# 比较与tf.io.decode_image的功能差异

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## tf.io.decode_image

```python
tf.io.decode_image(
    contents,
    channels=None,
    dtype=tf.dtypes.uint8,
    name=None,
    expand_animations=True
)
```

更多内容详见[tf.io.decode_image](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/io/decode_image)。

## mindspore.dataset.vision.Decode

```python
class mindspore.dataset.vision.Decode(
    to_pil=False
)
```

更多内容详见[mindspore.dataset.vision.Decode](https://mindspore.cn/docs/zh-CN/r2.0/api_python/dataset_vision/mindspore.dataset.vision.Decode.html#mindspore.dataset.vision.Decode)。

## 使用方式

TensorFlow：将图像字节码解码为指定通道数和数据类型的图像，支持解码动态图。

MindSpore：将图像字节码解码为RGB图像。

## 代码示例

```python
# The following implements Decode with MindSpore.
import numpy as np
import mindspore.dataset as ds

image = np.fromfile("/tmp/file.jpg", dtype=np.uint8)
result = ds.vision.Decode()(image)

# The following implements decode_image with TensorFlow.
import tensorflow as tf

raw = tf.io.read_file("/tmp/file.jpg")
result = tf.io.decode_image(raw, channels=3)
```