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| with tf.Session() as sess: | |
| sess.run(init_op) | |
| saver.restore(sess, "model2.ckpt") | |
| #print ("Model restored.") | |
| prediction=tf.argmax(y_conv,1) | |
| return prediction.eval(feed_dict={x: [imvalue],keep_prob: 1.0}, session=sess) |
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