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creator.nightcafe.studio/creation/O71RSWt6Oz8cQ2zK0VqVPrivate View Text Prompts "Cranes stand in the soft evening light on the shore of a reed-covered lake, by Mike Mignola and Andy Kehoe, Pixar, Disney, concept art, 3d digital art, Maya 3D, ZBrush Central 3D shading, bright colored background, radial gradient background, cinematic, Reimagined by industrial light and magic, 4k resolution post processing" Weight:1 "ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame ...
OpenCV: Image Gradients docs.opencv.org/master/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 horizontal (by the arguments, yorder and xorder respectively). You can also specify the size of kernel by the argument ksize.
Untitled Creation - AI Generated Artwork - NightCafe Creator creator.nightcafe.studio/creation/Io26PMhjDlN0n8ym3IiePrivate View Text Prompts "chimeric many-headed abhorrent beautiful girly monster, many pretty faces chaotically scattered by formless bloated body, fine line art of rainbow colors in white background" Weight:0.5 "photoreal, realistic, gradient, symmetric, ugly face, tiling, out of frame, limbs, deformed face, blurry, blurred, watermark, grainy, signature, cut off, draft" Weight:-1.2 Model
Calculating grid gradient and radiance — PyGMT www.pygmt.org/dev/gallery/images/grdgradient.htmlPrivate View As input pygmt.grdgradient gets an xarray.DataArray object or a path string to a grid file, calculates the respective gradient and returns it as an xarray.DataArray object. We will use the radiance parameter in order to set the illumination source direction and altitude. Total running time of the script: (0 minutes 0.411 seconds)
numpy.gradient() in Python: An Easy Guide | CodeForGeek codeforgeek.com/numpy-gradient-in-pythonPrivate View f: It is the Input array. varargs: This is the spacing between values in f. axis: It is the axis for computing the gradient. By default, it considers the last axis. edge_order: The order of the edge for gradient computation. The default is 1.; Working: This function calculates the gradient by using finite differences, which can be forward, backward, or central.; In a 1-D array, it finds the gradient at each point using first-order differences.; For arrays with more dimensions, it computes ...