scipy.misc.imresize改为Image.resize方法

@numpy.deprecate(message="`imresize` is deprecated in SciPy 1.0.0, "
                        "and will be removed in 1.3.0.n"
                        "Use Pillow instead: ``numpy.array(Image.fromarray(arr).resize())``.")
def imresize(arr, size, interp='bilinear', mode=None):
   im = toimage(arr, mode=mode) # im为PIL.Image.Image对象
   ts = type(size)
   if issubdtype(ts, numpy.signedinteger):
       percent = size / 100.0
       size = tuple((array(im.size)*percent).astype(int))
   elif issubdtype(type(size), numpy.floating):
       size = tuple((array(im.size)*size).astype(int))
   else:
       size = (size[1], size[0])
   func = {'nearest': 0, 'lanczos': 1, 'bilinear': 2, 'bicubic': 3, 'cubic': 3}
   imnew = im.resize(size, resample=func[interp]) # 调用PIL库中的resize函数
   return fromimage(imnew)

解决方式就在提示错误的下面，照着更改，就可以了
参考链接

from PIL import Image
img = np.array(Image.fromarray(myImage).resize((num_px,num_px)))

总结：

1. 导入模块from PIL import Image和import numpy as np
2. 将图片打开
3. 转换成asarray格式
4. 设置需要转换的高度和宽度即可 np.array(Image.fromarray(a).resize((resize_h,resize_w)))