04-Feature-Generation-1-ResNet.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f9886833",
   "metadata": {},
   "source": [
    "# Feature Generation - ResNet\n",
    "\n",
    "In this notebook, we create these features:\n",
    " - Target size ratio (bbox/segmentation)\n",
    " - Number of targets\n",
    " - ResNet Features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b3c31a39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://pip.repos.neuron.amazonaws.com\n",
      "Requirement already satisfied: torchvision==0.13 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (0.13.0)\n",
      "Requirement already satisfied: typing-extensions in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from torchvision==0.13) (4.0.0)\n",
      "Requirement already satisfied: numpy in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from torchvision==0.13) (1.21.2)\n",
      "Requirement already satisfied: requests in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from torchvision==0.13) (2.26.0)\n",
      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from torchvision==0.13) (9.0.1)\n",
      "Requirement already satisfied: torch==1.12.0 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from torchvision==0.13) (1.12.0)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from requests->torchvision==0.13) (2.0.7)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from requests->torchvision==0.13) (3.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from requests->torchvision==0.13) (2021.10.8)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/anaconda3/envs/pytorch_p38/lib/python3.8/site-packages (from requests->torchvision==0.13) (1.26.8)\n",
      "\u001b[33mWARNING: You are using pip version 22.0.4; however, version 22.2.2 is available.\n",
      "You should consider upgrading via the '/home/ec2-user/anaconda3/envs/pytorch_p38/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!pip install torchvision==0.13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cd34a9dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.12.0+cu102'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "torch.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3ad734f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.13.0+cu102'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torchvision\n",
    "torchvision.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "89e6810d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision.models import resnet50, ResNet50_Weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e798b071",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "model = resnet50(weights=ResNet50_Weights.IMAGENET1K_V2)\n",
    "# print(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "29210a21",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "newmodel = torch.nn.Sequential(*(list(model.children())[:-1]))\n",
    "# print(newmodel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e80f825",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "conda_pytorch_p38",
   "language": "python",
   "name": "conda_pytorch_p38"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}