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{
"cells": [
{
"cell_type": "markdown",
"id": "80377b3b",
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"metadata": {},
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"source": [
"![Logo 1](img/aitech-logotyp-1.jpg)\n",
"<div class=\"alert alert-block alert-info\">\n",
"<h1> Widzenie komputerowe </h1>\n",
"<h2> 09. <i>Metody głębokiego uczenia (1)</i> [laboratoria]</h2> \n",
"<h3>Andrzej Wójtowicz (2021)</h3>\n",
"</div>\n",
"\n",
"![Logo 2](img/aitech-logotyp-2.jpg)"
]
},
{
"cell_type": "markdown",
"id": "07159136",
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"metadata": {},
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"source": [
"W poniższym materiale zobaczymy w jaki sposób korzystać z metod głębokiego uczenia sieci neuronowych w pakiecie OpenCV.\n",
"\n",
"Na początku załadujmy niezbędne biblioteki:"
]
},
{
"cell_type": "code",
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"execution_count": 1,
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"id": "b2e906f0",
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"metadata": {},
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"outputs": [],
"source": [
"import cv2 as cv\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"id": "f4348bc5",
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"metadata": {},
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"source": [
"OpenCV wspiera [wiele](https://github.com/opencv/opencv/wiki/Deep-Learning-in-OpenCV) bibliotek i modeli sieci neuronowych. Modele trenuje się poza OpenCV - bibliotekę wykorzystuje się tylko do predykcji, aczkolwiek sama w sobie ma całkiem sporo możliwych optymalizacji w porównaniu do źródłowych bibliotek neuronowych, więc predykcja może być tutaj faktycznie szybsza.\n",
"\n",
"Pliki z modelami i danymi pomocniczymi będziemy pobierali z sieci i będziemy je zapisywali w katalogu `dnn`:"
]
},
{
"cell_type": "code",
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"execution_count": 2,
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"id": "42b85f55",
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"metadata": {},
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"outputs": [],
"source": [
"!mkdir -p dnn"
]
},
{
"cell_type": "markdown",
"id": "ac09b098",
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"metadata": {},
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"source": [
"# Klasyfikacja obrazów\n",
"\n",
"Spróbujemy wykorzystać sieć do klasyfikacji obrazów wyuczonej na zbiorze [ImageNet](https://www.image-net.org/). Pobierzmy plik zawierający opis 1000 możliwych klas:"
]
},
{
"cell_type": "code",
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"execution_count": 3,
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"id": "85b1b68c",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"dnn/classification_ 100%[===================>] 21,17K --.-KB/s w 0,005s \n"
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]
}
],
"source": [
"!wget -q --show-progress -O dnn/classification_classes_ILSVRC2012.txt https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt "
]
},
{
"cell_type": "markdown",
"id": "fd0c577b",
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"metadata": {},
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"source": [
"Spójrzmy na pierwsze pięć klas w pliku:"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"id": "fb0d0546",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1000 ['tench, Tinca tinca', 'goldfish, Carassius auratus', 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', 'tiger shark, Galeocerdo cuvieri', 'hammerhead, hammerhead shark']\n"
]
}
],
"source": [
"with open('dnn/classification_classes_ILSVRC2012.txt', 'r') as f_fd:\n",
" classes = f_fd.read().splitlines()\n",
" \n",
"print(len(classes), classes[:5])"
]
},
{
"cell_type": "markdown",
"id": "5b0ee6ff",
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"metadata": {},
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"source": [
"Do klasyfikacji użyjemy sieci [DenseNet](https://arxiv.org/abs/1608.06993). Pobierzemy jedną z mniejszych [reimplementacji](https://github.com/shicai/DenseNet-Caffe), która jest hostowana m.in. na Google Drive (musimy doinstalować jeden pakiet):"
]
},
{
"cell_type": "code",
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"execution_count": 5,
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"id": "fb2bf2a1",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"Collecting gdown\n",
" Downloading gdown-4.6.0-py3-none-any.whl (14 kB)\n",
"Requirement already satisfied: tqdm in /home/andrzej/anaconda3/lib/python3.9/site-packages (from gdown) (4.63.1)\n",
"Requirement already satisfied: filelock in /home/andrzej/anaconda3/lib/python3.9/site-packages (from gdown) (3.6.0)\n",
"Requirement already satisfied: beautifulsoup4 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from gdown) (4.11.1)\n",
"Requirement already satisfied: requests[socks] in /home/andrzej/anaconda3/lib/python3.9/site-packages (from gdown) (2.28.1)\n",
"Requirement already satisfied: six in /home/andrzej/anaconda3/lib/python3.9/site-packages (from gdown) (1.16.0)\n",
"Requirement already satisfied: soupsieve>1.2 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from beautifulsoup4->gdown) (2.3.1)\n",
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from requests[socks]->gdown) (1.26.12)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from requests[socks]->gdown) (2022.9.24)\n",
"Requirement already satisfied: charset-normalizer<3,>=2 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from requests[socks]->gdown) (2.1.1)\n",
"Requirement already satisfied: idna<4,>=2.5 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from requests[socks]->gdown) (3.4)\n",
"Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/andrzej/anaconda3/lib/python3.9/site-packages (from requests[socks]->gdown) (1.7.1)\n",
"Installing collected packages: gdown\n",
"Successfully installed gdown-4.6.0\n"
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]
}
],
"source": [
"!pip3 install --user --disable-pip-version-check gdown"
]
},
{
"cell_type": "code",
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"execution_count": 6,
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"id": "27996509",
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"metadata": {},
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"outputs": [
{
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"name": "stderr",
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"output_type": "stream",
"text": [
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"Downloading...\n",
"From: https://drive.google.com/uc?id=0B7ubpZO7HnlCcHlfNmJkU2VPelE\n",
"To: /home/andrzej/Pulpit/Notatki_magisterka/Widzenie komputerowe/aitech-wko-pub/dnn/DenseNet_121.caffemodel\n",
"100%|███████████████████████████████████████| 32.3M/32.3M [00:55<00:00, 587kB/s]\n"
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]
},
{
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"data": {
"text/plain": [
"'dnn/DenseNet_121.caffemodel'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
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}
],
"source": [
"import gdown\n",
"\n",
"url = 'https://drive.google.com/uc?id=0B7ubpZO7HnlCcHlfNmJkU2VPelE'\n",
"output = 'dnn/DenseNet_121.caffemodel'\n",
"gdown.download(url, output, quiet=False)"
]
},
{
"cell_type": "code",
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"execution_count": 7,
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"id": "648ec9c9",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"dnn/DenseNet_121.pr 100%[===================>] 74,68K --.-KB/s w 0,1s \n"
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]
}
],
"source": [
"!wget -q --show-progress -O dnn/DenseNet_121.prototxt https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_121.prototxt"
]
},
{
"cell_type": "markdown",
"id": "f7294c54",
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"metadata": {},
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"source": [
"Konkretne biblioteki neuronowe posiadają dedykowane funkcje do ładowania modeli, np. [`readNetFromCaffe()`](https://docs.opencv.org/4.5.3/d6/d0f/group__dnn.html#ga29d0ea5e52b1d1a6c2681e3f7d68473a) lub [`readNetFromTorch()`](https://docs.opencv.org/4.5.3/d6/d0f/group__dnn.html#ga65a1da76cb7d6852bdf7abbd96f19084), jednak można też użyć ogólnej [`readNet()`](https://docs.opencv.org/4.5.3/d6/d0f/group__dnn.html#ga3b34fe7a29494a6a4295c169a7d32422):"
]
},
{
"cell_type": "code",
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"execution_count": 8,
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"id": "6fd2d6b3",
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"metadata": {},
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"outputs": [],
"source": [
"model = cv.dnn.readNet(model='dnn/DenseNet_121.prototxt', config='dnn/DenseNet_121.caffemodel', framework='Caffe')"
]
},
{
"cell_type": "markdown",
"id": "fe22fd6f",
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"metadata": {},
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"source": [
"Spróbujemy sklasyfikować poniższy obraz:"
]
},
{
"cell_type": "code",
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"execution_count": 9,
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"id": "6ace4606",
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"metadata": {},
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"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"image = cv.imread('img/flamingo.jpg')\n",
"plt.figure(figsize=[5,5])\n",
"plt.imshow(image[:,:,::-1]);"
]
},
{
"cell_type": "markdown",
"id": "e51db3ac",
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"metadata": {},
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"source": [
"Aby móc przepuścić obraz przez sieć musimy zmienić jego formę reprezentacji poprzez funkcję [`blobFromImage()`](https://docs.opencv.org/4.5.3/d6/d0f/group__dnn.html#ga29f34df9376379a603acd8df581ac8d7). Aby uzyskać sensowne dane musimy ustawić parametry dotyczące preprocessingu (informacje o tym są zawarte na [stronie modelu](https://github.com/shicai/DenseNet-Caffe)):"
]
},
{
"cell_type": "code",
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"execution_count": 10,
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"id": "d4e945ae",
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"metadata": {},
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"outputs": [],
"source": [
"image_blob = cv.dnn.blobFromImage(image=image, scalefactor=0.017, size=(224, 224), mean=(104, 117, 123), \n",
" swapRB=False, crop=False)"
]
},
{
"cell_type": "markdown",
"id": "625aebdd",
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"metadata": {},
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"source": [
"Ustawiamy dane wejściowe w naszej sieci i pobieramy obliczone wartości:"
]
},
{
"cell_type": "code",
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"execution_count": 11,
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"id": "753333a1",
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"metadata": {},
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"outputs": [],
"source": [
"model.setInput(image_blob)\n",
"outputs = model.forward()[0]"
]
},
{
"cell_type": "markdown",
"id": "34316ddb",
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"metadata": {},
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"source": [
"Wyliczamy która klasa jest najbardziej prawdopodobna:"
]
},
{
"cell_type": "code",
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"execution_count": 12,
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"id": "13423a6d",
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"metadata": {},
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"outputs": [],
"source": [
"outputs = outputs.reshape(1000, 1)\n",
"\n",
"label_id = np.argmax(outputs)\n",
"\n",
"probs = np.exp(outputs) / np.sum(np.exp(outputs))"
]
},
{
"cell_type": "markdown",
"id": "874c1b1d",
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"metadata": {},
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"source": [
"Wynik:"
]
},
{
"cell_type": "code",
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"execution_count": 13,
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"id": "ec75a3c5",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"99.99 %\n"
]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.imshow(image[:,:,::-1])\n",
"plt.title(classes[label_id])\n",
"print(\"{:.2f} %\".format(np.max(probs) * 100.0))"
]
},
{
"cell_type": "markdown",
"id": "3808c42c",
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"metadata": {},
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"source": [
"# Wykrywanie twarzy\n",
"\n",
"Do wykrywania twarzy użyjemy sieci bazującej na [SSD](https://github.com/weiliu89/caffe/tree/ssd):"
]
},
{
"cell_type": "code",
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"execution_count": 14,
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"id": "3c0df387",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"dnn/res10_300x300_s 100%[===================>] 5,10M 801KB/s w 6,4s \n",
"dnn/res10_300x300_s 100%[===================>] 27,45K --.-KB/s w 0,02s \n"
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]
}
],
"source": [
"!wget -q --show-progress -O dnn/res10_300x300_ssd_iter_140000_fp16.caffemodel https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180205_fp16/res10_300x300_ssd_iter_140000_fp16.caffemodel\n",
"!wget -q --show-progress -O dnn/res10_300x300_ssd_iter_140000_fp16.prototxt https://raw.githubusercontent.com/opencv/opencv/master/samples/dnn/face_detector/deploy.prototxt"
]
},
{
"cell_type": "markdown",
"id": "c6142f6e",
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"metadata": {},
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"source": [
"Ładujemy model:"
]
},
{
"cell_type": "code",
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"execution_count": 15,
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"id": "60d41efb",
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"metadata": {},
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"outputs": [],
"source": [
"model = cv.dnn.readNet(model='dnn/res10_300x300_ssd_iter_140000_fp16.prototxt', config='dnn/res10_300x300_ssd_iter_140000_fp16.caffemodel', framework='Caffe')"
]
},
{
"cell_type": "markdown",
"id": "ad612cc6",
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"metadata": {},
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"source": [
"Będziemy chcieli wykryć twarze na poniższym obrazie:"
]
},
{
"cell_type": "code",
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"execution_count": 16,
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"id": "b404d8c4",
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"metadata": {},
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"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 504x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"image = cv.imread('img/people.jpg')\n",
"plt.figure(figsize=[7,7])\n",
"plt.imshow(image[:,:,::-1]);"
]
},
{
"cell_type": "markdown",
"id": "a77f8e64",
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"metadata": {},
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"source": [
"Znajdujemy twarze i oznaczamy je na zdjęciu (za próg przyjęliśmy 0.5; zob. informacje o [preprocessingu](https://github.com/opencv/opencv/tree/master/samples/dnn#face-detection)):"
]
},
{
"cell_type": "code",
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"execution_count": 19,
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"id": "1d16f230",
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"metadata": {},
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"outputs": [
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAAHhCAYAAAB6C+hvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9S6x1S7YmBn0jYs651tr7P+dknsx78+atW1W3sAoJA5IRLtNwG4meRc9Ggg6i3MBCSDRsLCHouAdGtJAKQQMJZCFBA6GSLGgi8TAgJLAtiqpyPe8jb54853/svddac0YMGiNGxIiYMeda+z958+ZBO85Z/15rzng/xvjGiBEjiJnxFt7CW3gLb+EtvIW38BbewlvoB/cXXYG38Bbewlt4C2/hLbyFt/AWfpvDG2B+C2/hLbyFt/AW3sJbeAtvYSe8Aea38Bbewlt4C2/hLbyFt/AWdsIbYH4Lb+EtvIW38Bbewlt4C29hJ7wB5rfwFt7CW3gLb+EtvIW38BZ2whtgfgtv4S28hbfwFt7CW3gLb2En/MYBMxH9F4jo/0NEf5eI/o3fdPlv4S28hbfwFt7CW3gLb+EtvCbQb9IPMxF5AH8HwH8ewD8B8O8B+FeY+T/4jVXiLbyFt/AW3sJbeAtv4S28hVeE37SG+V8A8HeZ+e8z8xXAvwPgX/oN1+EtvIW38Bbewlt4C2/hLbyFu8PwGy7vLwH4x+b3PwHwn2sjEdHfBPA3AWA6HP6zP/u9n4PKS9RfKb+j9I7SSyo/QDY+aVz5rnEpp6E6LghaSC6DCM45EN0vczBHxBi0tgAzGAAzV5/1c8DuA2grifQDDMOAYRhy/e6sEThGhBgB5pxzU1BduH2u/Qe8ui9KFVKbIe20hZXND+kP80+Oq49Y/sl/q5RsmpEytUWZJ025vepuv7T578Z5RQSpvz6k1RC1QVfDrXJuzpJXTKPNqHat7mZAm+91Pda/7XtqIxt6YF60XUcm5sZ36sxzKN2o6mHoTv/L9wt2rlfzvKwbXUMx6vootAMcwaY9UntG5AhmRowRMf2VJno45+CIQI7gNCEzQow5PiUahESHqn7SckxH5a+dybk9X+sElr5pmZZOSApO/cS516Rsl2nmFnHjTAfLmmtpSr/WZo5ZHkEEcg7e+8+gj7xBTsoYm4rXtLB5r9/zs6pJXPdhfld/b+vCHVpa1a/+uX5eqt5t37rbK4LdPq3z/6yNc0Nndybp5+3Jf/5O/po6sn0JS2dWFGeDBFH7q8v6W6ylz7jCRCXOKtc+XquwFK3elXyoSUMdmmxpe12+rltKtOxeevwP/sE/wC9/+ctu5N80YL4rMPPfAvC3AOCv/OEf8r/+3/nvwjkhNgUkUgat3jn4RAwdEbzz8t07OEfw3mMgB+cA74UZDN7D62cQgjY6/e5yPI0j3+XjnAMcYRgGPDw8YByOKAO/MSjMYEQsywXnl5fCqGLEEmbM8xXzPGO+LrheFyxLwDwv8gnCCJVAaZuHYcA0jfjyy0f8/Oc/x+n0aBjCZt+mvxHz5RlPnz5gWRYADoQCepkZTLQivm3fO+9wPB5wODyA0hjcMcCJyS9Y5ivisiDGWAkN+htA/q79Zb/HKH0TQqjerf9SThMS1rDvASQ2m+oQGQwCR169EyZd90sl8OhvTbfiCJbJr8cmdVGq2yJCFgEEB+d8N50V5LS+lj7kOEb66o2Vjq2tyxqk5Fwr4leBBf009dr666zQat7Z3yKUcRWvpQsK9Bxxim+eOweA4dyahmhc+U45jr7L6Z0Hmbi9OubWN23p9+F+kLm4IISQxiSCQ0AMC5blihgilkXehxAwzzOWJeRPCEJfYgzwnjCm/oox4Pn8Cc/nFzyfX3CdGTEIWB78iGHwOBwnnI4HHA8TPBghzHg6v+D55Yp5YTga4Acv9NYVOil9V/dpr91ljpGsNV3vTOa9MGjnAU8OLsWblwUzExgORAPeHQ4YBwfwAlrOWJYLlnDBHC5gMLwfMY0nDMMBwzDmdSS5cyVwM2tdGHYTNqa1UwR8pYn6EXBMiX9M04RpGOGnEV999RWOp3dFyNgZb0DoUgihfZlojNLBPboY85xpaaN8sIrf0t82TTBptK4iPBV6tUUPK3rOjNjQ0Bbcd+lp59kqjXlO5l1v3m0+7w9MHc+O4Q0liUSJ2Bp2y1t7YQ1EEw3MSLHmzW06auKs39e0FClvt0GLKdFQS/8A5N8lvj4DnF/T00Iv+t/bv70POZ9pDUBVm+2cm6YDjocTAK1jv6+ZGX/jb/yN/kDhNw+Y/ymAv2x+/0F6djO0oKCdHGWyCzByzgno0Y5zhBgBIlns0TlQjJJHoksOAEK9FmxZMZZJTxgQloCnp094fHQYh0OqCHakOofBn3A8AufzSzMJUbQEaAhZZIQQ6z5AaheA42nCOI5JEt2YCFbTyhHL9Yynjx9xvZ4B8nCU2AYXYsgGOHGzKJ1ziDHicDzgcDjeB5a55MS8YJ4vCMsCxDVI7oHnlphb4r8FuMtv+6wm8AUg1mC3qnbblJaANsGCzgxiM7GnzXR1HiWvVqBvQW1+1qljPS61FjA9gs39FgG3wfIOtoSZgXVBqPq7+quZmba0dWHmqqo6zkro81hDmEpkznBH4xIxYqwZhAIAndMq0FgGYjuLTNwWEFZ9l+aRbedr+lfBUQgzQghSMsuukIDmGiwvSfCMMdQCJQORAWJCCGn9LwHLQpgXIEQP5zwcOYC8MBsG5iXALwFEMxzJ+ER2gBvhPCSNc0AWRrTiwrw4AuRK/1r6reswJagAM6f+t4CZwRBZnpJgcMX5esESgGk8ITjCAA/wjHk+43p9lr8hgJwoFoT2B8QAeM8AiaAmwmW9i1XqFvP3CDNF2QIygEjnfYQjJI2y0ONlDvjw4ROIRhyPx874c85Hx137LNci7wIiK0/6tLD/WcfdEPIbsFx+c1WuncftnO391WYWpcN2aAH01vN2PVXPd+rYPm9Zdg9XIPHoil69Iuwt9T060FVqwGVeT4grlt/jDXv5b9ElpclVHbhM/MgRxDUdtaBZ82QAFAG4NV/fqvMtoUbr5yqNdU2HtR4xBlwuZwDA8XACs0c9gkpjboffNGD+9wD8dSL6axCg/C8D+C/tJ1F5ylWNlHGT58xAFKUvWD/6n/xAYDZqecrMDjFmprZApHsFsExApGgmlSuEkYJGwMvLJ9AJGIZDIv1bC0DQhfMTnLsWRs0JYERGDKoZEu1QYMaStKKUQZ6k8wBCYDy9XBA5gJP2bROxp45b5id8+vAel/MlA12Zh6KJtX2s1Za32hcAOGA6HjEdJshZzntCmpRxRliuiGEBOOatYSmTV4uq/SvEG+ZvX7PMjMQYCBExMTwGkgYpTQ1pG4tAIdUQTWSKagQZ7ZfYJdYFctffJegcKsx4j7Apzdd5p+OhU5jBqW4SuYDVPkg11ehuWd6v8+y1KRdUKm9A7ZYmuwciGQxiWfUOrnpfGJUz5VlNX8kzsKwrBuArJk253jEyFOfVoE60pIWeG8IOgHQNJrAo+bhcL6lySsMkqBG06outvin9wViWM16eP8HBwTsPR4QYA0JcEMKMJSwICyfAHIVm5B2pMt/BhLAwIgEcgSUAMzsEHuH9kOqoM0h2liILoAYAnySVJXqAgGEgEKl2J7WRgCyiJL7KrGNmaFMCwhkgokwdNpNT6h7BiNKdlGg4ByAu4LAgLgvYAcuVwAsh8oJl/oTL9YxlvgJuwjh4cCAExwACHDEiWOpOlOZrWkwJ1JX1QXm9BMNUiRmkygUdZiI4FjjjvQfgsARRPFw+XfD08if4vZ/9FA+nR7QrTudnjKEGhkp7WHiTjOtas9wCYv2tWmZ5pvSwBsd7ioaQBS5Ll3XMakXAFrhhpa1p14URc/+26W4pInoh01oiWZvmuTymDNxgntlyNP1eiBasa/6dNd0PZP4WetITAG4FJqUdWofCWyyoX5ffU6i5/F7zBBIdRulDpDmjGCpqTsxVeaU9hRcRCJEBFykhrH77WwXFljbc1lzGTczLSC0LGtBO5MAc8fLyCUDE8fBFQmlaxzI3Igc
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"text/plain": [
"<Figure size 864x864 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"height, width, _ = image.shape\n",
"\n",
"image_blob = cv.dnn.blobFromImage(image, scalefactor=1.0, size=(300, 300), mean=[104, 177, 123], \n",
" swapRB=False, crop=False)\n",
"\n",
"model.setInput(image_blob)\n",
"\n",
"detections = model.forward()\n",
"\n",
"image_out = image.copy()\n",
"\n",
"for i in range(detections.shape[2]):\n",
" confidence = detections[0, 0, i, 2]\n",
" if confidence > 0.5:\n",
"\n",
" box = detections[0, 0, i, 3:7] * np.array([width, height, width, height])\n",
" (x1, y1, x2, y2) = box.astype('int')\n",
"\n",
" cv.rectangle(image_out, (x1, y1), (x2, y2), (0, 255, 0), 6)\n",
" label = '{:.3f}'.format(confidence)\n",
" label_size, base_line = cv.getTextSize(label, cv.FONT_HERSHEY_SIMPLEX, 3.0, 1)\n",
" cv.rectangle(image_out, (x1, y1 - label_size[1]), (x1 + label_size[0], y1 + base_line), \n",
" (255, 255, 255), cv.FILLED)\n",
" cv.putText(image_out, label, (x1, y1), cv.FONT_HERSHEY_SIMPLEX, 3.0, (0, 0, 0))\n",
" \n",
"plt.figure(figsize=[12,12])\n",
"plt.imshow(image_out[:,:,::-1]);"
]
},
{
"cell_type": "markdown",
"id": "590841cd",
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"metadata": {},
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"source": [
"## Punkty charakterystyczne twarzy\n",
"\n",
"W OpenCV jest możliwość wykrywania punktów charakterystycznych twarzy (ang. *facial landmarks*). Użyjemy zaimplementowanego [modelu](http://www.jiansun.org/papers/CVPR14_FaceAlignment.pdf) podczas Google Summer of Code przy użyciu [`createFacemarkLBF()`](https://docs.opencv.org/4.5.3/d4/d48/namespacecv_1_1face.html#a0bec73a729ed878430c2feb9ce65bc2a):"
]
},
{
"cell_type": "code",
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"execution_count": 20,
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"id": "8534a399",
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"metadata": {},
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"dnn/lbfmodel.yaml 100%[===================>] 53,76M 852KB/s w 73s \n"
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]
}
],
"source": [
"!wget -q --show-progress -O dnn/lbfmodel.yaml https://raw.githubusercontent.com/kurnianggoro/GSOC2017/master/data/lbfmodel.yaml"
]
},
{
"cell_type": "code",
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"execution_count": 21,
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"id": "c2971f10",
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"metadata": {},
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"outputs": [],
"source": [
"landmark_detector = cv.face.createFacemarkLBF()\n",
"landmark_detector.loadModel('dnn/lbfmodel.yaml')"
]
},
{
"cell_type": "markdown",
"id": "761dbc15",
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"metadata": {},
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"source": [
"Ograniczamy nasze poszukiwania do twarzy:"
]
},
{
"cell_type": "code",
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"execution_count": 22,
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"id": "39215601",
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"metadata": {},
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"outputs": [],
"source": [
"faces = []\n",
"\n",
"for detection in detections[0][0]:\n",
" if detection[2] >= 0.5:\n",
" left = detection[3] * width\n",
" top = detection[4] * height\n",
" right = detection[5] * width\n",
" bottom = detection[6] * height\n",
"\n",
" face_w = right - left\n",
" face_h = bottom - top\n",
"\n",
" face_roi = (left, top, face_w, face_h)\n",
" faces.append(face_roi)\n",
"\n",
"faces = np.array(faces).astype(int)\n",
"\n",
"_, landmarks_list = landmark_detector.fit(image, faces)"
]
},
{
"cell_type": "markdown",
"id": "56aa90c9",
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"metadata": {},
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"source": [
"Model generuje 68 punktów charakterycznych, które możemy zwizualizować:"
]
},
{
"cell_type": "code",
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"execution_count": 23,
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"id": "6d3ab726",
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"metadata": {},
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"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"image_display = image.copy()\n",
"landmarks = landmarks_list[0][0].astype(int)\n",
"\n",
"for idx, landmark in enumerate(landmarks):\n",
" cv.circle(image_display, landmark, 2, (0,255,255), -1)\n",
" cv.putText(image_display, str(idx), landmark, cv.FONT_HERSHEY_SIMPLEX, 0.35, (0, 255, 0), 1, \n",
" cv.LINE_AA)\n",
"\n",
"plt.figure(figsize=(10,10))\n",
"plt.imshow(image_display[700:1050,500:910,::-1]);"
]
},
{
"cell_type": "markdown",
"id": "7cee8969",
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"metadata": {},
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"source": [
"Jeśli nie potrzebujemy numeracji, to możemy użyć prostszego podejścia, tj. funkcji [`drawFacemarks()`](https://docs.opencv.org/4.5.3/db/d7c/group__face.html#ga318d9669d5ed4dfc6ab9fae2715310f5):"
]
},
{
"cell_type": "code",
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"execution_count": 24,
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"id": "1039e253",
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"metadata": {},
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"outputs": [
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"image_display = image.copy()\n",
"for landmarks_set in landmarks_list:\n",
" cv.face.drawFacemarks(image_display, landmarks_set, (0, 255, 0))\n",
"\n",
"plt.figure(figsize=(10,10))\n",
"plt.imshow(image_display[500:1050,500:1610,::-1]);"
]
},
{
"cell_type": "markdown",
"id": "db16a1bf",
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"metadata": {},
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"source": [
"# Zadanie 1\n",
"\n",
"W katalogu `vid` znajdują się filmy `blinking-*.mp4`. Napisz program do wykrywania mrugnięć. Opcjonalnie możesz użyć *eye aspect ratio* z [tego artykułu](http://vision.fe.uni-lj.si/cvww2016/proceedings/papers/05.pdf) lub zaproponować własne rozwiązanie."
]
},
{
"cell_type": "code",
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"execution_count": 13,
"id": "c42761a1-7b91-44c9-ae99-c3fa41ad62fe",
"metadata": {},
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"outputs": [
{
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"name": "stderr",
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"output_type": "stream",
"text": [
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"/tmp/ipykernel_23191/4001600823.py:74: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n",
" plt.figure(figsize=(8,11))\n"
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]
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},
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{
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"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
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"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
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"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
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{
"data": {
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"text/plain": [
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"<Figure size 576x792 with 1 Axes>"
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]
},
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"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAAB5xklEQVR4nO29aZBd53ke+Jy771vvt7uBxk4RJEiC4GJSlBjRlkjZjuyy7NiTcmzHKVel4lRSmZSjOH/yw1PljGvi0VSmknjGcazYshTKdMRQFCWZFiVKIrgABLE3utH7crtv331fz/y4/bz93oNuoIEGyB6rvyoUum/fe+53vvO92/M+7/sZpmlib+yNvfG3f9g+6gnsjb2xNz6csSfse2Nv/JiMPWHfG3vjx2TsCfve2Bs/JmNP2PfG3vgxGXvCvjf2xo/JuCfCbhjG84ZhjBuGMWkYxhfuxXfsjb2xN25vGHc7z24Yhh3ANQA/BWABwLsAfsU0zct39Yv2xt7YG7c17oVlfxzApGmaU6Zp1gF8BcDn7sH37I29sTduY9wLYR8GMK9+X1h/bW/sjb3xEQ7HR/XFhmH8FoDfAgCn0/loT0/PZu+5nevdtbndy2vezcH5MRS7l/P9caRV3+173u71bva+RCKxZppm3518/70Q9kUAo+r3kfXXuoZpmn8E4I8AYGhoyPyN3/gNAIDN1nE2uHH5u37tZj9bX9vsb/qam43NPmu9zlYPxDAMmKYJwzC2JXx3KqD6+qZpwjTNW97X3Rr8Pt4nX7vZ4Lrc7JqbfeZW792pQG7n81u9p91ub+v9m813q9f4b7PvME0Tv//7vz97ywlvMe7F7ngXwBHDMA4YhuEC8MsAXt7WZJSgG4Yhv9/sgdyuoN9q3Ox6t3ONe+Vp6H8f1bDOYzvz2Y4y2Owzm/37sMdW92az2TZVsNb332pPWffrvXq2d92ym6bZNAzjtwF8C4AdwH8xTfPSrT5ntej6hrdrsW5l7W92rdsVIG3RrFbrXlj0W83voxD+rTb1nQrknXx+ux7X3fzOuzU283a0Z0hvjdZ9p8/4nsTspmm+CuDVO/38zdx17TpuR7j1uBdu7r3Wxrz2hynot3K5N3vPzYTOukZWC303BW6ruW/nnj6Mcav53ct5fmQA3WZjOxv6XsXBW33mXoCEtzs/reDu9tCb63a+41ah1U7me7vCr+9hK0u503G719lMGd7J/dzNsSvpslvFb5u9Z7sb62ZWfaeCtJ057DTWvpdWSc+p3W5vKxbfqWLWf9sqFrfZbDd4b7fCCu4G5rKdOVvneTvv3+57+Le75ZHuKssO3P5G2c64laDfqVW/V5b8bn3Weg0req6RXr1GW3kS2nrqddvMM7gZ4HYn879TF/due0WbzWErVP5ufsfdGLtG2G9HU9/qOndrPnfje+50Pjt1hTf7fsPoZDhM00Sr1drUcpimiWazCYfDccPftxLWna7FrUICK05zpwJvGMamYNeHHctv5eJbQ6q7HcPvOmHnz/zfajVux+LfqftzNwT9XgJ2t/vdXEO73Q6gY4mazSZarRbsdjsajQZarRYajQYcDgdcLhcqlQp8Ph9cLlfXda0psNvJnW8nPLvV36z7YbPfNxOQm+ESd4IR6PdrxHyz91oF2PrzdsbNvmO7Y1cI+51ahlu5jdu53r0Qyp267ffC7WROuF6vY2VlBdlsVixdPp9Ho9GAYRhwOBzweDwwTRMOhwPhcBihUAihUAhOp/MGi3ingqJ/b7fbd/z5re73duelP3snQxsWq1DeiZDfC1d+Vwi7HtsFWG4l6Nthye0ELLvTOP9m89np5zezpIZhiEVPpVKYmJhAJpOBYRhwOp3weDyw2+0oFouoVqsIBALy+Vwuh+XlZbRaLYTDYRw8eBCDg4NyPW3pbyVct/LI7sQ1v9Oh522d21ZekXW0Wi0BELdivG31nTqsuFn2gNb8bgn+rhH2nQrP7bg5mwFWtzPutjdwr+Jz/qvX65iensb8/DxqtZrE5A6HA41GAzabDQ6HA5VKRYA7j8fT5Q0sLy9jZWUFBw8exLFjxxAIBDalfG6mAG5n7ncrTXaza+mMg54r8Qp6MFsRphqNBsrlMoLBYNc91ut1tNttuN1u+R7rvBqNBprNJrxe75apuZ24+zcbu0bYreN2XfutkOWdDOuGvdmcNgNYtjvuttsObKStarUaxsfHMTc3BwASk9vtdrHQrVYL7XYbXq8X7XYbxWJR3sdhmiaq1SquXbuG5eVl3H///RgbG7tByd4JqGS1cttZQ+t3bCcm56jX66Lg9N9arRaKxSLC4bBgGQ6H44brVCoVEXY9l1KpBJvNJsKuB9epWCzC6XTefEHu0diVeXZga5aV9ee78T03u+520kXbAausY6du+82uS0HPZrN4//33sbCwgGazKf+ADV53u91GrVZDuVyG3W5Hb28vfD6f/E1bPnoDlUoF77//Pt577z2Uy+UtwdU7mftm/27ns9bXms2meC/a7dbZCD3fUqmEWq0G0zSRz+flffq9xWJRrsnXW60WCoWCvHcz41Or1ZDP58Vz0M+q3W5v6pnq792pEdtVlp03PzIyItqv2WxidXUVtVoNHo8HPp8PmUym63P9/f1Ip9Nwu93weDzyd8Mw0NvbK39zOBwoFAoAOgvX29uLVCqFSCSCYrEIwzAQDoeRTCbl2j09PSgUCgJg9fX1we/3o1gsYm1tbdNUjt7wfX19SKfTaDab6O3tvcEaFAoFpNPpG9YiFoshFAp1vZZKpRAMBsXiNptNpFIpVKtVuWYsFkO1WsXy8jLOnDkDr9cLn8+Her0un4tEIrDb7Ugmkzh+/DgcDgeazSY8Hg8cDgcuX76MWq0Gm80mHoDdbketVkO9Xsfo6CgqlQpmZ2dRKpXw6KOPIhQKweVyda2/aZqw2+3o6emBw+HA2toa6vX6LffAVkr3dgfXuFKpwOl0imDZ7XaUy2W43e4bYuRarYZCoQCv14tcLgev19tliVutlryuv6dcLqNSqaC/v3/TubTbbeRyObTbbXkO/O52u41qtSpzvFdjVwk7AASDQfzSL/0SWq0WWq0WHA4HisUiXnrpJezbtw8PPPAAvvzlL4u1CQQC+PznP4+XXnoJBw8exIkTJ/DlL38ZxWIRfr8fn//85/G1r30Nhw8fxsDAAF5++WUYhoHHHnsMJ06cwIsvvojPfvazePfdd9FqtfD888/jxRdfxOrqKhwOB376p38ab731FqampvDYY4/h1KlTEvO+8847OHPmzJbeQSwWwy/+4i/iW9/6FqampnDy5Ens379fNkqlUsH09DS++93v3nCNT3ziE4jH46jVavL65cuXceLECbFMtLKvvvoqUqkUnE4nXnjhBUxOTuK1115DJpPBP/7H/xgOhwN/8Ad/gHa7DYfDgd/6rd9CPp/Hl770JXzhC19As9kUxL5SqeCLX/wi5ufnb2CwuVwuPProo/id3/kdvPjii/jzP/9z8Ro+85nP4NOf/jRcLhdeeuklNJtNuN1uPPvssxgbGwPQUVbf+ta3ROFud2wVFmwnzqciq1Qq8Pv9AkzSo/F4PF1eBBVwLBZDLpdDJBLpwicajYYIOz/TarWQyWTgcDhEMdAz4ho2m02sra2J4qORaLfb4h05nc57mvPfdcLOBX/xxRfFIv/CL/wCTpw4gXw+LzEUvQCbzQan0wm73S7W+umnn8Z3vvMdcT0ZnzkcDtjtdpw8eRKPPvooXnvtNZTLZfl8u91GIBDAs88+i7/6q7+S9JPdbsfg4CBOnTqF119/HbOzsxgbG8OnPvUpzM/PY2VlZdN7OXLkCLxeL+677z5cv34d3/3ud+FwOPDss8/CNE1873vfQ6vV2vQB22w2vP/++zh79qy85na7ceLECXzzm9/E6uoq3G43PvOZz+CBBx7A97//fcTjccRiMQwPD4sFtdlsePTRRxGLxZBOpzE4OIiHHnoIb7/9Nux2O0zTxB/+4R+iUqmg1Wohn8+jUCjcEJrYbDbcd999+N3f/V2EQiG43W5ROvl8Hk899RT6+/tRKpVECA4dOoTR0VG
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAAB7OklEQVR4nO29aZCl51Um+Lx339fc99pVklWSrBVLeEF4kfE0YDcGhqDB0NFLNAR0D9HQ8IcfMxHAxPQM00x0NwQQ0BgbY9oMduNFtpCRrbVUJan2Jff93sy779s3P24+J8/9KqtUVVkl5dj5RmRk5l2+5f3esz3nOec1lmVhf+yP/fG9Pxzv9gXsj/2xP96ZsS/s+2N/fJ+MfWHfH/vj+2TsC/v+2B/fJ2Nf2PfH/vg+GfvCvj/2x/fJuCvCboz5mDHmkjHmqjHmN+7GOfbH/tgftzbMnc6zG2OcAC4D+DCAJQCvAfhpy7LO39ET7Y/9sT9uadwNy/4YgKuWZc1YltUA8HkAP3oXzrM/9sf+uIVxN4R9FMCi+n9p67X9sT/2x7s4XO/WiY0x/wLAvwAAt9v9cDKZ3Okzd+I8uz7G7R7fsqy7fv7v97EX6N43cw07fcayLFiWhU6n0/OaMQYOh+Oav9vtNjY2NjYsy+q/neu8G8K+DGBc/T+29VrPsCzrDwH8IQAMDw9bP//zP98jGA6HQ/7Xr+vXdhIm+2d3+u5uhsPR6wzd6Pi3Iux3SinczMLjvPCc+jvXW5T2a9Sfe7tr5zzo37u9h1v9jhao2zn2jY5/vfnj3/y+FmwKb7PZRLPZRKfTgWVZaDabcLvdcLvdaLVa8Pl88Pl8aLVayOVy+KM/+qP5272Pu+HGvwbgiDHmgDHGA+CnAPzdrR7ELuh6cd6MoNv/v1sW9kYL4WbOaVdId3PQSlCRcvHpRajnmIqN16gXrx47zYF+bSelfTfu7XpjN4K+m3Ez922MgdPphNvthtPphMvlusboAW+vcG5m3HHLbllWyxjzSwC+DsAJ4E8syzr3dt/b6QZv9Lm3Wzi3u7AcDgc6nY78vlvjdq5vJ0tsH3T57J/R1lwLOo+pBZvfdzqdMMbIPNgX3k4Cbh+3E8rcjPW/lbHbZ3kz836zx9hp6PXe6XTgdDp7FKXD4UC73b7tc3PclZjdsqy/B/D3t/v9nay6/q3/3snFvFX33b4YOPn2h3A9JXSzFvx2x04eza1YTc6Htui1Wg2WZaHRaKBcLsv9OZ1OOJ1OhEIhGGPE0tyMYF9vaIF/t2LsOyHwWvHd6HM73SNf5xpqt9ti1e2CzM86nc4bGr5bHe8aQHe9cTMCdTfc953Oez1v405bnp3Oq4XZfj/Xe0+PnbAFvlYoFLC2toZ8Pi9CT4+gXq8jFovB5/MhFAohFArB5XIhFAr1WHp+HuhVuPaY1R7nv5tCfye8tVt99vbPv933tfdE5WyMQbvd3ntu/G7Hjaz5jT5/vf/fbtyq5rzedb2dZb2V4+9kuW/mGq73vl4wy8vLuHTpEiqVisTvbrcbLpcLbrcbPp8PlUoFpVIJuVwOAFCr1RCJRDA1NYX+/v5r3Eo7ngK8vTDfDYV5t5XwbsfNXJ+eSz4fO2J/u2NPCfutCt5Oruytuu93Ytxp4OlmEfWbeZ/WoVqt4tSpU1hfXwcAQXw1GszPExUulUrw+XxwOBxIpVJYW1vD5OQk7r33Xng8HhF4gnzXuya+904Ake+k13W91250DToU4//X8zj4Gc7vbsf3bCHMzSwsPcH2yd7Jcu8GVLvZcSdQV31uYwzq9TpOnjyJTCYjqRwAaDabcDqd8Hg88hrPTZAok8mgXq8jFArB6/VicXER3/3ud7G5uSnn0GlSfR934tpvd87fCcVyp8b1DBRjeuDOZBT2lLDfyDLYrfj1gLkbHcc+tGW3x+Q3c613a1FRgG7X89CAHABcvnwZuVwOzWYTrVZL4r9qtYpGo4F2uy1Wmpan0WjA6XTC7/ej2WzCGAO/3w+Hw4FsNosXX3wR8/PzElveTAZlN+/bf4C35wfsdNzbndedCDA3OvdO13EzoZ9+TQu6Bvdud+wZN/56wnajibyRcrjR+7tZmDc73q340Y68r62tYWZmBuVyGU6nE61WC5Zlwe12i/ACXSvfbrfR6XQkJWdZFvx+v/zt8Xjg9/vRbrdRr9dx+vRplEolHDlyBF6v9xp3dCfX3u7C6uveKcXXarXgcrmuOYb9+/V6XXAHfk9bRvuzuFF25XrzutvU260Ce7w+PpPdjj1l2YG313Y3Grf7MN4t0sWdHnZPo1Qq4Y033sDGxoYsfv6+EWGmXq+jWCyi3W4jFAoJg8vpdCIQCCAYDMLj8aDZbOL8+fM4ffo0KpUKgN58PY9nv0a+brfUrVYLrVar5/OVSkU8C/40m82e71uWhWKx2KOkyuXyjiktApXlcvmWreWtkKeu99rNeDG8NypsO+HpdseeE3aOt3Ppd3PjnDytMe+0wN8umeROhAYU6vPnz2NpaQnGGASDQdRqNbHstM6VSgX1eh0Oh0MsdygUQjgcRjweRzQaFetYr9fRbDbhcrng9Xrh8/ngcrmwuLiIs2fPotls9jD0droXvtZoNETxaOVTrVZ7QgPyALT7XSgU0Gq15LVWq4VyudwDdpXLZTmf/TfvWYOYHNcT6Dvppd1KmAjgGo/ndseeEfbrTcDNTowdJHq779GNu9VY/Vau6WaHvv5buQb9efv/KysruHz5MtrtNoLBIHK5HBqNhsTq+XwejUYDLpdL3HvG9MYYhMNhsep0i6vVKtrtNhqNhjC9+P2lpSU5342UlrbGFGwOl8sl1l0LbqFQEAXQ6XTkXvj8qtUqisWifIfeAJWUPnen00E+nxcCEQePbfcs9Hfv5tCeld3juFPZjD0h7DtpX/6+Xnyn/74Z4ONG42ZBm1uZ8FuNz+7E4PXV63VcuHAB5XIZgUAA5XJZFnG73RaSTDAYlAXPogyy55LJJJLJJDweD4LBIFwuFzqdjnyfcTSVpjEG09PTSKVS4k7fCKX3eDxoNBo9FpbKQ1tlt9stws3PFQoF+Z5lWcjn86hUKvJ/oVCAw+HoifX53VqtJilF/Tzb7TZqtdquQNEbDU0x3omNuFO4cz284XbHngHoOBwOB8bHx+F2uyU+W19fR71eh8/nQzAYRCaTAbBtEfv6+nrSSnwfAPr7++U9Lhygu7D4vVgsJpYhGo0inU7L8ROJBIrForiofX19CAaDKJfL2NjY6HH/d1I6AwMD2NzcRLvdRjKZRDgc7vlMoVBANpu9Zh4SiQSi0WjPg85kMgiHw/B4PAC6Me7GxgZqtZos3Hg8josXL2JtbQ2BQAD9/f0ol8tIp9NwuVzweDwYHByEx+NBrVbDiRMn4Pf7ZU48Hg9WV1d7BDoSicDhcCCTyaBarcLlcuHQoUO4dOmSCKzP58PBgwcRiUTg8/kkdz84OCiCBQD5fB65XE6upVQqCbgHAH6/H5ubm2g0GvD5fPB6vahWq6hUKggEAmi32yiVSqhWqwAg8TmVWa1WQyaTwcjIyDWgmGVZ2NjYEOCRg24/vZS9Mnj9dyrPvueEPRKJ4Cd/8iclHeRyuVAqlfDFL34RExMTOHHiBD772c+KkAUCAfzET/wE/uZv/gaHDh2S90ulEkKhEH7iJ34CX/ziF3H48GEMDAzg7/7u7+BwOPDoo4/igQcewBe+8AX8yI/8CF599VW0220888wz+MIXvoD19XU4nU584hOfwEsvvYTp6Wk8+uijePTRRwUhfvXVV3Hy5MnrPohkMolPf/rT+NrXvobp6Wk8/PDDmJycRCAQANAFn2ZnZ/Hcc8/1HMPhcOCDH/wgRkZGUKvV5PVz587hwQcflJjb6XSiWq3if/yP/4FsNguv14sf+ZEfgWVZ+PrXv45Wq4V/+S//JRwOB377t39bBPjf/tt/i3q9js997nP49V//dVlQVK6f+9znkEqlZLF5vV643W54PB7k83k8/PDD+Of//J/jl3/5lzE9PQ2fz4df/dVfxQc/+EG5rq985SvI5XJ44oknMDAwIB7DmTNn8Oyzz8K
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAABieElEQVR4nO29Z3Bl53nn+Ts353txL3JoAN2NTuzEDmxmUaRFKtGSLFmyrVGyq/xlPLUz6y2Pw4fx1HiqRru1nvWOt2ZKTkVZlGTJGlojiRIpUpTYbKYOJLvZGY1u5Iybczj7AXjefnGJcIEG2CCJpwoF4Nxzz3lPeNL/SYZpmmzSJm3S+58st3sBm7RJm/Tu0Cazb9ImfUBok9k3aZM+ILTJ7Ju0SR8Q2mT2TdqkDwhtMvsmbdIHhNaF2Q3D+KhhGJcNw+g1DOOP1+Mcm7RJm7QyMtY6zm4YhhW4AnwEGAJOAr9tmuaFNT3RJm3SJq2I1kOz3wX0mqbZZ5pmAfgu8Kl1OM8mbdImrYDWg9nbgEHt/6G5bZu0SZt0G8l2u05sGMbvA78PYLfbD9fV1a32OGuxllV9r1KpvOMYpmlSLpcR96hcLlOpVKhUKhiGgWmaat9SqUS5XAbAYrGoYxqGMe94FosF0zTVMeU4VqtV/VgsFsrlMoZh4HA4MAyDUqmEzWbDMAxsNhtOpxO73U65XKZcLmO1WtUa5XiGYVCpVMhms6RSKex2u1qnx+PBbrer/WRNpmmSz+epVCpYrVZ1X0qlkrqubDaLzWbDbrdjt9sxDAOLxYLVasVms1EsFsnlchQKBUql0rz7JNct1yp/22w2LBaLul8Wi0Wdb7FnKseVY1a7sYttXw9azTlGR0enTNNsWM351oPZh4EO7f/2uW3zyDTNbwDfAGhqajJ/53d+Z1VMJw8XmMckKzmWfoxqWug4wgyFQkG93PoxUqkU+XyeVCpFIpEgk8lgs9lwu90Ui0W8Xi8A8XickZGReQzhdDoVE7jdbrLZLLlcDq/Xi8ViwWazYbPZqKuro6mpCcMwaGtrIxaLMT4+TmtrKy6XC5fLRSKRIBgMMj4+TnNzMx//+McJBoNcuXIFmGWYoaEhCoUCjY2NhEIhMpkMmUyG119/nV/96ld4PB7q6upwu91YrVY6OzuJRCJUKhU8Hg+RSISJiQlOnjxJKBTivvvuY3p6mitXrihB5fV6uXr1KgDd3d24XC7F1NPT08TjcdLpNNPT05TLZRwOB/l8HqfTSSaTUcKjo6MDj8cDgMfjIRAI4PP5cDqduFwugsEgHo9HCYBq4agLKBFw8iMCWdZcLBaVoF4pLcXE+meLCZrqbfr2//Sf/lP/ihc0R+vB7CeBHsMwupll8t8Cfme5L62Fhl7NsZbat1rLWq1WpYFmZmaw2+14vV61vVwuY7FYKJVK5PN5pW2KxSKlUolMJqNeRgCv10tDQwPJZJJUKoVpmmSzWVwuFzArhFwul9KqoqllbaZp4nQ6MQyD9vZ2vF4vmUyGdDpNJpPBYrEQjUaJxWJ4vV6mpqbIZrOYpkkymWRqaopyuYzL5SKTyRCJRIjFYly5coVz586p6+ns7OTAgQMUi0VOnDhBKpXiwIEDeDweotEowWCQhx56SGn35uZmPB4P6XSacrmM3W7HYrHg8/nI5/P09fXR19cHzArGSqWC3+/H7XZTKBSURSFML2vO5/M4HA58Pt88S0aYu1QqkUwmAXC73RiGoawe3UrQFYJhGIrxdWa3WCzKUpHv1cr4uqDR6XYXna05s5umWTIM4w+AZwAr8PemaZ5f6/OsFekPX98mpqthGLhcLiqVCsVikWKxSDweB1BmrexbLpcpFArK1M3lcsAsUycSCfUCWSwW9VIKQwHY7XYKhQKZTEZpNYfDobS0x+PB4XAwNTWFx+NR1oXL5VLrLJVKVCoVIpEITU1NuFwuJicn6e/v5/r164RCIaVNnU4npmkyMTFBoVDg9OnTXLhwQV2n0+kklUpx8eJFrFYrjzzyCF/96ld58cUXefnll/nYxz7G9u3bmZmZIZPJ4PV6yWazZLNZkskk2WwWj8dDPB5nYmKCEydOYLFYaGpqIhgMcvHiRWXSi4DyeDz4/X5sNhvNzc1UKhXy+TwAuVyOXC6HaZp4vV7F9E6nE5vNpoRzqVRS65fPhelFSMgzFpfEbrdTqVQol8uUSqV5DCtMLs9vvWghIbGY4FgNrYvPbprm08DT63HsxWi1lsFC3xMpLi+C7GeaJrlcDsMwCIVCSuuKTyxM73A41AMShnI4HJRKJRwOB9PT0zidTqXxARwOB8lkUgkfYXrTNHG5XPj9fkqlEvF4nEqlQiaTYWZmBr/fz/T0NFNTUzgcDmVad3d343a7CYfDxGIxCoUC6XSaYrHIwMCAcjGEMUWT+nw+XC6X0sblcplcLseNGzd49tlnuffee3nwwQeZmZnh+PHjBAIB9u3bR1NTE9lslnQ6TSwWo1QqEYlEiEaj9Pf3k8lkqK+vZ3R0lImJCeVqCGNlMhlg1pWRe+Lz+ZTmF8vGYrGQSCTU/QeUxaOb3fl8HtM0FROLQJR7LUJX99FtNpsy8XUM5f1Ctw2gWwtayteuJp2pdUm5GLM7HA71sgNK6sPsy+J0OtW+xWJx3osk2jYcDpNKpRgcHFSmvWhr8b/FvC4Wi9TV1RGNRuf5i3a7nXw+T6lUUuCay+UiFoths9nI5XJks1nsdjtbtmzhwIEDZDIZuru7sdvtjIyMqONPT09z48YN4vE4LpcLr9dLU1MTLS0tigEEUxCTtlQqUSgUlHZ8/fXXaW1tpaOjgw9/+MM8//zzHD9+nEOHDtHY2KisE9HIDoeDSCTCrl278Hq9PPXUU8rcLhQKFAoFbDYbDocDq9VKuVymWCxSqVTI5XIK63A4HADKEhDmFKugUCjgcDjUfqLpxUoRLW6xWJSF4PV6lZCuBk/1d0wY/r3O+O9ZZl+I0ZfS7guZ6tXbdABHl/o6w8NN313/TDQ8QCwWIx6PUy6XaWpqUtpVrAJxC6xWK3V1dYRCIW7cuEEul1MCRrSLuAK6dgoEArjdbmZmZrDZbLhcLgKBAHv27KG3t5dgMKj8/1gsRiaTYWJiguHhYXw+n/KpRZPpiL4g9larVWlYuUabzYbVaiWVSjEwMEB3dzdHjx7lzJkzZLNZBgcHFZO5XC6KxSKxWIz6+no8Hg/hcJgDBw7w3e9+VwFigLKE3G43lUoFm81GIpGgVCrR0tLC9PQ0uVwOn8+ngEqxcsSEd7vdytKS6xKzXvYXpq5UKor5g8HgPMxFzi+af60Y/Hb76/AezI3XwytCtZjw1dpcB96qSUAb0QASEhKtI8CTvCBWq1UJCJfLpUJf2WyW8+fPMzU1RWtrqwKMEokEo6OjSos7nU4aGhoUAwjTyXFEiwlCLz6tvMxut5ujR48yNDREIpGgvb2dTCZDIpEgHo8zNjamgLPGxkbl61osFhUKEzNemMZut+NyuXC73Xi9XqVdRRCUy2X6+/u5dOkSyWSSgYEBWlpaSCaT5HI5AoEALS0tNDQ0MDY2RrFYxOFwsH37dnbt2qUEiNy3crnMzMyM0s7BYFA9o2KxqIRPKpUim82Sz+eVu1Aul8lms0xNTSlkX56jCGWxHiwWi8JBBPST8+jviFg2a43Gr4ZWYsEuRe9Zzb5S0sMw+m8hfbuAa7FYTL38gGJ43TfUkVyYBe06Ojrw+XzE43EGBwfp6ekhHo9TX19PLBYjnU7jdrtJpVLs2LFDaW8910C0isfjUVaAxWJhy5YttLS0MD4+jsvloqWlhe7ubiYmJohGoxw8eJBCoUCxWCSRSNDb20upVKK1tVUxqxxfj3XLdl3L6y+ZWBr6fSqXy4RCIRX+CgaD3HPPPVy5cgWr1Yrf76ehoYHGxkZ6e3sxTZODBw9SX1/P17/+dcbGxiiVSsrKSKVSyrSXEFsqlVLaHFCxdTHRo9Eofr9fCVeHw6H2EcEkz1/eAbkOEejyPPV9xHd/P9F7ntnXMmRXfUwdqNETSeTlKxaLitGFOVKplDIr5UWzWCyk02klBAYHB8nn80Q
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAABirklEQVR4nO29eXBc93Xn+7m9743uxr6QILiv4iKJNE3tkS1bkp3EcuTE49hOauaf8cy43nuVcSZTM5maTFXmvXp5L6n3KlNO4jdW7HiJdyuObMmSRUnUQlGiSHEHQQIgsTUa3eh9v+8P4Pz4QwtLAwRIyMKpQqH79l1+93fv+Z1zvmczTNNkjdZojX79yXK7B7BGa7RGt4bWmH2N1ugDQmvMvkZr9AGhNWZfozX6gNAas6/RGn1AaI3Z12iNPiC0IsxuGMYjhmFcMAyj1zCMr6zENdZojdZocWQst5/dMAwrcBF4GLgGHAd+1zTNs8t6oTVaozVaFK2EZL8b6DVNs880zSLwbeCTK3CdNVqjNVoErQSzdwCD2vdr09vWaI3W6DaS7XZd2DCMfwX8KwC73X4gFAot9TzLMZZFHyPmj/yXc1SrVarVqvqtUqlQrVYxTVPta7FYqFarlMtlqtUqhmGo4/V95Bj9s2EYah+r1YrFYsHhcGCaJtVqFYvFgt1uB6BcLuNwODAMA4fDgd1ux2azUSqV1DUAKpWKOp8cl06nKRaLOJ1O8vk8hmHg8XiwWq1qP7nPSqVCoVDAMAw11mq1SqVSwWazUSwW1VhsNhsWi0X92Ww2rFYrxWKRXC5HqVSiXC6reZa5MgxDXds0Tex2uzqHXFc+1/NMa5/ffJ9XipZyjeHh4XHTNJuWcr2VYPbrQJf2vXN62wwyTfOrwFcBWlpazN/7vd9bMuPKS6szzWLOJcfPRrOdp1KpkM/nKZVK2Gw29TLKb5lMhmKxSCqVIpFIUKlUsFqtuFwuqtUqDoeDarVKLBZjZGREMWupVMJutytmdTqdZDIZqtUqPp9vBsO0tLQQDoexWq20tbUxMDBAuVymqamJhoYG8vk8AC6Xi9HRUe644w4eeOABisUiV65cwW63U61WuXbtGhaLhZaWFpxOJ7lcjkwmw09/+lMuXrxIIBDA6/XicDgIh8P09PTgcDiwWq2EQiGcTifnzp3j0qVLbN68ma1bt3LhwgUmJiYoFouEQiFSqRRXr16lsbGR7u5uLBYLxWKRSqVCNBollUoxMTHBxMQEVqsVu91ONpvF5XKRz+cpFot4vV46OjpwOByUSiWamprweDx4PB4cDgder5dAIIDL5ZqxcOqLo5AsyLJYyWIsz1EWYn3RWQzNxcS12xf6Ltv07f/1v/7X/iUNipVh9uPAZsMwNjDF5J8Bfm+hg5ZDQi/lXPPtq0+ySI9SqUQulyORSOByubBareplKZfLap98Po/ValULA0Aul8PlcinG9fv9anFIp9NqH7mW2+0mk8ngcDhwu90UCgXFACLJ5GXfvHkzsViMUqlELBZT55icnCSRSBCLxYjFYhQKBUzTJB6PMzIygs1mw+FwUC6X8fl89PX10dfXx7Vr16hUKgSDQfbu3Ut3dzd9fX2cPn2anTt30tXVRalUIpPJsHXrVpqamnA4HDgcDnbt2kUikSCbzao5aGpqwu/3E41GuXz5MqOjo1itVmKxGC6XS81LOp0mn88ryV0sFikUCkr62+123G630ph0baJYLFIsFrFarTidTmBKW9GfsWma6pnJQi3nqlQqMzQE0WBkIXi/07Izu2maZcMwvgT8HLACXzNN88xyX2e5SFb/2m3lclmpoSIFq9UqhUKBZDKJaZq4XC5sNpt60SqVipLiNpuNdDqNy+WiXC6Ty+Ww2WzqBctkMsCNRURernw+Tz6fx+FwkE6n8fl8AMRiMSKRiJI4xWKRdDpNuVzG7XYTCAQUswC0trYqyd/X18fk5CRXr17FMAzGxsbIZDK4XC4KhQLDw8OMjIwQi8U4d+4c1WqVYrGIYRhcvz6llPl8Ph544AG2bt3KL3/5S7LZLA8++CDZbJZEIoHf78c0TVKpFJVKhWQyqTSReDzO5cuXGRwcJBwOE4lEuHbtGuPj40pyyRwFg0EcDgd+v18tiuVyGbvdTiKRIJfL0djYiNVqJRgMqsXKYrEocySfzyvGld9lfqvVKqVSSUlveVbC7JVK5T2Lg5hH9TL8bNrEUo9b6rlmoxWx2U3T/Bnws5U4dy3pKvxSaLbjhLGFEWU/kdKGYRAOh9UiIPvJC+N0OkkkEgDY7XacTqeS+gCTk5PY7XYymYzabrPZyGazAOplTKVSmKZJIBBQtnahUKBSqZBKpSiXyzQ2NnL9+nXGxsawWCx4vV7a2tro6urC6/USDAYZGBggmUwSj8fJZrMMDQ2Rz+dJpVIkk0mSySRutxur1YrX68XtdtPe3o5hGJTLZbLZLK+99hqFQoG7776b3/md3+HKlSt8//vfZ+fOnaxbtw6AVCpFoVAgHo/jdrtxu91Eo1FlKrhcLsbGxqhUKtjtdiWtTdNU955MJnG5XExOTmIYBvl8Hptt6jU1TZN8Pk86naapqQmr1TpD1S6Xy2rMqVRqhgbgcDjUdWUuRWWXBV+2y6Ih/+WdWAzD19JqSCW/bQDdctB8tna9NNci4XK5lHSAG9IewO12K2khGoCcx263Uy6XaWhowOVyEYvFyGaz6uWSl1eAKo/Hw9DQEFarFb/fz+TkJKZpKnXe4XCQyWSw2Wzk83lM01SLicVi4fr16wSDQSqVCrt372bdunVYrVa2b99OLpfj+vXrTE5OUiqVGB4e5vz580qq+/1+2tralC1cLBYB8Hq96l4LhQJ+v18x6i9/+Us2btxIe3s7NpuNl19+mWg0yq5duwiFQmSzWbLZrJo7u91Oc3MzPT099Pf389JLLympms/nFbM5nU4qlQqmac7QiORZOJ3OGVqQgHQwtciICSGqtyzO5XKZUqlEqVTCYrEoTaFareJyuQCUNqZjPvJ+6cz9flfl37fMrjP6QqBc7UOUh1a7v64yyYMWNVM+i5QRRFskk6z8AOPj42SzWRwOhwKSRkdH1YvW2tpKsVjE5/PhdDpxOBwMDQ0pLaFYLKrPIvFEDRUwymazMTIyQiAQwOl0sn79ejo6Oujr62Pjxo2Uy2UltUWaDw4OKqDL7Xar8dpsNgzDwOl0Uq1WcTqditmECS0Wi1J5r1+/TqlUYsOGDezYsYNEIkE8HieRSCgJaRgGhUKBcrlMZ2cnLpeL/fv3c/bsWd566y0lVXVvQjAYpFAoqHl1OBw0NzeTTCapVCr4fD6lgeRyOXWs3W7H5/MppF5AvGq1qraJWVIoFCgWi0qb8ng8wA3PiSwoonG93xlcp/cdsy9Fmtfa5cLUtdv0fUUayMMWm1AALo/HoySPqJPykotdODY2xsjICM3NzTQ2NhKNRnE6ncTjcfL5PKFQCJvNRjAYpFgs0t/fr1xtdrudSqWiGF9eao/Ho2xZWZhCoRC7du3i8uXLVKtVIpEImUxGeQPGxsawWq00NTXhdDrVHOruLxm7uPNEcso1ZPER+zadTnPmzBmGhobIZDI0NzfT0tLC4OAgoVCIQCCA1Wrl9OnTTExMKOxh//79XLhwgcnJyRkmkjBvMBhUi5xI6VKphNfrVW45n8+nMA9Rz3O5nFLjhfHFrNKBVEB5RXQ8QF9ga12lS3nflpOWy25/3zH7Ukln7lpJr5Os5plMhnw+j9vtVtJc7OVSqaRUQGFyOX8kEsFisShVOZlMsn79eq5cuUI2m2VycpJisYjb7SaXy7Fx40ZisZhi+kwmo158HVRyOp2YpsmWLVuwWCzEYjHcbjctLS2sW7eOvr4+yuUye/bsIZ/PK9v54sWLeL1efD6fslflPoV5dd+5ML9cW156uT/d51+tVmlra6NcLuPxeNi4cSONjY309/crt9hDDz3E6dOnSSaTdHd38/DDD2OaJk899ZSSpD6fT0lTQd59Ph/ZbBbDMPD7/dhsNnUdwVRSqZQaL0AmkyEQCFAoFNTiKPvK/QHqfgWPsNlsyoTQF7f
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAABhrUlEQVR4nO29eXBc95Xf+7m97wu6sQMEuIC7uIkUKYkaydRq2R5Lkcf2jMv2+E0lKdckNVPvpRInU5mZVJKq5E29zPOr9yqe3euMbHmJLddoZNmSLInaKFMkxX0FQOwNNBq9off7/gDOjz+0GisBErJwqrrQuH2X3733d37nnO/ZDNM0WaM1WqNff7Lc7gGs0Rqt0a2hNWZfozX6kNAas6/RGn1IaI3Z12iNPiS0xuxrtEYfElpj9jVaow8JrQizG4bxmGEYFwzDuGwYxldW4hprtEZrtDgyltvPbhiGFbgIPAz0AceA3zZN8+yyXmiN1miNFkUrIdnvAi6bpnnVNM0C8DTwyRW4zhqt0RotglaC2VuB69r/fdPb1miN1ug2ku12XdgwjH8B/AsAu91+ZzgcXup5lmMsiz5GzB/TNNXxpmlimiaVSgWASqVCpVKhXC7POMZisVAulymVSup4fQymaWKxWNS5rFarOqdhGOo8NpsNwzBwOp3qWhaLBYfDoa7rdDoBcDqd2Gw2bDYbhUIBwzCwWKbW+lKphGEYWK1WTNOkVCqRTCbV8ZOTk9jtdlwuFxaLBavVCkC5XMYwDIrFIsViUZ3TNE3K5TLlchm73c7k5CSGYajrWywWdR65h3w+Ty6Xo1AoqHuVZyX3JR/DMLDb7TP+l2vLc6z1TqvfVa2/1d9XkpZyncHBwVHTNOuXcr2VYPZ+oF37v2162wwyTfMvgb8EaGxsNH/nd35nSUwnExaYwTSLOZd+Dp1mmzCVSoXJyUlKpRI2m23GJCoUCmSzWQqFAslkkomJCSqVCjabDbvdjtVqxWKxUCwWGRkZYWxsDJfLRblcxjRNrFbrjIk8OTkJgN/vJ5fL4fF4sNvtNDQ0EAqFcDqdhMNhrl69isfjIRAIEI1GicfjeL1eDMNgYmKCQ4cOcejQIUZHRxkcHMTpdFIoFOjr68Pj8dDQ0IBhGORyOcbHx/ne977H6OgoPp8Pt9uN0+mkra2N9vZ2taBEIhHK5TLvvPMOo6Oj7N27l0gkwqlTpygUChQKBerr6+nv72dkZIT29nZaW1vVcyqVSoyOjpJMJhkeHlaLgsViUQtQqVQin89TV1dHQ0MDVquVcrlMY2MjHo8Hl8uF0+nE7/fj9/vVs5OFVxZHwzDUIiKLkb6oyGJpGIZaiGWRXizNxsTV2+f7X7bp2//zf/7PPUsaFCvD7MeALsMw1jPF5J8Ffme+g5YqoWXVX+q55tpXXr6+X6VSIZPJkEqlcLlc2Gw2NXFkcgjD22w2stmsOp/NZsPlclFXV4fVaiUUCmEYBpOTk2qii4S0Wq0EAgEymYxiNgCXy0U2m8XpdGK1WnG73fh8PrZu3crExASlUomRkREANc58Ps/Y2Bijo6Nq8YnFYgwNDeF2uykUCmp8vb29XLp0ifHxcSqVCs3Nzezdu5dwOMypU6c4d+4cu3fvxu/3k0wmMQyDAwcOMDw8TCQSIRgMcuedd5JOp5mcnMTpdFJXV0c+n8flctHT08O1a9dIpVJUKhXGx8fx+/3YbDacTifJZBIAh8OhFp98Pq8WB6fTicPhUFqRSPNKpaL2lUVVNJBqEs1KFg75yGIrQkM0HXnvH3RadmY3TbNkGMa/Ap4HrMDfmqZ5Zrmvs1ykS2V9m6zsdrtdMTRANptVE9LlcmG1WikWizOY3WKxYLPZSKfTBAIB0uk0+Xwe0zQJhUIUi0Wy2ewMtVcm1+TkJFarFYfDQS6XIxAIYBgGY2NjRKNRtXjkcjk1Vo/Hg9frxe12k8vlsFqtNDY2EgwGMU2TixcvMjo6Sk9PD4VCgaGhIQqFAm63m8nJSfr7+4nFYly/fp3Lly+rey+VSvT0TAmShx56iKeeeooTJ07wxhtvcO+997Jz505GR0dJp9M0NDRQKBSYmJhQWo1oJiMjI1y5coXx8XEaGhqIRCJcu3ZNSe50Oq3uxefzUS6XaWpqolgsUiqVKJVKAIyOjlIoFAgEApRKJaUF2e12TNNU72FychKPxwNMLRo229Q0t1qt6t70d2W32zEMQ5kQ1cLjdjK6brbdLK2IzW6a5j8C/7gS564meTFL1QxqHaerdPr5y+WyYia/368kh0gIkcoOh4NEIgFMTTaHw6EWjkKhQC6Xw263k06nlYovUgymGLlYLDIxMQFAOBxWqn8ul8Nms5FIJJTE7+npUZLf7/fT0tJCU1MTgUAAp9PJ5cuXyWQyjI2NkUgkGB4eJpfLkUqlGB8fV9oDgMfjwePxKJygXC6TTCZ58cUXyeVy7Nmzh/Xr13Pq1CmeffZZdu/eTX19PYVCgVQqRaFQIB6PEwgEKJfLDA0NMTQ0hMPhwDRN+vr6qK+vVxqKvrACpFIpHA6HwgwKhQIul0uZT+l0Grfbjd/vV+9Enp9gCJOTk5TLZWUeOZ1O7HY7pVIJh8OhMAtRkUVDkMUAbqj6+jy7GaZfCMPWYuzlxA9uG0C3HDSbrb0YqiXVTdPE5XJRLBZnbBc70u12KzVTlwZij1cqFSKRCHa7nZGREbLZrFoI8vm8st9lYRgbG1NqeSaTwTRNJicnldRJpVLYbDZlv+vqbk9PD+FwmEQiwcGDBwkGg0QiEXbu3EkikaC7u1uZFD09PZw/f55CoYDD4SAQCNDW1qauk8/nsVgseDweNd7JyUnC4TAOh4Pz588zMjLCxo0b2b17N6dOneLFF19k9+7dbNq0ifr6eiYmJkin05RKJWU/t7a2smHDBo4ePUpvb68yG3K5nMImnE6nkuT5fB6Hw6GekcvlUguvDlQKAyeTSWw2m3onsl+xWFRMK+eqVCqK2e12u1rYRe0XdV7mlw62LifdjjoSH1hmr8Xos0n3arRbnzCz7a8j4JVKRUkWmVCyEOgTSibHyMgIuVyOYDBIOBxmYmKCbDarbM/Gxkby+bxiIoBEIqHAvkKhoM5ZKpXIZDJqYgoQValUGBgYoL6+nkwmw65du/D7/Vy/fp1oNEqpVFJSWyS4qMnRaFQxEKCY0uVyUalUsNvtShILsi/MUKlUuHbtGu3t7ezbt490Ok06nWZoaEi9E8EBkskkHo+HYDCI3+/n/vvv5y/+4i+4evXqjOcpqLzb7aZSqZDP58nn80QiEQzDUIuV1+tVz0vMGTF5PB6Pur5oUiKxZRGRc01OTuJyuRTAKSZWqVSagQGsBlpONf4DFxsvkkCn+VT4akSzFmIvC4LYz8ViUanc+XyeUqlEpVJRSLvYiHKsgDsWi4VCoUA+n+fcuXOcO3eOYDBIKBRSEzMejyv02WKxUF9fj8/nU1JdGE8AItkmk1rsUbnuunXrWLduHRcuXMBqteLz+UgmkySTSeLxOLFYDKfTSWtrq2J00UTE5hVJ6vV6cblcOBwOXC6XwgME9RZmi8VinDp1ing8Tn9/v1qoxsfHsdlsRCIR2traiMVipFIppRHt3bsXQAFs8l4SiQSmac5Q0UXbKRQK2Gw2ZXqUy2W1gMo7zGazSqsQdb5QKFAsFtWzEyxFFgYdmKx2mcq8WSlaLhB5MfSBleyLJR2Iq5b0Oon0EptRGAOm1E5Bfe12O4Byv4lErK+vV/sKMzY3NzM2NkahUCCRSCjbsVQq4fP5iMViuFwuvF6v8oPLmGUiCpNt376dVCpFqVTC7XbT2NhIY2MjFy9exOv1snHjRuWzHh0d5dKlS0SjUXw+n0Kp9Xu12WxqkZKP2MBy38I8cEOjEkZYt24d5XIZt9vNpk2b6OnpIZFIEAwGcblcPPLII7z77rtMTk7S1dXFpz/9aZLJJK+99ppaIEVTkWfmdDoJBAIkEgkMwyAYDM54DmLjx+NxNWaXy0UulyMcDs8wA4T0dy9akqjzYu/rNryo96uBlku6f+CZfTGrXi3kfbZz6uCQPumFOSqVigJzxD4
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAACVCAYAAACejIyMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAAsTAAALEwEAmpwYAABiHklEQVR4nO29eXBc93Xn+7m97+huNHaABEFwFSmKoihqs0RRkiVZtrPpeYnGTvxSmUrNUpPKS008L1UZT82bqZmXefPiV+/NZBxnEjl2Iu+JFceRtVgSJVmiJGrhThD7jgYaQO/7fX8A58cfWlgaIEBCFk4VCt237/K7v3vP75zzPZthmiZbtEVb9ItPlhs9gC3aoi26PrTF7Fu0RR8R2mL2LdqijwhtMfsWbdFHhLaYfYu26CNCW8y+RVv0EaENYXbDMB4xDOOSYRhXDMP48kZcY4u2aItWR8Z6+9kNw7ACl4GHgCHgTeDzpmmeX9cLbdEWbdGqaCMk++3AFdM0e0zTzANPAb+0AdfZoi3aolXQRjB7CzCofR+a37ZFW7RFN5BsN+rChmH8U+CfAtjt9iOhUGit51mPsaz6mMXMH9M0MU2TcrkMQLlcplwuUyqVMAyDcrmMYRgYhkGxWKRUKmGaptomn03TxGKxqPNZLBZ1TjmPxWLBarViGAZOp1Ndy2q1Yrfb1XWdTqfax2azYbVayeVy6liAYrGozlculykUCsTjcUzTxOl0kslkcDgcOBwOrFYrFsucjCiVSgAUCgUKhYI6p2malEolyuUyNpuNdDqN1WpV17dYLOp6drsd0zTJ5XJks1kKhYK6V7lfmQM5v8ViwW63q8/6f7mnxZ6pzK/+rBZ7ntcrhHwt1xkdHZ00TbNuLdfbCGYfBtq0763z2xaQaZpfA74G0NDQYP76r//6mphOXjxgxYddzTl0WuocpVKJTCajmE7fN5fLkU6nyeVyzM7OMjs7C6AYxWazYRgG+XyesbExZmZmcLlcFIvFBS+yvNjpdBqLxYLP5yObzeLxeHA4HDQ2NuLz+fD5fHg8Hrq6uqirq8Pr9RKJRIhGo9TU1FAqlUilUtx7770cPnyYkZERJicncTqdZLNZhoeHCQQCRCIRyuUyuVyOiYkJvvOd75BIJPB4PLhcLtxuN+3t7TQ3N2OxWHC5XIRCITKZDG+88QaZTIYjR47gcDg4d+4cpVKJYrFIXV0dPT09zMzM0NHRQWNjI6ZpUigUyOfzTE9PMz09zejoKPl8HqvVqhYRWbByuRz19fXU1taq+a6vr8flcqm/QCCAz+dTi4Aws76IyiIii6x8l8+ynyzEMo7V0lJMXLl9pe+yTd/+7//9v+9f06DYGGZ/E9hlGMYO5pj8c8Cvr3TQekjotZxruX0rXxZ5KVKpFKlUCqfTicPhoFgsqpelUCiQy+WUNMxkMlitVrLZLE6nE6fTSTAYxGq1EgwGsVgspNNp8vm8kuYypmAwSDKZVAwH4Ha71bkcDgdut5tgMMj+/ftJJBIUi0XGx8cxTZN4PM7MzAymaTI5OUk0GiWRSFAqlRgfH2d8fByPx6PGCNDb28ulS5dIJBKUy2Xa29s5dOgQbrebt956i+7ubg4ePIjD4WB6ehq73c4dd9xBNBolHA7j8/lwu92k02nS6TRer5dAIIBpmlitVvr6+ujr6yOTyZDNZkkmk/h8Pmw2GzabjWQyCaA0kkwmQz6fp1gsUiwW8Xq9WK1WCoUCHo9HMb9pmmSzWXK5HHa7HYvFgs1mW/Ds5HlbrVaKxSJ2u51CoaC0ENM0sdlsWCwWSqXSAiGgaxsfVlp3ZjdNs2gYxr8AngGswP80TfPcel9nI8k0TcXAImVFFU+lUsTjcQzDwOVyYbFYyOVy6hhASfBkMonf7yeZTKrfQqEQuVxOqdLC4KKmiiprtVrJ5/PU1NRgtVqZmZkhHA6TSCSw2+3kcjkledxuNz6fj3K5TCaTwW6309TUhM/no1gs0tXVxcTEBIODg6TTacbHxykWi7hcLtLpNKOjo8RiMbq7u+nv7yebzSqJ2tPTg2EYPPTQQ3z+85/nlVde4cUXX+Sxxx6jo6ODaDRKOp2mqalJjSmXy5FIJLBarSSTScbHx+np6SGdTtPQ0EAwGKS7uxu73a60pGKxiNVqxePxUC6XaW1tJR6Pk8vllISfmpqiWCzi8/lwOBxYLBYcDoc6D1zVutxuN4VCAbvdjs1mU89FnqswuGEYOBwOZYroTG4YhjqvbkqtRPrisploQ2x20zT/AfiHjTj3UrSemoG8CMAHHnw2m8VqtRIIBNRv8hLl83m1OGQyGQBcLpeyQ4W5ZBGRfex2O/l8nlwuB6AYfnp6GsMwEDxD3ycWi+F2u3G73fT09Cgm8fv9tLa2UldXRzAYxDAMurq6SCQSRKNRpqamiEaj5PN5ZmdnmZqaIpPJ4HK51AIWCoXUC1soFBgbG+PZZ5/lvvvu4/jx4+zfv5/Tp0/T1dXFgQMHqK+vJ5PJKEafnp4mEAgoU2V8fByn08nMzAx9fX3U1dUpjUjs9XK5rBjRZrMRj8dJpVJqURLVO5FI4HK58Pv9AGou5bkBpNNpTNNU13C5XAqPsNls5PP5BQwpi61IdP090Gk1DL8Z6YYBdOtBS9naq6GlFglhUv33QqEAgM/nw+l0Ypom+Xxe/S72uM1mo66uDovFwvj4uFoM5HibzaZsS5vNpkwCmGN00zRJp9MK0EokEmo/0QRE3R0YGCAQCBCPx7nzzjvxeDw0NzezZ88eJa2z2SwWi4Wenh4uX76sJF4gEKCtrU1pImIe6JIym81SV1eH3W7n7bffZmRkhPb2du68805+/vOf89Of/pSjR4+ybds2PB4PU1NTpFIpSqUSDocDgPb2drZt28ZPf/pTJa1F6utAncxRJpPB4/EAcwupmDDCbMKYwrjxeBybzYbD4VCMKxiImF66ep7L5dTxor7LOGRR0a8Hq1Pjl7K9V9pnozWCDy2zL8boSzGuDtzB1Qe3FGKrI9My+fLZ7XYrgA3mFgAdNS8Wi0xOTlIoFAiFQoRCIWZmZkgmk+TzeVwuFw0NDeTzeWpra9V1UqkUdrtd2e8iVQuFAul0GqfTSaFQoKamBp/PRz6fZ3h4mIaGBlKpFEeOHMHlcjE6OkpbWxvFYpFYLEYqlSKRSDA8PKwkf11dnWIgWXAEdIM5MFHuVxhI9slkMnR3d7Njxw7uuusuXnjhBeLxOCMjI9hsNorFIh6PR6ny4XAYv99POBzm/vvv5+tf/zqzs7MKsXc6nQsYWkylbDZLQ0MDNptN4R8CwJXLZaUhybg9Ho8COGVBlPPl83klzcvlsgI6g8GgWjBEsxDsYj01xWuh9VwAPnSx8fIwdVrpwVQimosdV7kgCFosoI8gtGJflstlxfDyQHSGSCaTvP/++/T09FBXV0cgEFDSR1RpkaSNjY3KxQVXpZlIFrEtnU4nXq8Xt9u9AGHeuXMnTU1NXLp0CbvdjtPpJB6PE4/HicViTE1N4XK5aG1tJRKJ4HQ6F0hUOUbO73A4cDqdCgvwer3qd5HWo6OjnD17lkQiweDgIB6Ph1QqxezsLC6Xi0gkQnNzM2NjY6RSKQzDoKamhv379yuwTX8m09PT2Gw2XC4XNTU1yqQQdFw0D2HymZkZcrmcem7pdJpEIkEqlVLPW7AHq9WqbHybzaa0BgFFBcirBPM2UsquF4i8GvrQSvbVkr7SL6f+i6qn+5nlBcjlckoKeDwepSKKdHY4HMqFJdLZ5XJRX1/P6OgoyWSSWCy2QK10u93Mzs7i8Xjwer3q+qZpKkYUCWuxWNi/fz/T09Pk83m8Xi9NTU1EIhEuXLhAKBRix44dSk2NRqP09PRQX1+vXHZy77oqXOn71n3XwKISTwDL7du3Uy6X8Xq9dHZ20tXVRbFYJBQK4XA4CAQCXLhwgUKhQEdHB0888QSTk5NcvnxZzYPH41F4iGAbTqdTLQBin8tYhUmnpqYUU4tWIR4OMUcqXbFWq1U9L8E/dNebLK7ytxlovaT7h57ZN0LdslgsCpkVKSgIrsPhULae2LXFYlGBQdlsVqm
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 576x792 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import cv2 as cv\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"import sklearn.metrics\n",
"import ipywidgets\n",
"import os\n",
"import random\n",
"import math\n",
"import dlib\n",
"\n",
"\n",
"THRESHOLD = 4.5\n",
"\n",
"left_eye_landmarks = [36, 37, 38, 39, 40, 41]\n",
"right_eye_landmarks = [42, 43, 44, 45, 46, 47]\n",
"\n",
"path = \"shape_predictor_68_face_landmarks.dat\"\n",
"detector = dlib.get_frontal_face_detector()\n",
"predictor = dlib.shape_predictor(path)\n",
"\n",
"def midpoint(point1, point2):\n",
" return (point1.x + point2.x) / 2, (point1.y + point2.y) / 2\n",
"\n",
"\n",
"def euclidean_distance(point1, point2):\n",
" return math.sqrt((point1[0] - point2[0]) ** 2 + (point1[1] - point2[1]) ** 2)\n",
"\n",
"\n",
"def get_blink_ratio(points, facial_landmarks):\n",
" eye_left = (facial_landmarks.part(points[0]).x,\n",
" facial_landmarks.part(points[0]).y)\n",
" eye_right = (facial_landmarks.part(points[3]).x,\n",
" facial_landmarks.part(points[3]).y)\n",
"\n",
" eye_top = midpoint(facial_landmarks.part(points[1]),\n",
" facial_landmarks.part(points[2]))\n",
" eye_bottom = midpoint(facial_landmarks.part(points[5]),\n",
" facial_landmarks.part(points[4]))\n",
"\n",
" horizontal_length = euclidean_distance(eye_left, eye_right)\n",
" vertical_length = euclidean_distance(eye_top, eye_bottom)\n",
"\n",
" ratio = horizontal_length / vertical_length\n",
"\n",
" return ratio\n",
"\n",
"\n",
"def detect_blinks(filename):\n",
" i = 1\n",
" cap = cv.VideoCapture(filename)\n",
" while True:\n",
" retval, frame = cap.read()\n",
"\n",
" if not retval:\n",
" break\n",
"\n",
" frame = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)\n",
"\n",
" faces, _, _ = detector.run(image=frame, upsample_num_times=0, adjust_threshold=0.0)\n",
"\n",
" for face in faces:\n",
"\n",
" landmarks = predictor(frame, face)\n",
"\n",
" left_eye_ratio = get_blink_ratio(left_eye_landmarks, landmarks)\n",
" right_eye_ratio = get_blink_ratio(right_eye_landmarks, landmarks)\n",
" blink_ratio = (left_eye_ratio + right_eye_ratio) / 2\n",
"\n",
" if blink_ratio > THRESHOLD:\n",
" cv.putText(frame, f\"BLINKING AT FRAME {i}\", (20, 150), cv.FONT_HERSHEY_SIMPLEX,\n",
" 2, (255, 0, 0), 6, cv.LINE_AA)\n",
"\n",
" plt.figure(figsize=(8,11))\n",
" plt.subplot(221)\n",
" plt.imshow(frame, cmap='gray') \n",
" i += 1\n",
" \n",
"detect_blinks(\"vid/blinking-woman1.mp4\")\n",
"detect_blinks(\"vid/blinking-woman2.mp4\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "071170ee-f4f1-404a-b864-6b948b969637",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"author": "Andrzej Wójtowicz",
"email": "andre@amu.edu.pl",
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"lang": "pl",
"language_info": {
2023-01-22 20:08:13 +01:00
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.9.12"
2023-01-22 20:08:13 +01:00
},
"subtitle": "09. Wykrywanie i rozpoznawanie tekstu [laboratoria]",
"title": "Widzenie komputerowe",
"year": "2021"
},
"nbformat": 4,
"nbformat_minor": 5
}