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update README

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@@ -37,7 +37,7 @@ license: cc-by-4.0
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  [Cartoon Set](https://google.github.io/cartoonset/) is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork categories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible combinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes.
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  #### Usage
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- `cartoonset` provides the images as byte strings, this gives you a bit more flexibility into how to load the data. Here we show 2 ways:
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  **Using PIL:**
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  ```python
@@ -70,7 +70,7 @@ ds = tf.data.Dataset.from_generator(
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  )
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  def process_fn(sample):
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- img = tf.image.decode_png(sample["img_bytes"], channels=channels)
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  ...
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  return {"img": img}
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  [Cartoon Set](https://google.github.io/cartoonset/) is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork categories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible combinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes.
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  #### Usage
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+ `cartoonset` provides the images as PNG byte strings, this gives you a bit more flexibility into how to load the data. Here we show 2 ways:
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  **Using PIL:**
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  ```python
 
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  )
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  def process_fn(sample):
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+ img = tf.image.decode_png(sample["img_bytes"], channels=3)
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  ...
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  return {"img": img}
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