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Code Contribution - EDA of Car Damage Data - Rishabh Added #18

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Code Contribution - EDA of Car Damage Data - Rishabh Added #18

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3,553 changes: 3,553 additions & 0 deletions 00 - EDA of the Car Damage Data.ipynb
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95 changes: 29 additions & 66 deletions 01-first_gate-car_or_not.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Pipe1 :\n",
"### To check if user input image is a car or not. Tested against multiple cnn frameworks to find one with maximum accuracy.\n",
"\n",
"### data0 - all car images, including whole and damaged"
]
},
Expand Down Expand Up @@ -31,9 +34,7 @@
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stderr",
Expand All @@ -51,7 +52,7 @@
"import pandas as pd\n",
"\n",
"from keras.utils.data_utils import get_file\n",
"from keras.applications.resnet50 import ResNet50\n",
"from tensorflow.keras.applications.resnet50 import ResNet50\n",
"from keras.applications.vgg16 import VGG16\n",
"from keras.applications.vgg19 import VGG19\n",
"from keras.applications.inception_v3 import InceptionV3\n",
Expand All @@ -68,9 +69,7 @@
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"CLASS_INDEX = None\n",
Expand All @@ -80,9 +79,7 @@
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"# from Keras GitHub \n",
Expand Down Expand Up @@ -110,9 +107,7 @@
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"vgg16 = VGG16(weights='imagenet')"
Expand All @@ -132,9 +127,7 @@
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -156,9 +149,7 @@
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand All @@ -183,9 +174,7 @@
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"def prepare_image(img_path):\n",
Expand All @@ -206,9 +195,7 @@
{
"cell_type": "code",
"execution_count": 230,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -227,9 +214,7 @@
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand All @@ -248,9 +233,7 @@
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -299,7 +282,6 @@
"cell_type": "code",
"execution_count": 148,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
Expand Down Expand Up @@ -1626,9 +1608,7 @@
{
"cell_type": "code",
"execution_count": 158,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"with open('cat_counter.pk', 'wb') as f:\n",
Expand All @@ -1645,9 +1625,7 @@
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"with open('cat_counter.pk', 'rb') as f:\n",
Expand All @@ -1657,9 +1635,7 @@
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [],
"source": [
"cat_list = [k for k, v in cat_counter.most_common()[:50]]"
Expand Down Expand Up @@ -1705,7 +1681,6 @@
"cell_type": "code",
"execution_count": 179,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
Expand Down Expand Up @@ -1750,9 +1725,7 @@
{
"cell_type": "code",
"execution_count": 210,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -1782,9 +1755,7 @@
{
"cell_type": "code",
"execution_count": 212,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1830,9 +1801,7 @@
{
"cell_type": "code",
"execution_count": 222,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1869,9 +1838,7 @@
{
"cell_type": "code",
"execution_count": 213,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"data": {
Expand Down Expand Up @@ -1926,9 +1893,7 @@
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -1956,9 +1921,7 @@
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"metadata": {},
"outputs": [
{
"name": "stdout",
Expand Down Expand Up @@ -1987,23 +1950,23 @@
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"display_name": "Python 3",
"language": "python",
"name": "python2"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
"pygments_lexer": "ipython3",
"version": "3.8.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
"nbformat_minor": 1
}
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