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Replace Footprint/() call arguments with dynamically-bound Contexts (#2232)
* Implement experimental Context struct and traits * Add Ctx super trait * Checkpoint * Return Any instead of DynAny * Fix send implementation for inputs with lifetimes * Port more nodes * Uncomment nodes * Port more nodes * Port vector nodes * Partial progress (the stuff I'm more sure about) * Partial progress (the stuff that's not compiling and I'm not sure about) * Fix more errors * First pass of fixing errors introduced by rebase * Port wasm application io * Fix brush node types * Add type annotation * Fix warnings and wasm compilation * Change types for Document Node definitions * Improve debugging for footprint not found errors * Forward context in append artboard node * Fix thumbnails * Fix loading most demo artwork * Wrap output type of all nodes in future * Encode futures as part of the type * Fix document node definitions for future types * Remove Clippy warnings * Fix more things * Fix opening demo art with manual composition upgrading * Set correct type for manual composition * Fix brush * Fix tests * Update docs for deps * Fix up some node signature issues * Code review --------- Co-authored-by: Keavon Chambers <keavon@keavon.com> Co-authored-by: hypercube <0hypercube@gmail.com>
This commit is contained in:
committed by
Keavon Chambers
parent
0c1e96b9c6
commit
4ff2bdb04f
@@ -1,28 +1,14 @@
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use graph_craft::proto::types::Percentage;
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use graphene_core::raster::image::{ImageFrame, ImageFrameTable};
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use graphene_core::raster::Image;
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use graphene_core::transform::Footprint;
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use graphene_core::Color;
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use graphene_core::{Color, Ctx};
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use image::{DynamicImage, GenericImage, GenericImageView, GrayImage, ImageBuffer, Luma, Rgba, RgbaImage};
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use ndarray::{Array2, ArrayBase, Dim, OwnedRepr};
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use std::cmp::{max, min};
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#[node_macro::node(category("Raster: Filter"))]
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async fn dehaze<F: 'n + Send + Sync>(
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#[implementations(
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(),
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Footprint,
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)]
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footprint: F,
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#[implementations(
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() -> ImageFrameTable<Color>,
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Footprint -> ImageFrameTable<Color>,
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)]
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image_frame: impl Node<F, Output = ImageFrameTable<Color>>,
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strength: Percentage,
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) -> ImageFrameTable<Color> {
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let image_frame = image_frame.eval(footprint).await;
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#[node_macro::node(category("Raster"))]
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async fn dehaze(_: impl Ctx, image_frame: ImageFrameTable<Color>, strength: Percentage) -> ImageFrameTable<Color> {
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let image_frame = image_frame.one_item();
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// Prepare the image data for processing
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