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Add function to apply mask to RawImage. #1020

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Dec 5, 2024
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64 changes: 52 additions & 12 deletions src/utils/image.js
Original file line number Diff line number Diff line change
@@ -1,10 +1,10 @@

/**
* @file Helper module for image processing.
*
* These functions and classes are only used internally,
* @file Helper module for image processing.
*
* These functions and classes are only used internally,
* meaning an end-user shouldn't need to access anything here.
*
*
* @module utils/image
*/

Expand Down Expand Up @@ -91,7 +91,7 @@ export class RawImage {
this.channels = channels;
}

/**
/**
* Returns the size of the image (width, height).
* @returns {[number, number]} The size of the image (width, height).
*/
Expand All @@ -101,9 +101,9 @@ export class RawImage {

/**
* Helper method for reading an image from a variety of input types.
* @param {RawImage|string|URL} input
* @param {RawImage|string|URL} input
* @returns The image object.
*
*
* **Example:** Read image from a URL.
* ```javascript
* let image = await RawImage.read('https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/football-match.jpg');
Expand Down Expand Up @@ -181,7 +181,7 @@ export class RawImage {

/**
* Helper method to create a new Image from a tensor
* @param {Tensor} tensor
* @param {Tensor} tensor
*/
static fromTensor(tensor, channel_format = 'CHW') {
if (tensor.dims.length !== 3) {
Expand Down Expand Up @@ -304,6 +304,46 @@ export class RawImage {
return this._update(newData, this.width, this.height, 4);
}

/**
* Apply an alpha mask to the image. Operates in place.
* @param {RawImage} mask The mask to apply. It should have a single channel.
* @returns {RawImage} The masked image.
* @throws {Error} If the mask is not the same size as the image.
* @throws {Error} If the image does not have 4 channels.
* @throws {Error} If the mask is not a single channel.
*/
putAlpha(mask) {
if (mask.width !== this.width || mask.height !== this.height) {
throw new Error(`Expected mask size to be ${this.width}x${this.height}, but got ${mask.width}x${mask.height}`);
}
if (mask.channels !== 1) {
throw new Error(`Expected mask to have 1 channel, but got ${mask.channels}`);
}

const this_data = this.data;
const mask_data = mask.data;
const num_pixels = this.width * this.height;
if (this.channels === 3) {
// Convert to RGBA and simultaneously apply mask to alpha channel
const newData = new Uint8ClampedArray(num_pixels * 4);
for (let i = 0, in_offset = 0, out_offset = 0; i < num_pixels; ++i) {
newData[out_offset++] = this_data[in_offset++];
newData[out_offset++] = this_data[in_offset++];
newData[out_offset++] = this_data[in_offset++];
newData[out_offset++] = mask_data[i];
}
return this._update(newData, this.width, this.height, 4);

} else if (this.channels === 4) {
// Apply mask to alpha channel in place
for (let i = 0; i < num_pixels; ++i) {
this_data[4 * i + 3] = mask_data[i];
}
return this;
}
throw new Error(`Expected image to have 3 or 4 channels, but got ${this.channels}`);
}

/**
* Resize the image to the given dimensions. This method uses the canvas API to perform the resizing.
* @param {number} width The width of the new image.
Expand Down Expand Up @@ -355,7 +395,7 @@ export class RawImage {
case 'nearest':
case 'bilinear':
case 'bicubic':
// Perform resizing using affine transform.
// Perform resizing using affine transform.
// This matches how the python Pillow library does it.
img = img.affine([width / this.width, 0, 0, height / this.height], {
interpolator: resampleMethod
Expand All @@ -368,7 +408,7 @@ export class RawImage {
img = img.resize({
width, height,
fit: 'fill',
kernel: 'lanczos3', // PIL Lanczos uses a kernel size of 3
kernel: 'lanczos3', // PIL Lanczos uses a kernel size of 3
});
break;

Expand Down Expand Up @@ -447,7 +487,7 @@ export class RawImage {
// Create canvas object for this image
const canvas = this.toCanvas();

// Create a new canvas of the desired size. This is needed since if the
// Create a new canvas of the desired size. This is needed since if the
// image is too small, we need to pad it with black pixels.
const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');

Expand Down Expand Up @@ -495,7 +535,7 @@ export class RawImage {
// Create canvas object for this image
const canvas = this.toCanvas();

// Create a new canvas of the desired size. This is needed since if the
// Create a new canvas of the desired size. This is needed since if the
// image is too small, we need to pad it with black pixels.
const ctx = createCanvasFunction(crop_width, crop_height).getContext('2d');

Expand Down