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creativemarket.com/RDGraphics/244615744-Grainova-Gradient-grain-texturesPrivate View Grainova - Elegant Gradient Grain Textures Elevate your design projects with Grainova, a premium collection of 120 meticulously crafted gradient grain textures. Perfect for adding depth and elegance to your work, these textures are versatile and easy to use.
OpenCV: Image Gradients docs.opencv.org/4.x/d5/d0f/tutorial_py_gradients.htmlPrivate View OpenCV provides three types of gradient filters or High-pass filters, Sobel, Scharr and Laplacian. We will see each one of them. 1. Sobel and Scharr Derivatives. Sobel operators is a joint Gaussian smoothing plus differentiation operation, so it is more resistant to noise. You can specify the direction of derivatives to be taken, vertical or ...
Riso Club - B-Side Arts Festival b-side.org.uk/events/riso-clubPrivate View RISO CLUB is here! Join artist Jodie House and make Risograph prints. Risograph duplicators are renowned for delivering some of the best colour and texture you can find in print with bold colours, grainy gradients with a mysterious “hand-crafted appearance”! Our Japanese Risograph printer is from the 1980s – it’s cheap to run ...
Divergence theorem - Wikipedia en.wikipedia.org/wiki/Divergence_theoremPrivate View The volume rate of flow of liquid through a source or sink (with the flow through a sink given a negative sign) is equal to the divergence of the velocity field at the pipe mouth, so adding up (integrating) the divergence of the liquid throughout the volume enclosed by S equals the volume rate of flux through S. This is the divergence theorem.
Finite strain theory - Wikipedia en.wikipedia.org/wiki/Finite_strain_theoryPrivate View Deformation gradient tensor Figure 2. Deformation of a continuum body. The deformation gradient tensor (,) = is related to both the reference and current configuration, as seen by the unit vectors and , therefore it is a two-point tensor.Two types of deformation gradient tensor may be defined. Due to the assumption of continuity of (,), has the inverse =, where is the spatial deformation ...
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