From 57381d630ac5119a192ae863c2a3214fb932fee0 Mon Sep 17 00:00:00 2001 From: Adam Osiowy Date: Tue, 12 May 2020 00:58:26 +0200 Subject: [PATCH] utworzone pliki projektu indywidualnego --- etykiety.h5 | Bin 0 -> 17944 bytes parametry_zdjec.h5 | Bin 0 -> 8458720 bytes .../metal/google-image(0085).jpeg | Bin 9593 -> 0 bytes .../metal/google-image(0141).jpeg | Bin 30430 -> 0 bytes .../metal/google-image(0169).jpeg | Bin 43782 -> 0 bytes .../metal/google-image(0179).jpeg | Bin 14448 -> 0 bytes .../metal/google-image(0434).jpeg | Bin 22324 -> 0 bytes .../metal/photo_2017-04-12_14-54-13.jpg | Bin 17676 -> 0 bytes .../papier/IMG_20170408_221337.jpg | Bin 21237 -> 0 bytes .../papier/google-image(0055).jpeg | Bin 120389 -> 0 bytes .../papier/google-image(0136).jpeg | Bin 21123 -> 0 bytes .../papier/google-image(0194).jpeg | Bin 45521 -> 0 bytes .../papier/google-image(0271).jpeg | Bin 43442 -> 0 bytes .../papier/google-image(0532).jpeg | Bin 83827 -> 0 bytes .../papier/hG24Xu3cdM8.jpg | Bin 14010 -> 0 bytes .../51711424704aac8b576bfe665d61ccfd.jpg | Bin 6167 -> 0 bytes ...lastic-bottles-isolated-white-61112949.jpg | Bin 20588 -> 0 bytes .../plastik/google-image(0045).jpeg | Bin 9071 -> 0 bytes .../plastik/google-image(0057).jpeg | Bin 35873 -> 0 bytes .../plastik/google-image(0059).jpeg | Bin 27950 -> 0 bytes .../plastik/google-image(0107).jpeg | Bin 37704 -> 0 bytes .../plastik/google-image(0141).jpeg | Bin 13736 -> 0 bytes .../plastik/google-image(0151).jpeg | Bin 5820 -> 0 bytes .../plastik/google-image(0171_3).jpeg | Bin 27956 -> 0 bytes .../plastik/google-image(0184).jpeg | Bin 24002 -> 0 bytes .../plastik/google-image(0193).jpeg | Bin 8156 -> 0 bytes .../plastik/google-image(0249).jpeg | Bin 41186 -> 0 bytes .../plastik/google-image(0311).jpeg | Bin 19751 -> 0 bytes .../plastik/google-image(0312).jpeg | Bin 27138 -> 0 bytes .../plastik/google-image(0378).jpeg | Bin 8297 -> 0 bytes .../plastik/google-image(0380)_2.jpeg | Bin 18553 -> 0 bytes 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zYNQi5v*o+x<&SBIqCWjw8NWpnn&U#0wekl1^-4y87DyP88lMU;mk(L~^Wy&iOJ7Tf diff --git a/tworzenie_danych_AO.py b/tworzenie_danych_AO.py new file mode 100644 index 0000000..7031b98 --- /dev/null +++ b/tworzenie_danych_AO.py @@ -0,0 +1,70 @@ +from sklearn.preprocessing import LabelEncoder +import numpy as np +import mahotas +import cv2 +import os +import h5py + +rozmiar_zdj = tuple((500, 500)) +sciezka_do_zdj = "resources/smieci_stare" +h5_dane = 'parametry_zdjec.h5' +h5_etykiety = 'etykiety.h5' + + +def hu_moments(zdj): + zdj = cv2.cvtColor(zdj, cv2.COLOR_BGR2GRAY) + momenty = cv2.HuMoments(cv2.moments(zdj)).flatten() + return momenty + + +def haralick(zdj): + szare_zdj = cv2.cvtColor(zdj, cv2.COLOR_BGR2GRAY) + haralick = mahotas.features.haralick(szare_zdj).mean(axis=0) + return haralick + + +def histogram(zdj, mask=None): + zdj = cv2.cvtColor(zdj, cv2.COLOR_BGR2HSV) + hist = cv2.calcHist([zdj], [0, 1, 2], mask, [8, 8, 8], [0, 256, 0, 256, 0, 256]) + cv2.normalize(hist, hist) + return hist.flatten() + + +klasy = os.listdir(sciezka_do_zdj) + +klasy.sort() + +dane = [] +wszystkie_typy_zdj = [] + +for klasa in klasy: + katalog = os.path.join(sciezka_do_zdj, klasa) + + biezaca_klasa = klasa + for plik in os.listdir(katalog): + zdj = cv2.imread(os.path.join(katalog, plik)) + zdj = cv2.resize(zdj, rozmiar_zdj) + + fv_hu_moments = hu_moments(zdj) + fv_haralick = haralick(zdj) + fv_histogram = histogram(zdj) + + wiersz = np.hstack([fv_hu_moments, fv_histogram, fv_haralick]) + wszystkie_typy_zdj.append(biezaca_klasa) + dane.append(wiersz) + +print(len(wszystkie_typy_zdj)) +targetNames = np.unique(wszystkie_typy_zdj) +print(targetNames,targetNames.shape) +le = LabelEncoder() +target = le.fit_transform(wszystkie_typy_zdj) +print(target.shape) + +h5f_data = h5py.File(h5_dane, 'w') +h5f_data.create_dataset('dataset_1', data=np.array(dane)) + +h5f_label = h5py.File(h5_etykiety, 'w') +h5f_label.create_dataset('dataset_1', data=np.array(target)) + +h5f_data.close() +h5f_label.close()

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