Files
armorpaint/armorlab/sources/nodes/upscale_node.ts
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2024-07-22 00:14:37 +02:00

166 lines
5.2 KiB
TypeScript

type upscale_node_t = {
base?: logic_node_t;
};
let upscale_node_temp: image_t = null;
let upscale_node_image: image_t = null;
let upscale_node_esrgan_blob: buffer_t;
function upscale_node_create(arg: any): upscale_node_t {
let n: float_node_t = {};
n.base = logic_node_create();
n.base.get_as_image = upscale_node_get_as_image;
n.base.get_cached_image = upscale_node_get_cached_image;
return n;
}
function upscale_node_get_as_image(self: upscale_node_t, from: i32): image_t {
upscale_node_image = logic_node_input_get_as_image(self.base.inputs[0]);
console_progress(tr("Processing") + " - " + tr("Upscale"));
krom_g4_swap_buffers();
upscale_node_load_blob();
if (upscale_node_image.width < config_get_texture_res_x()) {
upscale_node_image = upscale_node_esrgan(upscale_node_image);
while (upscale_node_image.width < config_get_texture_res_x()) {
let last_image = upscale_node_image;
upscale_node_image = upscale_node_esrgan(upscale_node_image);
image_unload(last_image);
}
}
return upscale_node_image;
}
function upscale_node_load_blob() {
upscale_node_esrgan_blob = data_get_blob("models/esrgan.quant.onnx");
}
function upscale_node_get_cached_image(self: upscale_node_t): image_t {
return upscale_node_image;
}
function upscale_node_do_tile(source: image_t) {
let result: image_t = null;
let size1w = source.width;
let size1h = source.height;
let size2w = math_floor(size1w * 2);
let size2h = math_floor(size1h * 2);
if (upscale_node_temp != null) {
image_unload(upscale_node_temp);
}
upscale_node_temp = image_create_render_target(size1w, size1h);
g2_begin(upscale_node_temp);
g2_draw_scaled_image(source, 0, 0, size1w, size1h);
g2_end();
let bytes_img = image_get_pixels(upscale_node_temp);
let u8a = u8_array_create_from_buffer(bytes_img);
let f32a = f32_array_create(3 * size1w * size1h);
for (let i: i32 = 0; i < (size1w * size1h); ++i) {
f32a[i ] = (u8a[i * 4 ] / 255);
f32a[i + size1w * size1w ] = (u8a[i * 4 + 1] / 255);
f32a[i + size1w * size1w * 2] = (u8a[i * 4 + 2] / 255);
}
let esrgan2x_buf = krom_ml_inference(upscale_node_esrgan_blob, [f32a.buffer], [[1, 3, size1w, size1h]], [1, 3, size2w, size2h], config_raw.gpu_inference);
let esrgan2x = f32_array_create_from_buffer(esrgan2x_buf);
for (let i: i32 = 0; i < esrgan2x.length; ++i) {
if (esrgan2x[i] < 0) {
esrgan2x[i] = 0;
}
else if (esrgan2x[i] > 1) {
esrgan2x[i] = 1;
}
}
u8a = u8_array_create(4 * size2w * size2h);
for (let i: i32 = 0; i < (size2w * size2h); ++i) {
u8a[i * 4 ] = math_floor(esrgan2x[i ] * 255);
u8a[i * 4 + 1] = math_floor(esrgan2x[i + size2w * size2w ] * 255);
u8a[i * 4 + 2] = math_floor(esrgan2x[i + size2w * size2w * 2] * 255);
u8a[i * 4 + 3] = 255;
}
result = image_from_bytes(u8a.buffer, size2w, size2h);
return result;
}
function upscale_node_esrgan(source: image_t): image_t {
let result: image_t = null;
let size1w = source.width;
let size1h = source.height;
let tile_size = 512;
let tile_size2x = math_floor(tile_size * 2);
if (size1w >= tile_size2x || size1h >= tile_size2x) { // Split into tiles
let size2w = math_floor(size1w * 2);
let size2h = math_floor(size1h * 2);
result = image_create_render_target(size2w, size2h);
let tile_source = image_create_render_target(tile_size + 32 * 2, tile_size + 32 * 2);
for (let x: i32 = 0; x < math_floor(size1w / tile_size); ++x) {
for (let y: i32 = 0; y < math_floor(size1h / tile_size); ++y) {
g2_begin(tile_source);
g2_draw_scaled_image(source, 32 - x * tile_size, 32 - y * tile_size, -source.width, source.height);
g2_draw_scaled_image(source, 32 - x * tile_size, 32 - y * tile_size, source.width, -source.height);
g2_draw_scaled_image(source, 32 - x * tile_size, 32 - y * tile_size, -source.width, -source.height);
g2_draw_scaled_image(source, 32 - x * tile_size + tile_size, 32 - y * tile_size + tile_size, source.width, source.height);
g2_draw_scaled_image(source, 32 - x * tile_size + tile_size, 32 - y * tile_size + tile_size, -source.width, source.height);
g2_draw_scaled_image(source, 32 - x * tile_size + tile_size, 32 - y * tile_size + tile_size, source.width, -source.height);
g2_draw_scaled_image(source, 32 - x * tile_size, 32 - y * tile_size, source.width, source.height);
g2_end();
let tileResult = upscale_node_do_tile(tile_source);
g2_begin(result);
g2_draw_sub_image(tileResult, x * tile_size2x, y * tile_size2x, 64, 64, tile_size2x, tile_size2x);
g2_end();
image_unload(tileResult);
}
}
image_unload(tile_source);
}
else {
result = upscale_node_do_tile(source); // Single tile
}
return result;
}
let upscale_node_def: zui_node_t = {
id: 0,
name: _tr("Upscale"),
type: "upscale_node",
x: 0,
y: 0,
color: 0xff4982a0,
inputs: [
{
id: 0,
node_id: 0,
name: _tr("Color"),
type: "RGBA",
color: 0xffc7c729,
default_value: f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
min: 0.0,
max: 1.0,
precision: 100,
display: 0
}
],
outputs: [
{
id: 0,
node_id: 0,
name: _tr("Color"),
type: "RGBA",
color: 0xffc7c729,
default_value: f32_array_create_xyzw(0.0, 0.0, 0.0, 1.0),
min: 0.0,
max: 1.0,
precision: 100,
display: 0
}
],
buttons: [],
width: 0
};