{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 通用数据加载与增强\n", "\n", "[![下载Notebook](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r1.8/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r1.8/tutorials/zh_cn/advanced/dataset/mindspore_augment_common_data.ipynb) \n", "[![下载样例代码](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r1.8/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r1.8/tutorials/zh_cn/advanced/dataset/mindspore_augment_common_data.py) \n", "[![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r1.8/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/r1.8/tutorials/source_zh_cn/advanced/dataset/augment_common_data.ipynb)\n", "\n", "在处理图像、文本和音频等不同类别的数据时,需要使用到一些通用的数据处理和增强操作。\n", "\n", "MindSpore提供了`transforms`模块用于执行通用数据增强操作。\n", "\n", "以下章节将以CIFAR-10数据集和MNIST数据集作为例子,简要介绍一些通用数据增强操作的使用示例。更多详细信息,请参见API文档[mindspore.dataset.transforms](https://www.mindspore.cn/docs/zh-CN/r1.8/api_python/mindspore.dataset.transforms.html)。\n", "\n", "## 加载图像数据\n", "\n", "1. 以下示例代码分别将CIFAR-10数据集和MNIST数据集下载并解压到指定位置,网络状况良好的情况下此段代码预计需执行三至五分钟。" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "from mindvision.dataset import DownLoad\n", "\n", "dl_path_cifar10 = \"./datasets\"\n", "dl_url_cifar10 = \"https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/datasets/cifar-10-binary.tar.gz\"\n", "\n", "dl = DownLoad()\n", "\n", "# 下载CIFAR-10数据集并解压\n", "dl.download_and_extract_archive(url=dl_url_cifar10, download_path=dl_path_cifar10)\n", "\n", "# MNIST数据集保存路径\n", "dl_path_mnist = \"./mnist\"\n", "dl_url_mnist_labels = \"http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz\"\n", "dl_url_mnist_images = \"http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\"\n", "\n", "# 下载MNIST数据集并解压\n", "dl.download_and_extract_archive(url=dl_url_mnist_labels, download_path=dl_path_mnist)\n", "dl.download_and_extract_archive(url=dl_url_mnist_images, download_path=dl_path_mnist)\n", "\n", "image_gz = \"./mnist/train-images-idx3-ubyte.gz\"\n", "label_gz = \"./mnist/train-labels-idx1-ubyte.gz\"\n", "\n", "# 删除压缩文件\n", "if os.path.exists(image_gz):\n", " os.remove(image_gz)\n", "if os.path.exists(label_gz):\n", " os.remove(label_gz)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "2. 使用[mindspore.dataset.Cifar10Dataset](https://www.mindspore.cn/docs/zh-CN/r1.8/api_python/dataset/mindspore.dataset.Cifar10Dataset.html#mindspore.dataset.Cifar10Dataset)接口加载CIFAR-10数据集,使用[mindspore.dataset.MnistDataset](https://www.mindspore.cn/docs/zh-CN/r1.8/api_python/dataset/mindspore.dataset.MnistDataset.html#mindspore.dataset.MnistDataset)接口加载MNIST数据集。示例代码如下:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CIFAR-10 shape: (32, 32, 3) label: 9\n", "CIFAR-10 shape: (32, 32, 3) label: 2\n", "CIFAR-10 shape: (32, 32, 3) label: 0\n", "CIFAR-10 shape: (32, 32, 3) label: 8\n", "MNIST shape: (28, 28, 1) label: 7\n", "MNIST shape: (28, 28, 1) label: 2\n", "MNIST shape: (28, 28, 1) label: 4\n", "MNIST shape: (28, 28, 1) label: 4\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import mindspore.dataset as ds\n", "%matplotlib inline\n", "\n", "DATA_DIR_MNIST = \"./mnist/\"\n", "DATA_DIR_CIFAR10 = \"./datasets/cifar-10-batches-bin/\"\n", "\n", "ds.config.set_seed(1)\n", "\n", "# 加载数据集,选取4张图片\n", "dataset_cifar10 = ds.Cifar10Dataset(DATA_DIR_CIFAR10, num_samples=4)\n", "dataset_mnist = ds.MnistDataset(DATA_DIR_MNIST, num_samples=4)\n", "\n", "def printDataset(dataset_list, name_list):\n", " \"\"\"显示数据集\"\"\"\n", " dataset_sizes = []\n", " for dataset in dataset_list:\n", " dataset_sizes.append(dataset.get_dataset_size())\n", " row = len(dataset_list) # 画布行数\n", " column = max(dataset_sizes) # 画布列数\n", " pos = 1\n", " for i in range(row):\n", " for data in dataset_list[i].create_dict_iterator(output_numpy=True):\n", " plt.subplot(row, column, pos) # 显示位置\n", " plt.imshow(data['image'].squeeze(), cmap=plt.cm.gray) # 显示内容\n", " plt.title(data['label']) # 显示标题\n", " print(name_list[i], \" shape:\", data['image'].shape, \"label:\", data['label'])\n", " pos = pos + 1\n", " pos = column * (i + 1) + 1\n", "\n", "printDataset([dataset_cifar10, dataset_mnist], [\"CIFAR-10\", \"MNIST\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## mindspore.dataset.transforms模块\n", "\n", "`transforms`模块支持一系列通用数据增强操作。其中部分操作使用C++实现以获得更好的性能;另一些操作使用Python实现,如基于NumPy实现。\n", "\n", "### Compose\n", "\n", "`Compose`接收一个数据增强操作序列,然后将其组合成单个数据增强操作。\n", "\n", "下面的样例首先加载[CIFAR-10数据集[1]](#参考文献),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,并对图片进行展示。" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Transformed image Shape: (3, 200, 200) , Transformed label: 4\n", "Transformed image Shape: (3, 200, 200) , Transformed label: 9\n", "Transformed image Shape: (3, 200, 200) , Transformed label: 6\n", "Transformed image Shape: (3, 200, 200) , Transformed label: 5\n", "Transformed image Shape: (3, 200, 200) , Transformed label: 7\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import mindspore.dataset as ds\n", "import mindspore.dataset.vision as vision\n", "from mindspore.dataset.transforms import Compose\n", "from PIL import Image\n", "%matplotlib inline\n", "\n", "ds.config.set_seed(8)\n", "\n", "# CIFAR-10数据集加载路径\n", "DATA_DIR = \"./datasets/cifar-10-batches-bin/\"\n", "\n", "# 加载CIFAR-10数据集,选取5张图片\n", "dataset1 = ds.Cifar10Dataset(DATA_DIR, num_samples=5, shuffle=True)\n", "\n", "def decode(image):\n", " \"\"\"定义解码函数\"\"\"\n", " return Image.fromarray(image)\n", "\n", "# 定义transforms列表\n", "transforms_list = [\n", " decode,\n", " vision.Resize(size=(200, 200)),\n", " vision.ToTensor()\n", "]\n", "\n", "# 通过Compose操作将transforms列表中函数作用于数据集图片\n", "compose_trans = Compose(transforms_list)\n", "dataset2 = dataset1.map(operations=compose_trans, input_columns=[\"image\"])\n", "\n", "# 打印数据增强操作后图片的形状、标签\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())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "从上面的打印和图片显示结果可以看出,经过transforms列表中的数据增强操作后,图片标签未变,形状发生了变化,分辨率缩放为200×200。\n", "\n", "## 已废弃`c_transforms`和`py_transforms`模块\n", "\n", "从MindSpore 1.8版本开始,以下通用数据增强模块将被废弃:\n", "\n", "- mindspore.dataset.transforms.c_transforms\n", "\n", "- mindspore.dataset.transforms.py_transforms\n", "\n", "用户应使用以下统一后的模块,其下接口的底层实现可能同时包含C++和Python,或只有其中之一:\n", "\n", "- [mindspore.dataset.transforms](https://www.mindspore.cn/docs/zh-CN/r1.8/api_python/mindspore.dataset.transforms.html)\n", "\n", "### 注意事项\n", "\n", "当从已废弃的`c_transforms`或`py_transforms`模块迁移代码至统一后的模块时,其使用方法和原来的`c_transforms`或`py_transforms`模块完全相同,无需更改接口名或入参。\n", "\n", "但下列情况除外:\n", "\n", "从`mindspore.dataset.transforms.py_transforms`迁移至`mindspore.dataset.transforms`:\n", "\n", "- 原本的`OneHotOp`接口被替换为统一的`OneHot`接口\n", "\n", "> 需要注意的是,当接口运行抛错时,已废弃接口的错误信息可能与统一后接口的错误信息不同。\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)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> 本章节中的示例代码依赖第三方支持包`matplotlib`,可使用命令`pip install matplotlib`安装。如本文档以Notebook运行时,完成安装后需要重启kernel才能执行后续代码。" ] } ], "metadata": { "kernelspec": { "display_name": "MindSpore", "language": "python", "name": "mindspore" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }