GPU accelerated image processing for everyone
Scales an image with a given factor.
Category: Transformations
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
Ext.CLIJ2_scale3D(Image source, Image destination, Number scaling_factor_x, Number scaling_factor_y, Number scaling_factor_z, Boolean scale_to_center);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer source = clij2.push(sourceImagePlus); destination = clij2.create(source); float scaling_factor_x = 1.0; float scaling_factor_y = 2.0; float scaling_factor_z = 3.0; boolean scale_to_center = true;
// Execute operation on GPU clij2.scale3D(source, destination, scaling_factor_x, scaling_factor_y, scaling_factor_z, scale_to_center);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters source = clij2.pushMat(source_matrix); destination = clij2.create(source); scaling_factor_x = 1.0; scaling_factor_y = 2.0; scaling_factor_z = 3.0; scale_to_center = true;
% Execute operation on GPU clij2.scale3D(source, destination, scaling_factor_x, scaling_factor_y, scaling_factor_z, scale_to_center);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(source); clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters source_sequence = getSequence(); source = clij2.pushSequence(source_sequence); destination = clij2.create(source); scaling_factor_x = 1.0; scaling_factor_y = 2.0; scaling_factor_z = 3.0; scale_to_center = true;
// Execute operation on GPU clij2.scale3D(source, destination, scaling_factor_x, scaling_factor_y, scaling_factor_z, scale_to_center);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
import pyclesperanto_prototype as cle cle.scale(source, destination, scaling_factor_x, scaling_factor_y, scaling_factor_z, scale_to_center)
image_segmentation_3d
Segmentation_3D.ipynb
affine_transforms.ipynb