当前位置:网站首页>scipy.misc.imread()
scipy.misc.imread()
2022-07-05 08:51:00 【Wanderer001】
参考 scipy.misc.imread() - 云+社区 - 腾讯云
import scipy.misc
b=scipy.misc.imread('/home/zzp/2.jpg')scipy.misc.imread(name, flatten=False, mode=None)read a image from a file as an array将图片读取出来为array类型,即numpy类型
参数:
- name : str or file object. The file name or file object to be read.
- flatten : bool, optional. If True, flattens the color layers into a single gray-scale layer.
- mode : str, optional. Mode to convert image to, e.g. ``'RGB'``. See the Notes for more details.
返回值:
- imread : ndarray. The array obtained by reading the image.
mode详细信息:
`imread` uses the Python Imaging Library (PIL) to read an image.
The following notes are from the PIL documentation.
"""
Notes
-----
`imread` uses the Python Imaging Library (PIL) to read an image.
The following notes are from the PIL documentation.
`mode` can be one of the following strings:
* 'L' (8-bit pixels, black and white)
* 'P' (8-bit pixels, mapped to any other mode using a color palette)
* 'RGB' (3x8-bit pixels, true color)
* 'RGBA' (4x8-bit pixels, true color with transparency mask)
* 'CMYK' (4x8-bit pixels, color separation)
* 'YCbCr' (3x8-bit pixels, color video format)
* 'I' (32-bit signed integer pixels)
* 'F' (32-bit floating point pixels)
PIL also provides limited support for a few special modes, including
'LA' ('L' with alpha), 'RGBX' (true color with padding) and 'RGBa'
(true color with premultiplied alpha).
When translating a color image to black and white (mode 'L', 'I' or
'F'), the library uses the ITU-R 601-2 luma transform::
L = R * 299/1000 + G * 587/1000 + B * 114/1000
When `flatten` is True, the image is converted using mode 'F'.
When `mode` is not None and `flatten` is True, the image is first
converted according to `mode`, and the result is then flattened using
mode 'F'.
"""边栏推荐
- 某公司文件服务器迁移方案
- [daily training -- Tencent selected 50] 557 Reverse word III in string
- asp.net(c#)的货币格式化
- 【日常训练--腾讯精选50】557. 反转字符串中的单词 III
- [牛客网刷题 Day4] JZ35 复杂链表的复制
- Basic number theory - factors
- Ros- learn basic knowledge of 0 ROS - nodes, running ROS nodes, topics, services, etc
- AdaBoost use
- Install the CPU version of tensorflow+cuda+cudnn (ultra detailed)
- 520 diamond Championship 7-4 7-7 solution
猜你喜欢

Guess riddles (11)

Install the CPU version of tensorflow+cuda+cudnn (ultra detailed)

Redis implements a high-performance full-text search engine -- redisearch

How to manage the performance of R & D team?

Yolov4 target detection backbone

C# LINQ源码分析之Count

Summary of "reversal" problem in challenge Programming Competition

Attention is all you need

牛顿迭代法(解非线性方程)

Business modeling of software model | overview
随机推荐
Ecmascript6 introduction and environment construction
golang 基础 ——map、数组、切片 存放不同类型的数据
Pytorch entry record
Digital analog 1: linear programming
图解网络:什么是网关负载均衡协议GLBP?
Add discount recharge and discount shadow ticket plug-ins to the resource realization applet
Codeworks round 681 (Div. 2) supplement
520 diamond Championship 7-4 7-7 solution
AUTOSAR从入门到精通100讲(103)-dbc文件的格式以及创建详解
uni-app 实现全局变量
Typescript hands-on tutorial, easy to understand
Numpy pit: after the addition of dimension (n, 1) and dimension (n,) array, the dimension becomes (n, n)
ROS learning 1- create workspaces and function packs
Array,Date,String 对象方法
Basic number theory - factors
The location search property gets the login user name
【日常训练--腾讯精选50】557. 反转字符串中的单词 III
C# LINQ源码分析之Count
Mathematical modeling: factor analysis
Mengxin summary of LCs (longest identical subsequence) topics