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@ypwhs
Created February 2, 2017 16:22
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convert svhn digitStruct.mat to csv
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import os\n",
"import pickle\n",
"import random\n",
"\n",
"import h5py\n",
"import numpy as np\n",
"import cv2\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from tqdm import tqdm\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def showimg(index):\n",
" img = cv2.imread('train/%d.png'%(index+1))\n",
" plt.imshow(img[:,:,::-1])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def get_box_data(data, index):\n",
" meta_data = dict()\n",
" meta_data['height'] = []\n",
" meta_data['label'] = []\n",
" meta_data['left'] = []\n",
" meta_data['top'] = []\n",
" meta_data['width'] = []\n",
"\n",
" def print_attrs(name, obj):\n",
" vals = []\n",
" if obj.shape[0] == 1:\n",
" vals.append(obj[0][0])\n",
" else:\n",
" for k in range(obj.shape[0]):\n",
" vals.append(int(data[obj[k][0]][0][0]))\n",
" meta_data[name] = vals\n",
"\n",
" box = data['/digitStruct/bbox'][index]\n",
" data[box[0]].visititems(print_attrs)\n",
" return meta_data"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'width': [8, 8, 8, 8], 'top': [12, 12, 11, 11], 'label': [1, 6, 4, 8], 'left': [38, 44, 52, 59], 'height': [19, 19, 19, 19]}\n"
]
},
{
"data": {
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7m5bfNXbsVlqg+5fUg73WbIdiIsxEwcvenP3BLDJRlGdVFGlWTxtCosU7TJL3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\n3FtUMwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x13a111250>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"d = h5py.File('train/digitStruct.mat', 'r')\n",
"a = 333\n",
"showimg(a)\n",
"print get_box_data(d, a)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def create_dateset(dataset):\n",
" data = h5py.File('%s/digitStruct.mat'%dataset, 'r')\n",
" df = []\n",
" for i in tqdm(range(len(data['/digitStruct/name']))):\n",
" meta_data = get_box_data(data, i)\n",
" num_length = len(meta_data['label'])\n",
" if num_length < 6:\n",
" dd = {'filename': '%s/%d.png'%(dataset, i+1), 'len': num_length}\n",
" for i in range(5):\n",
" dd['num%d'%(i+1)] = -1\n",
" dd['bbox%d'%(i+1)] = (0, 0, 0, 0)\n",
" for i in xrange(num_length):\n",
" dd['num%d'%(i+1)] = int(meta_data['label'][i])\n",
" dd['bbox%d'%(i+1)] = (meta_data['left'][i], meta_data['top'][i], meta_data['width'][i], meta_data['height'][i])\n",
" df.append(dd)\n",
" df = pd.DataFrame(df)\n",
" for i in range(1, 6):\n",
" df.set_value(df[df['num%d'%i] == 10].index, 'num%d'%i, 0)\n",
" for i in range(1, 6):\n",
" df.set_value(df['num%d'%i].isnull(), 'num%d'%i, 10)\n",
" for i in range(1, 6):\n",
" for j in df['bbox%d'%i][df['bbox%d'%i].isnull()].index:\n",
" df.set_value(j, 'bbox%d'%(i+1), (0,0,0,0))\n",
" \n",
" df = df.dropna()\n",
" df = df.reset_index(drop=True)\n",
" \n",
" df.to_csv('%s.csv'%dataset)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 33402/33402 [01:54<00:00, 291.97it/s]\n"
]
}
],
"source": [
"create_dateset('train')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 13068/13068 [00:41<00:00, 317.18it/s]\n"
]
}
],
"source": [
"create_dateset('test')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 202353/202353 [13:02<00:00, 258.62it/s]\n"
]
}
],
"source": [
"create_dateset('extra')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@arvindjharwall
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