深度学习voc数据集图片resize

# coding = utf-8
import Image def convert(width,height):
im = Image.open("C:\\workspace\\PythonLearn1\\test.jpg")
out = im.resize((width, height),Image.ANTIALIAS)
out.save("C:\\workspace\\PythonLearn1\\test.jpg")
if __name__ == '__main__':
convert(256,256)

# coding = utf-8
import Image
import os def convert(dir,width,height):
file_list = os.listdir(dir)
print(file_list)
for filename in file_list:
path = ''
path = dir+filename
im = Image.open(path)
out = im.resize((256,256),Image.ANTIALIAS)
print "%s has been resized!"%filename
out.save(path) if __name__ == '__main__':
dir = raw_input('please input the operate dir:')
convert(dir,256,256)

# coding = utf-8
import Image def convert(width,height):
im = Image.open("C:\\workspace\\PythonLearn1\\test_1.jpg")
(x, y)= im.size
x_s = width
y_s = y * x_s / x
out = im.resize((x_s, y_s), Image.ANTIALIAS)
out.save("C:\\workspace\\PythonLearn1\\test_1_out.jpg")
if __name__ == '__main__':
convert(256,256)