質問編集履歴
1
プログラム（前処理）を追記しました
test
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File without changes
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test
CHANGED
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@@ -18,6 +18,66 @@
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■プログラム（前処理）
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```
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25
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v_image = []
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v_label = []
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28
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29
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for index, name in enumerate(folder):
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dir = TRAIN_PATH + "\" + name
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32
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files = glob.glob(dir + "\*.png")
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print(dir)
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for i, file in enumerate(files):
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if COLOR_CHANNEL == 1:
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img = load_img(file, color_mode = "grayscale", target_size=(INPUT_IMAGE_SIZE, INPUT_IMAGE_SIZE))
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elif COLOR_CHANNEL == 3:
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img = load_img(file, color_mode = "rgb", target_size=(INPUT_IMAGE_SIZE, INPUT_IMAGE_SIZE))
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array = img_to_array(img)
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v_image.append(array)
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v_label.append(index)
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v_image = np.array(v_image)
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v_label = np.array(v_label)
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v_image = v_image.astype('float32')
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v_image = v_image / 255.0
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v_label = np_utils.to_categorical(v_label, CLASS_NUM)
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train_images, test_images, train_labels, test_labels = train_test_split(v_image, v_label, test_size=0.20)
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train_images2 = np.squeeze(train_images)
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test_images2 = np.squeeze(test_images)
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print(train_images2.shape)
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print(test_images2.shape)
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#(160, 28, 28)
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#(40, 28, 28)
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```
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■プログラム（モデル）
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