47 lines
1.3 KiB
JavaScript
47 lines
1.3 KiB
JavaScript
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/*
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* 参数中的 kernel 就是卷积核方阵，不过顺着排列成了一个九位的数组
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* 像是这样 [-1, -1, -1, -1, 8, -1, -1, -1, -1]
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* offset 对RGBA数值直接增加，表现为提高亮度
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* 下面的for循环
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* y 代表行，x 代表列，c 代表RGBA
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*/
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export default function (image, kernel, offset = 0) {
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let { width, height, data } = image
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for (let y = 1; y < height - 1; y += 1) {
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for (let x = 1; x < width - 1; x += 1) {
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for (let c = 0; c < 3; c += 1) {
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let i = (y * width + x) * 4 + c
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data[i] =
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offset +
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(
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kernel[0] * data[i - width * 4 - 4] +
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kernel[1] * data[i - width * 4] +
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kernel[2] * data[i - width * 4 + 4] +
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kernel[3] * data[i - 4] +
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kernel[4] * data[i] +
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kernel[5] * data[i + 4] +
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kernel[6] * data[i + width * 4 - 4] +
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kernel[7] * data[i + width * 4] +
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kernel[8] * data[i + width * 4 + 4]
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) / 1
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}
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data[(y * width + x) * 4 + 3] = 255
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}
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}
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return image
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}
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// 卷积核
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// 全连接层, 输入全部特征队列, 输入网络深度
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function 全连接(arr, deep = 1) {
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let list = []
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for (let i = 0; i < arr.length; i++) {
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list.push(arr[i])
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}
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for (let i = 0; i < deep; i++) {
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}
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}
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