.mapping)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"def convert_y_label_to_string(y, dataset=dataset):\n",
" return ''.join([dataset.mapping[i] for i in y])"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tensor([ 1, 45, 60, 53, 43, 58, 66, 42, 54, 52, 55, 51, 40, 48, 53, 48, 53, 46,\n",
" 66, 40, 41, 54, 60, 59, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
" 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) torch.Size([89])\n"
]
},
{
"data": {
"text/plain": [
"'funds complaining about
'"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y_example = dataset.data_train[0][1]\n",
"print(y_example, y_example.shape)\n",
"convert_y_label_to_string(y_example)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"funds complaining about
\n",
"time locating a copy
\n",
"his prime source
\n",
"to
\n",
"to with
\n",
"out but certain of
\n",
"murky dark He came to the
\n",
"in Honolulu The
\n",
"in the city of Philadelphia I
\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "