如何使用OpenCV及Python搭建圖片縮略圖服務器

發布時間：2021-12-04 16:45:06 來源：億速云閱讀：289 作者：柒染欄目：互聯網科技

如何使用OpenCV及Python搭建圖片縮略圖服務器，很多新手對此不是很清楚，為了幫助大家解決這個難題，下面小編將為大家詳細講解，有這方面需求的人可以來學習下，希望你能有所收獲。

應用程序進程樹, 默認 Poolboy 中初始化10個用于處理圖片的 Python 工作進程(Worker)

首先安裝OpenCV需要的工具包

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

brew install python

brew tap homebrew/science

brew install opencv

sudo pip install numpy

sudo pip install matplotlib

使用 Homebrew 的 Python 版本, 而不是 Mac OS X 系統自帶的 Python

alias python='/usr/local/bin/python'

創建 Elixir 項目

? mix new opencv_thumbnail_server --sup

* creating README.md

* creating .gitignore

* creating mix.exs

* creating config

* creating config/config.exs

* creating lib

* creating lib/opencv_thumbnail_server.ex

* creating test

* creating test/test_helper.exs

* creating test/opencv_thumbnail_server_test.exs

Your Mix project was created successfully.

You can use "mix" to compile it, test it, and more:

cd opencv_thumbnail_server

mix test

Run "mix help" for more commands.

Elixir 模塊

require Logger

defmodule OpencvThumbnailServer do

use Application

def start(_type, _args) do

Logger.info "Start opencv thumbnail server"

OpencvThumbnailServer.Supervisor.start_link()

end

defmodule OpencvThumbnailServer.Supervisor do

use Supervisor

<a href="http://www.jobbole.com/members/chkconfig">@config</a> Application.get_env :opencv_thumbnail_server, :settings

def start_link() do

Supervisor.start_link(__MODULE__, [], name: {:global,__MODULE__})

end

def init([]) do

pool_options = @config[:poolboy]

{_, name} = pool_options[:name]

children = [

:poolboy.child_spec(name, pool_options, @config[:module_name])

]

supervise(children, strategy: :one_for_all, max_restarts: 1000, max_seconds: 3600)

end

defmodule OpencvThumbnailServer.Worker do

use GenServer

<a href="http://www.jobbole.com/members/chkconfig">@config</a> Application.get_env(:opencv_thumbnail_server, :settings)

def start_link(python_module) do

GenServer.start_link(__MODULE__, python_module, [])

end

def call_python(worker, function, args) do

GenServer.call(worker, {:call_python, function, args}, 10_000)

end

def init(python_module) do

IO.puts "Start worker"

{:ok, pid} = :python.start_link([

{:python_path, @config[:python_path]},

{:python, @config[:python]}

])

state = {python_module, pid}

{:ok, state}

end

def handle_call({:call_python, function, args}, _from, state) do

{module, pid} = state

result = :python.call(pid, module, function, args)

reply = {:ok, result}

{:reply, reply, state}

end

def handle_call(_request, _from, state) do

{:stop, :error, :bad_call, state}

end

def handle_info(_msg, {module,py_pid}) do

{:stop, :error, {module,py_pid}}

end

def terminate(_reason, {_, py_pid}) do

:python.stop(py_pid)

:ok

end

圖像處理

獲取寬高

# -*- coding: utf-8 -*-

import urllib2 as urllib

import numpy as np

import cv2

def load_image_url(url):

resp = urllib.urlopen(url)

buf = resp.read()

return buf

def load_image_file(filename):

image = cv2.imdecode(filename, cv2.IMREAD_COLOR)

return image

def get_photo_sizes():

return [

[160, 160],

[320, 320],

[640, 640],

[1060, 1060],

[1280, 1280]

]

def show(buf):

# print buf

# x = cv2.imdecode(image, cv2.IMREAD_COLOR)

# d = cv2.cvtColor(c, cv2.COLOR_RGB2BGR)

np_ndarray = np.fromstring(buf, dtype=np.uint8)

x = cv2.imdecode(np_ndarray, cv2.IMREAD_UNCHANGED)

return cv2.imshow('NBA Image', x)

def write(buf):

nparray = np.fromstring(buf, dtype=np.uint8)

img = cv2.imdecode(nparray, cv2.IMREAD_UNCHANGED)

return cv2.imwrite('/tmp/imwrite.png', img)

# def get_dimension():

# url = 'http://img1.gtimg.com/16/1601/160106/16010642_1200x1000_0.jpg'

# resp = urllib.urlopen(url)

# buf = resp.read()

# x = np.fromstring(buf, dtype=np.uint8)

# img = cv2.imdecode(x, cv2.IMREAD_UNCHANGED)

# # height = np.size(img, 0)

# # width = np.size(img, 1)

# height, width = image.shape[:2]

# return (width, height)

def get_dimension(buffer):

# 把原始的二進制圖片數據轉換為NpArray

nparray = np.fromstring(buffer, dtype=np.uint8)

# 把 nparray 轉換為 opencv 的圖像格式

image = cv2.imdecode(nparray, cv2.IMREAD_UNCHANGED)

height, width = image.shape[:2]

return (width, height)

def convert_color():

url = 'http://ww3.sinaimg.cn/mw690/6941baebgw1epzcuv9vmxj20me0hy0u1.jpg'

resp = urllib.urlopen(url)

buf = resp.read()

x = np.fromstring(buf, dtype=np.uint8)

img = cv2.imdecode(x, cv2.IMREAD_UNCHANGED)

if __name__ == '__main__':

get_dimension()

在 Erlang 和 Python 之間傳輸二進制數據

Erlang 的binary()數據類型和 Python 之間的映射關系, 在Python 2.x 中二進制數據類型為 str() 表示, Python 3.x 中為 bytes()

buf = resp.read(), 其中變量 buf 的類型為

在 Elixir 我們看的如下的值

Python

{:ok, <<255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 1, 0, 72,

0, 72, 0, 0, 255, 219, 0, 67, 0, 8, 6, 6, 7, 6, 5, 8, 7, 7, 7,

9, 9, 8, 10, 12, 20, 13, 12, 11, 11, 12, 25, 18, 19, ...>>}

調用 Python 函數

{:ok, data} = OpencvThumbnailServer.Api.load_image_url("https://segmentfault.com/img/bVwhAW")

OpencvThumbnailServer.Api.get_dimension(data)

{:ok, {800, 431}}

如何使用OpenCV及Python搭建圖片縮略圖服務器

創建 Python 模塊

之前的 Python 圖像處理模塊可以組織到一個項目中單獨維護. 這里使用工具 cookiecutter創建 Python 一個基本的項目骨架, 用于實現縮略圖的功能

cookiecutter 可以通過多種方式安裝, 包括pip, easy_install, conda, brew

pip install cookiecutter

easy_install cookiecutter

conda install -c https://conda.binstar.org/pydanny cookiecutter

brew install cookiecutter(Mac OS X)

目錄結構

? opencv_thumbnail git:(master) tree

├── AUTHORS.rst

├── CONTRIBUTING.rst

├── HISTORY.rst

├── LICENSE

├── MANIFEST.in

├── Makefile

├── README.rst

├── build

│ ├── bdist.macosx-10.11-x86_64

│ └── lib

│ └── opencv_thumbnail

│ ├── __init__.py

│ └── opencv_thumbnail.py

├── dist

│ └── opencv_thumbnail-0.1.0-py2.7.egg

├── docs

│ ├── Makefile

│ ├── authors.rst

│ ├── conf.py

│ ├── contributing.rst

│ ├── history.rst

│ ├── index.rst

│ ├── installation.rst

│ ├── make.bat

│ ├── readme.rst

│ └── usage.rst

├── opencv_thumbnail

│ ├── __init__.py

│ ├── __init__.pyc

│ ├── opencv_thumbnail.py

│ └── opencv_thumbnail.pyc

├── opencv_thumbnail.egg-info

│ ├── PKG-INFO

│ ├── SOURCES.txt

│ ├── dependency_links.txt

│ ├── not-zip-safe

│ └── top_level.txt

├── requirements_dev.txt

├── setup.cfg

├── setup.py

├── tests

│ ├── __init__.py

│ └── test_opencv_thumbnail.py

├── tox.ini

└── travis_pypi_setup.py

9 directories, 36 files

API實現

調用需要從 Poolboy 池中取出一個工作進程, 并調用工作進程的call_python, 進程使用完成后返回 Poolboy 進程池, 這里封裝一下以簡化調用廈門叉車出租公司

defmodule OpencvThumbnailServer.Api do

alias OpencvThumbnailServer.Worker

def get_dimension(data) do

worker = :poolboy.checkout(:opencv_thumbnail_server_pool)

{w, h} = Worker.call_python(worker, :get_dimension, [data])

:poolboy.checkin(:opencv_thumbnail_server_pool, worker)

{w, h}

end

def load_image_url(url) do

worker = :poolboy.checkout(:opencv_thumbnail_server_pool)

image_bin = Worker.call_python(worker, :load_image_url, [url])

:poolboy.checkin(:opencv_thumbnail_server_pool, worker)

image_bin

end

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如何使用OpenCV及Python搭建圖片縮略圖服務器

首先安裝OpenCV需要的工具包

創建 Elixir 項目

圖像處理

在 Erlang 和 Python 之間傳輸二進制數據

調用 Python 函數

創建 Python 模塊

API實現

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中文字幕av专区_日韩电影在线播放_精品国产精品久久一区免费式_av在线免费观看网站

如何使用OpenCV及Python搭建圖片縮略圖服務器

首先安裝OpenCV需要的工具包

創建 Elixir 項目

圖像處理

在 Erlang 和 Python 之間傳輸二進制數據

調用 Python 函數

創建 Python 模塊

API實現

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