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Attractive Alpaca answered on May 23, 2021 Popularity 4/10 Helpfulness 1/10

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#!/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)

Popularity 4/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

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Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

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Comment

-1

#!/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)

Popularity 6/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
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Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

pillow update image

Comment

-1

#!/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)

Popularity 5/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

pillow update image

Comment

#!/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)

Popularity 5/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

pillow update image

Comment

-1

#!/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)

Popularity 4/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

pillow update image

Comment

-2

#!/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)

Popularity 6/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

pillow update image

Comment

-1

#!/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)

Popularity 5/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

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Comments(1)

-2

# It's a pain, better to use pygame or openCV
# Search "Opencv for python"

Popularity 8/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: image pillow

Link to this answer
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Contributed on May 23 2021

Flyhouse_Squarewheel

0 Answers Avg Quality 2/10

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Comment

-1

#!/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)

Popularity 3/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: image pillow python

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

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