在Python2下运行的代码

我先把工程目录截图放上来： 

import os
import numpy as np
import cv2


def imgTodata(path, imgCount = 128, weight = 1960, height = 960, channel = 3):

    pathDir = list(os.listdir(path))

    # [pic, weight, height, channel]
    imgs = np.zeros((imgCount, weight, height, channel))

    for id, pic in enumerate(pathDir):
        img = cv2.imread(str(path + pic))
        # cv2.namedWindow('test')
        # cv2.imshow('test', img)
        # cv2.waitKey(0)
        # print 'The ', id, ' picture shape: ', img.shape
        newImg = cv2.resize(img, (int(height) ,int(weight)), interpolation=cv2.INTER_CUBIC)
        # print 'The ', id, ' picture shape: ', newImg.shape

        imgs[id] = newImg
        # print id, ' is success!'

    # print imgs.shape

    for i in xrange(2):
        img = imgs[i]
        # print img.shape
    return imgs

def save(path, data):
    np.save(path, data)

def load(path):
    data = np.load(path)
    return data

if __name__ == '__main__':
    path = 'data/'
    data = imgTodata(path,2,  1280, 960, 3)
    print data[0]
    print data.shape
    save_path = 'npy_data/test.npy'
    save(save_path, data)
    data_ = load(save_path)
    print data_.shape

只要修改对应的参数，就可以把自己图片当成向量传给Tensorflow网络。