tf.image.decode_jpeg returns wrong image

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import tensorflow as tf
import matplotlib.pyplot as plt
import cv2 
import numpy as np
sess = tf.Session()


jpg1 = cv2.imread("test2.jpg") 

jpg2 = tf.read_file("test2.jpg")
jpg2 = tf.image.decode_jpeg(jpg2) 
jpg2 = sess.run(jpg2) 


cv2.imshow('jpg1', jpg1)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imshow('jpg2', jpg2)
cv2.waitKey(0)
cv2.destroyAllWindows()

original
tensorflow's reconstruction

Total difference between pixels on original vs. reconstructed: 12563624

I am trying to load images into tensorflow, but the pixel differences are obviously too large and the color on the reconstructed image isn't true to the original image.

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

add a comment |

import tensorflow as tf
import matplotlib.pyplot as plt
import cv2 
import numpy as np
sess = tf.Session()


jpg1 = cv2.imread("test2.jpg") 

jpg2 = tf.read_file("test2.jpg")
jpg2 = tf.image.decode_jpeg(jpg2) 
jpg2 = sess.run(jpg2) 


cv2.imshow('jpg1', jpg1)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imshow('jpg2', jpg2)
cv2.waitKey(0)
cv2.destroyAllWindows()

original
tensorflow's reconstruction

Total difference between pixels on original vs. reconstructed: 12563624

I am trying to load images into tensorflow, but the pixel differences are obviously too large and the color on the reconstructed image isn't true to the original image.

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

add a comment |

import tensorflow as tf
import matplotlib.pyplot as plt
import cv2 
import numpy as np
sess = tf.Session()


jpg1 = cv2.imread("test2.jpg") 

jpg2 = tf.read_file("test2.jpg")
jpg2 = tf.image.decode_jpeg(jpg2) 
jpg2 = sess.run(jpg2) 


cv2.imshow('jpg1', jpg1)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imshow('jpg2', jpg2)
cv2.waitKey(0)
cv2.destroyAllWindows()

original
tensorflow's reconstruction

Total difference between pixels on original vs. reconstructed: 12563624

I am trying to load images into tensorflow, but the pixel differences are obviously too large and the color on the reconstructed image isn't true to the original image.

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

import tensorflow as tf
import matplotlib.pyplot as plt
import cv2 
import numpy as np
sess = tf.Session()


jpg1 = cv2.imread("test2.jpg") 

jpg2 = tf.read_file("test2.jpg")
jpg2 = tf.image.decode_jpeg(jpg2) 
jpg2 = sess.run(jpg2) 


cv2.imshow('jpg1', jpg1)
cv2.waitKey(0)
cv2.destroyAllWindows()

cv2.imshow('jpg2', jpg2)
cv2.waitKey(0)
cv2.destroyAllWindows()

original
tensorflow's reconstruction

Total difference between pixels on original vs. reconstructed: 12563624

I am trying to load images into tensorflow, but the pixel differences are obviously too large and the color on the reconstructed image isn't true to the original image.

python tensorflow

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

edited Nov 14 '18 at 2:05

asked Nov 14 '18 at 1:05

Max Wolff

112

asked Nov 14 '18 at 1:05

Max Wolff

112

asked Nov 14 '18 at 1:05

Max Wolff

112

add a comment |

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