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hariangr/gabor-cnn-resnet18.ipynb

Created March 23, 2023 01:04
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Gabor CNN Resnet18.ipynb
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gabor-cnn-resnet18.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/hariangr/73ed1fc574a48674f6d6de9d0f5cd6e3/gabor-cnn-resnet18.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "c136cqcF1c_s",
"outputId": "a1b5d34b-1dee-4968-acf4-f136498c60bb"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
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"Installing collected packages: multidict, lightning-utilities, frozenlist, async-timeout, yarl, torchmetrics, aiosignal, aiohttp, pytorch-lightning\n",
"Successfully installed aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 frozenlist-1.3.3 lightning-utilities-0.8.0 multidict-6.0.4 pytorch-lightning-2.0.0 torchmetrics-0.11.4 yarl-1.8.2\n",
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]
}
],
"source": [
"!pip install pandas\n",
"!pip install opencv-python\n",
"!pip install pytorch-lightning\n",
"!pip install seaborn"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "T9CSjKVDWtD3",
"outputId": "f138e0fa-9d27-4ca5-e632-ac55dae55509"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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" inflating: samples_gabor/040/16/gabor3.bmp \n",
" inflating: samples_gabor/040/17/gabor0.bmp \n",
" inflating: samples_gabor/040/17/gabor1.bmp \n",
" inflating: samples_gabor/040/17/gabor2.bmp \n",
" inflating: samples_gabor/040/17/gabor3.bmp \n",
" inflating: samples_gabor/040/18/gabor0.bmp \n",
" inflating: samples_gabor/040/18/gabor1.bmp \n",
" inflating: samples_gabor/040/18/gabor2.bmp \n",
" inflating: samples_gabor/040/18/gabor3.bmp \n",
" inflating: samples_gabor/040/19/gabor0.bmp \n",
" inflating: samples_gabor/040/19/gabor1.bmp \n",
" inflating: samples_gabor/040/19/gabor2.bmp \n",
" inflating: samples_gabor/040/19/gabor3.bmp \n",
" inflating: samples_gabor/040/20/gabor0.bmp \n",
" inflating: samples_gabor/040/20/gabor1.bmp \n",
" inflating: samples_gabor/040/20/gabor2.bmp \n",
" inflating: samples_gabor/040/20/gabor3.bmp \n",
" inflating: samples_gabor/040/21/gabor0.bmp \n",
" inflating: samples_gabor/040/21/gabor1.bmp \n",
" inflating: samples_gabor/040/21/gabor2.bmp \n",
" inflating: samples_gabor/040/21/gabor3.bmp \n",
" inflating: samples_gabor/041/0/gabor0.bmp \n",
" inflating: samples_gabor/041/0/gabor1.bmp \n",
" inflating: samples_gabor/041/0/gabor2.bmp \n",
" inflating: samples_gabor/041/0/gabor3.bmp \n",
" inflating: samples_gabor/041/1/gabor0.bmp \n",
" inflating: samples_gabor/041/1/gabor1.bmp \n",
" inflating: samples_gabor/041/1/gabor2.bmp \n",
" inflating: samples_gabor/041/1/gabor3.bmp \n",
" inflating: samples_gabor/041/2/gabor0.bmp \n",
" inflating: samples_gabor/041/2/gabor1.bmp \n",
" inflating: samples_gabor/041/2/gabor2.bmp \n",
" inflating: samples_gabor/041/2/gabor3.bmp \n",
" inflating: samples_gabor/041/3/gabor0.bmp \n",
" inflating: samples_gabor/041/3/gabor1.bmp \n",
" inflating: samples_gabor/041/3/gabor2.bmp \n",
" inflating: samples_gabor/041/3/gabor3.bmp \n",
" inflating: samples_gabor/041/4/gabor0.bmp \n",
" inflating: samples_gabor/041/4/gabor1.bmp \n",
" inflating: samples_gabor/041/4/gabor2.bmp \n",
" inflating: samples_gabor/041/4/gabor3.bmp \n",
" inflating: samples_gabor/041/5/gabor0.bmp \n",
" inflating: samples_gabor/041/5/gabor1.bmp \n",
" inflating: samples_gabor/041/5/gabor2.bmp \n",
" inflating: samples_gabor/041/5/gabor3.bmp \n",
" inflating: samples_gabor/041/6/gabor0.bmp \n",
" inflating: samples_gabor/041/6/gabor1.bmp \n",
" inflating: samples_gabor/041/6/gabor2.bmp \n",
" inflating: samples_gabor/041/6/gabor3.bmp \n",
" inflating: samples_gabor/041/7/gabor0.bmp \n",
" inflating: samples_gabor/041/7/gabor1.bmp \n",
" inflating: samples_gabor/041/7/gabor2.bmp \n",
" inflating: samples_gabor/041/7/gabor3.bmp \n",
" inflating: samples_gabor/041/8/gabor0.bmp \n",
" inflating: samples_gabor/041/8/gabor1.bmp \n",
" inflating: samples_gabor/041/8/gabor2.bmp \n",
" inflating: samples_gabor/041/8/gabor3.bmp \n",
" inflating: samples_gabor/041/9/gabor0.bmp \n",
" inflating: samples_gabor/041/9/gabor1.bmp \n",
" inflating: samples_gabor/041/9/gabor2.bmp \n",
" inflating: samples_gabor/041/9/gabor3.bmp \n",
" inflating: samples_gabor/041/10/gabor0.bmp \n",
" inflating: samples_gabor/041/10/gabor1.bmp \n",
" inflating: samples_gabor/041/10/gabor2.bmp \n",
" inflating: samples_gabor/041/10/gabor3.bmp \n",
" inflating: samples_gabor/041/11/gabor0.bmp \n",
" inflating: samples_gabor/041/11/gabor1.bmp \n",
" inflating: samples_gabor/041/11/gabor2.bmp \n",
" inflating: samples_gabor/041/11/gabor3.bmp \n",
" inflating: samples_gabor/041/12/gabor0.bmp \n",
" inflating: samples_gabor/041/12/gabor1.bmp \n",
" inflating: samples_gabor/041/12/gabor2.bmp \n",
" inflating: samples_gabor/041/12/gabor3.bmp \n",
" inflating: samples_gabor/041/13/gabor0.bmp \n",
" inflating: samples_gabor/041/13/gabor1.bmp \n",
" inflating: samples_gabor/041/13/gabor2.bmp \n",
" inflating: samples_gabor/041/13/gabor3.bmp \n",
" inflating: samples_gabor/041/14/gabor0.bmp \n",
" inflating: samples_gabor/041/14/gabor1.bmp \n",
" inflating: samples_gabor/041/14/gabor2.bmp \n",
" inflating: samples_gabor/041/14/gabor3.bmp \n",
" inflating: samples_gabor/041/15/gabor0.bmp \n",
" inflating: samples_gabor/041/15/gabor1.bmp \n",
" inflating: samples_gabor/041/15/gabor2.bmp \n",
" inflating: samples_gabor/041/15/gabor3.bmp \n",
" inflating: samples_gabor/041/16/gabor0.bmp \n",
" inflating: samples_gabor/041/16/gabor1.bmp \n",
" inflating: samples_gabor/041/16/gabor2.bmp \n",
" inflating: samples_gabor/041/16/gabor3.bmp \n",
" inflating: samples_gabor/041/17/gabor0.bmp \n",
" inflating: samples_gabor/041/17/gabor1.bmp \n",
" inflating: samples_gabor/041/17/gabor2.bmp \n",
" inflating: samples_gabor/041/17/gabor3.bmp \n",
" inflating: samples_gabor/041/18/gabor0.bmp \n",
" inflating: samples_gabor/041/18/gabor1.bmp \n",
" inflating: samples_gabor/041/18/gabor2.bmp \n",
" inflating: samples_gabor/041/18/gabor3.bmp \n",
" inflating: samples_gabor/041/19/gabor0.bmp \n",
" inflating: samples_gabor/041/19/gabor1.bmp \n",
" inflating: samples_gabor/041/19/gabor2.bmp \n",
" inflating: samples_gabor/041/19/gabor3.bmp \n",
" inflating: samples_gabor/041/20/gabor0.bmp \n",
" inflating: samples_gabor/041/20/gabor1.bmp \n",
" inflating: samples_gabor/041/20/gabor2.bmp \n",
" inflating: samples_gabor/041/20/gabor3.bmp \n",
" inflating: samples_gabor/041/21/gabor0.bmp \n",
" inflating: samples_gabor/041/21/gabor1.bmp \n",
" inflating: samples_gabor/041/21/gabor2.bmp \n",
" inflating: samples_gabor/041/21/gabor3.bmp \n"
]
}
],
"source": [
"!unzip \"/content/drive/MyDrive/Colab Notebooks/BuWirdi/ROI_Hand_Restnet18/samples_gabor 2.zip\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "5RqRzi1MXPpD",
"outputId": "6ea9a705-9883-420b-f4e6-13247d3034c5"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['./samples_gabor/022/39/gabor0.bmp',\n",
" './samples_gabor/022/39/gabor3.bmp',\n",
" './samples_gabor/022/39/gabor2.bmp',\n",
" './samples_gabor/022/39/gabor1.bmp',\n",
" './samples_gabor/022/23/gabor0.bmp',\n",
" './samples_gabor/022/23/gabor3.bmp',\n",
" './samples_gabor/022/23/gabor2.bmp',\n",
" './samples_gabor/022/23/gabor1.bmp',\n",
" './samples_gabor/022/4/gabor0.bmp',\n",
" './samples_gabor/022/4/gabor3.bmp',\n",
" './samples_gabor/022/4/gabor2.bmp',\n",
" './samples_gabor/022/4/gabor1.bmp',\n",
" './samples_gabor/022/36/gabor0.bmp',\n",
" './samples_gabor/022/36/gabor3.bmp',\n",
" './samples_gabor/022/36/gabor2.bmp',\n",
" './samples_gabor/022/36/gabor1.bmp',\n",
" './samples_gabor/022/27/gabor0.bmp',\n",
" './samples_gabor/022/27/gabor3.bmp',\n",
" './samples_gabor/022/27/gabor2.bmp',\n",
" './samples_gabor/022/27/gabor1.bmp',\n",
" './samples_gabor/022/20/gabor0.bmp',\n",
" './samples_gabor/022/20/gabor3.bmp',\n",
" './samples_gabor/022/20/gabor2.bmp',\n",
" './samples_gabor/022/20/gabor1.bmp',\n",
" './samples_gabor/022/33/gabor0.bmp',\n",
" './samples_gabor/022/33/gabor3.bmp',\n",
" './samples_gabor/022/33/gabor2.bmp',\n",
" './samples_gabor/022/33/gabor1.bmp',\n",
" './samples_gabor/022/17/gabor0.bmp',\n",
" './samples_gabor/022/17/gabor3.bmp',\n",
" './samples_gabor/022/17/gabor2.bmp',\n",
" './samples_gabor/022/17/gabor1.bmp',\n",
" './samples_gabor/022/12/gabor0.bmp',\n",
" './samples_gabor/022/12/gabor3.bmp',\n",
" './samples_gabor/022/12/gabor2.bmp',\n",
" './samples_gabor/022/12/gabor1.bmp',\n",
" './samples_gabor/022/21/gabor0.bmp',\n",
" './samples_gabor/022/21/gabor3.bmp',\n",
" './samples_gabor/022/21/gabor2.bmp',\n",
" './samples_gabor/022/21/gabor1.bmp',\n",
" './samples_gabor/022/38/gabor0.bmp',\n",
" './samples_gabor/022/38/gabor3.bmp',\n",
" './samples_gabor/022/38/gabor2.bmp',\n",
" './samples_gabor/022/38/gabor1.bmp',\n",
" './samples_gabor/022/28/gabor0.bmp',\n",
" './samples_gabor/022/28/gabor3.bmp',\n",
" './samples_gabor/022/28/gabor2.bmp',\n",
" './samples_gabor/022/28/gabor1.bmp',\n",
" './samples_gabor/022/1/gabor0.bmp',\n",
" './samples_gabor/022/1/gabor3.bmp',\n",
" './samples_gabor/022/1/gabor2.bmp',\n",
" './samples_gabor/022/1/gabor1.bmp',\n",
" './samples_gabor/022/31/gabor0.bmp',\n",
" './samples_gabor/022/31/gabor3.bmp',\n",
" './samples_gabor/022/31/gabor2.bmp',\n",
" './samples_gabor/022/31/gabor1.bmp',\n",
" './samples_gabor/022/16/gabor0.bmp',\n",
" './samples_gabor/022/16/gabor3.bmp',\n",
" './samples_gabor/022/16/gabor2.bmp',\n",
" './samples_gabor/022/16/gabor1.bmp',\n",
" './samples_gabor/022/40/gabor0.bmp',\n",
" './samples_gabor/022/40/gabor3.bmp',\n",
" './samples_gabor/022/40/gabor2.bmp',\n",
" './samples_gabor/022/40/gabor1.bmp',\n",
" './samples_gabor/022/30/gabor0.bmp',\n",
" './samples_gabor/022/30/gabor3.bmp',\n",
" './samples_gabor/022/30/gabor2.bmp',\n",
" './samples_gabor/022/30/gabor1.bmp',\n",
" './samples_gabor/022/29/gabor0.bmp',\n",
" './samples_gabor/022/29/gabor3.bmp',\n",
" './samples_gabor/022/29/gabor2.bmp',\n",
" './samples_gabor/022/29/gabor1.bmp',\n",
" './samples_gabor/022/9/gabor0.bmp',\n",
" './samples_gabor/022/9/gabor3.bmp',\n",
" './samples_gabor/022/9/gabor2.bmp',\n",
" './samples_gabor/022/9/gabor1.bmp',\n",
" './samples_gabor/022/35/gabor0.bmp',\n",
" './samples_gabor/022/35/gabor3.bmp',\n",
" './samples_gabor/022/35/gabor2.bmp',\n",
" './samples_gabor/022/35/gabor1.bmp',\n",
" './samples_gabor/022/18/gabor0.bmp',\n",
" './samples_gabor/022/18/gabor3.bmp',\n",
" './samples_gabor/022/18/gabor2.bmp',\n",
" './samples_gabor/022/18/gabor1.bmp',\n",
" './samples_gabor/022/32/gabor0.bmp',\n",
" './samples_gabor/022/32/gabor3.bmp',\n",
" './samples_gabor/022/32/gabor2.bmp',\n",
" './samples_gabor/022/32/gabor1.bmp',\n",
" './samples_gabor/022/26/gabor0.bmp',\n",
" './samples_gabor/022/26/gabor3.bmp',\n",
" './samples_gabor/022/26/gabor2.bmp',\n",
" './samples_gabor/022/26/gabor1.bmp',\n",
" './samples_gabor/022/5/gabor0.bmp',\n",
" './samples_gabor/022/5/gabor3.bmp',\n",
" './samples_gabor/022/5/gabor2.bmp',\n",
" './samples_gabor/022/5/gabor1.bmp',\n",
" './samples_gabor/022/0/gabor0.bmp',\n",
" './samples_gabor/022/0/gabor3.bmp',\n",
" './samples_gabor/022/0/gabor2.bmp',\n",
" './samples_gabor/022/0/gabor1.bmp',\n",
" './samples_gabor/022/10/gabor0.bmp',\n",
" './samples_gabor/022/10/gabor3.bmp',\n",
" './samples_gabor/022/10/gabor2.bmp',\n",
" './samples_gabor/022/10/gabor1.bmp',\n",
" './samples_gabor/022/19/gabor0.bmp',\n",
" './samples_gabor/022/19/gabor3.bmp',\n",
" './samples_gabor/022/19/gabor2.bmp',\n",
" './samples_gabor/022/19/gabor1.bmp',\n",
" './samples_gabor/022/22/gabor0.bmp',\n",
" './samples_gabor/022/22/gabor3.bmp',\n",
" './samples_gabor/022/22/gabor2.bmp',\n",
" './samples_gabor/022/22/gabor1.bmp',\n",
" './samples_gabor/022/15/gabor0.bmp',\n",
" './samples_gabor/022/15/gabor3.bmp',\n",
" './samples_gabor/022/15/gabor2.bmp',\n",
" './samples_gabor/022/15/gabor1.bmp',\n",
" './samples_gabor/022/8/gabor0.bmp',\n",
" './samples_gabor/022/8/gabor3.bmp',\n",
" './samples_gabor/022/8/gabor2.bmp',\n",
" './samples_gabor/022/8/gabor1.bmp',\n",
" './samples_gabor/022/2/gabor0.bmp',\n",
" './samples_gabor/022/2/gabor3.bmp',\n",
" './samples_gabor/022/2/gabor2.bmp',\n",
" './samples_gabor/022/2/gabor1.bmp',\n",
" './samples_gabor/022/11/gabor0.bmp',\n",
" './samples_gabor/022/11/gabor3.bmp',\n",
" './samples_gabor/022/11/gabor2.bmp',\n",
" './samples_gabor/022/11/gabor1.bmp',\n",
" './samples_gabor/022/6/gabor0.bmp',\n",
" './samples_gabor/022/6/gabor3.bmp',\n",
" './samples_gabor/022/6/gabor2.bmp',\n",
" './samples_gabor/022/6/gabor1.bmp',\n",
" './samples_gabor/022/13/gabor0.bmp',\n",
" './samples_gabor/022/13/gabor3.bmp',\n",
" './samples_gabor/022/13/gabor2.bmp',\n",
" './samples_gabor/022/13/gabor1.bmp',\n",
" './samples_gabor/022/34/gabor0.bmp',\n",
" './samples_gabor/022/34/gabor3.bmp',\n",
" './samples_gabor/022/34/gabor2.bmp',\n",
" './samples_gabor/022/34/gabor1.bmp',\n",
" './samples_gabor/022/25/gabor0.bmp',\n",
" './samples_gabor/022/25/gabor3.bmp',\n",
" './samples_gabor/022/25/gabor2.bmp',\n",
" './samples_gabor/022/25/gabor1.bmp',\n",
" './samples_gabor/022/37/gabor0.bmp',\n",
" './samples_gabor/022/37/gabor3.bmp',\n",
" './samples_gabor/022/37/gabor2.bmp',\n",
" './samples_gabor/022/37/gabor1.bmp',\n",
" './samples_gabor/022/7/gabor0.bmp',\n",
" './samples_gabor/022/7/gabor3.bmp',\n",
" './samples_gabor/022/7/gabor2.bmp',\n",
" './samples_gabor/022/7/gabor1.bmp',\n",
" './samples_gabor/022/24/gabor0.bmp',\n",
" './samples_gabor/022/24/gabor3.bmp',\n",
" './samples_gabor/022/24/gabor2.bmp',\n",
" './samples_gabor/022/24/gabor1.bmp',\n",
" './samples_gabor/022/3/gabor0.bmp',\n",
" './samples_gabor/022/3/gabor3.bmp',\n",
" './samples_gabor/022/3/gabor2.bmp',\n",
" './samples_gabor/022/3/gabor1.bmp',\n",
" './samples_gabor/022/14/gabor0.bmp',\n",
" './samples_gabor/022/14/gabor3.bmp',\n",
" './samples_gabor/022/14/gabor2.bmp',\n",
" './samples_gabor/022/14/gabor1.bmp',\n",
" './samples_gabor/024/23/gabor0.bmp',\n",
" './samples_gabor/024/23/gabor3.bmp',\n",
" './samples_gabor/024/23/gabor2.bmp',\n",
" './samples_gabor/024/23/gabor1.bmp',\n",
" './samples_gabor/024/4/gabor0.bmp',\n",
" './samples_gabor/024/4/gabor3.bmp',\n",
" './samples_gabor/024/4/gabor2.bmp',\n",
" './samples_gabor/024/4/gabor1.bmp',\n",
" './samples_gabor/024/27/gabor0.bmp',\n",
" './samples_gabor/024/27/gabor3.bmp',\n",
" './samples_gabor/024/27/gabor2.bmp',\n",
" './samples_gabor/024/27/gabor1.bmp',\n",
" './samples_gabor/024/20/gabor0.bmp',\n",
" './samples_gabor/024/20/gabor3.bmp',\n",
" './samples_gabor/024/20/gabor2.bmp',\n",
" './samples_gabor/024/20/gabor1.bmp',\n",
" './samples_gabor/024/17/gabor0.bmp',\n",
" './samples_gabor/024/17/gabor3.bmp',\n",
" './samples_gabor/024/17/gabor2.bmp',\n",
" './samples_gabor/024/17/gabor1.bmp',\n",
" './samples_gabor/024/12/gabor0.bmp',\n",
" './samples_gabor/024/12/gabor3.bmp',\n",
" './samples_gabor/024/12/gabor2.bmp',\n",
" './samples_gabor/024/12/gabor1.bmp',\n",
" './samples_gabor/024/21/gabor0.bmp',\n",
" './samples_gabor/024/21/gabor3.bmp',\n",
" './samples_gabor/024/21/gabor2.bmp',\n",
" './samples_gabor/024/21/gabor1.bmp',\n",
" './samples_gabor/024/1/gabor0.bmp',\n",
" './samples_gabor/024/1/gabor3.bmp',\n",
" './samples_gabor/024/1/gabor2.bmp',\n",
" './samples_gabor/024/1/gabor1.bmp',\n",
" './samples_gabor/024/16/gabor0.bmp',\n",
" './samples_gabor/024/16/gabor3.bmp',\n",
" './samples_gabor/024/16/gabor2.bmp',\n",
" './samples_gabor/024/16/gabor1.bmp',\n",
" './samples_gabor/024/9/gabor0.bmp',\n",
" './samples_gabor/024/9/gabor3.bmp',\n",
" './samples_gabor/024/9/gabor2.bmp',\n",
" './samples_gabor/024/9/gabor1.bmp',\n",
" './samples_gabor/024/18/gabor0.bmp',\n",
" './samples_gabor/024/18/gabor3.bmp',\n",
" './samples_gabor/024/18/gabor2.bmp',\n",
" './samples_gabor/024/18/gabor1.bmp',\n",
" './samples_gabor/024/26/gabor0.bmp',\n",
" './samples_gabor/024/26/gabor3.bmp',\n",
" './samples_gabor/024/26/gabor2.bmp',\n",
" './samples_gabor/024/26/gabor1.bmp',\n",
" './samples_gabor/024/5/gabor0.bmp',\n",
" './samples_gabor/024/5/gabor3.bmp',\n",
" './samples_gabor/024/5/gabor2.bmp',\n",
" './samples_gabor/024/5/gabor1.bmp',\n",
" './samples_gabor/024/0/gabor0.bmp',\n",
" './samples_gabor/024/0/gabor3.bmp',\n",
" './samples_gabor/024/0/gabor2.bmp',\n",
" './samples_gabor/024/0/gabor1.bmp',\n",
" './samples_gabor/024/10/gabor0.bmp',\n",
" './samples_gabor/024/10/gabor3.bmp',\n",
" './samples_gabor/024/10/gabor2.bmp',\n",
" './samples_gabor/024/10/gabor1.bmp',\n",
" './samples_gabor/024/19/gabor0.bmp',\n",
" './samples_gabor/024/19/gabor3.bmp',\n",
" './samples_gabor/024/19/gabor2.bmp',\n",
" './samples_gabor/024/19/gabor1.bmp',\n",
" './samples_gabor/024/22/gabor0.bmp',\n",
" './samples_gabor/024/22/gabor3.bmp',\n",
" './samples_gabor/024/22/gabor2.bmp',\n",
" './samples_gabor/024/22/gabor1.bmp',\n",
" './samples_gabor/024/15/gabor0.bmp',\n",
" './samples_gabor/024/15/gabor3.bmp',\n",
" './samples_gabor/024/15/gabor2.bmp',\n",
" './samples_gabor/024/15/gabor1.bmp',\n",
" './samples_gabor/024/8/gabor0.bmp',\n",
" './samples_gabor/024/8/gabor3.bmp',\n",
" './samples_gabor/024/8/gabor2.bmp',\n",
" './samples_gabor/024/8/gabor1.bmp',\n",
" './samples_gabor/024/2/gabor0.bmp',\n",
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" './samples_gabor/010/0/gabor1.bmp',\n",
" './samples_gabor/010/10/gabor0.bmp',\n",
" './samples_gabor/010/10/gabor3.bmp',\n",
" './samples_gabor/010/10/gabor2.bmp',\n",
" './samples_gabor/010/10/gabor1.bmp',\n",
" './samples_gabor/010/19/gabor0.bmp',\n",
" './samples_gabor/010/19/gabor3.bmp',\n",
" './samples_gabor/010/19/gabor2.bmp',\n",
" './samples_gabor/010/19/gabor1.bmp',\n",
" './samples_gabor/010/22/gabor0.bmp',\n",
" './samples_gabor/010/22/gabor3.bmp',\n",
" './samples_gabor/010/22/gabor2.bmp',\n",
" './samples_gabor/010/22/gabor1.bmp',\n",
" './samples_gabor/010/15/gabor0.bmp',\n",
" './samples_gabor/010/15/gabor3.bmp',\n",
" './samples_gabor/010/15/gabor2.bmp',\n",
" './samples_gabor/010/15/gabor1.bmp',\n",
" './samples_gabor/010/8/gabor0.bmp',\n",
" './samples_gabor/010/8/gabor3.bmp',\n",
" './samples_gabor/010/8/gabor2.bmp',\n",
" './samples_gabor/010/8/gabor1.bmp',\n",
" ...]"
]
},
"metadata": {},
"execution_count": 3
}
],
"source": [
"import glob\n",
"glob.glob(\"./samples_gabor/**/**/*.bmp\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "j5UtFwzzYA-u",
"outputId": "f4c01ebc-94f1-455c-85e0-855e93f1884d"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['022',\n",
" '024',\n",
" '015',\n",
" '005',\n",
" '014',\n",
" '032',\n",
" '013',\n",
" '010',\n",
" '009',\n",
" '034',\n",
" '012',\n",
" '025',\n",
" '016',\n",
" '038',\n",
" '037',\n",
" '007',\n",
" '041',\n",
" '018',\n",
" '031',\n",
" '036',\n",
" '027',\n",
" '035',\n",
" '006',\n",
" '021',\n",
" '030',\n",
" '028',\n",
" '019',\n",
" '023',\n",
" '001',\n",
" '026',\n",
" '008',\n",
" '002',\n",
" '040',\n",
" '033',\n",
" '004',\n",
" '017',\n",
" '039',\n",
" '029',\n",
" '020',\n",
" '003',\n",
" '011']"
]
},
"metadata": {},
"execution_count": 4
}
],
"source": [
"import os\n",
"os.listdir(\"samples_gabor\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"id": "9rAueF03nV5N"
},
"outputs": [],
"source": [
"import cv2"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "s0bEm9EVdZ-A",
"outputId": "91f44793-1c1f-4f97-a45d-2f7af02d2da0"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7fd1fc366040>"
]
},
"metadata": {},
"execution_count": 113
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 5040x5040 with 1 Axes>"
],
"image/png": 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},
"metadata": {}
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"def mergeGabor4Feature(gabor4):\n",
" gabor0 = gabor4[0]\n",
" gabor1 = gabor4[1]\n",
" gabor2 = gabor4[2]\n",
" gabor3 = gabor4[3]\n",
" \n",
" res = cv2.merge([gabor0, gabor1, gabor2, gabor3])\n",
" return res\n",
"\n",
"def merge_into_4d(basePath):\n",
" gabor0 = cv2.imread(f\"{basePath}/gabor0.bmp\")\n",
" gabor1 = cv2.imread(f\"{basePath}/gabor1.bmp\")\n",
" gabor2 = cv2.imread(f\"{basePath}/gabor2.bmp\")\n",
" gabor3 = cv2.imread(f\"{basePath}/gabor3.bmp\")\n",
"\n",
" gabor0 = cv2.cvtColor(gabor0, cv2.COLOR_BGR2GRAY)\n",
" gabor1 = cv2.cvtColor(gabor1, cv2.COLOR_BGR2GRAY)\n",
" gabor2 = cv2.cvtColor(gabor2, cv2.COLOR_BGR2GRAY)\n",
" gabor3 = cv2.cvtColor(gabor3, cv2.COLOR_BGR2GRAY)\n",
" \n",
" res = cv2.merge([gabor0, gabor1, gabor2, gabor3])\n",
" # res = cv2.resize(res, (32, 32))\n",
" return res\n",
"\n",
"merged = merge_into_4d(\"/content/samples_gabor/001/0\")\n",
"plt.imshow(merged)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "eP0e0tioeP1V",
"outputId": "57a884bd-9c28-4ae6-c3f7-c4055431b063"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(64, 64, 4)"
]
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"merged.shape"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "bVCbTCYheyDr"
},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "HJzWL8_iXVA0"
},
"outputs": [],
"source": [
"import torch\n",
"from torchvision.datasets.vision import VisionDataset\n",
"from typing import Optional, Callable, Tuple, List\n",
"import cv2\n",
"\n",
"class Gabor4Datasets(VisionDataset):\n",
" samples: 'List[Tuple[Int, str]]' = [] # isi tuple: (person_id, sample_path_root), didalem sample_path_root HARUS ada 4 file gabor0.bmp sampai gabor3.bmp\n",
"\n",
" def __init__(\n",
" self,\n",
" root: str,\n",
" transform = None\n",
" ):\n",
" super().__init__(root=root)\n",
" \n",
" self.transform = transform\n",
"\n",
" self.person_names = set()\n",
" self.person_names_counter = {}\n",
"\n",
" self.classes = []\n",
" self.classes_to_person_names = {}\n",
" self.person_names_to_classes = {}\n",
" \n",
" for person_name_str in os.listdir(root):\n",
" d = os.path.join(root, person_name_str)\n",
" self.person_names.add(person_name_str)\n",
"\n",
" if os.path.isdir(d):\n",
" gabor_samples = os.listdir(d)\n",
" self.person_names_counter[person_name_str] = len(gabor_samples)\n",
"\n",
" for gabor_path in gabor_samples:\n",
" self.samples.append((person_name_str, os.path.join(d, gabor_path)))\n",
" \n",
" self.classes_to_person_names = {i: name for i, name in enumerate(self.person_names)}\n",
" self.person_names_to_classes = {name: i for i, name in self.classes_to_person_names.items()}\n",
" self.classes = [key for key in self.classes_to_person_names.keys()]\n",
" print(\"Number of samples\", len(self.samples))\n",
" \n",
" def __len__(self):\n",
" return len(self.samples)\n",
"\n",
" def __getitem__(self, idx):\n",
" if torch.is_tensor(idx):\n",
" idx = idx.tolist()\n",
"\n",
" person_name, gabor4path = self.samples[idx]\n",
" img = merge_into_4d(gabor4path)\n",
" \n",
" if self.transform:\n",
" img = self.transform(img)\n",
" \n",
" person_id = self.person_names_to_classes[person_name]\n",
" return person_id, img"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "3hLTJo99b5qC"
},
"outputs": [],
"source": [
"import torchvision\n",
"import torchvision.transforms as transforms\n",
"import torch.nn as nn\n",
"import torch.nn.functional as F\n",
"import torch"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "4VPoDkhSisWT"
},
"outputs": [],
"source": [
"# functions to show an image\n",
"def imshow(img):\n",
" img = img / 2 + 0.5 # unnormalize\n",
" npimg = img.numpy()\n",
" plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "YKbxydrMXzWC"
},
"outputs": [],
"source": [
"transformer = transforms.Compose([\n",
" transforms.ToTensor(),\n",
" transforms.Resize((32,32)),\n",
" transforms.Normalize((0.5,0.5,0.5,0.5,), (0.5,0.5,0.5,0.5,))\n",
"])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 192
},
"id": "3XmOrO1gdkMF",
"outputId": "97bdab2d-8223-432c-f092-243f76a21fc7"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Number of samples 1297\n",
"[0, 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]\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"18 25 18 31 35\n",
"torch.Size([5, 4, 32, 32])\n"
]
}
],
"source": [
"temp_datasets = Gabor4Datasets('./samples_gabor', transform=transformer)\n",
"print(temp_datasets.classes)\n",
"temp_batch_size = 5\n",
"temp_loader = torch.utils.data.DataLoader(temp_datasets, batch_size=temp_batch_size, shuffle=True)\n",
"temp_iter = iter(temp_loader)\n",
"temp_labels, temp_images = next(temp_iter)\n",
"imshow(torchvision.utils.make_grid(temp_images))\n",
"print(' '.join(f'{temp_labels[j]}' for j in range(temp_batch_size)))\n",
"print(temp_images.shape)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "B4aaRm24ak-_",
"outputId": "a9e0ff9d-1775-4d00-c469-6856305d3ada"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{'022': 41,\n",
" '024': 28,\n",
" '015': 29,\n",
" '005': 36,\n",
" '014': 37,\n",
" '032': 28,\n",
" '013': 22,\n",
" '010': 40,\n",
" '009': 29,\n",
" '034': 29,\n",
" '012': 26,\n",
" '025': 40,\n",
" '016': 40,\n",
" '038': 34,\n",
" '037': 41,\n",
" '007': 40,\n",
" '041': 22,\n",
" '018': 25,\n",
" '031': 25,\n",
" '036': 26,\n",
" '027': 38,\n",
" '035': 39,\n",
" '006': 40,\n",
" '021': 9,\n",
" '030': 27,\n",
" '028': 35,\n",
" '019': 40,\n",
" '023': 40,\n",
" '001': 36,\n",
" '026': 24,\n",
" '008': 30,\n",
" '002': 40,\n",
" '040': 22,\n",
" '033': 40,\n",
" '004': 21,\n",
" '017': 40,\n",
" '039': 25,\n",
" '029': 25,\n",
" '020': 30,\n",
" '003': 33,\n",
" '011': 25}"
]
},
"metadata": {},
"execution_count": 14
}
],
"source": [
"temp_datasets.person_names_counter"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "FOqvxJEBQpF7",
"outputId": "df0d1d86-2503-401e-fc48-1a763fabc8d9"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"{0: '022',\n",
" 1: '014',\n",
" 2: '029',\n",
" 3: '011',\n",
" 4: '018',\n",
" 5: '012',\n",
" 6: '017',\n",
" 7: '015',\n",
" 8: '010',\n",
" 9: '030',\n",
" 10: '006',\n",
" 11: '027',\n",
" 12: '026',\n",
" 13: '033',\n",
" 14: '028',\n",
" 15: '024',\n",
" 16: '040',\n",
" 17: '003',\n",
" 18: '025',\n",
" 19: '038',\n",
" 20: '004',\n",
" 21: '001',\n",
" 22: '037',\n",
" 23: '007',\n",
" 24: '019',\n",
" 25: '008',\n",
" 26: '032',\n",
" 27: '005',\n",
" 28: '031',\n",
" 29: '020',\n",
" 30: '002',\n",
" 31: '023',\n",
" 32: '013',\n",
" 33: '041',\n",
" 34: '021',\n",
" 35: '036',\n",
" 36: '039',\n",
" 37: '035',\n",
" 38: '034',\n",
" 39: '009',\n",
" 40: '016'}"
]
},
"metadata": {},
"execution_count": 15
}
],
"source": [
"temp_datasets.classes_to_person_names"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "18K_dyQLawSQ"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "XJ_H80bnanSk",
"outputId": "1a69e0e0-18d0-48d5-d68f-23791c97081f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Number of samples 2594\n"
]
}
],
"source": [
"import pytorch_lightning as pl\n",
"import math\n",
"\n",
"class Gabor4DataModule(pl.LightningDataModule):\n",
" def __init__(self, train_percent = 0.7, val_percent = 0.15, test_percent = 0.15, batch_size: int = 4):\n",
" super().__init__()\n",
" \n",
" self.datasets_src = Gabor4Datasets('./samples_gabor', transform=transformer)\n",
" self.batch_size = batch_size\n",
" \n",
" self.train_percent = train_percent\n",
" self.val_percent = val_percent\n",
" self.test_percent = test_percent\n",
"\n",
" def setup(self, stage: str):\n",
" train_set, valid_set, test_set = torch.utils.data.random_split(\n",
" self.datasets_src, \n",
" [self.train_percent, self.val_percent, self.test_percent],\n",
" generator=torch.Generator().manual_seed(42)\n",
" )\n",
" self.train_set = train_set\n",
" self.valid_set = valid_set\n",
" self.test_set = test_set\n",
"\n",
" print(\"Training data:\", len(train_set))\n",
" print(\"Val data:\", len(valid_set))\n",
" print(\"Test data:\", len(test_set))\n",
"\n",
"\n",
" def train_dataloader(self):\n",
" return torch.utils.data.DataLoader(self.train_set, batch_size=self.batch_size,\n",
" shuffle=True)\n",
"\n",
" def val_dataloader(self):\n",
" return torch.utils.data.DataLoader(self.valid_set, batch_size=self.batch_size,\n",
" shuffle=False)\n",
"\n",
" def test_dataloader(self):\n",
" return torch.utils.data.DataLoader(self.test_set, batch_size=self.batch_size,\n",
" shuffle=False)\n",
" \n",
"gabor4_datamodule = Gabor4DataModule()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"id": "aWyjlET7_kBt"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"id": "LbEr_jlAbqDk"
},
"outputs": [],
"source": [
"from torchvision.models import resnet18, ResNet18_Weights\n",
"import seaborn as sns\n",
"from sklearn.metrics import confusion_matrix\n",
"\n",
"class BaseModel(pl.LightningModule):\n",
" def __init__(self, target_classes):\n",
" super().__init__()\n",
" self.target_classes = target_classes\n",
" # self.save_hyperparameters()\n",
"\n",
" self.validation_step_outputs = []\n",
" self.test_step_outputs = []\n",
" \n",
" def training_step(self, batch, batch_idx):\n",
" y, x = batch\n",
" y_hat = self(x)\n",
" loss = F.cross_entropy(y_hat, y)\n",
" return loss\n",
" \n",
" def test_step(self, batch, batch_idx):\n",
" y, x = batch\n",
" y_hat = self(x)\n",
" \n",
" y_preds = []\n",
" \n",
" correct_pred = {classname: 0 for classname in self.target_classes}\n",
" total_pred = {classname: 0 for classname in self.target_classes}\n",
" \n",
" for labels, predictions in zip(y, y_hat):\n",
" y_pred = torch.argmax(predictions)\n",
" if labels == y_pred:\n",
" correct_pred[self.target_classes[labels]] += 1\n",
" total_pred[self.target_classes[labels]] += 1\n",
" \n",
" y_preds.append(y_pred)\n",
"\n",
" self.test_step_outputs.append({\n",
" \"correct_pred\": correct_pred,\n",
" \"total_pred\": total_pred,\n",
" \"y\": y,\n",
" \"y_hat\": torch.tensor(y_preds)\n",
" })\n",
" \n",
" def on_test_epoch_end(self):\n",
" epoch_correct_pred = {classname: 0 for classname in self.target_classes}\n",
" epoch_total_pred = {classname: 0 for classname in self.target_classes}\n",
" \n",
" corr = 0\n",
" tot = 0\n",
" \n",
" y_all = []\n",
" y_hat_all = []\n",
" for it in self.test_step_outputs:\n",
" # Combine all y and y_hat from all steps\n",
" y_all.extend(it['y'].tolist())\n",
" y_hat_all.extend(it['y_hat'].tolist())\n",
" \n",
" # Aggregate per class from all steps\n",
" for key in epoch_correct_pred.keys():\n",
" correct_num = it['correct_pred'][key]\n",
" total_num = it['total_pred'][key]\n",
" \n",
" corr += correct_num\n",
" tot += total_num\n",
" \n",
" epoch_correct_pred[key] += correct_num\n",
" epoch_total_pred[key] += total_num\n",
" \n",
" epoch_acc_per_class = {}\n",
" for key in epoch_correct_pred.keys():\n",
" if epoch_total_pred[key] > 0:\n",
" epoch_acc_per_class[f'test_acc_{key}'] = epoch_correct_pred[key]/epoch_total_pred[key]\n",
" \n",
" self.log(\"test_acc\", torch.tensor(corr/tot, dtype=torch.float32))\n",
" self.log(\"test_num_correct\", torch.tensor(corr, dtype=torch.float32))\n",
" self.log(\"test_num_total\", torch.tensor(tot, dtype=torch.float32))\n",
" self.log_dict(epoch_acc_per_class)\n",
" \n",
" plt.figure(figsize=(20,20))\n",
" transform = transforms.Compose([\n",
" transforms.ToTensor(),\n",
" ])\n",
" confusion = confusion_matrix(y_all, y_hat_all)\n",
" sns.heatmap(confusion, annot=True, cmap='Blues', fmt='g')\n",
" plt.savefig(\"temp.png\")\n",
" plt.close()\n",
" im = cv2.imread('temp.png')\n",
" im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)\n",
" im = transform(im)\n",
" im = torchvision.utils.make_grid(im)\n",
" self.logger.experiment.add_image(\"conf_matrix\", im)\n",
" self.test_step_outputs.clear()\n",
" \n",
" features = {}\n",
" def get_features(self, name):\n",
" def hook(model, input, output):\n",
" self.features[name] = output.detach()\n",
" return hook\n",
"\n",
" def validation_step(self, batch, batch_idx):\n",
" y, x = batch\n",
" y_hat = self(x)\n",
" loss = F.cross_entropy(y_hat, y)\n",
" \n",
" # out of 4 (batch size)\n",
" correct = 0\n",
" wrong = 0\n",
" \n",
" for labels, predictions in zip(y, y_hat):\n",
" if labels == torch.argmax(predictions):\n",
" correct += 1\n",
" else:\n",
" wrong += 1\n",
" \n",
" grid = torchvision.utils.make_grid(x)\n",
" self.logger.experiment.add_image(\"validation_images_example\", grid)\n",
" self.log('val_correct', torch.tensor(correct))\n",
" self.log('val_wrong', torch.tensor(wrong))\n",
" self.log('val_percent_correct', torch.tensor(correct/(correct+wrong)), prog_bar=True)\n",
" self.log('val_loss', loss, prog_bar=True)\n",
" self.validation_step_outputs.append({\"loss\": loss, \"correct\": torch.tensor(correct), \"wrong\": torch.tensor(wrong)})\n",
" return loss\n",
" \n",
" def on_validation_epoch_end(self):\n",
" tot_correct = 0\n",
" tot_wrong = 0\n",
" total = 0\n",
" \n",
" tot_loss = 0\n",
" \n",
" for it in self.validation_step_outputs:\n",
" loss = it['loss']\n",
" correct = it['correct']\n",
" wrong = it['wrong']\n",
" \n",
" tot_loss += loss\n",
" tot_correct += correct\n",
" tot_wrong += wrong\n",
" total += (correct + wrong)\n",
" \n",
" self.log(\"val_epoch_loss\", tot_loss/len(self.validation_step_outputs))\n",
" self.log(\"val_epoch_num_correct\", tot_correct)\n",
" self.log(\"val_epoch_num_wrong\", tot_wrong)\n",
" self.log(\"val_epoch_acc\", tot_correct/total, prog_bar=True)\n",
"\n",
" self.validation_step_outputs.clear()\n",
" \n",
"\n",
" def configure_optimizers(self):\n",
" return torch.optim.Adam(self.parameters(), lr=0.001)\n",
"\n",
"\n",
"class LitPalmModel(BaseModel):\n",
" def __init__(self, target_classes):\n",
" super().__init__(target_classes=target_classes)\n",
" self.conv1 = nn.Conv2d(3, 6, 5)\n",
" self.pool = nn.MaxPool2d(2, 2)\n",
" self.conv2 = nn.Conv2d(6, 16, 5)\n",
" self.fc1 = nn.Linear(16 * 5 * 5, 120)\n",
" self.fc2 = nn.Linear(120, 84)\n",
" self.fc3 = nn.Linear(84, len(target_classes))\n",
"\n",
" self.conv2.register_forward_hook(self.get_features('conv2'))\n",
"\n",
" def forward(self, x):\n",
" x = self.pool(F.relu(self.conv1(x)))\n",
" x = self.pool(F.relu(self.conv2(x)))\n",
" x = torch.flatten(x, 1) # flatten all dimensions except batch\n",
" x = F.relu(self.fc1(x))\n",
" x = F.relu(self.fc2(x))\n",
" x = self.fc3(x)\n",
" return x\n",
"\n",
"\n",
"class Resnet18TLModel(BaseModel):\n",
" def __init__(self, target_classes):\n",
" super().__init__(target_classes=target_classes)\n",
" self.model = resnet18(weights=ResNet18_Weights.DEFAULT)\n",
" \n",
" # original definition of the first layer on the resnet class\n",
" # (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
" self.model.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False)\n",
" self.model.fc = nn.Linear(in_features=512, out_features=len(target_classes), bias=True)\n",
"\n",
" self.model.avgpool.register_forward_hook(self.get_features('avgpool'))\n",
"\n",
"\n",
" def forward(self, x):\n",
" return self.model(x)\n",
"\n",
"\n",
"class Resnet18TL4DModel(BaseModel):\n",
" def __init__(self, target_classes):\n",
" super().__init__(target_classes=target_classes)\n",
" self.model = resnet18(weights=ResNet18_Weights.DEFAULT)\n",
" \n",
" # original definition of the first layer on the resnet class\n",
" # (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
" self.model.conv1 = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False)\n",
" self.model.fc = nn.Linear(in_features=512, out_features=len(target_classes), bias=True)\n",
"\n",
" self.model.avgpool.register_forward_hook(self.get_features('avgpool'))\n",
"\n",
"\n",
" def forward(self, x):\n",
" return self.model(x)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"id": "nUyzAOiVdLZ6"
},
"outputs": [],
"source": [
"from pytorch_lightning.loggers import TensorBoardLogger\n",
"from pytorch_lightning.callbacks.early_stopping import EarlyStopping"
]
},
{
"cell_type": "code",
"source": [
"model = Resnet18TL4DModel(gabor4_datamodule.datasets_src.classes)"
],
"metadata": {
"id": "-_gmnh_uwckB"
},
"execution_count": 54,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "X4A8dS7ycJbQ",
"outputId": "0311f63c-1519-4738-95c7-28c7e7eedc53"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True\n",
"INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n",
"INFO:pytorch_lightning.utilities.rank_zero:IPU available: False, using: 0 IPUs\n",
"INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Number of samples 6485\n"
]
}
],
"source": [
"gabor4_datamodule = Gabor4DataModule()\n",
"logger = TensorBoardLogger(save_dir='/content/drive/MyDrive/Colab Notebooks/BuWirdi/ROI_Hand_Restnet18/lightning_logs', name=model.__class__.__name__)\n",
"trainer = pl.Trainer(\n",
" fast_dev_run=False,\n",
" max_epochs=50, \n",
" logger=logger, \n",
" accelerator='gpu', \n",
" devices=1, \n",
" val_check_interval=0.1,\n",
" callbacks=[]\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 874,
"resources": {
"https://localhost:6006/?tensorboardColab=true": {
"data": "<!doctype html><meta name="tb-relative-root" content="./"><!doctype html><!--
@license
Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
--><html><head><meta charset="utf-8">
<title>TensorBoard</title>
<link rel="shortcut icon" 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">
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">

<style>
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/uYECMKoHcO9x1wdmbyHIm3-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/sTdaA6j0Psb920Vjv-mrzH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/_VYFx-s824kXq_Ul2BHqYH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/tnj4SB6DNbdaQnsM8CFqBX-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/oMMgfZMQthOryQo9n22dcuvvDin1pK8aKteLpeZ5c0A.woff2) format('woff2');
  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2212, U+2215;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/Ks_cVxiCiwUWVsFWFA3Bjn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0100-024F, U+1E00-1EFF, U+20A0-20AB, U+20AD-20CF, U+2C60-2C7F, U+A720-A7FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/NJ4vxlgWwWbEsv18dAhqnn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0102-0103, U+1EA0-1EF9, U+20AB;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/isZ-wbCXNKAbnjo6_TwHToX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/77FXFjRbGzN4aCrSFhlh3oX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/jSN2CGVDbcVyCnfJfjSdfIX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/UX6i4JxQDm3fVTc1CPuwqoX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
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  src: local('Roboto Mono Bold'), local('RobotoMono-Bold'), url(/font-roboto/N4duVc9C58uwPiY8_59Fzwn6Wqxo-xwxilDXPU8chVU.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto Mono';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Mono Bold'), local('RobotoMono-Bold'), url(/font-roboto/N4duVc9C58uwPiY8_59Fz1T7aJLK6nKpn36IMwTcMMc.woff2) format('woff2');
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}
@font-face {
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  font-style: normal;
  font-weight: 700;
  src: local('Roboto Mono Bold'), local('RobotoMono-Bold'), url(/font-roboto/N4duVc9C58uwPiY8_59Fz_79_ZuUxCigM2DespTnFaw.woff2) format('woff2');
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}
@font-face {
  font-family: 'Roboto Mono';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Mono Bold'), local('RobotoMono-Bold'), url(/font-roboto/N4duVc9C58uwPiY8_59Fz4gd9OEPUCN3AdYW0e8tat4.woff2) format('woff2');
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}
@font-face {
  font-family: 'Roboto Mono';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Mono Bold'), local('RobotoMono-Bold'), url(/font-roboto/N4duVc9C58uwPiY8_59Fz8bIQSYZnWLaWC9QNCpTK_U.woff2) format('woff2');
  unicode-range: U+0102-0103, U+1EA0-1EF9, U+20AB;
}
</style>



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",
"headers": [
[
"content-type",
"font/woff2"
]
],
"ok": true,
"status": 200,
"status_text": ""
},
"https://localhost:6006/font-roboto/oMMgfZMQthOryQo9n22dcuvvDin1pK8aKteLpeZ5c0A.woff2": {
"data": 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",
"headers": [
[
"content-type",
"font/woff2"
]
],
"ok": true,
"status": 200,
"status_text": ""
},
"https://localhost:6006/font-roboto/vPcynSL0qHq_6dX7lKVByXYhjbSpvc47ee6xR_80Hnw.woff2": {
"data": 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