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[#55] Fix TFImageTransformer example in docs #58

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phi-dbq merged 1 commit into from
Oct 14, 2017
Merged

[#55] Fix TFImageTransformer example in docs #58

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12 changes: 6 additions & 6 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -131,16 +131,16 @@ Spark DataFrames are a natural construct for applying deep learning models to a

```python
from sparkdl import readImages, TFImageTransformer
import sparkdl.graph.utils as tfx
from sparkdl.transformers import utils
import tensorflow as tf

g = tf.Graph()
with g.as_default():
graph = tf.Graph()
with tf.Session(graph=graph) as sess:
image_arr = utils.imageInputPlaceholder()
resized_images = tf.image.resize_images(image_arr, (299, 299))
# the following step is not necessary for this graph, but can be for graphs with variables, etc
frozen_graph = utils.stripAndFreezeGraph(g.as_graph_def(add_shapes=True), tf.Session(graph=g),
[resized_images])
frozen_graph = tfx.strip_and_freeze_until([resized_images], graph, sess,
return_graph=True)

transformer = TFImageTransformer(inputCol="image", outputCol="predictions", graph=frozen_graph,
inputTensor=image_arr, outputTensor=resized_images,
Expand Down Expand Up @@ -241,7 +241,7 @@ registerKerasImageUDF("my_keras_inception_udf", InceptionV3(weights="imagenet"),

```

### Estimator

## Releases:
* 0.1.0 initial release