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641 lines
371 KiB
641 lines
371 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Bird Species Identifier - Binary Decision Tree Model"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Species\n",
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"__MASKED BOBBY__: species 1 \n",
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"__CRESTED COUA__: species 2"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Etape 1: chargée les données\n",
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"\n",
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"Pour commencer on va charger les images de deux especes de oiseau, qu'on va utiliser pour entrainer notre model."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Species 1 images:\n",
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"['040.jpg', '085.jpg', '070.jpg', '071.jpg', '131.jpg', '061.jpg', '114.jpg', '001.jpg', '103.jpg', '033.jpg', '014.jpg', '038.jpg', '050.jpg', '008.jpg', '087.jpg', '118.jpg', '129.jpg', '023.jpg', '053.jpg', '128.jpg', '086.jpg', '116.jpg', '002.jpg', '077.jpg', '039.jpg', '016.jpg', '024.jpg', '009.jpg', '082.jpg', '127.jpg', '015.jpg', '080.jpg', '106.jpg', '094.jpg', '091.jpg', '096.jpg', '124.jpg', '112.jpg', '064.jpg', '030.jpg', '081.jpg', '126.jpg', '105.jpg', '026.jpg', '021.jpg', '017.jpg', '076.jpg', '003.jpg', '108.jpg', '098.jpg', '099.jpg', '111.jpg', '113.jpg', '020.jpg', '012.jpg', '067.jpg', '044.jpg', '101.jpg', '130.jpg', '083.jpg', '055.jpg', '022.jpg', '109.jpg', '123.jpg', '119.jpg', '120.jpg', '019.jpg', '035.jpg', '097.jpg', '122.jpg', '029.jpg', '058.jpg', '089.jpg', '059.jpg', '065.jpg', '090.jpg', '066.jpg', '031.jpg', '084.jpg', '018.jpg', '048.jpg', '006.jpg', '104.jpg', '057.jpg', '074.jpg', '042.jpg', '011.jpg', '093.jpg', '049.jpg', '025.jpg', '069.jpg', '068.jpg', '125.jpg', '092.jpg', '132.jpg', '005.jpg', '043.jpg', '100.jpg', '079.jpg', '047.jpg', '054.jpg', '095.jpg', '010.jpg', '032.jpg', '056.jpg', '107.jpg', '102.jpg', '007.jpg', '046.jpg', '004.jpg', '115.jpg', '110.jpg', '034.jpg', '063.jpg', '028.jpg', '051.jpg', '062.jpg', '088.jpg', '075.jpg', '072.jpg', '052.jpg', '121.jpg', '037.jpg', '013.jpg', '045.jpg', '027.jpg', '073.jpg', '060.jpg', '036.jpg', '117.jpg', '078.jpg', '041.jpg']\n",
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"Species 2 images:\n",
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"['134.jpg', '040.jpg', '085.jpg', '070.jpg', '071.jpg', '131.jpg', '061.jpg', '114.jpg', '001.jpg', '152.jpg', '103.jpg', '033.jpg', '014.jpg', '137.jpg', '038.jpg', '050.jpg', '008.jpg', '087.jpg', '118.jpg', '129.jpg', '023.jpg', '053.jpg', '128.jpg', '086.jpg', '116.jpg', '143.jpg', '002.jpg', '077.jpg', '039.jpg', '016.jpg', '024.jpg', '009.jpg', '082.jpg', '127.jpg', '015.jpg', '135.jpg', '080.jpg', '106.jpg', '138.jpg', '094.jpg', '147.jpg', '091.jpg', '096.jpg', '151.jpg', '124.jpg', '112.jpg', '064.jpg', '030.jpg', '081.jpg', '126.jpg', '105.jpg', '026.jpg', '149.jpg', '021.jpg', '017.jpg', '145.jpg', '076.jpg', '150.jpg', '003.jpg', '108.jpg', '098.jpg', '099.jpg', '111.jpg', '113.jpg', '020.jpg', '136.jpg', '012.jpg', '067.jpg', '044.jpg', '101.jpg', '130.jpg', '083.jpg', '055.jpg', '022.jpg', '109.jpg', '123.jpg', '133.jpg', '119.jpg', '120.jpg', '019.jpg', '035.jpg', '097.jpg', '122.jpg', '029.jpg', '058.jpg', '089.jpg', '059.jpg', '065.jpg', '090.jpg', '066.jpg', '139.jpg', '031.jpg', '084.jpg', '018.jpg', '141.jpg', '048.jpg', '006.jpg', '104.jpg', '057.jpg', '074.jpg', '042.jpg', '011.jpg', '093.jpg', '049.jpg', '025.jpg', '069.jpg', '068.jpg', '125.jpg', '092.jpg', '132.jpg', '005.jpg', '043.jpg', '100.jpg', '142.jpg', '079.jpg', '047.jpg', '054.jpg', '095.jpg', '010.jpg', '032.jpg', '056.jpg', '107.jpg', '102.jpg', '007.jpg', '140.jpg', '046.jpg', '004.jpg', '115.jpg', '110.jpg', '034.jpg', '148.jpg', '063.jpg', '028.jpg', '051.jpg', '062.jpg', '088.jpg', '075.jpg', '072.jpg', '052.jpg', '144.jpg', '146.jpg', '121.jpg', '037.jpg', '013.jpg', '045.jpg', '027.jpg', '073.jpg', '060.jpg', '036.jpg', '117.jpg', '078.jpg', '041.jpg']\n"
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]
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},
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{
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"data": {
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",
|
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"text/plain": [
|
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"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import os\n",
|
|
"import cv2\n",
|
|
"import matplotlib.pyplot as plt\n",
|
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"\n",
|
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"CLASS_NAMES = ['MASKED BOBBY', 'CRESTED COUA']\n",
|
|
"\n",
|
|
"# Define the directory where your images are stored\n",
|
|
"species1_img_dir = r'/home/louba/Documents/BDBird/train/MASKED BOOBY'\n",
|
|
"species2_img_dir = r'/home/louba/Documents/BDBird/train/CRESTED COUA'\n",
|
|
"\n",
|
|
"# Get the list of image file names\n",
|
|
"s1_image_names = os.listdir(species1_img_dir)\n",
|
|
"s2_image_names = os.listdir(species2_img_dir)\n",
|
|
"\n",
|
|
"# Load the images of each species\n",
|
|
"s1_images = []\n",
|
|
"for image in s1_image_names:\n",
|
|
" img = cv2.imread(os.path.join(species1_img_dir, image))\n",
|
|
" s1_images.append(img)\n",
|
|
"\n",
|
|
"s2_images = []\n",
|
|
"for image in s2_image_names:\n",
|
|
" img = cv2.imread(os.path.join(species2_img_dir, image))\n",
|
|
" s2_images.append(img)\n",
|
|
"\n",
|
|
"# Print the loaded image names\n",
|
|
"print(\"Species 1 images:\")\n",
|
|
"print(s1_image_names)\n",
|
|
"\n",
|
|
"print(\"Species 2 images:\")\n",
|
|
"print(s2_image_names)\n",
|
|
"\n",
|
|
"plt.imshow(s1_images[0])\n",
|
|
"plt.axis('off')\n",
|
|
"plt.show()\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Chargement des jeux de test pour chaque espèce"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Species 1 images:\n",
|
|
"['040.jpg', '085.jpg', '070.jpg', '071.jpg', '131.jpg', '061.jpg', '114.jpg', '001.jpg', '103.jpg', '033.jpg', '014.jpg', '038.jpg', '050.jpg', '008.jpg', '087.jpg', '118.jpg', '129.jpg', '023.jpg', '053.jpg', '128.jpg', '086.jpg', '116.jpg', '002.jpg', '077.jpg', '039.jpg', '016.jpg', '024.jpg', '009.jpg', '082.jpg', '127.jpg', '015.jpg', '080.jpg', '106.jpg', '094.jpg', '091.jpg', '096.jpg', '124.jpg', '112.jpg', '064.jpg', '030.jpg', '081.jpg', '126.jpg', '105.jpg', '026.jpg', '021.jpg', '017.jpg', '076.jpg', '003.jpg', '108.jpg', '098.jpg', '099.jpg', '111.jpg', '113.jpg', '020.jpg', '012.jpg', '067.jpg', '044.jpg', '101.jpg', '130.jpg', '083.jpg', '055.jpg', '022.jpg', '109.jpg', '123.jpg', '119.jpg', '120.jpg', '019.jpg', '035.jpg', '097.jpg', '122.jpg', '029.jpg', '058.jpg', '089.jpg', '059.jpg', '065.jpg', '090.jpg', '066.jpg', '031.jpg', '084.jpg', '018.jpg', '048.jpg', '006.jpg', '104.jpg', '057.jpg', '074.jpg', '042.jpg', '011.jpg', '093.jpg', '049.jpg', '025.jpg', '069.jpg', '068.jpg', '125.jpg', '092.jpg', '132.jpg', '005.jpg', '043.jpg', '100.jpg', '079.jpg', '047.jpg', '054.jpg', '095.jpg', '010.jpg', '032.jpg', '056.jpg', '107.jpg', '102.jpg', '007.jpg', '046.jpg', '004.jpg', '115.jpg', '110.jpg', '034.jpg', '063.jpg', '028.jpg', '051.jpg', '062.jpg', '088.jpg', '075.jpg', '072.jpg', '052.jpg', '121.jpg', '037.jpg', '013.jpg', '045.jpg', '027.jpg', '073.jpg', '060.jpg', '036.jpg', '117.jpg', '078.jpg', '041.jpg']\n",
|
|
"Species 2 images:\n",
|
|
"['134.jpg', '040.jpg', '085.jpg', '070.jpg', '071.jpg', '131.jpg', '061.jpg', '114.jpg', '001.jpg', '152.jpg', '103.jpg', '033.jpg', '014.jpg', '137.jpg', '038.jpg', '050.jpg', '008.jpg', '087.jpg', '118.jpg', '129.jpg', '023.jpg', '053.jpg', '128.jpg', '086.jpg', '116.jpg', '143.jpg', '002.jpg', '077.jpg', '039.jpg', '016.jpg', '024.jpg', '009.jpg', '082.jpg', '127.jpg', '015.jpg', '135.jpg', '080.jpg', '106.jpg', '138.jpg', '094.jpg', '147.jpg', '091.jpg', '096.jpg', '151.jpg', '124.jpg', '112.jpg', '064.jpg', '030.jpg', '081.jpg', '126.jpg', '105.jpg', '026.jpg', '149.jpg', '021.jpg', '017.jpg', '145.jpg', '076.jpg', '150.jpg', '003.jpg', '108.jpg', '098.jpg', '099.jpg', '111.jpg', '113.jpg', '020.jpg', '136.jpg', '012.jpg', '067.jpg', '044.jpg', '101.jpg', '130.jpg', '083.jpg', '055.jpg', '022.jpg', '109.jpg', '123.jpg', '133.jpg', '119.jpg', '120.jpg', '019.jpg', '035.jpg', '097.jpg', '122.jpg', '029.jpg', '058.jpg', '089.jpg', '059.jpg', '065.jpg', '090.jpg', '066.jpg', '139.jpg', '031.jpg', '084.jpg', '018.jpg', '141.jpg', '048.jpg', '006.jpg', '104.jpg', '057.jpg', '074.jpg', '042.jpg', '011.jpg', '093.jpg', '049.jpg', '025.jpg', '069.jpg', '068.jpg', '125.jpg', '092.jpg', '132.jpg', '005.jpg', '043.jpg', '100.jpg', '142.jpg', '079.jpg', '047.jpg', '054.jpg', '095.jpg', '010.jpg', '032.jpg', '056.jpg', '107.jpg', '102.jpg', '007.jpg', '140.jpg', '046.jpg', '004.jpg', '115.jpg', '110.jpg', '034.jpg', '148.jpg', '063.jpg', '028.jpg', '051.jpg', '062.jpg', '088.jpg', '075.jpg', '072.jpg', '052.jpg', '144.jpg', '146.jpg', '121.jpg', '037.jpg', '013.jpg', '045.jpg', '027.jpg', '073.jpg', '060.jpg', '036.jpg', '117.jpg', '078.jpg', '041.jpg']\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Define the directory where your images are stored\n",
|
|
"species1_img_dir_TEST = r'/home/louba/Documents/BDBird/train/MASKED BOOBY'\n",
|
|
"species2_img_dir_TEST = r'/home/louba/Documents/BDBird/train/CRESTED COUA'\n",
|
|
"\n",
|
|
"# Get the list of image file names\n",
|
|
"s1_image_names_TEST = os.listdir(species1_img_dir_TEST)\n",
|
|
"s2_image_names_TEST = os.listdir(species2_img_dir_TEST)\n",
|
|
"\n",
|
|
"# Load the images of each species\n",
|
|
"s1_images_TEST = []\n",
|
|
"for image in s1_image_names_TEST:\n",
|
|
" img = cv2.imread(os.path.join(species1_img_dir_TEST, image))\n",
|
|
" s1_images_TEST.append(img)\n",
|
|
"\n",
|
|
"s2_images_TEST = []\n",
|
|
"for image in s2_image_names_TEST:\n",
|
|
" img = cv2.imread(os.path.join(species2_img_dir_TEST, image))\n",
|
|
" s2_images_TEST.append(img)\n",
|
|
"\n",
|
|
"# Print the loaded image names\n",
|
|
"print(\"Species 1 images:\")\n",
|
|
"print(s1_image_names_TEST)\n",
|
|
"\n",
|
|
"print(\"Species 2 images:\")\n",
|
|
"print(s2_image_names_TEST)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Dans cette étape, nous avons traité les images. C'est une étape importante car elle peut affecter considérablement les performances de notre modèle.\n",
|
|
"\n",
|
|
"Nous avons effectué deux opérations principales :\n",
|
|
"\n",
|
|
"1. **Redimensionnement** : Nous avons redimensionné toutes les images pour qu'elles aient la même taille (224x224 pixels). C'est nécessaire car l'entrée d'un modèle d'apprentissage automatique doit toujours être de la même taille.\n",
|
|
"\n",
|
|
"2. **Normalisation** : Nous avons normalisé les valeurs des pixels pour qu'elles soient comprises entre 0 et 1. Cela est généralement fait en divisant chaque valeur de pixel par 255 (puisque les valeurs RGB varient de 0 à 255). La normalisation aide à accélérer l'apprentissage du modèle et conduit souvent à de meilleures performances.\n",
|
|
"\n",
|
|
"Notez que pour un modèle plus complexe, il pourrait être nécessaire d'ajouter des étapes supplémentaires, comme la suppression de l'arrière-plan."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Processed images shape: (284, 224, 224, 3)\n",
|
|
"- len : 284\n",
|
|
"Processed images shape TEST: (284, 224, 224, 3)\n",
|
|
"- len : 284\n"
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|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np\n",
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|
"\n",
|
|
"# Process species 1 images\n",
|
|
"processed_images_species1 = []\n",
|
|
"for img in s1_images:\n",
|
|
" # Resize image to 224x224 pixels\n",
|
|
" resized = cv2.resize(img, (224, 224))\n",
|
|
" # Normalize pixel values\n",
|
|
" normalized = resized / 255.0\n",
|
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" processed_images_species1.append(normalized)\n",
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"\n",
|
|
"# Convert the list to a numpy array\n",
|
|
"processed_images = np.array(processed_images_species1)\n",
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|
"\n",
|
|
"# Process species 2 images\n",
|
|
"processed_images_species2 = []\n",
|
|
"for img in s2_images:\n",
|
|
" resized = cv2.resize(img, (224, 224))\n",
|
|
" normalized = resized / 255.0\n",
|
|
" processed_images_species2.append(normalized)\n",
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"\n",
|
|
"processed_images = np.concatenate((processed_images_species1, processed_images_species2))\n",
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|
"\n",
|
|
"## Concatenate the test set\n",
|
|
"# Process species 1 images\n",
|
|
"processed_images_species1_TEST = []\n",
|
|
"for img in s1_images_TEST:\n",
|
|
" # Resize image to 224x224 pixels\n",
|
|
" resized = cv2.resize(img, (224, 224))\n",
|
|
" # Normalize pixel values\n",
|
|
" normalized = resized / 255.0\n",
|
|
" processed_images_species1_TEST.append(normalized)\n",
|
|
"\n",
|
|
"# Convert the list to a numpy array\n",
|
|
"processed_images_TEST = np.array(processed_images_species1)\n",
|
|
"\n",
|
|
"# Process species 2 images\n",
|
|
"processed_images_species2_TEST = []\n",
|
|
"for img in s2_images_TEST:\n",
|
|
" resized = cv2.resize(img, (224, 224))\n",
|
|
" normalized = resized / 255.0\n",
|
|
" processed_images_species2_TEST.append(normalized)\n",
|
|
"\n",
|
|
"processed_images_TEST = np.concatenate((processed_images_species1_TEST, processed_images_species2_TEST))\n",
|
|
"\n",
|
|
"# print len and shape of the processed images\n",
|
|
"print(\"Processed images shape:\", processed_images.shape)\n",
|
|
"print(\"- len :\", len(processed_images))\n",
|
|
"print(\"Processed images shape TEST:\", processed_images_TEST.shape)\n",
|
|
"print(\"- len :\", len(processed_images_TEST))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Rappel\n",
|
|
"\n",
|
|
"**Features** are the inputs to the model. In your case, the features are the processed images of birds. \n",
|
|
"\n",
|
|
"**Labels** are what we want the model to predict. In your case, the labels are the species of the birds.\n",
|
|
"\n",
|
|
"Ici, `X_train` et `X_test` sont les features (images), et `y_train` and `y_test` sont les labels (espèces)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Labelisation"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"284\n",
|
|
"284\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Get the length of the lists\n",
|
|
"num_s1_images = len(s1_images)\n",
|
|
"num_s2_images = len(s2_images)\n",
|
|
"\n",
|
|
"# Create labels\n",
|
|
"s1_labels = [1] * num_s1_images # for species 1\n",
|
|
"s2_labels = [2] * num_s2_images # for species 2\n",
|
|
"\n",
|
|
"# combiner les labels dans l'ordre des images\n",
|
|
"labels = s1_labels + s2_labels\n",
|
|
"print(len(labels))\n",
|
|
"\n",
|
|
"# Do the same for the test set\n",
|
|
"num_s1_images_TEST = len(s1_images_TEST)\n",
|
|
"num_s2_images_TEST = len(s2_images_TEST)\n",
|
|
"\n",
|
|
"s1_labels_TEST = [1] * num_s1_images_TEST \n",
|
|
"s2_labels_TEST = [2] * num_s2_images_TEST \n",
|
|
"\n",
|
|
"labels_TEST = s1_labels_TEST + s2_labels_TEST\n",
|
|
"print(len(labels_TEST))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Construction du model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.3\n",
|
|
" warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn import tree\n",
|
|
"from sklearn.model_selection import train_test_split\n",
|
|
"\n",
|
|
"# x represents our images, the inputs of the model (bird images)\n",
|
|
"# y represents our labels, the outputs of the model (bird species)\n",
|
|
"\n",
|
|
"# We can use our dataset's test set to train the model and the test set to evaluate it\n",
|
|
"X_train = processed_images\n",
|
|
"y_train = labels\n",
|
|
"X_test = processed_images_TEST\n",
|
|
"y_test = labels_TEST\n",
|
|
"\n",
|
|
"# Initialize the model\n",
|
|
"clf = tree.DecisionTreeClassifier()\n",
|
|
"\n",
|
|
"# Flatten the images from 4D to 2D\n",
|
|
"X_train = X_train.reshape(X_train.shape[0], -1)\n",
|
|
"X_test = X_test.reshape(X_test.shape[0], -1)\n",
|
|
"\n",
|
|
"# Train the model\n",
|
|
"clf = clf.fit(X_train, y_train)\n",
|
|
"\n",
|
|
"# Predict on the test set\n",
|
|
"predictions = clf.predict(X_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Resultat des predictions"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Expected Result: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]\n",
|
|
"Predicted Result: [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
|
|
" 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
|
|
" 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
|
|
" 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
|
|
" 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
|
|
" 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
|
|
" 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
|
|
" 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2]\n",
|
|
"Accuracy: 100.00%\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.metrics import accuracy_score\n",
|
|
"\n",
|
|
"# Calculate and print the accuracy\n",
|
|
"# Print the test labels\n",
|
|
"print(\"Expected Result:\", y_test)\n",
|
|
"print(\"Predicted Result:\", predictions)\n",
|
|
"\n",
|
|
"# Calculate and print the accuracy\n",
|
|
"accuracy = accuracy_score(y_test, predictions)\n",
|
|
"print(\"Accuracy: {:.2f}%\".format(accuracy * 100))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"We can also try to split the train set in 80/20 to get a larger training set and compare the results."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# here we split our data into training and testing sets\n",
|
|
"X_train2, X_test2, y_train2, y_test2 = train_test_split(processed_images, labels, test_size=0.2, random_state=42)\n",
|
|
"\n",
|
|
"# And then we do the same as before, train the model and predict on the test set\n",
|
|
"\n",
|
|
"# Initialize the model\n",
|
|
"clf = tree.DecisionTreeClassifier()\n",
|
|
"\n",
|
|
"# Flatten the images from 4D to 2D\n",
|
|
"X_train2 = X_train2.reshape(X_train2.shape[0], -1)\n",
|
|
"X_test2 = X_test2.reshape(X_test2.shape[0], -1)\n",
|
|
"\n",
|
|
"# Train the model\n",
|
|
"clf = clf.fit(X_train2, y_train2)\n",
|
|
"\n",
|
|
"# Predict on the test set\n",
|
|
"predictions2 = clf.predict(X_test2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Expected Result: [1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 2, 2]\n",
|
|
"Predicted Result: [2 1 2 1 1 2 1 1 1 1 1 2 2 2 1 2 2 1 2 1 2 1 2 2 2 1 2 2 2 1 2 1 1 1 2 2 1\n",
|
|
" 1 2 2 1 2 1 2 1 2 2 2 1 1 2 2 2 1 1 2 2]\n",
|
|
"Accuracy: 70.18%\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Calculate and print the accuracy\n",
|
|
"# Print the test labels\n",
|
|
"print(\"Expected Result:\", y_test2)\n",
|
|
"print(\"Predicted Result:\", predictions2)\n",
|
|
"\n",
|
|
"# Calculate and print the accuracy\n",
|
|
"accuracy = accuracy_score(y_test2, predictions2)\n",
|
|
"print(\"Accuracy: {:.2f}%\".format(accuracy * 100))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Visualize the decision tree "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1440x720 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from sklearn.tree import plot_tree\n",
|
|
"\n",
|
|
"# Plot the decision tree\n",
|
|
"plt.figure(figsize=(20,10)) # Set the figure size\n",
|
|
"plot_tree(clf, filled=True, rounded=True, class_names=CLASS_NAMES)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Matrice de confusion set de test originale"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 720x504 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn.metrics import confusion_matrix\n",
|
|
"import seaborn as sns\n",
|
|
"\n",
|
|
"# Calculate the confusion matrix\n",
|
|
"cm = confusion_matrix(y_test, predictions)\n",
|
|
"\n",
|
|
"# Visualize the confusion matrix\n",
|
|
"plt.figure(figsize=(10,7))\n",
|
|
"sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
|
|
"plt.xlabel('Predicted')\n",
|
|
"plt.ylabel('Truth')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Matrice de confusion set 80/20"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 720x504 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Calculate the confusion matrix\n",
|
|
"cm2 = confusion_matrix(y_test2, predictions2)\n",
|
|
"\n",
|
|
"# Visualize the confusion matrix\n",
|
|
"plt.figure(figsize=(10,7))\n",
|
|
"sns.heatmap(cm2, annot=True, fmt='d', cmap='Greens')\n",
|
|
"plt.xlabel('Predicted')\n",
|
|
"plt.ylabel('Truth')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Bird Species Identifier - CNN Model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "TypeError",
|
|
"evalue": "Image data of dtype object cannot be converted to float",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m/tmp/ipykernel_4382/2979524342.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms1_images\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0morig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0morig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0morig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0morig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2RGB\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255.0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/_api/deprecation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\"parameter will become keyword-only %(removal)s.\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 455\u001b[0m name=name, obj_type=f\"parameter of {func.__name__}()\")\n\u001b[0;32m--> 456\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 457\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 458\u001b[0m \u001b[0;31m# Don't modify *func*'s signature, as boilerplate.py needs it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mimshow\u001b[0;34m(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, interpolation_stage, filternorm, filterrad, resample, url, data, **kwargs)\u001b[0m\n\u001b[1;32m 2638\u001b[0m \u001b[0minterpolation_stage\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilternorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilterrad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4.0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2639\u001b[0m resample=None, url=None, data=None, **kwargs):\n\u001b[0;32m-> 2640\u001b[0;31m __ret = gca().imshow(\n\u001b[0m\u001b[1;32m 2641\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcmap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnorm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maspect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maspect\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2642\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minterpolation\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/_api/deprecation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\"parameter will become keyword-only %(removal)s.\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 455\u001b[0m name=name, obj_type=f\"parameter of {func.__name__}()\")\n\u001b[0;32m--> 456\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 457\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 458\u001b[0m \u001b[0;31m# Don't modify *func*'s signature, as boilerplate.py needs it.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1414\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1415\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1416\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msanitize_sequence\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1417\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1418\u001b[0m \u001b[0mbound\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_sig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mimshow\u001b[0;34m(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, interpolation_stage, filternorm, filterrad, resample, url, **kwargs)\u001b[0m\n\u001b[1;32m 5486\u001b[0m **kwargs)\n\u001b[1;32m 5487\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5488\u001b[0;31m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5489\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_alpha\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5490\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_clip_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/usr/lib/python3/dist-packages/matplotlib/image.py\u001b[0m in \u001b[0;36mset_data\u001b[0;34m(self, A)\u001b[0m\n\u001b[1;32m 704\u001b[0m if (self._A.dtype != np.uint8 and\n\u001b[1;32m 705\u001b[0m not np.can_cast(self._A.dtype, float, \"same_kind\")):\n\u001b[0;32m--> 706\u001b[0;31m raise TypeError(\"Image data of dtype {} cannot be converted to \"\n\u001b[0m\u001b[1;32m 707\u001b[0m \"float\".format(self._A.dtype))\n\u001b[1;32m 708\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mTypeError\u001b[0m: Image data of dtype object cannot be converted to float"
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]
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAMX0lEQVR4nO3bX4il9X3H8fenuxEak0aJk5DuKt2WNbotWnRiJPSPaWizay6WgBdqqFQCixBDLpVCk4I3zUUhBP8siyySm+xNJN0UEyktiQVr4yz4bxVlulKdrOAaQwoGKqvfXsxpc3q+szvPrGfO2cH3CwbmeZ7fOefLMOc9zzzzTKoKSRr3G/MeQNL5xzBIagyDpMYwSGoMg6TGMEhq1g1DksNJXk/y3BmOJ8m3kywneSbJNdMfU9IsDTljeAjYe5bj+4Ddo48DwAPvfSxJ87RuGKrqMeDNsyzZD3ynVj0BXJTkE9MaUNLsbZ/Cc+wAXh3bXhnte21yYZIDrJ5VcOGFF157xRVXTOHlJZ3JsWPH3qiqhY0+bhphyBr71rzPuqoOAYcAFhcXa2lpaQovL+lMkvznuTxuGn+VWAEuHdveCZycwvNKmpNphOEocNvorxPXA7+sqvZrhKStY91fJZJ8F7gBuCTJCvAN4AMAVXUQeAS4EVgGfgXcvlnDSpqNdcNQVbesc7yAr0xtIklz552PkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySmkFhSLI3yYtJlpPcvcbxjyT5QZKnkxxPcvv0R5U0K+uGIck24D5gH7AHuCXJnollXwGer6qrgRuAv09ywZRnlTQjQ84YrgOWq+pEVb0NHAH2T6wp4MNJAnwIeBM4PdVJJc3MkDDsAF4d214Z7Rt3L3AlcBJ4FvhaVb07+URJDiRZSrJ06tSpcxxZ0mYbEoassa8mtj8PPAX8NvCHwL1Jfqs9qOpQVS1W1eLCwsIGR5U0K0PCsAJcOra9k9Uzg3G3Aw/XqmXgZeCK6YwoadaGhOFJYHeSXaMLijcDRyfWvAJ8DiDJx4FPAiemOaik2dm+3oKqOp3kTuBRYBtwuKqOJ7ljdPwgcA/wUJJnWf3V466qemMT55a0idYNA0BVPQI8MrHv4NjnJ4G/mO5okubFOx8lNYZBUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUmMYJDWGQVIzKAxJ9iZ5MclykrvPsOaGJE8lOZ7kJ9MdU9IsbV9vQZJtwH3AnwMrwJNJjlbV82NrLgLuB/ZW1StJPrZJ80qagSFnDNcBy1V1oqreBo4A+yfW3Ao8XFWvAFTV69MdU9IsDQnDDuDVse2V0b5xlwMXJ/lxkmNJblvriZIcSLKUZOnUqVPnNrGkTTckDFljX01sbweuBb4AfB74mySXtwdVHaqqxapaXFhY2PCwkmZj3WsMrJ4hXDq2vRM4ucaaN6rqLeCtJI8BVwMvTWVKSTM15IzhSWB3kl1JLgBuBo5OrPkH4I+TbE/yQeDTwAvTHVXSrKx7xlBVp5PcCTwKbAMOV9XxJHeMjh+sqheS/Ah4BngXeLCqntvMwSVtnlRNXi6YjcXFxVpaWprLa0vvF0mOVdXiRh/nnY+SGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJKaQWFIsjfJi0mWk9x9lnWfSvJOkpumN6KkWVs3DEm2AfcB+4A9wC1J9pxh3TeBR6c9pKTZGnLGcB2wXFUnqupt4Aiwf411XwW+B7w+xfkkzcGQMOwAXh3bXhnt+z9JdgBfBA6e7YmSHEiylGTp1KlTG51V0owMCUPW2FcT298C7qqqd872RFV1qKoWq2pxYWFh4IiSZm37gDUrwKVj2zuBkxNrFoEjSQAuAW5Mcrqqvj+NISXN1pAwPAnsTrIL+BlwM3Dr+IKq2vW/nyd5CPhHoyBtXeuGoapOJ7mT1b82bAMOV9XxJHeMjp/1uoKkrWfIGQNV9QjwyMS+NYNQVX/13seSNE/e+SipMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkhrDIKkxDJIawyCpMQySGsMgqTEMkppBYUiyN8mLSZaT3L3G8S8leWb08XiSq6c/qqRZWTcMSbYB9wH7gD3ALUn2TCx7GfjTqroKuAc4NO1BJc3OkDOG64DlqjpRVW8DR4D94wuq6vGq+sVo8wlg53THlDRLQ8KwA3h1bHtltO9Mvgz8cK0DSQ4kWUqydOrUqeFTSpqpIWHIGvtqzYXJZ1kNw11rHa+qQ1W1WFWLCwsLw6eUNFPbB6xZAS4d294JnJxclOQq4EFgX1X9fDrjSZqHIWcMTwK7k+xKcgFwM3B0fEGSy4CHgb+sqpemP6akWVr3jKGqTie5E3gU2AYcrqrjSe4YHT8IfB34KHB/EoDTVbW4eWNL2kypWvNywaZbXFyspaWluby29H6R5Ni5/JD2zkdJjWGQ1BgGSY1hkNQYBkmNYZDUGAZJjWGQ1BgGSY1hkNQYBkmNYZDUGAZJjWGQ1BgGSY1hkNQYBkmNYZDUGAZJjWGQ1BgGSY1hkNQYBkmNYZDUGAZJjWGQ1BgGSY1hkNQYBkmNYZDUGAZJjWGQ1BgGSY1hkNQYBknNoDAk2ZvkxSTLSe5e43iSfHt0/Jkk10x/VEmzsm4YkmwD7gP2AXuAW5LsmVi2D9g9+jgAPDDlOSXN0JAzhuuA5ao6UVVvA0eA/RNr9gPfqVVPABcl+cSUZ5U0I9sHrNkBvDq2vQJ8esCaHcBr44uSHGD1jALgv5M8t6Fp5+sS4I15DzHQVpoVtta8W2lWgE+ey4OGhCFr7KtzWENVHQIOASRZqqrFAa9/XthK826lWWFrzbuVZoXVec/lcUN+lVgBLh3b3gmcPIc1kraIIWF4EtidZFeSC4CbgaMTa44Ct43+OnE98Muqem3yiSRtDev+KlFVp5PcCTwKbAMOV9XxJHeMjh8EHgFuBJaBXwG3D3jtQ+c89XxspXm30qywtebdSrPCOc6bqnYpQNL7nHc+SmoMg6Rm08OwlW6nHjDrl0YzPpPk8SRXz2POsXnOOu/Yuk8leSfJTbOcb2KGdWdNckOSp5IcT/KTWc84Mct63wsfSfKDJE+P5h1yXW1TJDmc5PUz3Rd0Tu+xqtq0D1YvVv4H8LvABcDTwJ6JNTcCP2T1XojrgX/fzJne46yfAS4efb5vXrMOnXds3b+weoH4pvN1VuAi4HngstH2x87nry3w18A3R58vAG8CF8xp3j8BrgGeO8PxDb/HNvuMYSvdTr3urFX1eFX9YrT5BKv3a8zLkK8twFeB7wGvz3K4CUNmvRV4uKpeAaiq833eAj6cJMCHWA3D6dmOORqk6rHR65/Jht9jmx2GM90qvdE1s7DROb7MaoXnZd15k+wAvggcnOFcaxnytb0cuDjJj5McS3LbzKbrhsx7L3AlqzfyPQt8rarenc14G7bh99iQW6Lfi6ndTj0Dg+dI8llWw/BHmzrR2Q2Z91vAXVX1zuoPtrkZMut24Frgc8BvAv+W5Imqemmzh1vDkHk/DzwF/Bnwe8A/JfnXqvqvTZ7tXGz4PbbZYdhKt1MPmiPJVcCDwL6q+vmMZlvLkHkXgSOjKFwC3JjkdFV9fyYT/trQ74M3quot4K0kjwFXA/MIw5B5bwf+rlZ/iV9O8jJwBfDT2Yy4IRt/j23yRZHtwAlgF7++iPP7E2u+wP+/MPLTOV3AGTLrZaze3fmZecy40Xkn1j/E/C4+DvnaXgn882jtB4HngD84j+d9APjb0ecfB34GXDLH74ff4cwXHzf8HtvUM4bavNup5zXr14GPAvePfgqfrjn9p93Aec8LQ2atqheS/Ah4BngXeLCq5vJv+QO/tvcADyV5ltU33F1VNZd/x07yXeAG4JIkK8A3gA+Mzbrh95i3REtqvPNRUmMYJDWGQVJjGCQ1hkFSYxgkNYZBUvM/YA1djYGMYyEAAAAASUVORK5CYII=",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"p = s1_images[0]\n",
|
|
"orig = cv2.imread(p)\n",
|
|
"orig = cv2.cvtColor(orig, cv2.COLOR_BGR2RGB) / 255.0\n",
|
|
"init_val = 100\n",
|
|
"columns = 3\n",
|
|
"rows = 3\n",
|
|
"\n",
|
|
"fig=plt.figure(figsize=(15, 10))\n",
|
|
"for i in range(1, columns*rows +1):\n",
|
|
" quality=init_val - (i-1) * 8\n",
|
|
" img = compute_ela_cv(path=p, quality=quality)\n",
|
|
" if i == 1:\n",
|
|
" img = orig.copy()\n",
|
|
" ax = fig.add_subplot(rows, columns, i) \n",
|
|
" ax.title.set_text(f'q: {quality}')\n",
|
|
" plt.imshow(img)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.10.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|