https://github.com/xavierjiezou/python-pillow-tutorial
Tutorial for Pillow
https://github.com/xavierjiezou/python-pillow-tutorial
image-processing pil pillow python tutorial
Last synced: about 1 year ago
JSON representation
Tutorial for Pillow
- Host: GitHub
- URL: https://github.com/xavierjiezou/python-pillow-tutorial
- Owner: XavierJiezou
- Created: 2022-04-11T14:20:12.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-04-14T12:15:24.000Z (about 4 years ago)
- Last Synced: 2025-03-25T11:01:59.501Z (about 1 year ago)
- Topics: image-processing, pil, pillow, python, tutorial
- Language: HTML
- Homepage: https://XavierJiezou.github.io/Python-Pillow-Tutorial
- Size: 4.62 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.ipynb
Awesome Lists containing this project
README
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Python-Pillow-Tutorial"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 引言\n",
"\n",
"很早之前,Python 有一个图像处理库叫做 Python Imaging Library(简称:PIL),但之后不再维护了,而 Pillow 则接手继续维护,所以,你会发现使用 Pilow 的时候是从 PIL 导入类或函数的。本文是 Pillow 的零基础入门教程,让你轻松学会用 Pillow 处理图像的方法。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 安装\n",
"\n",
"```bash\n",
"pip install Pillow\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 教程"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 使用 Image 类\n",
"\n",
"Pillow 中最重要的类就是 [Image](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image) 类。通过这个类,你可以从文件中加载图像,处理图像,或从头创建图像。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"使用 [open()](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.open) 函数从文件中加载图像。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from PIL import Image\n",
"im = Image.open('images/test/hopper.jpg')\n",
"im"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"如果加载成功,会返回一个 [Image](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image) 对象;如果图像无法打开,则会抛出 [OSError](https://docs.python.org/3/library/exceptions.html#OSError) 异常。现在让我们打印类实例的属性来看看图像的信息。"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"format: JPEG\n",
"size: (128, 128)\n",
"mode: RGB\n"
]
}
],
"source": [
"print(f'format: {im.format}')\n",
"print(f'size: {im.size}')\n",
"print(f'mode: {im.mode}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- [format](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.format): 图像格式。标识图像来源。\n",
"- [size](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.size): 图像大小。是一个二元组,包含了图像的宽和高。\n",
"- [mode](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.mode): 图像模式。定义了图像中波段的数量和名称,以及像素类型和深度。常用模式有:`l` -> 灰度图像;`RGB` -> 真彩色图像;`CMYK` -> 预印图像。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"一旦有了 Image 类的实例,你就可以使用该类定义的方法来操作图像。例如,让我们显示刚才加载的图像。"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"im.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[show()](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.show) 方法首先将图像保存到一个临时文件中,然后调用系统默认打开图像的程序来加载这个临时文件。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 读取和保存图像"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pillow 库支持读取多种图像格式。请使用 [Image](https://pillow.readthedocs.io/en/stable/reference/Image.html#module-PIL.Image) 模块的 [open() ](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.open) 函数从磁盘读取文件。读取的时候不必指定图像格式,Pillow 库会根据文件的内容自动确定。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"请使用 [Image](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image) 类的 [save()](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.save) 方法来保存图像。保存图像时,文件后缀非常重要,因为这个库会根据你指定的文件拓展名来决定使用哪种存储格式。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 将其他格式的图像转换为 JPEG 格式"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from PIL import Image\n",
"fname = 'images/test/hopper.png'\n",
"im_png = Image.open(fname)\n",
"im_png.save(f'{fname.split(\".\")[0]}.jpg')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 创建 JPEG 缩略图"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from PIL import Image\n",
"thumbnail_size = (64, 64) # 指定缩略图的大小\n",
"fname = 'images/test/hopper.jpg'\n",
"im = Image.open(fname)\n",
"if thumbnail_size:\n",
" im.thumbnail(thumbnail_size)\n",
"else:\n",
" im.thumbnail((im.width//2, im.height//2))\n",
"im"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 裁剪、粘贴及合并图像"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 裁剪图像"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from PIL import Image\n",
"fname = 'images/test/hopper.jpg'\n",
"im = Image.open(fname)\n",
"box = (0, 0, 64, 64)\n",
"region = im.crop(box)\n",
"region"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pillow 定义图像左上角坐标为 (0, 0),[crop()](https://pillow.readthedocs.io/en/stable/reference/Image.html#PIL.Image.Image.crop) 方法接受一个四元组参数,对应裁剪的坐标 (左, 上, 右, 下)。例如,(0, 0, 64, 64) 表示裁剪矩形左上角的坐标是 (0, 0),右下角的坐标是 (64, 64)。那么,最终裁剪的子图大小就是 (64-0, 64-0)。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 粘贴图像"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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