How to fp16 image to fp32 image; Python numpy.transpose 详解

import numpy as np
import glob
import cv2
import scipy.misc


image_dir='./'

img_height = 64 # Height of the model input images
img_width = 64 # Width of the model input images

for pics in glob.glob(image_dir + '/*.fp16'):

    picName = pics.split('/')[1]

    image = np.fromfile(pics, dtype=np.float16)
    image = np.reshape(image,[3,img_height, img_width]).astype(np.float32)

    image = image * 255.0
    image=np.transpose(image, (1,2,0))

    #cv2.imwrite("cv_test.png", image)
    cv2.imwrite( picName.split('.')[0] + ".png", image)

　　

 or 

img_height = 64 # Height of the model input images
img_width = 64 # Width of the model input images
image_file = "5938dde6f51cd200a32e7608.fp16"

import numpy as np
image = np.fromfile(image_file, dtype=np.float16)
image = np.reshape(image, [3,img_height,img_width]).astype(np.float32)
image=image*255.0

image=np.transpose(image, (1,2,0))

import cv2

cv2.imwrite('t.jpg', image)

　　

将Numpy数组保存为图像

https://vimsky.com/article/3697.html  (good link)

Python numpy.transpose 详解 

From： https://blog.csdn.net/u012762410/article/details/78912667