5d9dbd3cce974dd7652b515dcbd58969ccbf4592,shared/data_loader.py,,labelled_image_tensors_from_directory,#Any#Any#Any#Any#Any#Any#Any#,12

Before Change

  //img = tf.zeros([64,64,3])
  reshaped_image = tf.cast(img, tf.float32)
  tf.Tensor.set_shape(img, [None, None, None])
  print("img", img)
  label = input_queue[1]

  // Image processing for evaluation.
  // Crop the central [height, width] of the image.

After Change

  // Read examples from files in the filename queue.
  value = tf.read_file(input_queue[0])
  preprocess = tf.read_file(input_queue[0]+".preprocess")
  features = tf.decode_raw(preprocess, tf.float32)
  tf.Tensor.set_shape(features, [2048])
  if(format == "jpg"):
      img = tf.image.decode_jpeg(value, channels=channels)

Instances