TensorFlow与OpenCV，读取图片，进行简单操作并显示

TensorFlow与OpenCV，读取图片，进行简单操作并显示

1 OpenCV读入图片，使用tf.Variable初始化为tensor，加载到tensorflow对图片进行转置操作，然后opencv显示转置后的结果

import tensorflow as tf
import cv2

file_path = "/home/lei/Desktop/"
filename = "MarshOrchid.jpg"

image = cv2.imread(filename, 1)
cv2.namedWindow('image', 0)
cv2.imshow('image', image)

# Create a TensorFlow Variable
x = tf.Variable(image, name='x')

model = tf.initialize_all_variables()

with tf.Session() as session:
  x = tf.transpose(x, perm=[1, 0, 2])
  session.run(model)
  result = session.run(x)

cv2.namedWindow('result', 0)
cv2.imshow('result', result)
cv2.waitKey(0)

2 OpenCV读入图片，使用tf.placeholder符号变量加载到tensorflow里，然后tensorflow对图片进行剪切操作，最后opencv显示转置后的结果

import tensorflow as tf
import cv2

# First, load the image again
filename = "MarshOrchid.jpg"
raw_image_data = cv2.imread(filename)

image = tf.placeholder("uint8", [None, None, 3])
slice = tf.slice(image, [1000, 0, 0], [3000, -1, -1])

with tf.Session() as session:
    result = session.run(slice, feed_dict={image: raw_image_data})
    print(result.shape)

cv2.namedWindow('image', 0)
cv2.imshow('image', result)
cv2.waitKey(0)

参考资料：

http://learningtensorflow.com/

http://*.com/questions/34097281/how-can-i-convert-a-tensor-into-a-numpy-array-in-tensorflow