43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
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#coding=utf-8
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import cv2
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# import numpy as np
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# from PIL import Image, ImageDraw, ImageFont
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#
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# # 当前目录读取一张图片（499Kb，1920*1080）
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# img = cv.imread('hintersee01.jpg')
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#
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# # 压缩图片（226Kb）
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# cv.imwrite('temp/compress1.jpg', img, [cv.IMWRITE_JPEG_QUALITY, 50])
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#
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# # 调整长宽（长宽指定数值，非等比例缩放时图片会变形）
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# img2 = cv.resize(img, (500,500), interpolation=cv.INTER_CUBIC)
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# cv.imwrite('temp/resize2.jpg', img2)
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#
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# # 调整长宽（长宽各调整为原来的一半，即 0.5）
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# img3 = cv.resize(img, (0,0), fx=0.5, fy=0.5, interpolation=cv.INTER_CUBIC)
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# cv.imwrite('temp/resize3.jpg', img3)
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## 遍历一个文件夹下的所有图像
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def bianli_pics(path1,path2):
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import os
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img_folder = path1
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img_list = [os.path.join(nm) for nm in os.listdir(img_folder) if nm[-3:] in ['jpg', 'png', 'gif']]
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## print(img_list) 将所有图像遍历并存入一个列表
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## ['test_14.jpg', 'test_15.jpg', 'test_9.jpg', 'test_17.jpg', 'test_16.jpg']
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for i in img_list:
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path = os.path.join(path1, i)
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## print(path)
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## ./input/test_14.jpg
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## ./input/test_15.jpg
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image = cv2.imread(path) ## 逐个读取
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img2 = cv2.resize(image, (1920, 1080), interpolation=cv2.INTER_CUBIC)
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# img2 = cv2.resize(image, (960, 540), interpolation=cv2.INTER_CUBIC)
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cv2.imwrite(path2+i, img2)
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print('第',i)
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if __name__ == "__main__":
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path1 = "./dataPath/images"
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path2 = "./dataPath/images3/"
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bianli_pics(path1,path2)
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