{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据增强\n",
    "\n",
    "[![](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/r1.2/docs/programming_guide/source_zh_cn/augmentation.ipynb) [![](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r1.2/programming_guide/mindspore_augmentation.ipynb) [![](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/_static/logo_modelarts.png)](https://console.huaweicloud.com/modelarts/?region=cn-north-4#/notebook/loading?share-url-b64=aHR0cHM6Ly9vYnMuZHVhbHN0YWNrLmNuLW5vcnRoLTQubXlodWF3ZWljbG91ZC5jb20vbWluZHNwb3JlLXdlYnNpdGUvbm90ZWJvb2svbW9kZWxhcnRzL3Byb2dyYW1taW5nX2d1aWRlL21pbmRzcG9yZV9hdWdtZW50YXRpb24uaXB5bmI=&image_id=65f636a0-56cf-49df-b941-7d2a07ba8c8c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 概述\n",
    "\n",
    "在计算机视觉任务中，数据量过小或是样本场景单一等问题都会影响模型的训练效果，用户可以通过数据增强操作对图像进行预处理，从而提升模型的泛化性。\n",
    "\n",
    "MindSpore提供了`c_transforms`模块和`py_transforms`模块供用户进行数据增强操作，用户也可以自定义函数或者算子进行数据增强。\n",
    "\n",
    "|  模块   | 实现  | 说明  |\n",
    "|  :----                             | :----  | :----           |\n",
    "| c_transforms                      | 基于C++的OpenCV实现 | 具有较高的性能。 |\n",
    "| py_transforms                     | 基于Python的PIL实现 | 该模块提供了多种图像增强功能，并提供了PIL Image和NumPy数组之间的传输方法。|\n",
    "\n",
    "MindSpore目前支持多种常用的数据增强算子，如下表所示，更多数据增强算子参见[API文档](https://www.mindspore.cn/doc/api_python/zh-CN/r1.2/mindspore/mindspore.dataset.vision.html)。\n",
    "\n",
    "| 模块 | 算子 | 说明 |\n",
    "| :---- | :---- | :---- |\n",
    "| c_transforms | RandomCrop | 在图像随机位置裁剪指定大小子图像。 |\n",
    "|  | RandomHorizontalFlip | 按照指定概率对图像进行水平翻转。 |\n",
    "|  | Resize | 将图像缩放到指定大小。 |\n",
    "|  | Invert | 将图像进行反相。 |\n",
    "| py_transforms | RandomCrop | 在图像随机位置裁剪指定大小子图像。 |\n",
    "|  | Resize | 将图像缩放到指定大小。 |\n",
    "|  | Invert | 将图像进行反相。 |\n",
    "|  |Compose | 将列表中的数据增强操作依次执行。 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c_transforms\n",
    "\n",
    "下面将简要介绍几种常用的`c_transforms`模块数据增强算子的使用方法。\n",
    "\n",
    "### RandomCrop\n",
    "\n",
    "对输入图像进行在随机位置的裁剪。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `size`：裁剪图像的尺寸。\n",
    "\n",
    "- `padding`：填充的像素数量。\n",
    "\n",
    "- `pad_if_needed`：原图小于裁剪尺寸时，是否需要填充。\n",
    "\n",
    "- `fill_value`：在常量填充模式时使用的填充值。\n",
    "\n",
    "- `padding_mode`：填充模式。\n",
    "\n",
    "下面的样例首先使用顺序采样器加载CIFAR-10数据集[1]，然后对已加载的图片进行长宽均为10的随机裁剪，最后输出裁剪前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "下载[CIFAR-10数据集](https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz)并解压到指定路径，执行如下命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./datasets/cifar-10-batches-bin\n",
      "├── readme.html\n",
      "├── test\n",
      "│   └── test_batch.bin\n",
      "└── train\n",
      "    ├── batches.meta.txt\n",
      "    ├── data_batch_1.bin\n",
      "    ├── data_batch_2.bin\n",
      "    ├── data_batch_3.bin\n",
      "    ├── data_batch_4.bin\n",
      "    └── data_batch_5.bin\n",
      "\n",
      "2 directories, 8 files\n"
     ]
    }
   ],
   "source": [
    "!wget -N https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/datasets/cifar-10-binary.tar.gz\n",
    "!mkdir -p datasets\n",
    "!tar -xzf cifar-10-binary.tar.gz -C datasets\n",
    "!mkdir -p datasets/cifar-10-batches-bin/train datasets/cifar-10-batches-bin/test\n",
    "!mv -f datasets/cifar-10-batches-bin/test_batch.bin datasets/cifar-10-batches-bin/test\n",
    "!mv -f datasets/cifar-10-batches-bin/data_batch*.bin datasets/cifar-10-batches-bin/batches.meta.txt datasets/cifar-10-batches-bin/train\n",
    "!tree ./datasets/cifar-10-batches-bin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 6\nCropped image Shape: (10, 10, 3) , Cropped label: 6\n------\nSource image Shape : (32, 32, 3) , Source label : 9\nCropped image Shape: (10, 10, 3) , Cropped label: 9\n------\nSource image Shape : (32, 32, 3) , Source label : 9\nCropped image Shape: (10, 10, 3) , Cropped label: 9\n------\n"
     ]
    },
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(5)\n",
    "ds.config.set_num_parallel_workers(1)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "\n",
    "sampler = ds.SequentialSampler(num_samples=3)\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, sampler=sampler)\n",
    "\n",
    "random_crop = c_trans.RandomCrop([10, 10])\n",
    "dataset2 = dataset1.map(operations=random_crop, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Cropped image Shape:\", data2['image'].shape, \", Cropped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy())\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy())\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RandomHorizontalFlip\n",
    "\n",
    "对输入图像进行随机水平翻转。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `prob`: 单张图片发生翻转的概率。\n",
    "\n",
    "下面的样例首先使用随机采样器加载CIFAR-10数据集[1]，然后对已加载的图片进行概率为0.8的随机水平翻转，最后输出翻转前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 3\nFlipped image Shape: (32, 32, 3) , Flipped label: 3\n------\nSource image Shape : (32, 32, 3) , Source label : 3\nFlipped image Shape: (32, 32, 3) , Flipped label: 3\n------\nSource image Shape : (32, 32, 3) , Source label : 6\nFlipped image Shape: (32, 32, 3) , Flipped label: 6\n------\nSource image Shape : (32, 32, 3) , Source label : 9\nFlipped image Shape: (32, 32, 3) , Flipped label: 9\n------\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(6)\n",
    "ds.config.set_num_parallel_workers(1)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "\n",
    "sampler = ds.RandomSampler(num_samples=4)\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, sampler=sampler)\n",
    "\n",
    "random_horizontal_flip = c_trans.RandomHorizontalFlip(prob=0.8)\n",
    "dataset2 = dataset1.map(operations=random_horizontal_flip, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy())\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy())\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resize\n",
    "\n",
    "对输入图像进行缩放。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `size`：缩放的目标大小。\n",
    "- `interpolation`：缩放时采用的插值方式。\n",
    "\n",
    "下面的样例首先加载MNIST数据集[2]，然后将已加载的图片缩放至(101, 101)大小，最后输出缩放前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "下载MNIST数据集并解压，存放在`./datasets/MNIST_data/`路径，执行如下命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./datasets/MNIST_Data\n",
      "├── test\n",
      "│   ├── t10k-images-idx3-ubyte\n",
      "│   └── t10k-labels-idx1-ubyte\n",
      "└── train\n",
      "    ├── train-images-idx3-ubyte\n",
      "    └── train-labels-idx1-ubyte\n",
      "\n",
      "2 directories, 4 files\n"
     ]
    }
   ],
   "source": [
    "!mkdir -p ./datasets/MNIST_Data/train ./datasets/MNIST_Data/test\n",
    "!wget -NP ./datasets/MNIST_Data/train https://mindspore-website.obs.myhuaweicloud.com/notebook/datasets/mnist/train-labels-idx1-ubyte \n",
    "!wget -NP ./datasets/MNIST_Data/train https://mindspore-website.obs.myhuaweicloud.com/notebook/datasets/mnist/train-images-idx3-ubyte\n",
    "!wget -NP ./datasets/MNIST_Data/test https://mindspore-website.obs.myhuaweicloud.com/notebook/datasets/mnist/t10k-labels-idx1-ubyte\n",
    "!wget -NP ./datasets/MNIST_Data/test https://mindspore-website.obs.myhuaweicloud.com/notebook/datasets/mnist/t10k-images-idx3-ubyte\n",
    "!tree ./datasets/MNIST_Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Source image Shape : (28, 28, 1) , Source label : 5\nFlipped image Shape: (101, 101, 1) , Flipped label: 5\n------\nSource image Shape : (28, 28, 1) , Source label : 0\nFlipped image Shape: (101, 101, 1) , Flipped label: 0\n------\nSource image Shape : (28, 28, 1) , Source label : 4\nFlipped image Shape: (101, 101, 1) , Flipped label: 4\n------\nSource image Shape : (28, 28, 1) , Source label : 1\nFlipped image Shape: (101, 101, 1) , Flipped label: 1\n------\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "DATA_DIR = \"./datasets/MNIST_Data/train/\"\n",
    "\n",
    "dataset1 = ds.MnistDataset(DATA_DIR, num_samples=4, shuffle=False)\n",
    "\n",
    "resize = c_trans.Resize(size=[101, 101])\n",
    "dataset2 = dataset1.map(operations=resize, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Invert\n",
    "\n",
    "对输入图像进行反相处理。\n",
    "\n",
    "下面的样例首先加载CIFAR-10数据集[1]，然后同时定义缩放和反相操作并作用于已加载的图片，最后输出缩放与反相前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 7\nFlipped image Shape: (101, 101, 3) , Flipped label: 7\n------\nSource image Shape : (32, 32, 3) , Source label : 0\nFlipped image Shape: (101, 101, 3) , Flipped label: 0\n------\nSource image Shape : (32, 32, 3) , Source label : 2\nFlipped image Shape: (101, 101, 3) , Flipped label: 2\n------\nSource image Shape : (32, 32, 3) , Source label : 1\nFlipped image Shape: (101, 101, 3) , Flipped label: 1\n------\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(8)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, num_samples=4, shuffle=True)\n",
    "\n",
    "resize = c_trans.Resize(size=[101, 101])\n",
    "invert = c_trans.Invert()\n",
    "dataset2 = dataset1.map(operations=[resize, invert], input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## py_transforms\n",
    "\n",
    "下面将简要介绍几种常用的`py_transforms`模块数据增强算子的使用方法。\n",
    "\n",
    "### Compose\n",
    "\n",
    "接收一个`transforms`列表，将列表中的数据增强操作依次作用于数据集图片。\n",
    "\n",
    "下面的样例首先加载CIFAR-10数据集[1]，然后同时定义解码、缩放和数据类型转换操作，并作用于已加载的图片，最后输出处理后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Transformed image Shape: (3, 200, 200) , Transformed label: 7\nTransformed image Shape: (3, 200, 200) , Transformed label: 0\nTransformed image Shape: (3, 200, 200) , Transformed label: 2\nTransformed image Shape: (3, 200, 200) , Transformed label: 1\nTransformed image Shape: (3, 200, 200) , Transformed label: 6\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.py_transforms as py_trans\n",
    "from mindspore.dataset.transforms.py_transforms import Compose\n",
    "from PIL import Image\n",
    "\n",
    "ds.config.set_seed(8)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, num_samples=5, shuffle=True)\n",
    "\n",
    "def decode(image):\n",
    "    return Image.fromarray(image)\n",
    "\n",
    "transforms_list = [\n",
    "  decode,\n",
    "  py_trans.Resize(size=(200,200)),\n",
    "  py_trans.ToTensor()\n",
    "]\n",
    "compose_trans = Compose(transforms_list)\n",
    "dataset2 = dataset1.map(operations=compose_trans, input_columns=[\"image\"])\n",
    "\n",
    "image_list, label_list = [], []\n",
    "for data in dataset2.create_dict_iterator():\n",
    "    image_list.append(data['image'])\n",
    "    label_list.append(data['label'])\n",
    "    print(\"Transformed image Shape:\", data['image'].shape, \", Transformed label:\", data['label'])\n",
    "\n",
    "num_samples = len(image_list)\n",
    "for i in range(num_samples):\n",
    "    plt.subplot(1, len(image_list), i + 1)\n",
    "    plt.imshow(image_list[i].asnumpy().transpose(1, 2, 0))\n",
    "    plt.title(label_list[i].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "## Eager模式\n",
    "上述介绍的关于`c_transform`、`py_transform`中数据增强算子的用法，都是基于数据管道的方式执行的。基于数据管道方式执行的最大特点是需要定义`map`算子，由其负责启动、执行给定的数据增强算子，对数据管道的数据进行映射变换。"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "random_crop = c_trans.RandomCrop([10, 10])\n",
    "dataset = dataset1.map(operations=random_crop, input_columns=[\"image\"])"
   ]
  },
  {
   "source": [
    "除此之外，MindSpore还提供了一种“即时执行”的方式调用数据增强算子，称为Eager模式。在算子的Eager模式下，不需要构建数据管道，因此代码编写会更为简洁且能立即执行得到运行结果，推荐在小型数据增强实验、模型推理等轻量化场景中使用。\n",
    "\n",
    "使用Eager模式，只需要将数据增强算子本身当成可执行函数使用即可，编写如下代码即可以Eager模式执行数据增强算子。"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Image.type: <class 'PIL.Image.Image'>, Image.shape: (356, 200)\n",
      "Image.type: <class 'numpy.ndarray'>, Image.shape: (320, 570, 3)\n",
      "Image.type: <class 'numpy.ndarray'>, Image.shape: (280, 280, 3)\n",
      "Image.type: <class 'PIL.Image.Image'>, Image.shape: (360, 360)\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 2 Axes>",
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DR2v30fGbJF9YZsjzFUE1eGUxRHuPBOFE8wc8/fjHGY8C440p48k6minaGEKwSPBMqxF4x3wxg6ahEI1VglcKYyZcftHwmf/wp1y6cIiogq1qja2TmmLtAkadYjQOiL7KI1+03PKGEYWq8ItD/EIxGgtnTmzFheZn1HVJUV5lorcR9wq+UFg/i5BiUUJQjKqGremYZvYKzz/xGJsbpwkCdTNH6dCbH1S0O/nWNaZEYhiaBApdtNp5NCUpaH2lHtEBZ5t2HoRCFzjno8eNQPCBgO9wX2SaAsFDkPi/aW1lPvogjVIoVAr1iwZhIrY00rrhEjOQAKqdcyK4i5zLtOa7ZZE6DKdKBCgPP/pE6H7onK5tjBWuMzb2aivgWxeC6jnakv2rvWdZlLbgMRi8muMFSjsCDZNwkUc+9/NsnZxx6+03oMt1inIMoWRUjtjf3yO4Bju7ig6WK5fOM0VhD2bMzu9j/RrFdIeDPU+hGuxiwkF9hV/75w/xznffyP1vOcb+PozXS158+QnuuO2N7C0aNA1Se556bI8vff5Z3v62ExTGMJuP+frjLyLFBnfdN2GzaHCyhpstcKZBijnWlYgqUcUWygSaZsH5S57zO3OOHb8ZM1pDVyOc1kyqtWj30oaqGnfjaYqCoHRnxE7GXREhqN5XSrtwRZtWU+zNKkKraYruLPbJXEHbdjJDSGv70q2YTs9hYDzVWuOlt3UqFUVz4pSr4E9OVLmDXETQP/6hjzzYaQckSk32K4d0bogU9eDRKrmNlg11PUsLvWbQC8Z2sGJslmAiq3eBc098gYsv/xnrWzNqd5XtkzdhTIXS0FiLEoUST+NrLA1GBcaFQXnPwUVHoSZoNHXjqaYFVy4csHt+n3vuOs2pk2tsbU1xiy2qsWO6odHlGrpcEEKFUpbxmuKe+6a88txlTm2f5cnnd9k6tcYTj+5w0w1rbK5ZnJ5TaIULI0TtQzBRC7MWV9doJUzGBWuTMZURfN2waBZx9fvIDVzLcYwy0RcqviWMdkK9R7QQfDuErRE18i1PF3enAhKSzS2Aj1qqVjHutvO5pvi+ti3aGGZFcpZHdqakJ7RuPkPozCoAopOcyqZZBC0K30WS+C4adslVFkKI8jMcDdnp5Ln0LoeoxdiOi8XGHCEs+/uGR3TettTuTeR2xuIFfuzHfpzbbzuFEsfGdEoz20OFBlu3AXceJpM1ymLEqJry6OPP4J1hMQM/bdjaLvnlf/m7/N+/8llGxSk2pid46C+e44tfeIw/++y3YL7BH/7eZ9iYbLA2PYYyNSPjWJ96grJ4NWf71E289b1nWfAK33jiHBfPvcz3ve9O1kcWXxcQChbuEhpB+THiC5QL4BbREV8blHccm2pKf5XN0SFTfYg7uEy92KNZHFDPD6jrOfP5IXU9xzmHtZYQXDRvhBjzr6R380EMTYoE4vGhiYqQtwTb4JuagEcCWFtHQsQRcHib3GYNKXfDe4sNFudT8EBrdHfLoD5ZG8Q7fFOTnGpDb40PFiU9LeTmrHSd/vCHPvqgyilWegwlksJpdPYby1yL3oaSfGNR3EJypudsVbcSPohCygaP5tbTp7j55DmCmjGfzTh9wykW84aq2MCHGpUGMFiCs2xO19AOdi5eYe538QfCX3zuSd7//rdy4tYpvjjkzW+/EzPZ4YG3v56TZ0dUG4H1k2NUNcZMBTWbgi0xIyjHG+hCoSi4eOkyN589zW23bDDfN7zw7FUO9s9z7MQW01LwwbCoZxglNNajRKPweKdwIfpGXTPHNTWjUlMY4XDusK6OmEySK7+XGELAKJMMWjhnozYYom2sm3gS5kqBCu269a0DveVqhBCZmGpdn0qjJNoEgoIYeODTj+0crbZfdmJVku+zD1LQWhN8n5vgQw+rcruZPPzNx8Iy0YB0RjAfbV7pJlIvIZBi490S0eUdjceyoTayeU8QjxJHUCOOjyrmL/xDDhfPY/0Bm8c2WZtso9RmR7BGC/ODKxgNeztXUPMFhdIcXj3gUx//E/7aD/1V1Miz0MJ84TBGYReKstIgFl+XWHYhGJzXzC9dwNXC5vYWTXL++10Wh4LbuczliwvOn/dcuHqFO2+dUJRb+INLHIZ15vM5C7vH1YtbPPX889xx+xlMYakmhiAF3gWqasyrF6+AHlGMNlk4aFSBM2uU1RrKlEhRUpQVxpSUZYk2JejougoCWkU/YG526BSozgwRzQ7SurWUMgStOk2WVuNTyRWmS4xRnc9U0J3PVLVmjtz80BFZZuLImY7CY1tx6bwnDzdqmgZjzOpss44deukMa2QEljqS/80JLBFlHha81L5YBIu2BVjHlb19PvvZZynLGzHmJOPqLFqdQDHFmFMovUXTlBi1TnAlG+vb6GpCkAL0iB/64Pezpw85EMe8PkSpGhU8ZuoIYiNBF5aymDAuN6mMYu3ECTZOHcfKgtF4jaDG2GAoRgUH8ykPfellbrlpg+9866089fQrODNndHyLnUtzvviFl9jbcTz0lZd4/etv4JUXPc6NkOCRsMAzo3ELppMNjFqn3r3CRDvKYKGeU88OWBzsE5qapq5xtsZa20aMuC4ydpjq1mOcnhEEH6EKLVxxrsE7R9M0WBut+iEEfOvQTq6oKJ4dqEDjLEGWn5c+yREeeU6Kt7NL16YMrBybhxAoimjkVSIxosIL1M5239OFCRvE6IGeawUfLcMhRJ6dBiAPamwptR2QFriKjQ7YYLAqntOF4cH/9d8hxRs4nAd2Lu7gXcHl3as4o/CcZHd/AynvIBRnCcVJfDhGCNuM1TZSHIe1KaqYcHxsmOgxpgjMRGikRKymVgbn54wKmGlhXBVIVYAbRWOmCkxlg2q8wfHJOu9+9+18889ewR8o7n7nvaxvTSnNjPVNzfYJKFA88B1jRlXN6+5ZcHnnRaJdomZUlHjnKMuGrY05X33OcfmVPYpwhXGzT1EHDq2lme9h54c08znz+ZymnuPrBX6xoKkdhIbgLYUQsWDS/lU+5tGE4UODD3WrTIQOKwXrCNa2ZgyH9QtCcKigCDaAbQMgnYWUkJNxy5zIU6RzT0wKr4r4CYJCR+9PcFFapUUhIh0lJhabwo5zrpY7yLtDEqdyS51ZZXAd+rPyl/De8yffeAa1cR+jzXdw4Ca8dO4FNtbHuL1DQjhkY6sC8WgzBXWcycYZruwfwvFNxmqLr37iUcbVaRYbb2ZfjlFMbuRUs80f/+Yf4MYTNpzCTG5kf99icBg9ptk7pNgoKNYVo80Ktb2O87BQU771rTnv+dH3Mr3zBF/7red49M/PIcduYPuWCQ+8+ya2bx6zs3NIaUZsro85uAqjKmAKWk9Eg3cN3lk+8JZjfOpLL/Hwo4eIucJ0co6NesZhvWAx26OpD1nMD2jqSGi2WeDrWYziJWpsdV1HBtDaonL/csdRJLoBbb0guHifdfUSNwouGkrzVMDhfOUcKV3jWu6Yx/RHo2sdCdT37WjV2liTOeVDH/7og9CaTLu4sB6DhezBMW5M94Qiy0kMeaeW1GHp/Vqr3EoiwtwtCBxnXLyBjc172TxxB7uHgcZqRqWl0AYlIZoyFvu42nJsYxtz0eDXNTdNb8VdOWR8WmF3L/HJX/8D7vzud3PP+97JaHyS+bkLXLx0gRtPbjLbuJFRPeOPf+vj3Hv/PRQB6sZRhIpPffqPOP/IeW75ztvZvFmxXq7x0Dce4gM//F14PLrU1DNBfMnOzmVGo5KihFtvW28D/FpjpTI4u8A6T9COt731fn7n95/k5LSgNJrR2ozaapSOoTuqaA2t3lO0iz0kxzeCD44YaqSjEzwb66jxhy6wMIL80DnYlTbxHh3zEgRB6TYKWjTS4S5IwP6a8ycx+CHmbXiMEZSOkclKooE5+OgOUwiEdhnkmkTiWFprhuRQtOHZyxzpKG4YaiY5R1t1pJcNUmOrKxwWsGPP4scfQNbfw9zdyysXJ+zPYdFENX1rc4Rzezz4z3+Ob55/hvHNJf/iV38Juag55U7z1CPn4Znnca++zFpzwPkrr/KpX/kElxvFrcUYc+NNfP9/92PochM13sQsPE7V/ND3fTez+Q5veuAuRmvrqLUxH/yx9+HKA9R0gnYjCjVlPC64654bqOcF9WzMYtHE0HNdMJ/XNPUhSgeMsiz8nJef/jIf+lvv59itt/LquYscXqk5MfGEZg6hxtbzDsfWdU3TNDR2sRRqDSxh5NzSrjNbW+J+0uK0upkDMVw6MQtvXYuZXRsB0uc6rOJuaT7TdUnxS2aOFJ+WzBgJ+4kI+ic+9JEH08m4ZgTfpVVF95Bqw0W8W7bsJqqHZYofaqtHNc7lQ0QwyqP8CNwk4kDxKK9QGPblDMX0dXg5C8U9eH0npriT0eR+zj1zkbfe9T00fod3/vB3E6oRo/Uz3P7+e/nFf/RLvOHND0C1xentM7zzP/0AzTMv0OytU009Zn2TP/nsF7jvu9/HeG2Lnf1dysmI17/5dtAF9cLy9a9+ndtuvpWP/5s/5q4bb+A//NYfcencDnfffRajxlRjzxNPPs+LT5Wcfd2EIIbgNdZ5TBFT3VRQTNePIbNX8RsnefblmtfdVLJ/cZ/p1pjgGpqYx4Jv48tDSCYLHTGXbw2ryXXEsgE8emgidOmy+Vt+hsQ8zWiGbS34tNYCUVEStdelzDIRtTTX3dxq1ZmqvAtdPkaKnyPEDCfv+jxM+dYjT7Sgqwd7Qdq0LQTxbW0IXKe6dgkVKYtIjqbK/2UILZ73KAoMgpYmBhB6hRaP1RYlBu+ia8UJOL9gPCqQwxpTasJ8h8m45NLsCZr9PSa6wF19hFObW4xp+PzXv8yv/tPf5p/80s/x0x/9e9x2R4ELmv/yv/jbjG86w0d/5kH+8f/0v7C7u8vuwTO88NVvcOv9r8eGkuc/93luv+VtNKM5D33+ae68+wymbDj/6gLrdziYHeLmp6C6iLOa3d2YsFv7OfUCgtRMiimz2iCl8Mp8jfPP7XPzqcuYYp3pxjF2/YRgJtHkUU0xRYnWRWfaEKMpqtGSFV4p1QUfduKtDaePv+uomCnThYKjTAyebN1VpixIgZK6qLpQLqXNESJLZoyOqEIMXo1uKED6tDitNd5GTmu8EHMsJTrDUwJFDF/sg3qScTZ/oWjtS0msvbU/x14r3U4D4gMwKUcSjSUSeqNjepaSEd7RigRHqUOM9ZrPoaiwytPoG7BWoUZrjMoZUxSLE/dzqT4k7DzHne84wy/88vcyM56/849/imcfeoKTt9zEZz/3pzz55JO8a3KcnWaPMZ7bT7+B/VMXqMIcv+d5/pUL3HmPQdQhN9w2Yn3bcPHCIa+cf4Fbbj7Ll7/8ON/xnRULP2Ix96ytbXDpyg5QMhlN+fMvPMlb3r7JbL6DvVxz+x2eb3zlHHfffScju0Mzu8p4Oma/maOCgqLC2aitRRGn0dKnJaIUStNxrOgWbF1FPix5f2IsmMNbUCbG7MV2QocHjYkYK4q3WE/kWt6fFLWR6KAwZfQYGUNtG4qqxFkLLiYkiwjy0LceC0b6hM1EEF6iXSQdKaM4XbNUH+JIQKK6xvmjR2fuaJ3ueI9ROnJHodNcVYqr6o7WqT+wzaTIoxBiNIkY38bbG7A1hVqguYp2l5gUCy6/+FU2Rgq/aFhb3+YTv/tJ3v76NxFKzRPPf4vXv+VOnvrq17jzjtczrz3BeK6eP4+ctzz31GWeP3eO2+46zYHf5eEvPckb33Ynf/TpJ3nbW8/SOKit4/K5l9navoVLF/bZvEFYHAhra2f41Fde5A13nGK6sYgxccWIvXAaxyZF4dDViKKsInHogqoc45RCtEYXph2nmKWe49/QRlcEFUV1CCC6ihGwhUGL6dIWTVHivWc8Hsfx1iVKGZRojNZtO4Jp519pgTbESHxYoheyqkpLCsMQSw1FnkpaAv3kDan8OiT0mlfkzwqhcwN31W2Gbo687RBCV2Ig9SsPuvRBYT0EGmJBCo3zIxzHOFQPcNHdw/jm98Lxe2lGx/kHP/sz/OBffR9rD7yOKy+/yq88TrDaAAAgAElEQVT+n5+ksNvc+87vYvfqIY3S2AY2Tt3IFb0P6wse/vJLFHaMdiPe+Z4HqEbCW992B+XUUVQWQbO2vc7F3TkPfekydm6ojHA4u8L73nUP/8/vPU7TOMblJqU0jJqrWL3fGkdDa24IndlBpUQfH5ZMGbkBvKsPN7Dai/RVmZJC4aylKIrWXJKNbq5dZuaJFAKdnrfkEfCZ2ctn/fnGI4+HZCc7gpv8staZR0QCWYj1tTjWKiJbvjZvM3FLaUVA7xfN8GLoF0Rqr8Mjw0dJgZIaUQ4jJd4JSsrWAj6nqKpopHT7jNUOY55DsYc3ijIoXH2I9oqf+LGf5H/7xZ9lf/dVxvs1e9Uc3Xj2X73M7ksXKNwINxNmozkEy+WLc5S37F927F3d5dKhYTqqsYtdiu1tdDOj8Q3nXtyjuP07efxLD/NdbzsdzRN6zKvuOAtfMB2tocoCU1ZdZK3WmmAUypTRZaNUHxKfc3VpIVJQMVFXl5FwoY2SiPcaU6DbdkQrpIjG6aLNyvJh2Wmekpg1KWkl4XJNkL4Mg4h0Bf3kG488HlIMf05oSqmujsSQ23WGvGtUUIyKQDblmTsqjzFbJp4+Hk2LAXxXDTG0jucEOPt+9oR49PCtFhbdHhIkgmQRnCQzQBTJCtVWB4rW76K8ykZ4FK09n/j9T3D/yS0+9gu/wkf/7t+nOTPBK+Fg9wL1/kUWV3cp6sC//eXf5Ad+4LtoZofMw4jDcB5XF7zwbMNv/M4T/LV3Hmdvfsh4HFiEERNlcJMxUtZYuZf5wWUmo12EAhvGXJEToCrKyZSgFGU5ojRV1AAL0xGeC4GiqDpCSClzQWj9wyYOkam6PAylVB81qyOhIcJoNMKJQbShNGVPXJkLMc9qSnSRomm90Ibot6E/rRFM/8SHP/JgtHvExrqIDH/UOp9TaVJzOWJNg2HcUf6/tCpzJCrdtiHLSgXRYLjs3pCunZ7oW+Wj+y33UkgMQXExiiQ+t3W3KIdt+2GCoEKs3yViCEqBnyIcYzaq4erzbKJ5+3d8J8888zihbtjcuIHxsQ3mgDrw6KC47y2vx7lAM6/R4wKkomzWme3v8KY7t5lWDWptg/3Lx/jEF85x380VaqRQTUDJVT7zFy9w082nGQeHGgvzWUDMCC8SzRii0ErHdDsdJxOJOZY21SBLoi2NTJubqSQmsiylZqTARR1T+Lr7tUFUHI/cPdhhPtGoIGitBvTR4t5uvmgjTRSxuZZookO19zl5lrOQcoJb5T7qjqD6D0Tu1X5CCG3qlfm23E/RqMcyZ3wN8Zz3z0tMjnHSvk+IXLbwAeNi+02zwIeA09JmhHv2ZAN9cD9n3/S3OXXvO5G7b+DEu+7l8S9+Hi49y5Wrl5geP4MfBdxU0RQlfq4wfsLBVUfjFzTs8eSzL1CVNUymVEWDtVd4x33HMLrAq1j8pVKOu+86zcVXXbT6u8DGCIJvYg2PkMeGuQ6LJcxTVdUSnInEkOHowRyKCKJCl5mW2uqYRxuyk3Mr6JOM8lDr5Lv2rYM9ctD+OSGEHjSlaMZkypBBJ11YTiK4JoENjzDEZX3cWU6IMaSnJ+pI4LLyutxferT9/gWdRKLxOmDFYsWDKgh2QnAjAgVOAYUCE9C+pgyemXjKRcOVcsGcNS4U38F0/T0UxVle2DjN5c0bOTY9za8/+I/4Zz//r9m65Q42T28wOb2NmYw4feMxmpllU6/zwB03srmlOHNqC72o+MzX4PUnNGxo1oOhGsUk5tuPCU8//DhXrEI5jZFd8I7gLd7GiAmXJraNYEj1SVxb+6Npms5WFuftaBWeTgHIfNHRNtr/NvxAH5CYw6ZEM8mnKrrPkArS05T+8Ed+8sEULZ2cmkny+Nb2lUoIEUInwuKTBhwlJNF1ZMqzDySx1nUYRRDXFSJR3fn48qpbmAmTtTHtXbLK6mfFNRaBL562eqIH5VAmWqt1EFSICa8BwYpQeoU3GhM0WgxaSg6aCVZu5c33n2ajmMFozH3f/U6OHTT8zmd+n7f/lffjlOPn/8Wv8a7veYDN6XEO9/c42FGsbRtsE8f21k1o5AqumSOjMSGMcHZB0JaTp09y7kXFZGtBWUyYhqvsyBYOTaUFpQsEh1c6Jli3sV1KgajoV05BkWn8RFRfJEZJV4sWEVLYt9JRDHulUaK79Dm06oImg4o4TKV7lCZi2hiGbkyBs26ZgyZ8vzQ9mQjs8vgkRmnkNrP/v8dQrY7ndMeq0wr1SxhrWZx+e8cypkj+2LSSvRyFBLmdLUGIpmmiBqcMtbqdoE9ycHAFrUo+9ZU/4z/7mz/C2K+xvnUbP/XTH+X4dB13UkNZcPamkxQ68JnPPMRoTePKS0w3tzh940nGVYH1uxSFxdYLysrz1FNPURjpwuGNnxO8Y17bGEItqjNRDMuoJwmTxlXn4nNQZyzP+o4jFVOy82uSDXJoZhrOSV42NRfZSZFTMSzsqB8MYlhIaiitmyXMlIuqa4itVcdKQvHSKRtLmS/EKj4ellwq3z6xqVjOWPoBsc7RWIvzvnv33DHsWt+tz8Bx4yyiFTM5zmX9VlT1HwFr/N2f/d+54dZbYd7w0z/1PzA9cT+f/PRnWN8Yc+LmDX7j3/0hBMMP/413sHVmwgPvfRNn7hqxsT2iWVjwawRfMBlrNA1ve+BWZntAiFGlm3KIoUG11XIWwUTHN8vYtctxbN05eeVq2rGzLWZK4Tq6nU/VjbnCqMSpkjQBbXo/5lKoT5bRBHRiOh29nbU9bPBt6aHew5+KeuhBY0sAM6i+ynPW+KpjFQdbbnO5BuvKOlqD9q5HaHmt7Ogqk87oWJbR0r2oa2w4WvM2hBC5d2hXo9FtRrfBqZK5Mlj3Nh57+nnEjGGr4L/6j/86E32F/+S//SnKYo3trdN86O/95/z73/4mi2aOrsbMGks5PsHLL8InP/kKhRkzO4yRJcYIa5MC8YJr5ngClTSInWObulsIeXxYHmOWjo7YErfptPmsvMBgLtP3nmO116Uoj05BbM1XbZmExAiUWS56vJRB/vCjT4Q+p7If7ORqSqz5yAQMiGRITNea/Jwd5wSWitzF31cX+MjNKorlgVt1DHXQFJ4SB6wPb4mGTrNU0SY+u6+NmrKzvBKKECDUlNUE1VxgMn4yRvvODqmNRfkZ8/2a3fPfws4v414MeLXPxz7+h7z/e99FM284//JVvG3YP3AEb5jNd5k3cDgPNLViuq5QxRpVVXFhPqIuT2DGm+hiTKEEM465AaILjFFok2pomI6jKK3xIhBi3H/i5CYRQJuHaYqSqqpwSlEWI5QyMdkb2nIKbcJMO9Y2xPNILybzeR0uWAUsZf6mHzr3TKaO0k7sskqcA3o6M8XwyB+cU3lqM37J616lCe5j2PI49GGbr3UkA2RMjEmbORiC0qBjERQXBJ9Fmqb3SmaX4AXtFcGNUMBiPqMptjg4eBuHixGsraOdENRZzPqI4zfcj147xombXsfL5w94z9vfg1oo/tnPfYmXn51j1gpO3VQxWZMYbaE106lmMpkg3uAlVvHZKi2lWsQM8FDjkBZPLmuL6fChK2zajbNOOE16A2qH3dqaHbH4S4zQSIDfOReB0oAppIJ8y7vVLHuOujwQsgcu2adWiQ+RTk19rUIrQ4pO53IbT35d2k5nyNaHQDM//5q4rO1jMsGk6z29UppEiyMC6SXzjA8dJ+9gBIGZvooNBhMMOEUorhLcG3F1g2UdpV9i5G/CrN/M5onbadTL3H7Hbdxy600oSu66S3P3PdtsHd/AuYASg/MLVFAII778xecxpurGQmNRqTBxCJ1LKIH99A7DgifpbxrjcVVFV2ErETqzle4L8Q3nTRV9ZaAhcSZ3Vhe2r/p28jmLla9CjF4w0hrgfIg1WNuynZ42TonQD7xPhEf7SUCxZ6tLxNl2YlikrdNesJ24jG2lin69SwliuEq0wyz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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import numpy as np\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset.vision.c_transforms as C\n",
    "import mindspore.dataset.vision.py_transforms as P\n",
    "\n",
    "!wget -N https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/banana.jpg\n",
    "img_ori = Image.open(\"banana.jpg\").convert(\"RGB\")\n",
    "print(\"Image.type: {}, Image.shape: {}\".format(type(img_ori), img_ori.size))\n",
    "\n",
    "# Define a Resize op from c_transform and execute it immediately\n",
    "op1 = C.Resize(size=(320))\n",
    "img = op1(img_ori)\n",
    "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.shape))\n",
    "\n",
    "# Define a CenterCrop op from c_transform and execute it immediately\n",
    "op2 = C.CenterCrop((280, 280))\n",
    "img = op2(img)\n",
    "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.shape))\n",
    "\n",
    "# Define a Pad op from py_transform and execute it immediately\n",
    "# Before calling Pad, you need to call ToPIL()\n",
    "op3 = P.ToPIL()\n",
    "op4 = P.Pad(40)\n",
    "img = op4(op3(img))\n",
    "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.size))\n",
    "\n",
    "# Show the result\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.imshow(img_ori)\n",
    "plt.title(\"original image\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.imshow(img)\n",
    "plt.title(\"transformed image\")\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "MindSpore目前可以支持Eager模式的数据增强算子包括：\n",
    "\n",
    "- [mindspore.dataset.vision.c_transforms](https://www.mindspore.cn/doc/api_python/zh-CN/r1.2/mindspore/mindspore.dataset.vision.html#mindspore-dataset-vision-c-transforms)\n",
    "\n",
    "- [mindspore.dataset.vision.py_transforms](https://www.mindspore.cn/doc/api_python/zh-CN/r1.2/mindspore/mindspore.dataset.vision.html#mindspore-dataset-vision-py-transforms)\n",
    "\n",
    "- [mindspore.dataset.text.transforms](https://www.mindspore.cn/doc/api_python/zh-CN/r1.2/mindspore/mindspore.dataset.text.html#mindspore-dataset-text-transforms)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
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    "## 使用注意事项\n",
    "\n",
    "在数据管道处理模式中，请勿混用`c_transforms`与`py_transforms`，因为两者在管道中运行的方式存在差异，混用会降低处理性能。\n",
    "\n",
    "（注：Eager模式混用`c_transforms`与`py_transforms`不受运行方式差异影响）\n",
    "\n",
    "![map](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/images/map.png)\n",
    "\n",
    "混用会引发C++与Python切换的成本，建议不要过度混用两个模块的算子，但是适量混用是可以接受的。\n",
    "\n",
    "**推荐的使用方式：**\n",
    "\n",
    "- 单独使用`py_transform`或`c_transform`\n",
    "\n",
    "    ![tranform-c-py1](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/images/transform_recommended_1.png)\n",
    "\n",
    "- 先使用`py_transform`，再使用`c_transform`\n",
    "\n",
    "    ![tranform-c-py2](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/images/transform_recommended_2.png)\n",
    "\n",
    "- 先使用`c_transform`，再使用`py_transform`\n",
    "\n",
    "    ![tranform-c-py3](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/images/transform_recommended_3.png)\n",
    "\n",
    "**不推荐的使用方式：**\n",
    "\n",
    "- 在两种transform之间频繁切换\n",
    "\n",
    "    ![tranform-c-py4](https://gitee.com/mindspore/docs/raw/r1.2/docs/programming_guide/source_zh_cn/images/transform_not_recommended.png)\n",
    "\n",
    "## 参考文献\n",
    "\n",
    "[1] Alex Krizhevsky. [Learning_Multiple Layers of Features from Tiny Images](http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf).\n",
    "\n",
    "[2] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. [Gradient-based learning applied to document recognition](http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf).\n"
   ]
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