1498d9419b799c3df61d8a8b63a879dcbca4504e,research/deeplab/export_model.py,,main,#Any#,110

Before Change

    // Crop the valid regions from the predictions.
    semantic_predictions = tf.slice(
        raw_predictions,
        [0, 0, 0],
        [1, resized_image_size[0], resized_image_size[1]])
    // Resize back the prediction to the original image size.
    def _resize_label(label, label_size):

After Change

    semantic_predictions = _resize_label(semantic_predictions, image_size)
    semantic_predictions = tf.identity(semantic_predictions, name=_OUTPUT_NAME)

    semantic_probabilities = tf.image.resize_bilinear(
        semantic_probabilities, image_size, align_corners=True,
        name=_OUTPUT_PROB_NAME)

    if FLAGS.quantize_delay_step >= 0:
      contrib_quantize.create_eval_graph()

Instances