import numpy as np
from PIL import Image

img = Image.open(filepath)
img_convert_ndarray = np.array(img)
ndarray_convert_img= Image.fromarray(img_convert_ndarray )


# np.array(object) 这个函数很强大啊，看源码里面给的注释
# object : array_like
#      An array, any object exposing the array interface, an object whose
#      __array__ method returns an array, or any (nested) sequence.

from keras.preprocessing.image import img_to_array, array_to_img

np.asarray(a):
  return np.array(a,copy=False)

# 而np.array()里copy默认为True，那这有什么区别呢？
import numpy as np

  a = np.array([1, 2])
  b = np.asarray(a)
  c = np.asarray(a)
  print(type(b), type(c), b is c) # True
  e = np.array(a)
  f = np.array(a)
  print(type(e), type(f), e is f) # False

  a = [1, 2]
  b = np.asarray(a)
  c = np.asarray(a)
  print(type(b), type(c), b is c) # False
  e = np.array(a)
  f = np.array(a)
  print(type(e), type(f), e is f) # False