diff --git a/README.md b/README.md index d1927ca..0f617ac 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,10 @@ -# human-models -Human library optional models repository +# Human Models + +[Human main repository](https://github.com/vladmandic/human) + +For model details and credits see [documentation in the main library](https://github.com/vladmandic/human/wiki/Models) + +Default models are included in the main library + +Optional models are published here to keep the size of the main library contained + diff --git a/models/README.md b/models/README.md new file mode 100644 index 0000000..4618f45 --- /dev/null +++ b/models/README.md @@ -0,0 +1,5 @@ +# Human Library: Models + +For details see Wiki: + +- [**List of Models & Credits**](https://github.com/vladmandic/human/wiki/Models) diff --git a/models/age.bin b/models/age.bin new file mode 100644 index 0000000..750ee3a Binary files /dev/null and b/models/age.bin differ diff --git a/models/age.json b/models/age.json new file mode 100644 index 0000000..874873c --- /dev/null +++ b/models/age.json @@ -0,0 +1,327 @@ +{ + "format": "graph-model", + "generatedBy": "https://github.com/shamangary/SSR-Net", + "convertedBy": "https://github.com/vladmandic", + "userDefinedMetadata": + { + "signature": + { + "inputs": {"input_1:0":{"name":"input_1:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"-1"},{"size":"64"},{"size":"64"},{"size":"3"}]}}}, + "outputs": {"Identity:0":{"name":"Identity:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"-1"},{"size":"1"}]}}} + } + }, + "modelTopology": + { + "node": + [ + {"name":"StatefulPartitionedCall/functional_1/pred_a/strided_slice/stack","op":"Const","attr":{"dtype":{"type":"DT_INT32"},"value":{"tensor":{"dtype":"DT_INT32","tensorShape":{"dim":[{"size":"2"}]}}}}}, + {"name":"StatefulPartitionedCall/functional_1/pred_a/strided_slice/stack_1","op":"Const","attr":{"value":{"tensor":{"dtype":"DT_INT32","tensorShape":{"dim":[{"size":"2"}]}}},"dtype":{"type":"DT_INT32"}}}, + 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+ } + ] +} \ No newline at end of file diff --git a/models/faceboxes.ts b/models/faceboxes.ts new file mode 100644 index 0000000..94be524 --- /dev/null +++ b/models/faceboxes.ts @@ -0,0 +1,69 @@ +import { log } from '../log'; +import * as tf from '../../dist/tfjs.esm.js'; +import * as profile from '../profile'; + +export class FaceBoxes { + enlarge: number; + model: any; + config: any; + + constructor(model, config) { + this.enlarge = 1.1; + this.model = model; + this.config = config; + } + + async estimateFaces(input, config) { + if (config) this.config = config; + const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = []; + const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]); + const castT = resizeT.toInt(); + let scores; + let boxes; + if (!config.profile) { + const [scoresT, boxesT, numT] = await this.model.executeAsync(castT); + scores = scoresT.dataSync(); + const squeezeT = boxesT.squeeze(); + boxes = squeezeT.arraySync(); + scoresT.dispose(); + boxesT.dispose(); + squeezeT.dispose(); + numT.dispose(); + } else { + const profileData = await tf.profile(() => this.model.executeAsync(castT)); + scores = profileData.result[0].dataSync(); + const squeezeT = profileData.result[1].squeeze(); + boxes = squeezeT.arraySync(); + profileData.result.forEach((t) => t.dispose()); + profile.run('faceboxes', profileData); + } + castT.dispose(); + resizeT.dispose(); + for (const i in boxes) { + if (scores[i] && scores[i] > this.config.face.detector.minConfidence) { + const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge]; + const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])]; + const box = [ + parseInt((boxRaw[0] * input.shape[2]).toString()), + parseInt((boxRaw[1] * input.shape[1]).toString()), + parseInt((boxRaw[2] * input.shape[2]).toString()), + parseInt((boxRaw[3] * input.shape[1]).toString())]; + const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]); + const image = resized.div([255]); + resized.dispose(); + results.push({ confidence: scores[i], box, boxRaw, image }); + // add mesh, meshRaw, annotations, + } + } + return results; + } +} + +export async function load(config) { + const model = await tf.loadGraphModel(config.face.detector.modelPath); + if (config.debug) log(`load model: ${config.face.detector.modelPath.match(/\/(.*)\./)[1]}`); + const faceboxes = new FaceBoxes(model, config); + if (config.face.mesh.enabled && config.debug) log(`load model: ${config.face.mesh.modelPath.match(/\/(.*)\./)[1]}`); + if (config.face.iris.enabled && config.debug) log(`load model: ${config.face.iris.modelPath.match(/\/(.*)\./)[1]}`); + return faceboxes; +} diff --git a/models/faceboxes.txt b/models/faceboxes.txt new file mode 100644 index 0000000..58e9c23 --- /dev/null +++ b/models/faceboxes.txt @@ -0,0 +1 @@ +https://github.com/TropComplique/FaceBoxes-tensorflow diff --git a/models/facemesh.bin b/models/facemesh.bin new file mode 100644 index 0000000..e2a6c0b Binary files /dev/null and b/models/facemesh.bin differ diff --git a/models/facemesh.json b/models/facemesh.json new file mode 100644 index 0000000..a7688a4 --- /dev/null +++ b/models/facemesh.json @@ -0,0 +1,274 @@ +{ + "format": "graph-model", + "generatedBy": "https://github.com/google/mediapipe", + "convertedBy": "https://github.com/vladmandic", + "userDefinedMetadata": + { + "signature": + { + "inputs": + { + "input_1:0":{"name":"input_1:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"192"},{"size":"192"},{"size":"3"}]}} + }, + "outputs": + { + "Identity_1:0":{"name":"Identity_1:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"266"}]}}, + "Identity_2:0":{"name":"Identity_2:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"1"}]}}, + "Identity:0":{"name":"Identity:0","dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"1404"}]}} + } + } + }, + "modelTopology": + { + "node": + [ + {"name":"input_1","op":"Placeholder","attr":{"dtype":{"type":"DT_FLOAT"},"shape":{"shape":{"dim":[{"size":"1"},{"size":"192"},{"size":"192"},{"size":"3"}]}}}}, + {"name":"StatefulPartitionedCall/model/conv2d/Conv2D_weights","op":"Const","attr":{"dtype":{"type":"DT_FLOAT"},"value":{"tensor":{"dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"3"},{"size":"3"},{"size":"3"},{"size":"16"}]}}}}}, + {"name":"StatefulPartitionedCall/model/conv2d/Conv2D_bn_offset","op":"Const","attr":{"dtype":{"type":"DT_FLOAT"},"value":{"tensor":{"dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"16"}]}}}}}, + {"name":"StatefulPartitionedCall/model/conv2d_1/Conv2D_weights","op":"Const","attr":{"value":{"tensor":{"dtype":"DT_FLOAT","tensorShape":{"dim":[{"size":"1"},{"size":"1"},{"size":"16"},{"size":"16"}]}}},"dtype":{"type":"DT_FLOAT"}}}, + 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+ } + ] +} \ No newline at end of file