41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
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# -*- coding: utf-8 -*-
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import os.path as osp
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import shutil
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import os
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from tqdm import tqdm
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import cv2
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# 此函數將原始的紅色圖像轉換為黑白的二值圖像
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def gt2png(folder_path="C:/Users/chenmingsong/Desktop/unetnnn/data/Training_GT", save_folder="C:/Users/chenmingsong/Desktop/unetnnn/data/Training_Labels"):
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# folder_path = osp.join(sys_path, "ISBI2016_ISIC_Part1_Training_GroundTruth")
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# save_folder = osp.join(sys_path, "labels")
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# 如果儲存資料夾已存在，則刪除後重新建立
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if osp.isdir(save_folder):
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shutil.rmtree(save_folder)
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os.makedirs(save_folder)
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else:
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os.makedirs(save_folder)
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images = os.listdir(folder_path)
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# 使用進度條顯示轉換進度
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with tqdm(total=len(images)) as pbar:
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for image in images:
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image_name = image.split(".")[0]
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src_path = osp.join(folder_path, image)
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# 讀取圖像，將其轉換為灰階模式
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img = cv2.imread(src_path, 0)
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# 將非零像素設為 255
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img[img > 0] = 255
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save_path = osp.join(save_folder, image_name + ".png")
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# 儲存轉換後的圖像
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cv2.imwrite(save_path, img)
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pbar.update(1)
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print("標籤轉換完成")
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if __name__ == '__main__':
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gt2png()
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