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About shojtsy

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  1. Steps to reproduce: 1) Load some raster photo 2) Record a macro which duplicates current layer, and modifies the opacity and blend mode of the copy 3) Make both opacity and blend mode adjustable in the macro by clicking the two corresponding eye icons 4) Remove the duplicate layer 5) Replay the macro 6) While the macro options dialog open try modifying the opacity and blend mode in it. The preview only refreshes when the opacity is changed, but not when the blend mode is changed.
  2. Serif says its ok to create threads for requests which were already mentioned before sometime (second paragraph)
  3. I would actually like to record making a pixel layer or even a layer group into a mask, not by Rasterize to Mask, but in the same way as dragging it into the mask position. Assistant doesn't help with this. All that would be needed is a menu item in Arrange menu, same as Mask to Below. Pretty minor request in my opinion.
  4. Hi MEB, This creates what looks like an Orton effect by varying the opacity of the blur. The middle portion is a blur with the contrasty image overlaid. If the radius of the blur would be varied that would make it possible to create a gradually out-of-focus effect. Maybe Field Blur better fits OP needs? (A further improvement of that filter would be support for blur radius driven by a pixel mask)
  5. @MEB , are monitor color profiles ignored for the Navigator panel? Because that doesn't have the yellow cast in the screenshot.
  6. Hi, When using Curves Adjustment layer and selecting LAB color space for the curves adjustment for an image in RGB space, the histogram shown behind the curve is incorrect. It still shows the RGB channel histograms behind, such that Lightness curve has the Red channel histogram, AOpponent has the Green channel histogram, and BOpponent has the Blue channel histogram. This is very misleading and even worse than not having a histogram. The same happens for CMYK curves.
  7. Did you want to say pixel based textures?
  8. Besides "why you need this?", I wanted to point out the answer to the OP: Affinity does not provide the feature to turn any pixel image into curves or vectors. It can only go the other way. If one has a distressed mask in curves to start with, one can do the cutting out you are looking for.
  9. Both single-image defocus estimation and neural networks are possible solutions for this. I am just saying that Affinity doesn't provide the tools for us to do either, and I think also doesn't implement either of them itself. Remove Haze filter probably uses some simple heuristic of detecting grayish gradients and make them contrasty.
  10. Maybe you are looking for defocus estimation? Or some artificial intelligence that understands the objects? I don't think either is possible in Affinty.
  11. This thread gave me an idea to create an estimated Depth mask: I have created a macro to recover some depth information from the Remove Haze filter itself. Create_depth_mask.afmacro The way you use this is to select your pixel layer, run the macro, and then drag the resulting layer group into a mask position of some adjustment. The red tint is intentional to help previewing the mask. When the layer group is used as a mask of some other layer, the tint will be ignored, and only the alpha channel will be used. See example usage with a black fill layer being masked by the depth mask. Create_depth_mask.afmacro
  12. Interesting idea. I have created a macro to recover some depth information from the Remove Haze filter itself. See in this thread:
  13. Hi, In AF I have a single pixel layer, force pixel alignment on, selection feather 0, background transparent. Document dimensions 800*800. The layer has opaque and transparent pixels, but no partial transparency. I make a rectangular selection with mouse, correct with numeric input in the transform panel to be exact X 0, Y 0, width 800 width, height 200. I do copy and paste from menu. New pixel layer is created. Disabling the original layer I see only the new layer and notice that the left edge has partially transparent pixels, while it should not have.