|
1 | 1 | import Upscaler from "upscaler"; |
| 2 | +import * as tf from "@tensorflow/tfjs"; |
| 3 | + |
| 4 | +// Register custom layer used by ESRGAN medium/thick models (loaded from CDN) |
| 5 | +// Without this, TF.js throws "Unknown layer: MultiplyBeta" when loading these models |
| 6 | +class MultiplyBeta extends tf.layers.Layer { |
| 7 | + static className = "MultiplyBeta"; |
| 8 | + private beta: number; |
| 9 | + |
| 10 | + constructor(config: Record<string, unknown> = {}) { |
| 11 | + super(config); |
| 12 | + this.beta = (config.beta as number) ?? 0.2; |
| 13 | + } |
| 14 | + |
| 15 | + call(inputs: tf.Tensor | tf.Tensor[]): tf.Tensor { |
| 16 | + const input = Array.isArray(inputs) ? inputs[0] : inputs; |
| 17 | + return tf.mul(input, tf.scalar(this.beta)); |
| 18 | + } |
| 19 | + |
| 20 | + getConfig() { |
| 21 | + return { ...super.getConfig(), beta: this.beta }; |
| 22 | + } |
| 23 | +} |
| 24 | +tf.serialization.registerClass(MultiplyBeta); |
| 25 | + |
| 26 | +// PixelShuffle layer used by ESRGAN thick models — does depth-to-space rearrangement |
| 27 | +function createPixelShuffleClass(scale: number) { |
| 28 | + class PixelShuffle extends tf.layers.Layer { |
| 29 | + static className = `PixelShuffle${scale}x`; |
| 30 | + private scale: number; |
| 31 | + |
| 32 | + constructor(config: Record<string, unknown> = {}) { |
| 33 | + super(config); |
| 34 | + this.scale = scale; |
| 35 | + } |
| 36 | + |
| 37 | + computeOutputShape(inputShape: Array<number | null>): Array<number | null> { |
| 38 | + return [inputShape[0], inputShape[1], inputShape[2], 3]; |
| 39 | + } |
| 40 | + |
| 41 | + call(inputs: tf.Tensor | tf.Tensor[]): tf.Tensor { |
| 42 | + const input = Array.isArray(inputs) ? inputs[0] : inputs; |
| 43 | + return tf.depthToSpace(input as tf.Tensor4D, this.scale, "NHWC"); |
| 44 | + } |
| 45 | + |
| 46 | + getConfig() { |
| 47 | + return { ...super.getConfig(), scale: this.scale }; |
| 48 | + } |
| 49 | + } |
| 50 | + return PixelShuffle; |
| 51 | +} |
| 52 | + |
| 53 | +// Register PixelShuffle for all supported scales |
| 54 | +[2, 3, 4].forEach((s) => { |
| 55 | + tf.serialization.registerClass(createPixelShuffleClass(s)); |
| 56 | +}); |
2 | 57 |
|
3 | 58 | type ModelType = "slim" | "medium" | "thick"; |
4 | 59 | type ScaleType = "2x" | "3x" | "4x"; |
|
0 commit comments