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🧹 StyleTransfer getVariable method #1380

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🧹 StyleTransfer getVariable method #1380

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34 changes: 21 additions & 13 deletions src/StyleTransfer/index.js
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Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,6 @@
// This software is released under the MIT License.
// https://opensource.org/licenses/MIT

/* eslint max-len: "off" */
/* eslint no-trailing-spaces: "off" */
/*
Fast Style Transfer
This implementation is heavily based on github.com/reiinakano/fast-style-transfer-deeplearnjs by Reiichiro Nakano.
Expand Down Expand Up @@ -50,7 +48,6 @@ class StyleTransfer extends Video {
this.timesScalar = tf.scalar(150);
this.plusScalar = tf.scalar(255.0 / 2);
this.epsilonScalar = tf.scalar(1e-3);
this.video = null;
this.ready = callCallback(this.load(model), callback);
// this.then = this.ready.then;
}
Expand Down Expand Up @@ -90,8 +87,8 @@ class StyleTransfer extends Video {
const moments = tf.moments(input, [0, 1]);
const mu = moments.mean;
const sigmaSq = moments.variance;
const shift = this.variables[StyleTransfer.getVariableName(id)];
const scale = this.variables[StyleTransfer.getVariableName(id + 1)];
const shift = this.getVariable(id);
const scale = this.getVariable(id + 1);
const epsilon = this.epsilonScalar;
const normalized = tf.div(tf.sub(input.asType('float32'), mu), tf.sqrt(tf.add(sigmaSq, epsilon)));
const shifted = tf.add(tf.mul(scale, normalized), shift);
Expand All @@ -109,7 +106,7 @@ class StyleTransfer extends Video {
*/
convLayer(input, strides, relu, id) {
return tf.tidy(() => {
const y = tf.conv2d(input, this.variables[StyleTransfer.getVariableName(id)], [strides, strides], 'same');
const y = tf.conv2d(input, this.getVariable(id), [strides, strides], 'same');
const y2 = this.instanceNorm(y, id + 1);
return relu ? tf.relu(y2) : y2;
});
Expand Down Expand Up @@ -142,7 +139,7 @@ class StyleTransfer extends Video {
const newRows = height * strides;
const newCols = width * strides;
const newShape = [newRows, newCols, numFilters];
const y = tf.conv2dTranspose(input, this.variables[StyleTransfer.getVariableName(id)], newShape, [strides, strides], 'same');
const y = tf.conv2dTranspose(input, this.getVariable(id), newShape, [strides, strides], 'same');
const y2 = this.instanceNorm(y, id + 1);
const y3 = tf.relu(y2);
return y3;
Expand Down Expand Up @@ -180,6 +177,10 @@ class StyleTransfer extends Video {

/**
* @private
*
* Applies each layer of the model in sequence, where the output of one layer
* is used as the input of the next layer.
*
* @param {ImageData | HTMLImageElement | HTMLCanvasElement | HTMLVideoElement} input
* @return {Promise<HTMLImageElement>}
*/
Expand Down Expand Up @@ -221,12 +222,19 @@ class StyleTransfer extends Video {
this.epsilonScalar.dispose();
}

// Static Methods
static getVariableName(id) {
if (id === 0) {
return 'Variable';
}
return `Variable_${id}`;
/**
* @private
*
* Access a variable's tensor from its numeric index.
* Model contains variables with ids from 0 to 47.
* The returned tensor will be 4D if `id` is divisible by 3, or 1D otherwise.
*
* @param {number} id
* @returns {tf.Tensor}
*/
getVariable(id) {
const key = id === 0 ? 'Variable' : `Variable_${id}`;
return this.variables[key];
}
}

Expand Down