{ "cells": [ { "cell_type": "markdown", "id": "819ce420", "metadata": {}, "source": [ "![Logo 1](img/aitech-logotyp-1.jpg)\n", "
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Widzenie komputerowe

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06. Rozpoznawanie i segmentacja obrazów [laboratoria]

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Andrzej Wójtowicz (2021)

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\n", "\n", "![Logo 2](img/aitech-logotyp-2.jpg)" ] }, { "cell_type": "markdown", "id": "a6dc5acc", "metadata": {}, "source": [ "W poniższych materiałach zobaczymy w jaki sposób możemy klasycznym podejściem rozpoznawać ludzi na zdjęciach, a ponadto w jaki sposób szybko podzielić obraz na elementy znajdujące się na pierwszym planie i w tle obrazu.\n", "\n", "Na początku załadujmy niezbędne biblioteki." ] }, { "cell_type": "code", "execution_count": 3, "id": "e45bb312", "metadata": {}, "outputs": [], "source": [ "import cv2 as cv\n", "import numpy as np\n", "import sklearn.svm\n", "import sklearn.metrics\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import os\n", "import random" ] }, { "cell_type": "markdown", "id": "5b757675", "metadata": {}, "source": [ "Naszym głównym celem będzie rozpoznawanie ludzi na zdjęciach przy pomocy klasycznej metody *histogram of oriented gradients* (HOG). Krótko mówiąc, dla danego zdjęcia chcemy uzyskać wektor cech, który będziemy mogli wykorzystać w klasyfikatorze SVM. Szczegóły znajdują się w *6.3.2 Pedestrian detection* R. Szeliski (2022) *Computer Vision: Algorithms and Applications*, natomiast tutaj zobrazujemy techniczne wykorzystanie tej metody.\n", "\n", "# Klasyfikacja obrazów przy użyciu HOG i SVM\n", "\n", "Spróbjemy zbudować klasyfikator, który wskazuje czy na zdjęciu znajduje się osoba z okularami czy bez okularów. Rozpakujmy zbiór danych, z którego będziemy korzystali:" ] }, { "cell_type": "code", "execution_count": 2, "id": "7b953b82", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "'unzip' is not recognized as an internal or external command,\n", "operable program or batch file.\n" ] } ], "source": [ "!cd datasets && unzip -qo glasses.zip" ] }, { "cell_type": "markdown", "id": "f4a457f3", "metadata": {}, "source": [ "Następnie wczytujemy dane i dzielimy je na dwa zbiory w proporcjach 80/20:" ] }, { "cell_type": "code", "execution_count": 4, "id": "737d95c1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train data: 1272, test data: 319\n" ] } ], "source": [ "dataset_dir = \"datasets/glasses\"\n", "images_0 = os.listdir(f\"{dataset_dir}/with\")\n", "images_0 = [f\"{dataset_dir}/with/{x}\" for x in images_0]\n", "images_1 = os.listdir(f\"{dataset_dir}/without\")\n", "images_1 = [f\"{dataset_dir}/without/{x}\" for x in images_1]\n", "images = images_0 + images_1\n", "random.seed(1337)\n", "random.shuffle(images)\n", "\n", "train_data = []\n", "test_data = []\n", "train_labels = []\n", "test_labels = []\n", "\n", "splitval = int((1-0.2)*len(images))\n", "\n", "for x in images[:splitval]:\n", " train_data.append(cv.imread(x, cv.IMREAD_COLOR))\n", " train_labels.append(x.split(\"/\")[2])\n", " \n", "for x in images[splitval:]:\n", " test_data.append(cv.imread(x, cv.IMREAD_COLOR))\n", " test_labels.append(x.split(\"/\")[2])\n", " \n", "d_labels = {\"with\": 0, \"without\": 1}\n", " \n", "train_labels = np.array([d_labels[x] for x in train_labels])\n", "test_labels = np.array([d_labels[x] for x in test_labels])\n", "\n", "print(f\"Train data: {len(train_data)}, test data: {len(test_data)}\")" ] }, { "cell_type": "markdown", "id": "265147e3", "metadata": {}, "source": [ "Poniżej znajduje się kilka przykładowych zdjęć." ] }, { "cell_type": "code", "execution_count": 5, "id": "e0595915", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,2))\n", "for i in range(5):\n", " plt.subplot(151 + i)\n", " plt.imshow(train_data[i][:,:,::-1]);" ] }, { "cell_type": "markdown", "id": "e05e27e8", "metadata": {}, "source": [ "Tworzymy deskryptor HOG przy pomocy funkcji [`cv.HOGDescriptor()`](https://docs.opencv.org/4.5.3/d5/d33/structcv_1_1HOGDescriptor.html). Metodą [`compute()`](https://docs.opencv.org/4.5.3/d5/d33/structcv_1_1HOGDescriptor.html#a38cd712cd5a6d9ed0344731fcd121e8b) tworzymy wektory cech, które posłużą nam jako dane wejściowe do klasyfikatora. Poniżej znajduje się również przykładowa konfiguracja deskryptora:" ] }, { "cell_type": "code", "execution_count": 6, "id": "f21e8924", "metadata": {}, "outputs": [], "source": [ "hp_win_size = (96, 32)\n", "hp_block_size = (8, 8)\n", "hp_block_stride = (8, 8)\n", "hp_cell_size = (4, 4)\n", "hp_n_bins = 9\n", "hp_deriv_aperture = 0\n", "hp_win_sigma = 4.0\n", "hp_histogram_norm_type = 1\n", "hp_l2_hys_threshold = 0.2\n", "hp_gamma_correction = True\n", "hp_n_levels = 64\n", "hp_signed_gradient = True\n", "\n", "hog_descriptor = cv.HOGDescriptor(\n", " hp_win_size, hp_block_size, hp_block_stride, hp_cell_size, \n", " hp_n_bins, hp_deriv_aperture, hp_win_sigma, \n", " hp_histogram_norm_type, hp_l2_hys_threshold, \n", " hp_gamma_correction, hp_n_levels, hp_signed_gradient)\n", "\n", "train_hog = np.vstack([hog_descriptor.compute(x).ravel() for x in train_data])\n", "test_hog = np.vstack([hog_descriptor.compute(x).ravel() for x in test_data])" ] }, { "cell_type": "markdown", "id": "755b8ebe", "metadata": {}, "source": [ "Do klasyfikacji użyjemy klasyfikatora SVM. Możemy użyć implementacji znajdującej się w module [`cv.ml`](https://docs.opencv.org/4.5.3/d1/d2d/classcv_1_1ml_1_1SVM.html):" ] }, { "cell_type": "code", "execution_count": 7, "id": "b46783d4", "metadata": {}, "outputs": [], "source": [ "model = cv.ml.SVM_create()\n", "model.setGamma(0.02)\n", "model.setC(2.5)\n", "model.setKernel(cv.ml.SVM_RBF)\n", "model.setType(cv.ml.SVM_C_SVC)" ] }, { "cell_type": "markdown", "id": "d8f47c54", "metadata": {}, "source": [ "Trenujemy model:" ] }, { "cell_type": "code", "execution_count": 8, "id": "810f9a1e", "metadata": {}, "outputs": [], "source": [ "model.train(np.array(train_hog), cv.ml.ROW_SAMPLE, train_labels);" ] }, { "cell_type": "markdown", "id": "69d39eee", "metadata": {}, "source": [ "Sprawdzamy wynik na danych testowych:" ] }, { "cell_type": "code", "execution_count": 9, "id": "763b6dc7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ACC: 95.30 %\n" ] } ], "source": [ "predictions = model.predict(test_hog)[1].ravel()\n", "accuracy = (test_labels == predictions).mean()\n", "print(f\"ACC: {accuracy * 100:.2f} %\")" ] }, { "cell_type": "markdown", "id": "2dd04ec5", "metadata": {}, "source": [ "Możemy również użyć implementacji klasyfikatora znajdującej się w bibliotece [`scikit-learn`](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html):" ] }, { "cell_type": "code", "execution_count": 10, "id": "13b7ba1c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ACC: 95.30 %\n" ] } ], "source": [ "model = sklearn.svm.SVC(C=2.5, gamma=0.02, kernel='rbf')\n", "model.fit(train_hog, train_labels)\n", "\n", "predictions = model.predict(test_hog)\n", "accuracy = (test_labels == predictions).mean()\n", "print(f\"ACC: {accuracy * 100:.2f} %\")" ] }, { "cell_type": "markdown", "id": "2259c310", "metadata": {}, "source": [ "# Rozpoznawanie ludzi\n", "\n", "Powyższą metodykę klasyfikcji możemy zastosować do rozpoznawania obiektów na zdjęciach, np. ludzi. W tym wypadku będziemy chcieli wskazać gdzie na zdjęciu znajduje się dany obiekt lub obiekty.\n", "\n", "Rozpocznijmy od rozpakowania zbioru danych:" ] }, { "cell_type": "code", "execution_count": 11, "id": "d8497390", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "'unzip' is not recognized as an internal or external command,\n", "operable program or batch file.\n" ] } ], "source": [ "!cd datasets && unzip -qo inria-person-sub.zip" ] }, { "cell_type": "markdown", "id": "30374bad", "metadata": {}, "source": [ "Wczytujemy dane, które są już podzielone na dwa zbiory:" ] }, { "cell_type": "code", "execution_count": 13, "id": "978d77cf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train data: 1457, test data: 560\n" ] } ], "source": [ "dataset_dir = \"datasets/INRIAPerson\"\n", "\n", "images_train_0 = os.listdir(f\"{dataset_dir}/train_64x128_H96/negPatches\")\n", "images_train_0 = [f\"{dataset_dir}/train_64x128_H96/negPatches/{x}\" for x in images_train_0]\n", "images_train_1 = os.listdir(f\"{dataset_dir}/train_64x128_H96/posPatches\")\n", "images_train_1 = [f\"{dataset_dir}/train_64x128_H96/posPatches/{x}\" for x in images_train_1]\n", "\n", "images_test_0 = os.listdir(f\"{dataset_dir}/test_64x128_H96/negPatches\")\n", "images_test_0 = [f\"{dataset_dir}/test_64x128_H96/negPatches/{x}\" for x in images_test_0]\n", "images_test_1 = os.listdir(f\"{dataset_dir}/test_64x128_H96/posPatches\")\n", "images_test_1 = [f\"{dataset_dir}/test_64x128_H96/posPatches/{x}\" for x in images_test_1]\n", "\n", "train_data = []\n", "test_data = []\n", "train_labels = []\n", "test_labels = []\n", "\n", "for x in images_train_0:\n", " img = cv.imread(x, cv.IMREAD_COLOR)\n", " if img is not None:\n", " train_data.append(img)\n", " train_labels.append(0)\n", "\n", "for x in images_train_1:\n", " img = cv.imread(x, cv.IMREAD_COLOR)\n", " if img is not None:\n", " train_data.append(img)\n", " train_labels.append(1)\n", " \n", "for x in images_test_0:\n", " img = cv.imread(x, cv.IMREAD_COLOR)\n", " if img is not None:\n", " test_data.append(img)\n", " test_labels.append(0)\n", "\n", "for x in images_test_1:\n", " img = cv.imread(x, cv.IMREAD_COLOR)\n", " if img is not None:\n", " test_data.append(img)\n", " test_labels.append(1)\n", "\n", "print(f\"Train data: {len(train_data)}, test data: {len(test_data)}\")" ] }, { "cell_type": "markdown", "id": "9bf41d6e", "metadata": {}, "source": [ "Poniżej znajduje się kilka przykładowych zdjęć ze zbioru:" ] }, { "cell_type": "code", "execution_count": 14, "id": "f29d47c1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,2))\n", "for i in range(3):\n", " plt.subplot(161 + i)\n", " plt.imshow(train_data[i][:,:,::-1]);\n", "for i in range(3):\n", " plt.subplot(164 + i)\n", " plt.imshow(train_data[-(i+1)][:,:,::-1]);" ] }, { "cell_type": "markdown", "id": "57cec468", "metadata": {}, "source": [ "Tworzymy deskryptor i wektory cech:" ] }, { "cell_type": "code", "execution_count": 15, "id": "d5248df2", "metadata": {}, "outputs": [], "source": [ "hp_win_size = (64, 128)\n", "hp_block_size = (16, 16)\n", "hp_block_stride = (8, 8)\n", "hp_cell_size = (8, 8)\n", "hp_n_bins = 9\n", "hp_deriv_aperture = 1\n", "hp_win_sigma = -1\n", "hp_histogram_norm_type = 0\n", "hp_l2_hys_threshold = 0.2\n", "hp_gamma_correction = True\n", "hp_n_levels = 64\n", "hp_signed_gradient = False\n", "\n", "hog_descriptor = cv.HOGDescriptor(\n", " hp_win_size, hp_block_size, hp_block_stride, hp_cell_size, \n", " hp_n_bins, hp_deriv_aperture, hp_win_sigma, \n", " hp_histogram_norm_type, hp_l2_hys_threshold, \n", " hp_gamma_correction, hp_n_levels, hp_signed_gradient)\n", "\n", "train_hog = np.vstack([hog_descriptor.compute(x).ravel() for x in train_data])\n", "test_hog = np.vstack([hog_descriptor.compute(x).ravel() for x in test_data])" ] }, { "cell_type": "markdown", "id": "c6782aa9", "metadata": {}, "source": [ "Następnie tworzymy klasyfikator:" ] }, { "cell_type": "code", "execution_count": 16, "id": "8f6108ed", "metadata": {}, "outputs": [], "source": [ "model = cv.ml.SVM_create()\n", "model.setGamma(0)\n", "model.setC(0.01)\n", "model.setKernel(cv.ml.SVM_LINEAR)\n", "model.setType(cv.ml.SVM_C_SVC)\n", "model.setTermCriteria((cv.TERM_CRITERIA_EPS + cv.TERM_CRITERIA_MAX_ITER, 1000, 1e-3))" ] }, { "cell_type": "markdown", "id": "bbfbde58", "metadata": {}, "source": [ "Uczymy model:" ] }, { "cell_type": "code", "execution_count": 17, "id": "afd0bbb4", "metadata": {}, "outputs": [], "source": [ "model.train(np.array(train_hog), cv.ml.ROW_SAMPLE, np.array(train_labels));" ] }, { "cell_type": "markdown", "id": "09626eed", "metadata": {}, "source": [ "Sprawdzamy jakość klasyfikacji:" ] }, { "cell_type": "code", "execution_count": 18, "id": "fa3be6b6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ACC: 96.96 %\n" ] } ], "source": [ "predictions = model.predict(test_hog)[1].ravel()\n", "accuracy = (test_labels == predictions).mean()\n", "print(f\"ACC: {accuracy * 100:.2f} %\")" ] }, { "cell_type": "markdown", "id": "c6df6682", "metadata": {}, "source": [ "Poniżej znajduje się podejście przy pomocy biblioteki *scikit-learn*:" ] }, { "cell_type": "code", "execution_count": 19, "id": "7b3de8d1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 96.96 %\n", "Precision: 93.55 %\n", "Recall: 88.78 %\n" ] } ], "source": [ "model2 = sklearn.svm.SVC(C=0.01, gamma='auto', kernel='linear', max_iter=1000)\n", "model2.fit(train_hog, train_labels)\n", "\n", "predictions = model2.predict(test_hog)\n", "accuracy = (test_labels == predictions).mean()\n", "print(f\"Accuracy: {sklearn.metrics.accuracy_score(test_labels, predictions) * 100:.2f} %\")\n", "print(f\"Precision: {sklearn.metrics.precision_score(test_labels, predictions) * 100:.2f} %\")\n", "print(f\"Recall: {sklearn.metrics.recall_score(test_labels, predictions) * 100:.2f} %\")" ] }, { "cell_type": "markdown", "id": "6e84c568", "metadata": {}, "source": [ "Mając teraz wyuczony model, chcielibyśmy sprawdzić czy np. na zdjęciu `img/pedestrians.jpg` znajdują się ludzie, tak aby uzyskać ew. obramowania z ich występowaniem. W pierwszej kolejności w naszym deskryptorze HOG ustawiamy współczynniki klasfikatora SVM przy pomocy metody [`setSVMDetector()`](https://docs.opencv.org/4.5.3/d5/d33/structcv_1_1HOGDescriptor.html#a6de5ac55631eed51e36278cde3a2c159). Następnie przy pomocy metody [`detectMultiScale()`](https://docs.opencv.org/4.5.3/d5/d33/structcv_1_1HOGDescriptor.html#a91e56a2c317392e50fbaa2f5dc78d30b) znajdujemy wyszukiwane obiekty (ludzi) w różnych skalach." ] }, { "cell_type": "code", "execution_count": 22, "id": "d6458103", "metadata": {}, "outputs": [ { "ename": "IndexError", "evalue": "invalid index to scalar variable.", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_15008\\590896230.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[0mx2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mx1\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mw\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my1\u001b[0m \u001b[1;33m+\u001b[0m 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\u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mputText\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34mf\"{weight[0]:.2f}\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mx1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mFONT_HERSHEY_SIMPLEX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLINE_AA\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 22\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 23\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mIndexError\u001b[0m: invalid index to scalar variable." ] } ], "source": [ "image = cv.imread(\"img/pedestrians.jpg\", cv.IMREAD_COLOR)\n", "scale = 600 / image.shape[0]\n", "image = cv.resize(image, None, fx=scale, fy=scale)\n", "\n", "support_vectors = model.getSupportVectors()\n", "rho, _, _ = model.getDecisionFunction(0)\n", "detector = np.zeros(support_vectors.shape[1] + 1, dtype=support_vectors.dtype)\n", "detector[:-1] = -support_vectors[:]\n", "detector[-1] = rho\n", "\n", "hog_descriptor.setSVMDetector(detector)\n", "\n", "locations, weights = hog_descriptor.detectMultiScale(\n", " image, winStride=(8, 8), padding=(32, 32), scale=1.05,\n", " hitThreshold=1.0)\n", "\n", "for location, weight in zip(locations, weights):\n", " x1, y1, w, h = location\n", " x2, y2 = x1 + w, y1 + h\n", " cv.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), thickness=3, lineType=cv.LINE_AA)\n", " cv.putText(image, f\"{weight[0]:.2f}\", (x1,y1), cv.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2, cv.LINE_AA)\n", "\n", "plt.figure(figsize=(6,6))\n", "plt.imshow(image[:,:,::-1]);" ] }, { "cell_type": "markdown", "id": "cd287c92", "metadata": {}, "source": [ "Coś nam nawet udało się wykryć jak na tak niewielki zbiór danych uczących ;) Z drugiej strony, dwie osoby na pierwszym planie zostały pominięte, a osoba po prawej jest dyskusyjna jeśli chodzi o zakres oznaczenia.\n", "\n", "W OpenCV dostępny jest domyślny klasyfikator w funkcji [`HOGDescriptor_getDefaultPeopleDetector()`](https://docs.opencv.org/4.5.3/d5/d33/structcv_1_1HOGDescriptor.html#a9c7a0b2aa72cf39b4b32b3eddea78203) i poniżej możemy zobaczyć jak sobie radzi na badanym zdjęciu:" ] }, { "cell_type": "code", "execution_count": 24, "id": "57a745c9", "metadata": {}, "outputs": [ { "ename": "IndexError", "evalue": "invalid index to scalar variable.", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_15008\\3652035931.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 20\u001b[0m \u001b[0mx2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mx1\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mw\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my1\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mh\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrectangle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[1;33m(\u001b[0m\u001b[0mx1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mFONT_HERSHEY_SIMPLEX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mLINE_AA\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 23\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 24\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mIndexError\u001b[0m: invalid index to scalar variable." ] } ], "source": [ "image = cv.imread(\"img/pedestrians.jpg\", cv.IMREAD_COLOR)\n", "scale = 600 / image.shape[0]\n", "image = cv.resize(image, None, fx=scale, fy=scale)\n", "\n", "hog_dflt_descriptor = cv.HOGDescriptor(\n", " hp_win_size, hp_block_size, hp_block_stride, hp_cell_size, \n", " hp_n_bins, hp_deriv_aperture, hp_win_sigma, \n", " hp_histogram_norm_type, hp_l2_hys_threshold, \n", " hp_gamma_correction, hp_n_levels, hp_signed_gradient)\n", "\n", "detector_dflt = cv.HOGDescriptor_getDefaultPeopleDetector()\n", "hog_dflt_descriptor.setSVMDetector(detector_dflt)\n", "\n", "locations, weights = hog_dflt_descriptor.detectMultiScale(\n", " image, winStride=(8, 8), padding=(32, 32), scale=1.05,\n", " hitThreshold=1.0)\n", "\n", "for location, weight in zip(locations, weights):\n", " x1, y1, w, h = location\n", " x2, y2 = x1 + w, y1 + h\n", " cv.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), thickness=3, lineType=cv.LINE_AA)\n", " cv.putText(image, f\"{weight[0]:.2f}\", (x1,y1), cv.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2, cv.LINE_AA)\n", "\n", "plt.figure(figsize=(6,6))\n", "plt.imshow(image[:,:,::-1]);" ] }, { "cell_type": "markdown", "id": "6c8cf915", "metadata": {}, "source": [ "# Segmentacja obrazu metodą GrabCut\n", "\n", "## Zadanie 1\n", "\n", "W poniższym zadaniu użyjemy algorytmu [GrabCut](https://en.wikipedia.org/wiki/GrabCut), będącego interaktywną metodą segmentacji obrazu, dzielącą obraz na pierwszy i drugi plan. W OpenCV algorytm jest zaimplementowany w funkcji [`cv.grabCut()`](https://docs.opencv.org/4.5.3/d3/d47/group__imgproc__segmentation.html#ga909c1dda50efcbeaa3ce126be862b37f). Dodatkowe informacje o algorytmie znajdują się w [dokumentacji](https://docs.opencv.org/4.5.3/d8/d83/tutorial_py_grabcut.html).\n", "\n", "Przygotuj interaktywną aplikację, która wykorzystuje algorytm GrabCut. W aplikacji powinna być możliwość zaznaczenia początkowego prostokąta, a następnie elementy maski (zwróć uwagę z jakich elementów może składać się maska). Przykładowe działanie możesz zaprezentować na obrazie `img/messi5.jpg`." ] }, { "cell_type": "markdown", "id": "35f22bca", "metadata": {}, "source": [ "![GrabCut - wynik](img/grabcut-result.png)" ] }, { "cell_type": "code", "execution_count": 1, "id": "c2dcb21e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "ename": "", "evalue": "", "output_type": "error", "traceback": [ "\u001b[1;31mThe Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click here for more info. View Jupyter log for further details." ] } ], "source": [ "import numpy as np\n", "import cv2 as cv\n", "from matplotlib import pyplot as plt\n", "\n", "windowName = \"GrabCut\"\n", "messi = cv.imread('img/messi5.jpg', cv.IMREAD_COLOR)\n", "messiProcessed = cv.imread('img/messi5.jpg', cv.IMREAD_COLOR)\n", "messiCopy = cv.imread('img/messi5.jpg', cv.IMREAD_COLOR)\n", "mask = np.zeros(messi.shape[:2],np.uint8)\n", "newmask = np.zeros(messi.shape[:2],np.uint8)\n", "\n", "bgdModel = np.zeros((1,65),np.float64)\n", "fgdModel = np.zeros((1,65),np.float64)\n", "\n", "clickedPoints = []\n", "rectangleDrawed = False\n", "recordLine = False\n", "foregroundMode = 0\n", "firstCalculation = True\n", "\n", "def click(event, x, y, flags, param):\n", " global clickedPoints, messiCopy, recordLine, newmask\n", "\n", " if rectangleDrawed:\n", " if event == cv.EVENT_LBUTTONDOWN:\n", " recordLine = True\n", "\n", " if event == cv.EVENT_MOUSEMOVE and recordLine == True:\n", " clickedPoint = (x, y)\n", " color = (255, 255, 255)\n", " if foregroundMode == 1:\n", " color = (125, 125, 125)\n", " messiCopy = cv.circle(messiCopy, clickedPoint, 5, color, -1)\n", " newmask = cv.circle(newmask, clickedPoint, 5, color, -1)\n", "\n", " if event == cv.EVENT_LBUTTONUP:\n", " recordLine = False\n", "\n", " else:\n", " if event == cv.EVENT_LBUTTONDOWN:\n", " clickedPoint = (x, y)\n", " messiCopy = cv.circle(messiCopy, clickedPoint, 5, (0, 0, 255), -1)\n", " clickedPoints.append(clickedPoint)\n", " \n", "def changeMode(val):\n", " global foregroundMode\n", " foregroundMode = val\n", "\n", "def calculate():\n", " global messi, mask, bgdModel, fgdModel, firstCalculation, messiProcessed\n", " mask[newmask == 125] = 0\n", " mask[newmask == 255] = 1\n", " \n", " topLeft = clickedPoints[0]\n", " bottomRight = clickedPoints[1]\n", "\n", " if firstCalculation:\n", " firstCalculation = False\n", " rect = (topLeft[0], topLeft[1], bottomRight[0], bottomRight[1])\n", " mode = cv.GC_INIT_WITH_RECT\n", " cv.grabCut(messi,mask,rect,bgdModel,fgdModel,5,mode)\n", "\n", " else:\n", " rect = None\n", " mode = cv.GC_INIT_WITH_MASK\n", " mask, bgdModel, fgdModel = cv.grabCut(messi,mask,rect,bgdModel,fgdModel,5,mode)\n", "\n", " mask2 = np.where((mask==2)|(mask==0),0,1).astype('uint8')\n", " messiProcessed = messi*mask2[:,:,np.newaxis]\n", " plt.imshow(mask),plt.colorbar(),plt.show()\n", "\n", "\n", "cv.namedWindow(windowName)\n", "cv.namedWindow(\"Messi\")\n", "cv.setMouseCallback(windowName, click)\n", "\n", "cv.createTrackbar(\"Threshold1\", windowName, 0, 1, changeMode)\n", "\n", "\n", "while True:\n", " cv.imshow(windowName, messiCopy)\n", " cv.imshow(\"Messi\", messiProcessed)\n", " key = cv.waitKey(1) & 0xFF\n", "\n", " if key == ord(\"c\"):\n", " break\n", "\n", " if key == ord(\"g\"):\n", " calculate()\n", "\n", " if len(clickedPoints) == 2 and rectangleDrawed == False:\n", " rectangleDrawed = True\n", " messiCopy = cv.rectangle(messiCopy, clickedPoints[0], clickedPoints[1], (0,255,0), 3)" ] } ], "metadata": { "author": "Andrzej Wójtowicz", "email": "andre@amu.edu.pl", "kernelspec": { "display_name": "widzenie_komputerowe", "language": "python", "name": "python3" }, "lang": "pl", "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 05:35:01) [MSC v.1916 64 bit (AMD64)]" }, "subtitle": "06. Segmentacja i rozpoznawanie obrazów [laboratoria]", "title": "Widzenie komputerowe", "vscode": { "interpreter": { "hash": "6ac7fc53e11b5e853f03d2492fedb08fce658edca143f79fa3d2748d3b63b777" } }, "year": "2021" }, "nbformat": 4, "nbformat_minor": 5 }