57b96c34797dc03ecdb36bd5fe014eaa89278d69,hypergan/loaders/image_loader.py,,labelled_image_tensors_from_directory,#Any#Any#Any#Any#Any#Any#Any#Any#,15

Before Change

  reshaped_image = hypergan.loaders.resize_image_patch.resize_image_with_crop_or_pad(reshaped_image,
                                                         224, 224, dynamic_shape=True)
  reshaped_image = tf.reshape(reshaped_image, [1,224,224,channels])
  //features = _get_features(reshaped_image)
  label = input_queue[1]

After Change

      resized_image = hypergan.loaders.resize_image_patch.resize_image_with_crop_or_pad(img,
                                                         height, width, dynamic_shape=True)
  else:
      resized_image = tf.image.resize_images(net, height, width, 1)

  //resized_image = reshaped_image
  tf.Tensor.set_shape(resized_image, [height,width,channels])
  //resized_image = tf.image.random_flip_left_right(resized_image)

Instances