diff --git a/cartoon/LICENSE b/cartoon/LICENSE new file mode 100644 index 0000000..22c130a --- /dev/null +++ b/cartoon/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2022 Vladimir Mandic + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/cartoon/whitebox.bin b/cartoon/whitebox.bin new file mode 100644 index 0000000..e88b528 Binary files /dev/null and b/cartoon/whitebox.bin differ diff --git a/cartoon/whitebox.json b/cartoon/whitebox.json new file mode 100644 index 0000000..192aab0 --- /dev/null +++ b/cartoon/whitebox.json @@ -0,0 +1,136 @@ +{ + "format": "graph-model", + "generatedBy": "https://github.com/SystemErrorWang/White-box-Cartoonization", + "convertedBy": "https://github.com/vladmandic", + "signature": + { + "inputs": + { + "input": {"name":"input:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"720"},{"size":"720"},{"size":"3"}]}} + }, + "outputs": + { + "add_1": 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+ } + ] +} \ No newline at end of file diff --git a/index.html b/index.html index 173aec1..ce47fce 100644 --- a/index.html +++ b/index.html @@ -15,6 +15,7 @@ + diff --git a/script.js b/script.js index e40d166..abc448a 100644 --- a/script.js +++ b/script.js @@ -5,6 +5,10 @@ import { DrawingUtils } from 'https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.14/vision_bundle.mjs' +import 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@4.20.0/dist/tf.min.js' +import 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-webgpu@4.20.0/dist/tf-backend-webgpu.min.js' +import 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-webgl@4.20.0/dist/tf-backend-webgl.min.js' + video_url.addEventListener('change', e => get_video(e.currentTarget)) video_url.addEventListener('keydown', e => {if (e.key == 'Enter' || e.key == 'Tab') get_video(e.currentTarget)}) video_url.addEventListener('focus', e => {if (e.currentTarget.value) capture_select(e.currentTarget)}) @@ -90,7 +94,7 @@ const effect_funcs = { } }, - 'chest_xray': (W, H, stride, Voffset, Uoffset, yuv, rgba, videoFrame, models) => { + 'chest_xray': (W, H, stride, Voffset, Uoffset, yuv, rgba, models, videoFrame) => { for (let y = 0; y < H; y++) { const yUV = (y >> 1) * stride for (let x = 0; x < W; x++) { @@ -99,8 +103,8 @@ const effect_funcs = { const U = yuv[Voffset + xUV + yUV] const V = yuv[Uoffset + xUV + yUV] const offset4 = (x+y*W) * 4 - ;[rgba[offset4], rgba[1 + offset4], rgba[2 + offset4]] = yuv2rgb(Y, U, V) - rgba[3 + offset4] = 255 + ;[rgba[offset4], rgba[offset4 + 1], rgba[offset4 + 2]] = yuv2rgb(Y, U, V) + rgba[offset4 + 3] = 255 } } const orig_rgba = new Uint8ClampedArray(rgba) @@ -128,8 +132,8 @@ const effect_funcs = { if (is_inside_convex([x, y], vertices)) { const offset4 = (x+y*W) * 4 rgba[offset4] = 255 - orig_rgba[offset4] - rgba[1 + offset4] = 255 - orig_rgba[1 + offset4] - rgba[2 + offset4] = 255 - orig_rgba[2 + offset4] + rgba[offset4 + 1] = 255 - orig_rgba[offset4 + 1] + rgba[offset4 + 2] = 255 - orig_rgba[offset4 + 2] } } }) @@ -137,7 +141,7 @@ const effect_funcs = { } }, - 'background_removal': (W, H, stride, Voffset, Uoffset, yuv, rgba, videoFrame, models) => { + 'background_removal': (W, H, stride, Voffset, Uoffset, yuv, rgba, models, videoFrame) => { const startTimeMs = performance.now() if (lastVideoTime != videoFrame.timestamp) { lastVideoTime = videoFrame.timestamp @@ -152,14 +156,54 @@ const effect_funcs = { const U = yuv[Voffset + xUV + yUV] const V = yuv[Uoffset + xUV + yUV] const offset4 = offset * 4 - ;[rgba[offset4], rgba[1 + offset4], rgba[2 + offset4]] = yuv2rgb(Y, U, V) - rgba[3 + offset4] = 255 + ;[rgba[offset4], rgba[offset4 + 1], rgba[offset4 + 2]] = yuv2rgb(Y, U, V) + rgba[offset4 + 3] = 255 } }) ) } }, + 'cartoonization': (W, H, stride, Voffset, Uoffset, yuv, rgba, models, videoFrame) => { + let rgb = new Float32Array(W * H * 3) + for (let y = 0; y < H; y++) { + const yUV = (y >> 1) * stride + for (let x = 0; x < W; x++) { + const xUV = x >> 1 + const Y = yuv[x + y*W] + const U = yuv[Voffset + xUV + yUV] + const V = yuv[Uoffset + xUV + yUV] + const offset3 = (x+y*W) * 3 + const [R, G, B] = yuv2rgb(Y, U, V) + rgb[offset3] = R + rgb[offset3 + 1] = G + rgb[offset3 + 2] = B + } + } + + tf.tidy(() => { + rgb = models['cartoon'].execute(tf.tensor4d(rgb, [1, H, W, 3]) + .resizeBilinear([720, 720]) + .div(127.5) + .sub(1)) + .add(1) + .mul(127.5) + .cast('int32') + .resizeBilinear([H, W]) + .dataSync() + }) + + for (let y = 0; y < H; y++) + for (let x = 0; x < W; x++) { + const offset3 = (x+y*W) * 3 + const offset4 = (x+y*W) * 4 + rgba[offset4] = rgb[offset3] + rgba[offset4 + 1] = rgb[offset3 + 1] + rgba[offset4 + 2] = rgb[offset3 + 2] + rgba[offset4 + 3] = 255 + } + }, + 'pixel_sorting': (W, H, stride, Voffset, Uoffset, yuv, rgba) => { for (let y = 0; y < H; y++) { const yUV = (y >> 1) * stride @@ -175,18 +219,19 @@ const effect_funcs = { for (let x = 0; x < W; x++) { const {Y, U, V} = line[x] const offset4 = (x+y*W) * 4 - ;[rgba[offset4], rgba[1 + offset4], rgba[2 + offset4]] = yuv2rgb(Y, U, V) - rgba[3 + offset4] = 255 + ;[rgba[offset4], rgba[offset4 + 1], rgba[offset4 + 2]] = yuv2rgb(Y, U, V) + rgba[offset4 + 3] = 255 } } }, 'bayer_dithering': (W, H, stride, Voffset, Uoffset, yuv, rgba) => { - const bayer_r = 128 - const threshold = 128 - const matrix = - [[ -0.5 , 0 ], - [ 0.25, -0.25 ]] + const bayer_r = 96 + const threshold = 144 + const matrix = [[ -0.5 , 0 , -0.375 , 0.125 ], + [ 0.25 , -0.25 , 0.375 , -0.125 ], + [ -0.3125, 0.1875, -0.4375, 0.0625 ], + [ 0.4375, -0.0625, 0.3125, -0.1875 ]] const bayer_n = matrix.length for (let y = 0; y < H; y++) { const yUV = (y >> 1) * stride @@ -207,9 +252,9 @@ const effect_funcs = { } const offset4 = (x+y*W) * 4 rgba[offset4] = R - rgba[1 + offset4] = G - rgba[2 + offset4] = B - rgba[3 + offset4] = 255 + rgba[offset4 + 1] = G + rgba[offset4 + 2] = B + rgba[offset4 + 3] = 255 } } }, @@ -223,8 +268,8 @@ const effect_funcs = { const U = yuv[Voffset + xUV + yUV] const V = yuv[Uoffset + xUV + yUV] const offset4 = (x+y*W) * 4 - ;[rgba[offset4], rgba[1 + offset4], rgba[2 + offset4]] = yuv2rgb(Y, U, V) - rgba[3 + offset4] = 255 + ;[rgba[offset4], rgba[offset4 + 1], rgba[offset4 + 2]] = yuv2rgb(Y, U, V) + rgba[offset4 + 3] = 255 } } }, @@ -233,7 +278,7 @@ const effect_funcs = { effect_funcs['recode_landmarks'] = effect_funcs['recode_original'] let capture_started -const unsupported = '
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