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{ | |
"cells": [ | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### RiskMap CV\n", | |
"\n", | |
"**TODO**:\n", | |
"\n", | |
"- Create saliency maps and gradCAM outputs based on trained model (captum)\n", | |
"- Augment training images with rotated variants. \n", | |
"- Test segmented linkId images.\n", | |
"- Ablation test of model hyper-parameters.\n", | |
"- Setup Tensorboard to monitor training. \n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"\n", | |
"To initialize tensorboard, from ec2, run (ensure PyTorch environment activated):\n", | |
"\n", | |
"```\n", | |
"[remotehost] $ tensorboard --host 0.0.0.0 --port=6006 --logdir=<location-of-tensorboard-logs>\n", | |
"```\n", | |
"\n", | |
"Then from localhost, run:\n", | |
"\n", | |
"```\n", | |
"[localhost] $ ssh ec2g -N -f -L 127.0.0.1:6006:127.0.0.1:6006\n", | |
"```\n", | |
"\n", | |
"Then type `127.0.0.1:6006/` in the Chrome address bar. \n", | |
"\n", | |
"<br>\n", | |
"\n", | |
"```\n", | |
"$ tensorboard --host 0.0.0.0 --port=6006 --logdir=/data/data0/home/jtriz/riskmap-data/training/logs/multimodal-resnet101-2024-03-24\n", | |
"```\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/data/data0/home/jtriz/miniforge3/envs/torch/lib/python3.11/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/data/data0/home/jtriz/miniforge3/envs/torch/lib/python3.11/site-packages/torchvision/image.so: undefined symbol: _ZN3c1017RegisterOperatorsD1Ev'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?\n", | |
" warn(\n" | |
] | |
}, | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Author: [email protected]\n", | |
"\n", | |
"Python implementation: CPython\n", | |
"Python version : 3.11.6\n", | |
"IPython version : 8.22.2\n", | |
"\n", | |
"conda environment: torch\n", | |
"\n", | |
"Compiler : GCC 12.3.0\n", | |
"OS : Linux\n", | |
"Release : 5.10.192-183.736.amzn2.x86_64\n", | |
"Machine : x86_64\n", | |
"Processor : x86_64\n", | |
"CPU cores : 4\n", | |
"Architecture: 64bit\n", | |
"\n", | |
"Hostname: ip-10-97-77-255.intr.ue1.prd.aws.cloud.arity.com\n", | |
"\n", | |
"torchvision: 0.15.2\n", | |
"tqdm : 4.66.2\n", | |
"pandas : 2.2.1\n", | |
"torch : 2.2.1\n", | |
"skimage : 0.22.0\n", | |
"boto3 : 1.34.51\n", | |
"matplotlib : 3.8.3\n", | |
"PIL : 10.2.0\n", | |
"numpy : 1.26.4\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"%load_ext watermark\n", | |
"%load_ext autoreload\n", | |
"\n", | |
"from datetime import datetime\n", | |
"import os\n", | |
"from pathlib import Path\n", | |
"import shutil\n", | |
"import warnings\n", | |
"\n", | |
"import boto3\n", | |
"import matplotlib as mpl\n", | |
"import matplotlib.pyplot as plt\n", | |
"import numpy as np\n", | |
"import pandas as pd\n", | |
"from PIL import Image\n", | |
"import skimage\n", | |
"\n", | |
"import torch\n", | |
"from torch import autograd\n", | |
"import torch.nn as nn\n", | |
"import torch.nn.functional as F\n", | |
"import torchvision\n", | |
"from torchvision import transforms, utils\n", | |
"from torchvision.io import read_image\n", | |
"from torch.utils.data import Dataset, DataLoader\n", | |
"from torch.utils.tensorboard import SummaryWriter\n", | |
"import tqdm\n", | |
"\n", | |
"\n", | |
"s3 = boto3.client(\"s3\")\n", | |
"np.set_printoptions(suppress=True, precision=5, linewidth=1000)\n", | |
"pd.options.mode.chained_assignment = None\n", | |
"pd.set_option('display.max_columns', None)\n", | |
"pd.set_option('display.width', None)\n", | |
"pd.set_option(\"display.precision\", 5)\n", | |
"\n", | |
"rng = np.random.default_rng(516)\n", | |
"torch.manual_seed(516)\n", | |
"\n", | |
"# Configuration ----------------------------------------------------------------\n", | |
"\n", | |
"link_images = \"osm-256\" # \"osm-256\", \"positron-384\", \"positron-segmented-384\"\n", | |
"clf_thresh = .90\n", | |
"pretrained_model = \"resnet50\" # resnet34, resnet50, resnet101, resnet152, vgg11, vgg13, vgg19\n", | |
"target = \"count-1\"\n", | |
"\n", | |
"s3_bucketname = \"arity-sdl-tm-int-us-east-1-prod-geo\"\n", | |
"pretrained_key = \"pytorch-pretrained/{pretrained_model}.pth\"\n", | |
"s3_data_key = \"riskmap/data/charlotte-features.csv\"\n", | |
"s3_pretrained_models_key_suffix = \"pytorch-pretrained\"\n", | |
"s3_images_key_suffix = \"riskmap/link-images\"\n", | |
"\n", | |
"# Pretrained models ------------------------------------------------------------\n", | |
"\n", | |
"dpretrained = {\n", | |
" \"resnet18\": torchvision.models.resnet18,\n", | |
" \"resnet34\": torchvision.models.resnet34,\n", | |
" \"resnet50\": torchvision.models.resnet50,\n", | |
" \"resnet101\": torchvision.models.resnet101,\n", | |
" \"resnet152\": torchvision.models.resnet152, \n", | |
" \"vgg11\": torchvision.models.vgg11,\n", | |
" \"vgg13\": torchvision.models.vgg13,\n", | |
" \"vgg19\": torchvision.models.vgg19\n", | |
" }\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"%autoreload 2\n", | |
"%watermark --python --conda --hostname --machine --iversions --author=\"[email protected]\" \n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"---" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Pull training data (network features and images) from S3. `link_images` must be one of:\n", | |
"\n", | |
"- `osm-256`\n", | |
"- `positron-384`\n", | |
"- `positron-segmented-384`\n", | |
"\n", | |
"Data will be downloaded to `$HOME/riskmap-data`. Directory will be created if it doesn't already exist." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"+ riskmap/data/charlotte-train.csv exists locally (all good).\n", | |
"+ riskmap/data/charlotte-valid.csv exists locally (all good).\n", | |
"+ osm-256 exists locally (all good).\n" | |
] | |
} | |
], | |
"source": [ | |
"!python3 data_getter.py --images={link_images}\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Pull down pretrained PyTorch model specified by `pretrained_model`." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"download: s3://arity-sdl-tm-int-us-east-1-prod-geo/pytorch-pretrained/resnet50.pth to ../../../resnet50.pth\n" | |
] | |
} | |
], | |
"source": [ | |
"!aws s3 cp s3://arity-sdl-tm-int-us-east-1-prod-geo/pytorch-pretrained/{pretrained_model}.pth ~/\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Assign target class based on `clf_thresh`. Initially, ranked actual hard braking rates are used as a target." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"\n", | |
"dftrain.shape: 139,825\n", | |
"dfvalid.shape: 17,211\n", | |
"dftest.shape : 2,765\n", | |
"\n", | |
"class\n", | |
"0.0 125842\n", | |
"1.0 13983\n", | |
"Name: count, dtype: int64\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>degree_centrality</th>\n", | |
" <th>evec_centrality</th>\n", | |
" <th>katz_centrality</th>\n", | |
" <th>pagerank_centrality</th>\n", | |
" <th>clust_coeff</th>\n", | |
" <th>hits_auths</th>\n", | |
" <th>core_number</th>\n", | |
" <th>log_degree_centrality</th>\n", | |
" <th>sinuosity</th>\n", | |
" <th>LANE_CATEGORY_2</th>\n", | |
" <th>LANE_CATEGORY_3</th>\n", | |
" <th>SPEED_CATEGORY_3</th>\n", | |
" <th>SPEED_CATEGORY_4</th>\n", | |
" <th>SPEED_CATEGORY_5</th>\n", | |
" <th>SPEED_CATEGORY_6</th>\n", | |
" <th>SPEED_CATEGORY_7</th>\n", | |
" <th>SPEED_CATEGORY_8</th>\n", | |
" <th>FUNCTIONAL_CLASS_2</th>\n", | |
" <th>FUNCTIONAL_CLASS_3</th>\n", | |
" <th>FUNCTIONAL_CLASS_4</th>\n", | |
" <th>FUNCTIONAL_CLASS_5</th>\n", | |
" <th>FRONTAGE_Y</th>\n", | |
" <th>PAVED_Y</th>\n", | |
" <th>PRIVATE_Y</th>\n", | |
" <th>RAMP_Y</th>\n", | |
" <th>POI_ACCESS_Y</th>\n", | |
" <th>CONTROLLED_ACCESS_Y</th>\n", | |
" <th>TOLLWAY_Y</th>\n", | |
" <th>DIVIDER_2</th>\n", | |
" <th>DIVIDER_A</th>\n", | |
" <th>DIVIDER_L</th>\n", | |
" <th>DIVIDER_N</th>\n", | |
" <th>LOW_MOBILITY_2</th>\n", | |
" <th>LOW_MOBILITY_3</th>\n", | |
" <th>PUBLIC_ACCESS_Y</th>\n", | |
" <th>LIMITED_ACCESS_ROAD_Y</th>\n", | |
" <th>class</th>\n", | |
" <th>img_path</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>0.0</td>\n", | |
" <td>-3.41169e-18</td>\n", | |
" <td>0.35108</td>\n", | |
" <td>-0.61538</td>\n", | |
" <td>0.0</td>\n", | |
" <td>2.45897e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/12...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>0.0</td>\n", | |
" <td>-1.04835e-19</td>\n", | |
" <td>0.31297</td>\n", | |
" <td>-0.61538</td>\n", | |
" <td>0.0</td>\n", | |
" <td>-2.57041e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/10...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>0.0</td>\n", | |
" <td>-2.73268e-18</td>\n", | |
" <td>0.04844</td>\n", | |
" <td>-0.15385</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.91947e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>2.32145</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/11...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>-1.0</td>\n", | |
" <td>-1.64718e-18</td>\n", | |
" <td>-0.75464</td>\n", | |
" <td>-0.92308</td>\n", | |
" <td>0.0</td>\n", | |
" <td>-1.58837e-20</td>\n", | |
" <td>-1.0</td>\n", | |
" <td>-1.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>/data/data0/home/jtriz/riskmap-data/osm-256/12...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>2.0</td>\n", | |
" <td>1.39659e-18</td>\n", | |
" <td>1.79651</td>\n", | |
" <td>1.61538</td>\n", | |
" <td>1.0</td>\n", | |
" <td>-1.23286e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.99999</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
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" <td>1.0</td>\n", | |
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" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
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" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/12...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>5</th>\n", | |
" <td>1.0</td>\n", | |
" <td>-8.61626e-19</td>\n", | |
" <td>1.06545</td>\n", | |
" <td>0.30769</td>\n", | |
" <td>1.0</td>\n", | |
" <td>-3.12425e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/12...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>6</th>\n", | |
" <td>0.0</td>\n", | |
" <td>2.40183e-19</td>\n", | |
" <td>-0.32800</td>\n", | |
" <td>2.15385</td>\n", | |
" <td>0.0</td>\n", | |
" <td>-1.61630e-19</td>\n", | |
" <td>-1.0</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/28...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>7</th>\n", | |
" <td>1.0</td>\n", | |
" <td>2.06042e-18</td>\n", | |
" <td>0.51867</td>\n", | |
" <td>1.76923</td>\n", | |
" <td>1.0</td>\n", | |
" <td>-2.36088e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/10...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>8</th>\n", | |
" <td>1.0</td>\n", | |
" <td>-2.35302e-18</td>\n", | |
" <td>1.19792</td>\n", | |
" <td>0.15385</td>\n", | |
" <td>1.0</td>\n", | |
" <td>-5.01056e-19</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/10...</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>9</th>\n", | |
" <td>1.0</td>\n", | |
" <td>1.68146e-18</td>\n", | |
" <td>0.56429</td>\n", | |
" <td>2.30769</td>\n", | |
" <td>1.0</td>\n", | |
" <td>4.95455e-20</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.00000</td>\n", | |
" <td>0.00000</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>1.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>0.0</td>\n", | |
" <td>/data/data0/home/jtriz/riskmap-data/osm-256/28...</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" degree_centrality evec_centrality katz_centrality pagerank_centrality \\\n", | |
"0 0.0 -3.41169e-18 0.35108 -0.61538 \n", | |
"1 0.0 -1.04835e-19 0.31297 -0.61538 \n", | |
"2 0.0 -2.73268e-18 0.04844 -0.15385 \n", | |
"3 -1.0 -1.64718e-18 -0.75464 -0.92308 \n", | |
"4 2.0 1.39659e-18 1.79651 1.61538 \n", | |
"5 1.0 -8.61626e-19 1.06545 0.30769 \n", | |
"6 0.0 2.40183e-19 -0.32800 2.15385 \n", | |
"7 1.0 2.06042e-18 0.51867 1.76923 \n", | |
"8 1.0 -2.35302e-18 1.19792 0.15385 \n", | |
"9 1.0 1.68146e-18 0.56429 2.30769 \n", | |
"\n", | |
" clust_coeff hits_auths core_number log_degree_centrality sinuosity \\\n", | |
"0 0.0 2.45897e-19 0.0 0.00000 0.00000 \n", | |
"1 0.0 -2.57041e-19 0.0 0.00000 0.00000 \n", | |
"2 0.0 1.91947e-19 0.0 0.00000 2.32145 \n", | |
"3 0.0 -1.58837e-20 -1.0 -1.00000 0.00000 \n", | |
"4 1.0 -1.23286e-19 0.0 1.99999 0.00000 \n", | |
"5 1.0 -3.12425e-19 0.0 1.00000 0.00000 \n", | |
"6 0.0 -1.61630e-19 -1.0 0.00000 0.00000 \n", | |
"7 1.0 -2.36088e-19 0.0 1.00000 0.00000 \n", | |
"8 1.0 -5.01056e-19 0.0 1.00000 0.00000 \n", | |
"9 1.0 4.95455e-20 0.0 1.00000 0.00000 \n", | |
"\n", | |
" LANE_CATEGORY_2 LANE_CATEGORY_3 SPEED_CATEGORY_3 SPEED_CATEGORY_4 \\\n", | |
"0 0.0 0.0 0.0 0.0 \n", | |
"1 0.0 0.0 0.0 0.0 \n", | |
"2 0.0 0.0 0.0 0.0 \n", | |
"3 0.0 0.0 0.0 0.0 \n", | |
"4 0.0 0.0 0.0 0.0 \n", | |
"5 0.0 0.0 0.0 0.0 \n", | |
"6 0.0 0.0 0.0 0.0 \n", | |
"7 0.0 0.0 0.0 1.0 \n", | |
"8 0.0 0.0 0.0 0.0 \n", | |
"9 0.0 0.0 0.0 0.0 \n", | |
"\n", | |
" SPEED_CATEGORY_5 SPEED_CATEGORY_6 SPEED_CATEGORY_7 SPEED_CATEGORY_8 \\\n", | |
"0 0.0 0.0 0.0 1.0 \n", | |
"1 0.0 0.0 0.0 1.0 \n", | |
"2 0.0 1.0 0.0 0.0 \n", | |
"3 0.0 0.0 0.0 1.0 \n", | |
"4 0.0 0.0 0.0 1.0 \n", | |
"5 0.0 0.0 0.0 1.0 \n", | |
"6 1.0 0.0 0.0 0.0 \n", | |
"7 0.0 0.0 0.0 0.0 \n", | |
"8 0.0 0.0 0.0 1.0 \n", | |
"9 0.0 0.0 1.0 0.0 \n", | |
"\n", | |
" FUNCTIONAL_CLASS_2 FUNCTIONAL_CLASS_3 FUNCTIONAL_CLASS_4 \\\n", | |
"0 0.0 0.0 0.0 \n", | |
"1 0.0 0.0 0.0 \n", | |
"2 0.0 0.0 0.0 \n", | |
"3 0.0 0.0 0.0 \n", | |
"4 0.0 0.0 0.0 \n", | |
"5 0.0 0.0 0.0 \n", | |
"6 0.0 0.0 0.0 \n", | |
"7 0.0 0.0 1.0 \n", | |
"8 0.0 0.0 0.0 \n", | |
"9 0.0 0.0 0.0 \n", | |
"\n", | |
" FUNCTIONAL_CLASS_5 FRONTAGE_Y PAVED_Y PRIVATE_Y RAMP_Y POI_ACCESS_Y \\\n", | |
"0 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"1 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"2 1.0 0.0 1.0 0.0 0.0 0.0 \n", | |
"3 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"4 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"5 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"6 1.0 0.0 1.0 0.0 0.0 0.0 \n", | |
"7 0.0 0.0 1.0 0.0 0.0 0.0 \n", | |
"8 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"9 1.0 0.0 1.0 1.0 0.0 0.0 \n", | |
"\n", | |
" CONTROLLED_ACCESS_Y TOLLWAY_Y DIVIDER_2 DIVIDER_A DIVIDER_L DIVIDER_N \\\n", | |
"0 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"1 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"2 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"3 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"4 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"5 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"6 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"7 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"8 0.0 0.0 0.0 0.0 0.0 1.0 \n", | |
"9 0.0 0.0 0.0 0.0 1.0 0.0 \n", | |
"\n", | |
" LOW_MOBILITY_2 LOW_MOBILITY_3 PUBLIC_ACCESS_Y LIMITED_ACCESS_ROAD_Y \\\n", | |
"0 0.0 0.0 1.0 0.0 \n", | |
"1 0.0 0.0 1.0 0.0 \n", | |
"2 1.0 0.0 1.0 0.0 \n", | |
"3 0.0 0.0 1.0 0.0 \n", | |
"4 0.0 0.0 1.0 0.0 \n", | |
"5 0.0 0.0 1.0 0.0 \n", | |
"6 1.0 0.0 1.0 0.0 \n", | |
"7 1.0 0.0 1.0 0.0 \n", | |
"8 0.0 0.0 1.0 0.0 \n", | |
"9 0.0 0.0 1.0 0.0 \n", | |
"\n", | |
" class img_path \n", | |
"0 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/12... \n", | |
"1 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/10... \n", | |
"2 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/11... \n", | |
"3 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/12... \n", | |
"4 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/12... \n", | |
"5 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/12... \n", | |
"6 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/28... \n", | |
"7 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/10... \n", | |
"8 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/10... \n", | |
"9 0.0 /data/data0/home/jtriz/riskmap-data/osm-256/28... " | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"\n", | |
"data_base_dir = Path(f\"{os.environ['HOME']}/riskmap-data\")\n", | |
"local_train_path = data_base_dir.joinpath(\"charlotte-train.csv\")\n", | |
"local_valid_path = data_base_dir.joinpath(\"charlotte-valid.csv\")\n", | |
"local_images_dir = data_base_dir.joinpath(link_images)\n", | |
"\n", | |
"\n", | |
"model_features = [\n", | |
" 'degree_centrality', 'evec_centrality', 'katz_centrality', 'pagerank_centrality',\n", | |
" 'clust_coeff', 'hits_auths', 'core_number', 'log_degree_centrality', 'sinuosity', \n", | |
" 'LANE_CATEGORY_2', 'LANE_CATEGORY_3', 'SPEED_CATEGORY_3', 'SPEED_CATEGORY_4',\n", | |
" 'SPEED_CATEGORY_5', 'SPEED_CATEGORY_6', 'SPEED_CATEGORY_7', 'SPEED_CATEGORY_8', \n", | |
" 'FUNCTIONAL_CLASS_2', 'FUNCTIONAL_CLASS_3', 'FUNCTIONAL_CLASS_4', 'FUNCTIONAL_CLASS_5', \n", | |
" 'FRONTAGE_Y', 'PAVED_Y', 'PRIVATE_Y', 'RAMP_Y', 'POI_ACCESS_Y', 'CONTROLLED_ACCESS_Y',\n", | |
" 'TOLLWAY_Y', 'DIVIDER_2', 'DIVIDER_A', 'DIVIDER_L', 'DIVIDER_N', 'LOW_MOBILITY_2', \n", | |
" 'LOW_MOBILITY_3', 'PUBLIC_ACCESS_Y', 'LIMITED_ACCESS_ROAD_Y',\n", | |
" ]\n", | |
"\n", | |
"dftrain = pd.read_csv(local_train_path)\n", | |
"dfvalid = pd.read_csv(local_valid_path)\n", | |
"\n", | |
"dftrain[\"target\"] = dftrain[target] / dftrain[\"count-0\"]\n", | |
"dfvalid[\"target\"] = dfvalid[target] / dfvalid[\"count-0\"]\n", | |
"\n", | |
"dftrain = dftrain.sort_values(\"target\", ascending=True)\n", | |
"dftrain[\"cdf\"] = np.arange(dftrain.shape[0]) / (dftrain.shape[0] - 1)\n", | |
"dftrain[\"class\"] = dftrain[\"cdf\"].map(lambda v: 0.0 if v <= clf_thresh else 1.0)\n", | |
"\n", | |
"dfvalid = dfvalid.sort_values(\"target\", ascending=True)\n", | |
"dfvalid[\"cdf\"] = np.arange(dfvalid.shape[0]) / (dfvalid.shape[0] - 1)\n", | |
"dfvalid[\"class\"] = dfvalid[\"cdf\"].map(lambda v: 0.0 if v <= clf_thresh else 1.0)\n", | |
"\n", | |
"dftrain[\"img_path\"] = dftrain[\"linkId\"].map(lambda v: local_images_dir.joinpath(f\"{v}.png\"))\n", | |
"dfvalid[\"img_path\"] = dfvalid[\"linkId\"].map(lambda v: local_images_dir.joinpath(f\"{v}.png\"))\n", | |
"\n", | |
"dftrain = dftrain[model_features + [\"class\", \"img_path\"]].reset_index(drop=True)\n", | |
"dfvalid = dfvalid[model_features + [\"class\", \"img_path\"]].reset_index(drop=True)\n", | |
"\n", | |
"# Create test set from dfvalid.\n", | |
"n_samples = int(dfvalid.shape[0] * .15)\n", | |
"test_indices = rng.choice(np.arange(dfvalid.shape[0]), size=n_samples)\n", | |
"dftest = dfvalid[dfvalid.index.isin(test_indices)].reset_index(drop=True)\n", | |
"dfvalid = dfvalid[~dfvalid.index.isin(test_indices)].reset_index(drop=True)\n", | |
"\n", | |
"print(f\"\\ndftrain.shape: {dftrain.shape[0]:,}\")\n", | |
"print(f\"dfvalid.shape: {dfvalid.shape[0]:,}\")\n", | |
"print(f\"dftest.shape : {dftest.shape[0]:,}\\n\")\n", | |
"print(dftrain[\"class\"].value_counts())\n", | |
"\n", | |
"dftrain.head(10)\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Initialize DataLoaders." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"device: cuda:0.\n" | |
] | |
} | |
], | |
"source": [ | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"batch_size = 128\n", | |
"shuffle = True\n", | |
"center_crop = 256\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"from utils import RiskMapDataset\n", | |
"\n", | |
"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", | |
"\n", | |
"# ds_train returns a dict with keys image, preds, label. \n", | |
"ds_train = RiskMapDataset(dftrain, center_crop=center_crop)\n", | |
"train_loader = DataLoader(ds_train, batch_size=batch_size, shuffle=shuffle)\n", | |
"\n", | |
"ds_valid = RiskMapDataset(dfvalid, center_crop=center_crop)\n", | |
"valid_loader = DataLoader(ds_valid, batch_size=batch_size, shuffle=shuffle)\n", | |
"\n", | |
"ds_test = RiskMapDataset(dftest, center_crop=center_crop)\n", | |
"test_loader = DataLoader(ds_test, batch_size=batch_size, shuffle=shuffle)\n", | |
"\n", | |
"print(f\"device: {device}.\")\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Visualize first batch of training images." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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", | |
"text/plain": [ | |
"<Figure size 800x800 with 1 Axes>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"\n", | |
"d = next(iter(train_loader))\n", | |
"preds, maps = d[\"preds\"], d[\"image\"]\n", | |
"num_features = preds.shape[1]\n", | |
"\n", | |
"fig, ax = plt.subplots(1, 1, figsize=(8, 8), tight_layout=True)\n", | |
"ax.axis(\"off\")\n", | |
"ax.set_title(\"Training Images\", fontsize=10)\n", | |
"ax.imshow(np.transpose(torchvision.utils.make_grid(maps[:64], padding=6, normalize=True), (1, 2, 0)))\n", | |
"plt.show()\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"#### Combining pre-trained image classifier activations with tabular network activations.\n", | |
"\n", | |
"- The `MultiModalNetwork` class defines the architecture of the combined model. \n", | |
"- It consists of two separate branches: one for processing image data and one for processing tabular data.\n", | |
"- The image branch uses a pre-trained ResNet model (resnet50, resnet101, etc).\n", | |
"- The `TabularNetwork` consists of a number of fully-connected layers. \n", | |
"- The outputs from both branches are concatenated and passed through an additional fully-connected layer for merging and making final predictions.\n", | |
"- You'll need to adapt the input dimensions and layer sizes according to your specific image and tabular data dimensions. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 55, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Total number of parameters: 23,657,377\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"MultiModalNetwork(\n", | |
" (img_model): PreTrainedNetwork(\n", | |
" (model): ResNet(\n", | |
" (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n", | |
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n", | |
" (layer1): Sequential(\n", | |
" (0): Bottleneck(\n", | |
" (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" (downsample): Sequential(\n", | |
" (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" )\n", | |
" )\n", | |
" (1): Bottleneck(\n", | |
" (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (2): Bottleneck(\n", | |
" (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" )\n", | |
" (layer2): Sequential(\n", | |
" (0): Bottleneck(\n", | |
" (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" (downsample): Sequential(\n", | |
" (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", | |
" (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" )\n", | |
" )\n", | |
" (1): Bottleneck(\n", | |
" (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (2): Bottleneck(\n", | |
" (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (3): Bottleneck(\n", | |
" (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" )\n", | |
" (layer3): Sequential(\n", | |
" (0): Bottleneck(\n", | |
" (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" (downsample): Sequential(\n", | |
" (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", | |
" (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" )\n", | |
" )\n", | |
" (1): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (2): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (3): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (4): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (5): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" )\n", | |
" (layer4): Sequential(\n", | |
" (0): Bottleneck(\n", | |
" (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" (downsample): Sequential(\n", | |
" (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", | |
" (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" )\n", | |
" )\n", | |
" (1): Bottleneck(\n", | |
" (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" (2): Bottleneck(\n", | |
" (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", | |
" (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n", | |
" (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n", | |
" (relu): ReLU(inplace=True)\n", | |
" )\n", | |
" )\n", | |
" (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n", | |
" (fc): Sequential(\n", | |
" (0): Linear(in_features=2048, out_features=64, bias=True)\n", | |
" (1): Dropout(p=0.3, inplace=False)\n", | |
" (2): ReLU()\n", | |
" )\n", | |
" )\n", | |
" )\n", | |
" (tab_model): TabularNetwork(\n", | |
" (model): Sequential(\n", | |
" (0): Linear(in_features=36, out_features=128, bias=True)\n", | |
" (1): ReLU()\n", | |
" (2): Dropout(p=0.3, inplace=False)\n", | |
" (3): Linear(in_features=128, out_features=64, bias=True)\n", | |
" (4): ReLU()\n", | |
" (5): Dropout(p=0.3, inplace=False)\n", | |
" (6): Linear(in_features=64, out_features=32, bias=True)\n", | |
" )\n", | |
" )\n", | |
" (sigmoid): Sigmoid()\n", | |
" (model): Sequential(\n", | |
" (0): Linear(in_features=96, out_features=32, bias=True)\n", | |
" (1): ReLU()\n", | |
" (2): Dropout(p=0.3, inplace=False)\n", | |
" (3): Linear(in_features=32, out_features=1, bias=True)\n", | |
" )\n", | |
")" | |
] | |
}, | |
"execution_count": 55, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"\"\"\"\n", | |
"Load pretrained model and use downloaded pretrained weights. Since these models \n", | |
"cannot be downloaded from EC2, copies of existing architectures have been saved here:\n", | |
"\n", | |
" - s3://arity-sdl-tm-int-us-east-1-prod-geo/pytorch-pretrained/\n", | |
"\"\"\"\n", | |
"from models import MultiModalNetwork, PreTrainedNetwork, TabularNetwork\n", | |
"from torchinfo import summary\n", | |
"\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"lr = .001\n", | |
"momentum = 0.9\n", | |
"dropout = .30\n", | |
"nc = 3\n", | |
"ngpu = 1\n", | |
"\n", | |
"# Dimension of last linear layer of models.PreTrainedNetwork.\n", | |
"# img_act_dim = 64\n", | |
"\n", | |
"# Dimension of last linear layer of models.TabularNetwork.\n", | |
"# tab_act_dim = 32\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"# Load pretrained weights into model. \n", | |
"pt_weights_path = f\"{os.environ['HOME']}/{pretrained_model}.pth\"\n", | |
"pt_model = dpretrained[pretrained_model]()\n", | |
"pt_weights = torch.load(pt_weights_path)\n", | |
"pt_model.load_state_dict(pt_weights)\n", | |
"\n", | |
"# Initialize tabular and image models. Pass into MultiModalNetwork.\n", | |
"tab_model = TabularNetwork(num_features, dropout=dropout).to(device)\n", | |
"img_model = PreTrainedNetwork(pt_model, dropout=dropout).to(device)\n", | |
"model = MultiModalNetwork(img_model, tab_model, dropout=dropout).to(device)\n", | |
"criterion = nn.BCELoss()\n", | |
"optim = torch.optim.SGD(model.parameters(), lr=lr, momentum=momentum)\n", | |
"# optim = torch.optim.Adam(model.parameters(), lr=0.0002, betas=(.50, 0.999))\n", | |
"\n", | |
"# Distribute model across multiple gpus (if available).\n", | |
"if (device.type == \"cuda\") and (ngpu > 1):\n", | |
"\tmodel = nn.DataParallel(model, list(range(ngpu)))\n", | |
"\n", | |
"# summary(model, input_size=(batch_size, nc, center_crop, center_crop), device=device.type)\n", | |
"nbr_params = sum(p.numel() for p in model.parameters())\n", | |
"print(f\"Total number of parameters: {nbr_params:,}\")\n", | |
"\n", | |
"model\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Vision-Only Network" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"\n", | |
"\"\"\"\n", | |
"Load pretrained model and use downloaded pretrained weights. Since these models \n", | |
"cannot be downloaded from EC2, copies of existing architectures have been saved here:\n", | |
"\n", | |
" - s3://arity-sdl-tm-int-us-east-1-prod-geo/pytorch-pretrained/\n", | |
"\"\"\"\n", | |
"from models import PreTrainedImageClassifier\n", | |
"from torchinfo import summary\n", | |
"\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"lr = .001\n", | |
"momentum = 0.9\n", | |
"dropout = .20\n", | |
"nc = 3\n", | |
"ngpu = 1\n", | |
"n_out_classes = 2\n", | |
"\n", | |
"# Dimension of last linear layer of models.PreTrainedNetwork.\n", | |
"img_act_dim = 64\n", | |
"\n", | |
"# Dimension of last linear layer of models.TabularNetwork.\n", | |
"tab_act_dim = 32\n", | |
"\n", | |
"# ------------------------------------------------------------------------------\n", | |
"\n", | |
"# Load pretrained weights into model. \n", | |
"pt_weights_path = f\"{os.environ['HOME']}/{pretrained_model}.pth\"\n", | |
"pt_model = dpretrained[pretrained_model]()\n", | |
"pt_weights = torch.load(pt_weights_path)\n", | |
"pt_model.load_state_dict(pt_weights)\n", | |
"\n", | |
"# Initialize tabular and image models. Pass into MultiModalNetwork.\n", | |
"model = PreTrainedImageClassifier(pt_model, dropout=dropout).to(device)\n", | |
"criterion = nn.BCELoss()\n", | |
"optim = torch.optim.SGD(model.parameters(), lr=lr, momentum=momentum)\n", | |
"# optim = torch.optim.Adam(model.parameters(), lr=0.0002, betas=(.50, 0.999))\n", | |
"\n", | |
"# Distribute model across multiple gpus (if available).\n", | |
"if (device.type == \"cuda\") and (ngpu > 1):\n", | |
"\tmodel = nn.DataParallel(model, list(range(ngpu)))\n", | |
"\n", | |
"# summary(model, input_size=(batch_size, nc, center_crop, center_crop), device=device.type)\n", | |
"nbr_params = sum(p.numel() for p in model.parameters())\n", | |
"print(f\"Total number of parameters: {nbr_params:,}\")\n", | |
"\n", | |
"# model\n" | |
] | |
}, | |
{ | |
"attachments": {}, | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"**Training loop:**\n", | |
"\n", | |
"- Load a batch of training data from the DataLoader.\n", | |
"- Zero out the optimizer’s gradients.\n", | |
"- Get predictions from the model for current batch.\n", | |
"- Calculate loss for current batch predictions vs. labels.\n", | |
"- Calculate backward gradients over the weights. \n", | |
"- For each epoch, perform validation by checking the loss on a set of data that was not used for training.\n", | |
"- Save a copy of the model (optional)." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 56, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"\t+ [train][epoch=1, batch=0] loss = 0.00743, acc = 0.11719.\n" | |
] | |
} | |
], | |
"source": [ | |
"\n", | |
"# Verify model is on gpu.\n", | |
"# assert next(model.parameters()).is_cuda, \"Send model to gpu.\"\n", | |
"from utils import epoch_trainer, epoch_validator\n", | |
"\n", | |
"# Specify number of epochs.\n", | |
"# run_desc = f\"cv-softmax-{pretrained_model}-{img_act_dim}\"\n", | |
"run_desc = f\"multimodal-{pretrained_model}-{link_images}\"\n", | |
"epochs = 50\n", | |
"classifier_threshold = .50\n", | |
"mm = True\n", | |
"\n", | |
"\n", | |
"# Create directory for tensorboard logs. \n", | |
"yyyymmdd = datetime.now().strftime(\"%Y-%m-%d\")\n", | |
"log_dir = f\"{os.environ['HOME']}/riskmap-data/training/logs/{run_desc}-{yyyymmdd}-{classifier_threshold}\"\n", | |
"if os.path.exists(log_dir):\n", | |
" shutil.rmtree(log_dir)\n", | |
"os.makedirs(log_dir)\n", | |
"\n", | |
"\n", | |
"# Create directory for model weights.\n", | |
"models_dir = Path(f\"{os.environ['HOME']}/riskmap-data/training/models\")\n", | |
"if not models_dir.exists():\n", | |
" os.makedirs(models_dir)\n", | |
"\n", | |
"# Initialize tensorboard writer. \n", | |
"writer = SummaryWriter(log_dir=log_dir, comment=run_desc)\n", | |
"\n", | |
"# Add network architecture to Tensorboard.\n", | |
"if mm:\n", | |
" writer.add_graph(model, input_to_model=[maps.to(device), preds.to(device)], verbose=False)\n", | |
"else:\n", | |
" writer.add_graph(model, input_to_model=maps.to(device), verbose=False)\n", | |
"\n", | |
"best_valid_loss = 1e15\n", | |
"\n", | |
"for epoch in range(1, epochs + 1):\n", | |
"\n", | |
" model.train()\n", | |
"\n", | |
" train_loss, train_acc = epoch_trainer(\n", | |
" epoch, device, model, train_loader, criterion, optim, \n", | |
" classifier_threshold, writer, mm=mm\n", | |
" )\n", | |
"\n", | |
" model.eval()\n", | |
"\n", | |
" valid_loss, valid_acc = epoch_validator(\n", | |
" epoch, device, model, valid_loader, criterion, optim, \n", | |
" classifier_threshold, mm=mm\n", | |
" )\n", | |
"\n", | |
" # Write epoch-level metrics to tensorboard.\n", | |
" if writer is not None:\n", | |
" writer.add_scalar(\"Loss/train\", train_loss, epoch)\n", | |
" writer.add_scalar(\"Accuracy/train\", train_acc, epoch)\n", | |
" writer.add_scalar(\"Loss/test\", valid_loss, epoch)\n", | |
" writer.add_scalar(\"Accuracy/test\", valid_acc, epoch)\n", | |
" writer.flush()\n", | |
"\n", | |
" # Save model if best validation loss achieved so far. \n", | |
" # NOTE: Saving full model instead of state dict. Issue loading state dict\n", | |
" # for multimodal network. \n", | |
" if valid_loss < best_valid_loss:\n", | |
" model_path = models_dir.joinpath(f\"{run_desc}-epoch-{epoch}-{yyyymmdd}-{classifier_threshold}.pth\")\n", | |
" # torch.save(model.state_dict(), model_path)\n", | |
" torch.save(model, model_path)\n", | |
" best_valid_loss = valid_loss\n", | |
"\n", | |
" tstmp = datetime.now().strftime(\"%c\")\n", | |
" print(f\"[{tstmp}] epoch={epoch}: tloss={train_loss:,.5f}, tacc={train_acc:.5f}, vloss={valid_loss:,.5f}, vacc={valid_acc:.5f}.\")\n", | |
"\n" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "torch", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.11.6" | |
}, | |
"orig_nbformat": 4, | |
"vscode": { | |
"interpreter": { | |
"hash": "3220fa3af0552d0548d8ba089b0c12a70a21bfbacbd2bacd5a40b3c64344bb20" | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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