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{
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"metadata": {
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"cells": [
{
"cell_type": "markdown",
"source": [
"## C02 - Use GeoCLIP embeddings\n",
"\n",
"Simple example of how to obtain pretrained GeoCLIP embeddings. Read the paper here:[https://arxiv.org/abs/2309.16020](https://arxiv.org/abs/2309.16020). First install the geoclip package (see [https://github.com/VicenteVivan/geo-clip](https://github.com/VicenteVivan/geo-clip))"
],
"metadata": {
"id": "ngz8zz9Gvbxh"
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{
"cell_type": "code",
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tD7wze7andRh",
"outputId": "c49cc55d-9eab-452d-cfd1-50975664678f"
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"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting geoclip\n",
" Downloading geoclip-1.1.0-py3-none-any.whl (40.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m40.3/40.3 MB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (from geoclip) (2.1.0+cu121)\n",
"Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from geoclip) (0.16.0+cu121)\n",
"Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from geoclip) (9.4.0)\n",
"Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (from geoclip) (4.35.2)\n",
"Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from geoclip) (1.5.3)\n",
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"Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->geoclip) (2.8.2)\n",
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"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision->geoclip) (2.31.0)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (0.20.2)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (23.2)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (2023.6.3)\n",
"Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (0.15.0)\n",
"Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (0.4.1)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers->geoclip) (4.66.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->geoclip) (1.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->geoclip) (2.1.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->geoclip) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->geoclip) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->geoclip) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision->geoclip) (2023.11.17)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->geoclip) (1.3.0)\n",
"Installing collected packages: geoclip\n",
"Successfully installed geoclip-1.1.0\n"
]
}
],
"source": [
"!pip install geoclip"
]
},
{
"cell_type": "markdown",
"source": [
"Load the pretrained model directly."
],
"metadata": {
"id": "nPc2yi39yRje"
}
},
{
"cell_type": "code",
"source": [
"from geoclip import LocationEncoder\n",
"import torch\n",
"import torch.nn as nn\n",
"model = LocationEncoder()"
],
"metadata": {
"id": "Q72Ypu0Cr3Sc"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"Obtain GeoCLIP location embeddings."
],
"metadata": {
"id": "Y8XaPTs6yUu9"
}
},
{
"cell_type": "code",
"source": [
"c = torch.randn(32, 2) # Represents a batch of 32 locations (lon/lat)\n",
"\n",
"model.eval()\n",
"with torch.no_grad():\n",
" emb = model(c.flip(1).float()).detach().cpu()"
],
"metadata": {
"id": "eWV6S2SmsX_O"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": [
"emb.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3rib-U9ztCCg",
"outputId": "67cd8c6e-d53d-4317-b5aa-9076df069e96"
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.Size([32, 512])"
]
},
"metadata": {},
"execution_count": 8
}
]
}
]
} |