gradientFloatImage.py

This code demonstrates how to create a vertical gradient image with values between 0.0 and 5.0.

This code demonstrates how to create a vertical gradient image with values between 0.0 and 5.0. Lines are written one by one from the bottom to the top.

import iolink
 
import numpy as np
 
 
def gradientFloatImage(shape: iolink.VectorXu64):
    dt = iolink.DataTypeId.FLOAT
    # To create a float ImageView, the datatype of the image can be FLOAT (32bits) or DOUBLE (64 bits)
    image = iolink.ImageViewFactory.allocate(shape, dt)
 
    # here we set the axes interpretation, which indicates where dimensions are located (here [COLUMN, ROW])
    # this will be useful wether the final image is converted into numpy to reorder axes.
    image.axes_interpretation = iolink.AxesInterpretationId.IMAGE
 
    print("Writing some data slice by slice, line by line")
 
    stepLine = 5.0 / shape[1];
 
    lineSize = iolink.VectorXu64(shape[0], 1)
    valueInit = float(0)
    valueToSet = valueInit
    for j in range(0, shape[1]):
        lineRegion = iolink.RegionXu64((0, j), lineSize)
        # create a buffer corresponding to the line size, and
        # initialize it to the same value
        lineBuffer = np.full(shape=(shape[0], 1), fill_value=valueToSet, dtype=np.float32)
        image.write_region(lineRegion, lineBuffer)
        valueToSet = valueInit + j * stepLine
 
    print("Writing completed")
    return image
 
 
image = gradientFloatImage([5, 30])
 
print("Shape of generated image:", image.shape)
 
 
 
#import numpy as np
#from matplotlib import pyplot as plt
 
 
 
#plt.imshow(npy, interpolation='nearest')
#plt.show()
 
print("SUCCESS")