Benchmark: Js Canvas color pick 2

HTML Preparation code:

<canvas id="colorPalette" width="228" height="228"></canvas>

Script Preparation code:

var colorPaletteCTX = document.getElementById('colorPalette').getContext('2d');
var boundry = document.getElementById('colorPalette').getBoundingClientRect();

if (colorPaletteCTX) {
    const {
        width,
        height
    } = colorPaletteCTX.canvas;
    colorPaletteCTX.clearRect(0, 0, width, height);
    const gradientH = colorPaletteCTX.createLinearGradient(0, 0, width, 0);
    gradientH.addColorStop(0, 'rgba(255,255,255,1)');
    gradientH.addColorStop(1, 'rgba(255,0,0,1)');
    colorPaletteCTX.fillStyle = gradientH;
    colorPaletteCTX.fillRect(0, 0, width, height);

    const gradientV = colorPaletteCTX.createLinearGradient(0, 0, 0, height);
    gradientV.addColorStop(0, 'rgba(0,0,0,0)');
    gradientV.addColorStop(1, 'rgba(0,0,0,1)');
    colorPaletteCTX.fillStyle = gradientV;
    colorPaletteCTX.fillRect(0, 0, width, height);
}

function clamp(value, min, max) {
    return Math.max(0, Math.min(1, value - min / max - min));
};

function rgb2Hex(red, green, blue) {
    let _r = red.toString(16);
    let _g = green.toString(16);
    let _b = blue.toString(16);

    // prepend 0s if necessary
    if (_r.length === 1) _r = '0' + _r;
    if (_g.length === 1) _g = '0' + _g;
    if (_b.length === 1) _b = '0' + _b;

    return `#${_r}${_g}${_b}`;
};

function hsv2Rgb(hue, sat, val) {
    const f = (n, k = (n + hue / 60) % 6) =>
        val - val * sat * Math.max(Math.min(k, 4 - k, 1), 0);
    return [
        Math.round(f(5) * 255),
        Math.round(f(3) * 255),
        Math.round(f(1) * 255),
    ];
};

function hsv2Hex(hue, sat, val) {
    const [r, g, b] = hsv2Rgb(hue, sat, val);
    return rgb2Hex(r, g, b);
};

function randomInteger(min, max) {
  return Math.floor(Math.random() * (max - min + 1)) + min;
}

Tests:

Pick color by getImageData()
const x = randomInteger(0,227); const y = randomInteger(0,227); const pixel = colorPaletteCTX.getImageData(x, y, 1, 1)["data"]; console.log(rgb2Hex(pixel[0], pixel[1], pixel[2]));
pick color by hsv
const { top, left, width, height, } = boundry; const x = randomInteger(0,227); const y = randomInteger(0,227); console.log(hsv2Hex(0, clamp(Math.max(0, x - left) / width, 0, 1), clamp((height - Math.max(0, y - top)) / height, 0, 1)));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Pick color by getImageData()
pick color by hsv

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.64 Safari/537.36

Browser/OS: Chrome 101 on Linux

View result in a separate tab

Test name	Executions per second
Pick color by getImageData()	41958.2 Ops/sec
pick color by hsv	48893.3 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its test cases.

**Benchmark Definition**

The benchmark is designed to measure the performance of two different approaches to picking colors from a canvas element: `getImageData()` and HSV (Hue, Saturation, Value) color spaces. The script preparation code sets up a canvas element with a gradient fill and calculates the bounds of the canvas. The HTML preparation code includes a canvas element with a specific width and height.

**Options Compared**

The two test cases compare the performance of:

1. `getImageData()` method to pick a pixel from the canvas.
2. HSV color space calculation to determine the dominant color of the gradient fill.

**Pros and Cons**

1. **`getImageData()`**: This approach is simple and easy to implement, but it can be slower due to the following reasons:
	* It requires retrieving the pixel data from the canvas, which involves creating a new array of pixel values.
	* It requires iterating over the pixels to find the dominant color.
2. **HSV Color Space Calculation**: This approach is generally faster and more efficient than `getImageData()`, but it has some limitations:
	* It requires calculating the HSV values for each pixel, which can be computationally expensive.
	* It assumes that the gradient fill is linear, which might not always be the case.

**Library and Syntax**

The benchmark uses the following libraries and syntax:

1. `getBoundingClientRect()` method: This method returns a rectangular bounding box of an element on the screen.
2. `createLinearGradient()`: This method creates a linear gradient object that can be used to fill shapes.
3. `getImageData()`: This method retrieves pixel data from a canvas element.
4. `clamp()` function: This function limits a value to a specific range.

**Special JS Features or Syntax**

None of the benchmark code uses any special JavaScript features or syntax that would affect its performance.

**Alternatives**

Other alternatives for picking colors from a canvas element include:

1. Using a color picker library like ColorPicker.js.
2. Implementing a custom color picker algorithm using machine learning techniques.
3. Using web workers to offload color calculation tasks from the main thread.

Keep in mind that these alternatives might have their own trade-offs and performance characteristics, which would need to be evaluated separately.

Related benchmarks:

Js Canvas color pick 2 (version: 3)

Comparing performance of: Pick color by getImageData() vs pick color by hsv

Created: 2 years ago by: Registered User

Jump to the latest result

Pick color by getImageData()

pick color by hsv

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):