“Подушка обновления изображения” Ответ

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Подушка обновления изображения

#!/usr/local/bin/python3
import numpy as np
import cv2

def sin2d(x,y):
    """2-d sine function to plot"""
    return np.sin(x) + np.cos(y)

def getFrame():
    """Generate next frame of simulation as numpy array"""

    # Create data on first call only
    if getFrame.z is None:
        xx, yy = np.meshgrid(np.linspace(0,2*np.pi,w), np.linspace(0,2*np.pi,h))
        getFrame.z = sin2d(xx, yy)
        getFrame.z = cv2.normalize(getFrame.z,None,alpha=0,beta=1,norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)

    # Just roll data for subsequent calls
    getFrame.z = np.roll(getFrame.z,(1,2),(0,1))
    return getFrame.z

# Frame size
w, h = 640, 480

getFrame.z = None

while True:
       
    # Get a numpy array to display from the simulation
    npimage=getFrame()

    cv2.imshow('image',npimage)
    cv2.waitKey(1)
Attractive Alpaca

Ответы похожие на “Подушка обновления изображения”

Вопросы похожие на “Подушка обновления изображения”

Больше похожих ответов на “Подушка обновления изображения” по Python

Смотреть популярные ответы по языку

Смотреть другие языки программирования

Shell/Bash
C#
C++
C
CSS
HTML
Java
JavaScript
Objective-C
PHP
Python
Sql
Swift
Ruby
TypeScript
Go
Kotlin
Assembly
R
VBA
Scala
Rust
Dart
Elixir
Clojure
Haskell
Matlab
Erlang
Cobol
Fortran
Scheme
Perl
Groovy
Lua
Julia
Delphi
Abap
Lisp
Prolog
Pascal
ActionScript
Basic
Solidity
PowerShell
GDScript
Excel