add final expression recognition model + global api

src/globalApi/nets.ts

@@ -5,6 +5,7 @@ import { FaceDetection } from '../classes/FaceDetection';
 import { FaceLandmarks5 } from '../classes/FaceLandmarks5';
 import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
 import { FaceExpressionNet } from '../faceExpressionNet/FaceExpressionNet';
+import { FaceExpressionPrediction } from '../faceExpressionNet/types';
 import { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';
 import { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';
 import { FaceRecognitionNet } from '../faceRecognitionNet/FaceRecognitionNet';
@@ -105,6 +106,18 @@ export const detectFaceLandmarksTiny = (input: TNetInput): Promise<FaceLandmarks
 export const computeFaceDescriptor = (input: TNetInput): Promise<Float32Array | Float32Array[]>  =>
   nets.faceRecognitionNet.computeFaceDescriptor(input)
 
+
+/**
+ * Recognizes the facial expressions of a face and returns the likelyhood of
+ * each facial expression.
+ *
+ * @param inputs The face image extracted from the bounding box of a face. Can
+ * also be an array of input images, which will be batch processed.
+ * @returns An array of facial expressions with corresponding probabilities or array thereof in case of batch input.
+ */
+export const recognizeFaceExpressions = (input: TNetInput): Promise<FaceExpressionPrediction[] | FaceExpressionPrediction[][]> =>
+  nets.faceExpressionNet.predictExpressions(input)
+
 export const loadSsdMobilenetv1Model = (url: string) => nets.ssdMobilenetv1.load(url)
 export const loadTinyFaceDetectorModel = (url: string) => nets.tinyFaceDetector.load(url)
 export const loadMtcnnModel = (url: string) => nets.mtcnn.load(url)
@@ -112,6 +125,7 @@ export const loadTinyYolov2Model = (url: string) => nets.tinyYolov2.load(url)
 export const loadFaceLandmarkModel = (url: string) => nets.faceLandmark68Net.load(url)
 export const loadFaceLandmarkTinyModel = (url: string) => nets.faceLandmark68TinyNet.load(url)
 export const loadFaceRecognitionModel = (url: string) => nets.faceRecognitionNet.load(url)
+export const loadFaceExpressionModel = (url: string) => nets.faceExpressionNet.load(url)
 
 // backward compatibility
 export const loadFaceDetectionModel = loadSsdMobilenetv1Model

weights/face_expression_model-weights_manifest.json

+[{"weights":[{"name":"dense0/conv0/filters","shape":[3,3,3,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0057930146946626555,"min":-0.7125408074435067}},{"name":"dense0/conv0/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv1/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006473719839956246,"min":-0.6408982641556684}},{"name":"dense0/conv1/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010509579321917366,"min":-1.408283629136927}},{"name":"dense0/conv1/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005666389652326995,"min":-0.7252978754978554}},{"name":"dense0/conv2/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010316079270605948,"min":-1.1760330368490781}},{"name":"dense0/conv2/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv3/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0063220320963392074,"min":-0.853474333005793}},{"name":"dense0/conv3/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010322785377502442,"min":-1.4658355236053466}},{"name":"dense0/conv3/bias","shape":[32],"dtype":"float32"},{"name":"dense1/conv0/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0042531527724920535,"min":-0.5741756242864272}},{"name":"dense1/conv0/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010653339647779278,"min":-1.1825207009035}},{"name":"dense1/conv0/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv1/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005166931012097527,"min":-0.6355325144879957}},{"name":"dense1/conv1/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011478300188101974,"min":-1.3888743227603388}},{"name":"dense1/conv1/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv2/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006144821410085641,"min":-0.8479853545918185}},{"name":"dense1/conv2/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010541967317169788,"min":-1.3809977185492421}},{"name":"dense1/conv2/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005769844849904378,"min":-0.686611537138621}},{"name":"dense1/conv3/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010939095534530341,"min":-1.2689350820055196}},{"name":"dense1/conv3/bias","shape":[64],"dtype":"float32"},{"name":"dense2/conv0/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0037769308277204924,"min":-0.40790852939381317}},{"name":"dense2/conv0/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01188667194516051,"min":-1.4382873053644218}},{"name":"dense2/conv0/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv1/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006497045825509464,"min":-0.8381189114907208}},{"name":"dense2/conv1/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011632198913424622,"min":-1.3377028750438316}},{"name":"dense2/conv1/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv2/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005947182225246056,"min":-0.7969224181829715}},{"name":"dense2/conv2/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011436844339557722,"min":-1.4524792311238306}},{"name":"dense2/conv2/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv3/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006665432686899222,"min":-0.8998334127313949}},{"name":"dense2/conv3/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01283421422920975,"min":-1.642779421338848}},{"name":"dense2/conv3/bias","shape":[128],"dtype":"float32"},{"name":"dense3/conv0/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004711699953266218,"min":-0.6737730933170692}},{"name":"dense3/conv0/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010955964817720302,"min":-1.3914075318504784}},{"name":"dense3/conv0/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv1/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00554193468654857,"min":-0.7149095745647656}},{"name":"dense3/conv1/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016790372250126858,"min":-2.484975093018775}},{"name":"dense3/conv1/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv2/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006361540626077091,"min":-0.8142772001378676}},{"name":"dense3/conv2/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01777329678628959,"min":-1.7062364914838006}},{"name":"dense3/conv2/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv3/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006900275922289082,"min":-0.8625344902861353}},{"name":"dense3/conv3/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015449936717164282,"min":-1.9003422162112067}},{"name":"dense3/conv3/bias","shape":[256],"dtype":"float32"},{"name":"fc/weights","shape":[256,7],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004834276554631252,"min":-0.7203072066400565}},{"name":"fc/bias","shape":[7],"dtype":"float32"}],"paths":["face_expression_model-shard1"]}]
\ No newline at end of file