tests/notebooks/dataset_inference.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6a605019-2110-4e0e-b53d-37a1df38cdc2",
   "metadata": {},
   "source": [
    "# **User guide: using lynx-id**\n",
    "\n",
    "The purpose of this notebook is to show how to use lynx_id."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "31e27261-4158-4c4b-b26c-f022b84c3214",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Updated on 2025-01-03.\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "print(f\"Updated on {datetime.datetime.now().date()}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e200e173-9bed-4a5f-974a-87957057fbec",
   "metadata": {
    "tags": []
   },
   "source": [
    "**Before starting this guide, make sure you have installed lynx_id**.\n",
    "\n",
    "*The next cell automatically reloads the libraries if they are updated. This is only useful for debugging purposes.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eadda6d9-034e-4142-9ebd-e935aa3d6a41",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Allow reloading of libraries without restarting the kernel\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "253aa804-04f2-4da9-bb1e-3a268e6e94a2",
   "metadata": {
    "tags": []
   },
   "source": [
    "First, a few imports needed for the demo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6fa305f8-9920-43aa-b18c-dee45a87732c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import torch\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from safetensors import safe_open\n",
    "from safetensors.torch import save_file\n",
    "from pathlib import Path\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03939bcd-d361-4326-b4e0-3c92113509e5",
   "metadata": {},
   "source": [
    "## **Resources**\n",
    "\n",
    "What resources do we have? GPU (cuda) or CPU?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6b3b6338-85bb-4e99-b5ad-5e1081cbea62",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DEVICE='cuda'\n"
     ]
    }
   ],
   "source": [
    "DEVICE = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "print(f\"{DEVICE=}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f2b6d59-7845-4e0c-aeec-219bfcadd322",
   "metadata": {},
   "source": [
    "Initialize a path to the demo resources."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "71a60cca-efd4-4c9a-ac8f-914c024524bb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "RESOURCES = Path(\"../../lynx_id/resources\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0170eef-fcec-4754-9abf-fdc922e67107",
   "metadata": {},
   "source": [
    "## **Knowledge base**\n",
    "\n",
    "To predict the individuals in our new images, we need to have a knowledge base.\n",
    "\n",
    "This requires **2 files**:\n",
    "- a file in **csv** format containing information about our individuals (`lynx_id`, `filepath`, `location`, `date`)\n",
    "- a file in **safetensors** format containing the embeddings of our individuals. This file is necessary for the algorithms behind it.\n",
    "\n",
    "For an index in the embedding matrix, the same index in the csv file provides the associated information.\n",
    "\n",
    "Let's see what it looks like. First, we open the information file in csv format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f755595-e243-4698-a2a9-354c2b899659",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8714, 4)\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>filepath</th>\n",
       "      <th>lynx_id</th>\n",
       "      <th>date</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/lustre/fsn1/projects/rech/ads/commun/datasets...</td>\n",
       "      <td>11_DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/lustre/fsn1/projects/rech/ads/commun/datasets...</td>\n",
       "      <td>11_DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/lustre/fsn1/projects/rech/ads/commun/datasets...</td>\n",
       "      <td>11_DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/lustre/fsn1/projects/rech/ads/commun/datasets...</td>\n",
       "      <td>11_DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/lustre/fsn1/projects/rech/ads/commun/datasets...</td>\n",
       "      <td>11_DE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            filepath lynx_id date location\n",
       "0  /lustre/fsn1/projects/rech/ads/commun/datasets...   11_DE  NaN      NaN\n",
       "1  /lustre/fsn1/projects/rech/ads/commun/datasets...   11_DE  NaN      NaN\n",
       "2  /lustre/fsn1/projects/rech/ads/commun/datasets...   11_DE  NaN      NaN\n",
       "3  /lustre/fsn1/projects/rech/ads/commun/datasets...   11_DE  NaN      NaN\n",
       "4  /lustre/fsn1/projects/rech/ads/commun/datasets...   11_DE  NaN      NaN"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knowledge_informations = pd.read_csv(RESOURCES/ \"knowledge_db/informations.csv\")\n",
    "print(knowledge_informations.shape)\n",
    "knowledge_informations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b3354516-0a00-45c6-a083-b6a514865fb5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([8714, 1536])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with safe_open(RESOURCES / \"knowledge_db/embeddings.safetensors\", framework=\"pt\", device=\"cpu\") as f:\n",
    "    knowledge_embeddings = f.get_tensor(\"embeddings\")\n",
    "knowledge_embeddings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "215a445b-c196-4a44-bef5-9f4e0e598bdf",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "assert knowledge_embeddings.shape[0] == knowledge_informations.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "610b7f0b-d606-457d-82d5-43bc7810228b",
   "metadata": {},
   "source": [
    "Our two files are the same size (same number of images). "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ac357d7-2756-4aa3-8c0b-c08ff21757d0",
   "metadata": {},
   "source": [
    "## **Individual prediction**\n",
    "\n",
    "### **Image display**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8287e97-3b3f-4ea5-9668-a006e0e5fe58",
   "metadata": {},
   "source": [
    "We're going to start with a folder containing 2 images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "88592987-411b-4a80-8ead-ab2b1a73eaa7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "folder_images = RESOURCES / \"data\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a092857c-f343-46d2-bca6-d3b1d782afbc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['B439_OCS_NA_2017-09-20_NA_4.JPG', '2327_OFB_OCELLES_2021-04-17_Saint-Gorgon-Main_2.jpg']\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "images = [f for f in os.listdir(folder_images) if os.path.isfile(RESOURCES / \"data\" / f)]\n",
    "print(images)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10, 5))\n",
    "\n",
    "img1 = Image.open(os.path.join(folder_images, images[0]))\n",
    "axes[0].imshow(img1)\n",
    "axes[0].axis('off')\n",
    "\n",
    "img2 = Image.open(os.path.join(folder_images, images[1]))\n",
    "axes[1].imshow(img2)\n",
    "axes[1].axis('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aeda7ee-ce94-47e6-9f3a-46498a7d8bee",
   "metadata": {},
   "source": [
    "### **Inference script**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "798c9b4b-83b1-483e-80a6-95ec26ec103d",
   "metadata": {},
   "source": [
    "We're going to give our images to our individual recognition model.\n",
    "\n",
    "To do this, a configuration file (`yaml`) must be initialized. It should contain the following parameters:\n",
    "- `model-architecture`: foundation model architecture (Megadescriptor or DINOv2)\n",
    "- `model-weights-path`: path to the embeddings model\n",
    "- `input-data`: path to the folder containing the images, or a `csv` file containing at least a `filepath` column indicating where the images are located\n",
    "- `output-informations-path`: output file (`csv`) containing information after prediction. Its content is presented later in the notebook.\n",
    "- `output-embeddings-path`: output files containing information after prediction. This file will allow us to update our embeddings database containing all our images.\n",
    "- `knowledge_informations_path`: This file (`csv`) contains information on all the images in our knowledge base. The information stored are:\n",
    "  - `filepath`: path to current image\n",
    "  - `lynx_id`: individual on the image\n",
    "  - `location`: place where the photo was taken\n",
    "  - `date`: date on which the photo was taken\n",
    "- `knowledge_embeddings_path`: This file (`safetensors`) contains embeddings on all the images in our knowledge base. These embeddings are used to detect the individual closest to the current image or to detect a new individual.\n",
    "- `threshold`: if the distance of the individual closest to our image is greater than `threshold` then we consider it to be a new individual.\n",
    "\n",
    "This file is initialized with resources located in `lynx_id/resources`. Only the model is not included. It must be retrieved in another way.\n",
    "\n",
    "**For a full description of the parameter set, use the following command:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b121df51-7081-411e-8324-2d8346d00771",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model directory set to: /lustre/fswork/projects/rech/fpb/commun/models\n",
      "usage: __main__.py [-h] --model-architecture {resnet,dinov2,megadescriptor}\n",
      "                   --model-weights-path MODEL_WEIGHTS_PATH\n",
      "                   [--image-size IMAGE_SIZE] --input-data INPUT_DATA\n",
      "                   --output-informations-path OUTPUT_INFORMATIONS_PATH\n",
      "                   --output-embeddings-path OUTPUT_EMBEDDINGS_PATH\n",
      "                   --knowledge-embeddings-path KNOWLEDGE_EMBEDDINGS_PATH\n",
      "                   --knowledge-informations-path KNOWLEDGE_INFORMATIONS_PATH\n",
      "                   [--threshold THRESHOLD] [--batch-size BATCH_SIZE]\n",
      "                   [--num-workers NUM_WORKERS]\n",
      "                   [--megadetector-model-path MEGADETECTOR_MODEL_PATH]\n",
      "                   [--sam-model-path SAM_MODEL_PATH] [--skip-megadetector-sam]\n",
      "\n",
      "Inference script.\n",
      "\n",
      "options:\n",
      "  -h, --help            show this help message and exit\n",
      "  --model-architecture {resnet,dinov2,megadescriptor}\n",
      "                        Model architecture of the foundation model.\n",
      "  --model-weights-path MODEL_WEIGHTS_PATH\n",
      "                        Path to trained model weights.\n",
      "  --image-size IMAGE_SIZE\n",
      "                        Image size\n",
      "  --input-data INPUT_DATA\n",
      "                        Path to folder containing images (at least one image)\n",
      "                        or .csv file (columns: filepath, optional columns:\n",
      "                        date, location).\n",
      "  --output-informations-path OUTPUT_INFORMATIONS_PATH\n",
      "                        Path to output .csv file.\n",
      "  --output-embeddings-path OUTPUT_EMBEDDINGS_PATH\n",
      "                        Path to which the embeddings of our new images will be\n",
      "                        saved\n",
      "  --knowledge-embeddings-path KNOWLEDGE_EMBEDDINGS_PATH\n",
      "                        Path to the file containing the knowledge base of all\n",
      "                        our known individuals in `safetensors` format\n",
      "                        (embeddings torch.tensor).\n",
      "  --knowledge-informations-path KNOWLEDGE_INFORMATIONS_PATH\n",
      "                        Path to a .csv file containing information about the\n",
      "                        lynx in our knowledge base.\n",
      "  --threshold THRESHOLD\n",
      "                        Distance threshold at which the lynx in the image is\n",
      "                        considered to be a new individual.\n",
      "  --batch-size BATCH_SIZE\n",
      "                        Number of images to load per batch. Choose a number 2\n",
      "                        to the nth power. A large number could saturate your\n",
      "                        memory and cause the inference to crash.\n",
      "  --num-workers NUM_WORKERS\n",
      "                        How many subprocesses to use for data loading. 0 means\n",
      "                        that the data will be loaded in the main process.\n",
      "                        (default: 0)\n",
      "  --megadetector-model-path MEGADETECTOR_MODEL_PATH\n",
      "                        Path to the megadetector model. By default, it\n",
      "                        automatically downloads MDV5A.\n",
      "  --sam-model-path SAM_MODEL_PATH\n",
      "                        Path to segment anything model. By default, it does\n",
      "                        not automatically download model weights! You have to\n",
      "                        download them yourself. 3 versions are available:\n",
      "                        vit_h, vit_l and vit_b (sorted in descending order of\n",
      "                        size).\n",
      "  --skip-megadetector-sam\n",
      "                        If enabled, avoids images passing through megadetector\n",
      "                        and SAM.\n"
     ]
    }
   ],
   "source": [
    "!python -m lynx_id infer --help"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "23a3dc9c-a902-42d5-a54a-bb7115f75ae9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting config_infer.yaml\n"
     ]
    }
   ],
   "source": [
    "%%writefile config_infer.yaml\n",
    "model-architecture: megadescriptor\n",
    "model-weights-path: /lustre/fswork/projects/rech/ads/commun/kg_tests/experiments/megad_noswiss_full/2024-12-17_22-20-21/model_best_0.019.pth\n",
    "image-size: 384\n",
    "input-data: ../../lynx_id/resources/data\n",
    "output-informations-path: ../../lynx_id/resources/results/result_informations.csv\n",
    "output-embeddings-path: ../../lynx_id/resources/results/result_embeddings.safetensors\n",
    "knowledge-informations-path: ../../lynx_id/resources/knowledge_db/informations.csv\n",
    "knowledge-embeddings-path: ../../lynx_id/resources/knowledge_db/embeddings.safetensors\n",
    "threshold: 0.05  # The value has been set to this specific value to detect a new individual.\n",
    "megadetector-model-path: /lustre/fswork/projects/rech/ads/commun/megadetector/md_v5a.0.0.pt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa8a3ba3-9142-42e8-ac7c-ad57a81730eb",
   "metadata": {},
   "source": [
    "We can then simply run our inference script."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1819e9ed-5a51-4abe-af00-7b369c5dbc38",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model directory set to: /lustre/fswork/projects/rech/fpb/commun/models\n",
      "\u001b[1m#################### This is the infer script. ####################\u001b[0m\n",
      "\u001b[1mDEVICE='cuda'\u001b[0m\n",
      "\u001b[1mPreprocessing images...\u001b[0m\n",
      "\u001b[1mMegadetector preprocessing\u001b[0m\n",
      "PyTorch reports 1 available CUDA devices\n",
      "GPU available: True\n",
      "Imported YOLOv5 as utils.*\n",
      "Using PyTorch version 2.1.1+cu121\n",
      "Fusing layers... \n",
      "Fusing layers... \n",
      "Model summary: 733 layers, 140054656 parameters, 0 gradients, 208.8 GFLOPs\n",
      "Model summary: 733 layers, 140054656 parameters, 0 gradients, 208.8 GFLOPs\n",
      "Sending model to GPU\n",
      "Loaded model in 3.96 seconds\n",
      "Loaded model in 3.96 seconds\n",
      "100%|█████████████████████████████████████████████| 2/2 [00:00<00:00,  4.51it/s]\n",
      "\u001b[1mSAM preprocessing\u001b[0m\n",
      "Preprocesing images: 100%|████████████████████████| 2/2 [00:01<00:00,  1.95it/s]\n",
      "\u001b[1mEnd preprocessing (total time: 9.3s)\u001b[0m\n",
      "/lustre/fswork/projects/rech/ads/uxp55sd/.local_lynx/lib/python3.11/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)\n",
      "  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]\n",
      "Loading pretrained weights from file (/lustre/fswork/projects/rech/ads/commun/models/MegaDescriptor-L-384/pytorch_model.bin)\n",
      "Loading pretrained weights from file (/lustre/fswork/projects/rech/ads/commun/models/MegaDescriptor-L-384/pytorch_model.bin)\n",
      "Loaded model from checkpoint '/lustre/fswork/projects/rech/ads/commun/models/MegaDescriptor-L-384/pytorch_model.bin'\n",
      "Loaded model from checkpoint '/lustre/fswork/projects/rech/ads/commun/models/MegaDescriptor-L-384/pytorch_model.bin'\n",
      "Compute embeddings: 100%|█████████████████████████| 2/2 [00:00<00:00, 38.85it/s]\n",
      "\u001b[1m#################### End of inference (total time: 12.4s). ####################\n",
      "Results written here: ../../lynx_id/resources/results/result_informations.csv & ../../lynx_id/resources/results/result_embeddings.safetensors\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!python -m lynx_id infer --config config_infer.yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4049a6-af7e-4d28-922c-21ee37ff338e",
   "metadata": {},
   "source": [
    "Let's look at the information result file generated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "46d26056-592e-41ce-b604-782c2b160e44",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "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>filepath</th>\n",
       "      <th>individual_predicted</th>\n",
       "      <th>is_new</th>\n",
       "      <th>latest_picture_individual_predicted</th>\n",
       "      <th>location_closest_individual</th>\n",
       "      <th>neighbor_1</th>\n",
       "      <th>neighbor_2</th>\n",
       "      <th>neighbor_3</th>\n",
       "      <th>neighbor_4</th>\n",
       "      <th>neighbor_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>False</td>\n",
       "      <td>2017-09-20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>243_FR</td>\n",
       "      <td>243_FR</td>\n",
       "      <td>1320_FR</td>\n",
       "      <td>1131_FR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>QbZDsbp0nd</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New</td>\n",
       "      <td>oslo_FR</td>\n",
       "      <td>1512_FR</td>\n",
       "      <td>f01-047=922_FR</td>\n",
       "      <td>f39-086=1474=1478_FR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            filepath individual_predicted  \\\n",
       "0  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...               439_FR   \n",
       "1  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...           QbZDsbp0nd   \n",
       "\n",
       "   is_new latest_picture_individual_predicted  location_closest_individual  \\\n",
       "0   False                          2017-09-20                          NaN   \n",
       "1    True                                 NaN                          NaN   \n",
       "\n",
       "  neighbor_1 neighbor_2 neighbor_3      neighbor_4            neighbor_5  \n",
       "0     439_FR     243_FR     243_FR         1320_FR               1131_FR  \n",
       "1        New    oslo_FR    1512_FR  f01-047=922_FR  f39-086=1474=1478_FR  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_csv = pd.read_csv(RESOURCES / \"results/result_informations.csv\")\n",
    "results_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e9aa7874-ceb1-4f00-8299-db4f5fa0370e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/lustre/fswork/projects/rech/ads/uxp55sd/DP-SCR_Identify-and-estimate-density-lynx-population/lynx_id/resources/data/no_bg/B439_OCS_NA_2017-09-20_NA_4.JPG'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_csv.filepath[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2a63e08-0d45-4efb-87cd-5e684f50460b",
   "metadata": {},
   "source": [
    "The file generated contains the following information:\n",
    "- `filepath`: path to the processed image.\n",
    "- `individual_predicted`: predicted individual. For new individuals detected, a random character string of 10 characters is generated.\n",
    "- `is_new`: indicates whether it is a new individual or not. We can imagine cases where the `individual_predicted` generated is similar to a human name.\n",
    "- `latest_picture_individual_predicted`: for the predicted individual (and not just the nearest image), the last date on which a photo was taken of him or her in our knowledge base.\n",
    "- `location_closest_individual`: where the photo of the nearest image was taken\n",
    "- `neighbor_[12345]`: the 5 closest individuals\n",
    "\n",
    "Once the result file has been created, the user can then modify the information that will be saved in the knowledge base (`filepath`, `individual_predicted`, `location`, `date`). They can also add a location and date to each image.\n",
    "To do the whole thing in a notebook, we modify the `csv` directly with `pandas` but a simple text editor could suffice to do the same.\n",
    "\n",
    "Here, we rename the individual in the index 1 image and add a location to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b75f652c-5a9f-48cd-9ddf-1aee8bad4fcb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "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>filepath</th>\n",
       "      <th>individual_predicted</th>\n",
       "      <th>is_new</th>\n",
       "      <th>latest_picture_individual_predicted</th>\n",
       "      <th>location_closest_individual</th>\n",
       "      <th>neighbor_1</th>\n",
       "      <th>neighbor_2</th>\n",
       "      <th>neighbor_3</th>\n",
       "      <th>neighbor_4</th>\n",
       "      <th>neighbor_5</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>False</td>\n",
       "      <td>2017-09-20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>243_FR</td>\n",
       "      <td>243_FR</td>\n",
       "      <td>1320_FR</td>\n",
       "      <td>1131_FR</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>Goat</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New</td>\n",
       "      <td>oslo_FR</td>\n",
       "      <td>1512_FR</td>\n",
       "      <td>f01-047=922_FR</td>\n",
       "      <td>f39-086=1474=1478_FR</td>\n",
       "      <td>Paris</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            filepath individual_predicted  \\\n",
       "0  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...               439_FR   \n",
       "1  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...                 Goat   \n",
       "\n",
       "   is_new latest_picture_individual_predicted  location_closest_individual  \\\n",
       "0   False                          2017-09-20                          NaN   \n",
       "1    True                                 NaN                          NaN   \n",
       "\n",
       "  neighbor_1 neighbor_2 neighbor_3      neighbor_4            neighbor_5  \\\n",
       "0     439_FR     243_FR     243_FR         1320_FR               1131_FR   \n",
       "1        New    oslo_FR    1512_FR  f01-047=922_FR  f39-086=1474=1478_FR   \n",
       "\n",
       "  location  \n",
       "0      NaN  \n",
       "1    Paris  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_csv.loc[1, 'individual_predicted'] = \"Goat\"\n",
    "results_csv.loc[1, 'location'] = \"Paris\"\n",
    "results_csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1052187b-e475-4dcf-a7ea-7645025d8e47",
   "metadata": {},
   "source": [
    "The updated file is saved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "088310f0-e7f8-4b69-a345-fa0a177e4161",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "results_csv.to_csv(RESOURCES / \"results/result_informations.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa3163bb-2ff7-4a7c-bf0f-edff2f588a8e",
   "metadata": {},
   "source": [
    "Following inference, an embedding file was also generated for our images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "94b9d8dc-0c2e-4ccb-aa7f-5d107de59e2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 1536])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with safe_open(RESOURCES / \"results/result_embeddings.safetensors\", framework=\"pt\", device=\"cpu\") as f:\n",
    "    results_embeddings = f.get_tensor(\"embeddings\")\n",
    "results_embeddings.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a874c305-2780-44b2-abc9-2c0813531cbf",
   "metadata": {},
   "source": [
    "We have a matrix of size `[2, {embedding_size}]`. We have 2 embeddings, one per image, and our embeddings have a specific size; a size that depends on the model used."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1427d146-0b33-4dd4-857f-068303739370",
   "metadata": {},
   "source": [
    "## **Update knowledge base**\n",
    "\n",
    "Now we have our results, and we've even modified them a little to include some additional information. We can now update our knowledge base using the `knowledge_base` script. As with the inference script, a configuration file is required. Here are the parameters to be entered:\n",
    "- `knowledge-informations-path`: as in the inference script. This file (`csv`) contains information on all the images in our knowledge base.\n",
    "- `knowledge-embeddings-path`: as in the inference script. This file (`safetensors`) contains embeddings on all the images in our knowledge base.\n",
    "- `updated-informations-path`: path to results containing information about images in the inference script (`csv` file)\n",
    "- `updated-embeddings-path`: path to results containing embeddings about images in the inference script (`csv` file)\n",
    "- `new-knowledge-informations-path`: path to the updated information knowledge base (`csv`). If not filled in, the file is written over the current base (`knowledge-informations-path`).\n",
    "- `new-knowledge-embeddings-path`: path to the updated information knowledge base (`safetensors`). If not filled in, the file is written over the current base (`knowledge-embeddings-path`).\n",
    "\n",
    "Let's initialize this file with our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "decbb9b8-f209-4f7a-a66c-8a2dcca0a37b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting config_knowledge_base.yaml\n"
     ]
    }
   ],
   "source": [
    "%%writefile config_knowledge_base.yaml\n",
    "knowledge-informations-path: ../../lynx_id/resources/knowledge_db/informations.csv\n",
    "knowledge-embeddings-path: ../../lynx_id/resources/knowledge_db/embeddings.safetensors\n",
    "updated-informations-path: ../../lynx_id/resources/results/result_informations.csv\n",
    "updated-embeddings-path: ../../lynx_id/resources/results/result_embeddings.safetensors\n",
    "new-knowledge-informations-path: ../../lynx_id/resources/knowledge_db/new_informations.csv\n",
    "new-knowledge-embeddings-path: ../../lynx_id/resources/knowledge_db/new_embeddings.safetensors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06e23e6a-0eae-456c-80ce-5dc56314e3bc",
   "metadata": {},
   "source": [
    "We simply run the `knowledge_base` script with this file passed as a parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f3ce0cc3-c701-4802-9820-5ab6ebdc937c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model directory set to: /lustre/fswork/projects/rech/fpb/commun/models\n",
      "This is the knowledge_base script.\n",
      "End of knowledge_base script.\n"
     ]
    }
   ],
   "source": [
    "!python -m lynx_id knowledge_base --config config_knowledge_base.yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "cdcf43ca-cf84-471c-85f6-e243c7a8c368",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8716, 4)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "updated_knowledge_informations = pd.read_csv(RESOURCES / \"knowledge_db/new_informations.csv\")\n",
    "updated_knowledge_informations.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20a4934e-98cd-49f0-a8fd-e5ff5981b83b",
   "metadata": {},
   "source": [
    "Two lines have been added to our knowledge base corresponding to our 2 previous images. Here are their contents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ce4e9425-6d11-43f0-9479-4cc37b406b81",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "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>filepath</th>\n",
       "      <th>lynx_id</th>\n",
       "      <th>date</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>Goat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8715</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               filepath lynx_id date location\n",
       "8714  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...    Goat  NaN    Paris\n",
       "8715  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...  439_FR  NaN      NaN"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "updated_knowledge_informations.tail(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1f62c6a-d7cb-4bfa-b0b4-074b9af9ff97",
   "metadata": {},
   "source": [
    "Another case involves modifying the information and embedding of an image. In this case, we don't want to add any lines to our knowledge base.\n",
    "\n",
    "Let's modify the line in our first image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ad25e42e-7c62-4609-bd2f-61553412ad67",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "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>filepath</th>\n",
       "      <th>individual_predicted</th>\n",
       "      <th>is_new</th>\n",
       "      <th>latest_picture_individual_predicted</th>\n",
       "      <th>location_closest_individual</th>\n",
       "      <th>neighbor_1</th>\n",
       "      <th>neighbor_2</th>\n",
       "      <th>neighbor_3</th>\n",
       "      <th>neighbor_4</th>\n",
       "      <th>neighbor_5</th>\n",
       "      <th>location</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>Goat</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New</td>\n",
       "      <td>oslo_FR</td>\n",
       "      <td>1512_FR</td>\n",
       "      <td>f01-047=922_FR</td>\n",
       "      <td>f39-086=1474=1478_FR</td>\n",
       "      <td>Annecy</td>\n",
       "      <td>2025-01-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            filepath individual_predicted  \\\n",
       "1  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...                 Goat   \n",
       "\n",
       "  is_new latest_picture_individual_predicted location_closest_individual  \\\n",
       "1   True                                 NaN                         NaN   \n",
       "\n",
       "  neighbor_1 neighbor_2 neighbor_3      neighbor_4            neighbor_5  \\\n",
       "1        New    oslo_FR    1512_FR  f01-047=922_FR  f39-086=1474=1478_FR   \n",
       "\n",
       "  location        date  \n",
       "1   Annecy  2025-01-03  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_results_csv = pd.DataFrame(results_csv.iloc[1]).T\n",
    "new_results_csv.loc[1, \"location\"] = \"Annecy\"\n",
    "new_results_csv.loc[1, \"date\"] = datetime.date.today()\n",
    "new_results_csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8596b54c-b590-42a1-bff8-40b3b1024b5c",
   "metadata": {},
   "source": [
    "The associated embedding is also modified. This can be useful if you want to use a different embedding model, for example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2fa92494-903c-4965-b2b1-3dae7f5ab330",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0., 0., 0.,  ..., 0., 0., 0.]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_results_embeddings = torch.zeros((1, 1536))\n",
    "new_results_embeddings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab3075a1-772a-4666-bccb-071a67148af5",
   "metadata": {},
   "source": [
    "Save changes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "49f49df7-ab57-444c-acd1-92564a051eb3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "new_results_csv.to_csv(RESOURCES / \"results/result_informations.csv\", index=False)\n",
    "save_file({\"embeddings\": new_results_embeddings}, RESOURCES / \"results/result_embeddings.safetensors\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61950207-0f95-44f5-a4e1-9f256c21a9e3",
   "metadata": {},
   "source": [
    "We can now re-run our knowledge base update script."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "39330ade-fed0-4802-9aea-c0ad358fbf78",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting config_knowledge_base.yaml\n"
     ]
    }
   ],
   "source": [
    "%%writefile config_knowledge_base.yaml\n",
    "knowledge-informations-path: ../../lynx_id/resources/knowledge_db/new_informations.csv\n",
    "knowledge-embeddings-path: ../../lynx_id/resources/knowledge_db/new_embeddings.safetensors\n",
    "updated-informations-path: ../../lynx_id/resources/results/result_informations.csv\n",
    "updated-embeddings-path: ../../lynx_id/resources/results/result_embeddings.safetensors\n",
    "new-knowledge-informations-path: ../../lynx_id/resources/knowledge_db/new_informations_final.csv\n",
    "new-knowledge-embeddings-path: ../../lynx_id/resources/knowledge_db/new_embeddings_final.safetensors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7cb09a3f-b3c8-4da7-b490-6b4332a837a6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": []
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model directory set to: /lustre/fswork/projects/rech/fpb/commun/models\n",
      "This is the knowledge_base script.\n",
      "End of knowledge_base script.\n"
     ]
    }
   ],
   "source": [
    "!python -m lynx_id knowledge_base --config config_knowledge_base.yaml"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2036ff1e-b008-4125-9e7d-2c002c1ab345",
   "metadata": {},
   "source": [
    "We look at the updated generated information file. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "30acdf6f-a645-4b4e-8d5f-1d2d9701adc5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "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>filepath</th>\n",
       "      <th>lynx_id</th>\n",
       "      <th>date</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>Goat</td>\n",
       "      <td>2025-01-03</td>\n",
       "      <td>Annecy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8715</th>\n",
       "      <td>/lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...</td>\n",
       "      <td>439_FR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               filepath lynx_id        date  \\\n",
       "8714  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...    Goat  2025-01-03   \n",
       "8715  /lustre/fswork/projects/rech/ads/uxp55sd/DP-SC...  439_FR         NaN   \n",
       "\n",
       "     location  \n",
       "8714   Annecy  \n",
       "8715      NaN  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_informations = pd.read_csv(RESOURCES / \"knowledge_db/new_informations_final.csv\")\n",
    "final_informations.tail(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a078453-e2a7-4b30-b45c-c3fe2da6cf78",
   "metadata": {},
   "source": [
    "We do the same for embeddings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "71f03875-3d75-44c7-9cd6-4907b2324278",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([8716, 1536])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with safe_open(RESOURCES / \"knowledge_db/new_embeddings_final.safetensors\", framework=\"pt\", device=\"cpu\") as f:\n",
    "    final_embeddings = f.get_tensor(\"embeddings\")\n",
    "final_embeddings.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f22f1e6e-35cf-44d0-8f0f-a042ad68f9f8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[ 0.0000,  0.0000,  0.0000,  ...,  0.0000,  0.0000,  0.0000],\n",
       "        [ 0.0854,  0.4875,  0.0563,  ...,  0.2650,  0.0377, -0.4591]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_embeddings[-2:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "391d131b-c902-4f73-95ca-026683a380d4",
   "metadata": {},
   "source": [
    "The embeddings and information have been updated without adding new elements to our knowledge base."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afed9392-abd2-4c11-a63a-daa067dd0f63",
   "metadata": {},
   "source": [
    "## **OPTIONAL: building a knowledge base from a dataset**\n",
    "\n",
    "If you want to build a new knowledge base with a certain model, you can use the following cells, adapting them to your code."
   ]
  },
  {
   "cell_type": "raw",
   "id": "7872010a-826a-42be-8bb4-4889a13bbab6",
   "metadata": {},
   "source": [
    "from lynx_id.data.dataset import LynxDataset\n",
    "from lynx_id.data.transformations_and_augmentations import transforms_megadescriptor as transforms\n",
    "from torch.utils.data import DataLoader\n",
    "from lynx_id.data.collate import collate_single\n",
    "from lynx_id.model.embeddings import EmbeddingModel\n",
    "\n",
    "BASE_PATH = Path(\"/lustre/fsn1/projects/rech/ads/commun/datasets/balanced_noswiss_csv\")\n",
    "countries = ['all']\n",
    "image_size = 384\n",
    "probabilities = [0, 0, 1]"
   ]
  },
  {
   "cell_type": "raw",
   "id": "043e8cba-2730-4dad-a1bd-04917649dedb",
   "metadata": {},
   "source": [
    "train_lynxDataset = LynxDataset(\n",
    "    dataset_csv=Path(BASE_PATH / 'lynx_id_balanced_train.csv'),\n",
    "    countries=countries,\n",
    "    loader=\"pil\",\n",
    "    transform=transforms(image_size=image_size),\n",
    "    augmentation=None,\n",
    "    probabilities=probabilities,\n",
    "    mode='single',\n",
    "    device=\"auto\"\n",
    ")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "21121a4f-4d4d-4a99-b04d-ed62e040dcad",
   "metadata": {},
   "source": [
    "train_dataloader = DataLoader(\n",
    "    train_lynxDataset,\n",
    "    batch_size=64,\n",
    "    shuffle=False,\n",
    "    num_workers=4,\n",
    "    collate_fn=collate_single,\n",
    "    prefetch_factor=4\n",
    ")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "e503b9b0-4043-4fbc-b8e0-127ed0f7f682",
   "metadata": {},
   "source": [
    "embedding_model = EmbeddingModel(\n",
    "    model_path=\"/lustre/fswork/projects/rech/ads/commun/kg_tests/experiments/megad_noswiss_full/2024-12-17_22-20-21/model_best_0.019.pth\",\n",
    "    device=\"cuda\",\n",
    "    model_type='megadescriptor',\n",
    ")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "28762a93-3a54-4497-92de-2555cbae2d1b",
   "metadata": {},
   "source": [
    "train_embeddings = embedding_model.compute_embeddings(\n",
    "    train_dataloader,\n",
    "    save_embeddings_path=\"/lustre/fswork/projects/rech/ads/uxp55sd/DP-SCR_Identify-and-estimate-density-lynx-population/lynx_id/resources/knowledge_db/embeddings.safetensors\",\n",
    "    save_lynx_infos_path=\"/lustre/fswork/projects/rech/ads/uxp55sd/DP-SCR_Identify-and-estimate-density-lynx-population/lynx_id/resources/knowledge_db/informations.csv\").to(\"cpu\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch-gpu-2.2.0_py3.11.7",
   "language": "python",
   "name": "module-conda-env-pytorch-gpu-2.2.0_py3.11.7"
  },
  "language_info": {
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}