mirror of https://github.com/vladmandic/human
added blazepose-upper
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# @vladmandic/human
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Version: **0.40.0**
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Version: **0.40.1**
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Description: **Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition**
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Author: **Vladimir Mandic <mandic00@live.com>**
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@ -9,8 +9,9 @@ Repository: **<git+https://github.com/vladmandic/human.git>**
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## Changelog
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### **HEAD -> main** 2021/03/03 mandic00@live.com
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### **HEAD -> main** 2021/03/04 mandic00@live.com
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- implement blazepose and update demos
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- add todo list
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### **0.30.6** 2021/03/03 mandic00@live.com
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@ -168,18 +168,19 @@ config = {
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},
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},
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posenet: {
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body: {
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enabled: true,
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modelPath: '../models/posenet.json',
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inputSize: 257, // fixed value
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modelPath: '../models/posenet.json', // can be 'posenet', 'blazepose' or 'blazepose-upper'
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inputSize: 257, // fixed value, 257 for posenet and 256 for blazepose
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maxDetections: 10, // maximum number of people detected in the input
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// should be set to the minimum number for performance
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// only valid for posenet as blazepose only detects single pose
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scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score
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// in non-maximum suppression
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// only valid for posenet as blazepose only detects single pose
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nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression
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outputStride: 16, // size of block in which to run point detection, smaller value means higher resolution
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// defined by model itself, can be 8, 16, or 32
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modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet
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// only valid for posenet as blazepose only detects single pose
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modelType: 'posenet-mobilenet', // can be 'posenet-mobilenet', 'posenet-resnet', 'blazepose'
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},
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hand: {
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@ -30,6 +30,8 @@ Additionally, there are two versions of `BlazeFace`: `back` optimized for detect
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- `BlazePose`: Works with single person in frame and that person should be fully visibile
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But if conditions are met, it returns far more details (39 vs 17 keypoints) and is far more accurate
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Furthermore, it returns 3D approximation of each point instead of 2D
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- `BlazePose-Upper`: Works with single person in frame and that person should have upper body in frame
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Good for use-case such as sitting in front of webcam. It returns 31 keypoints along with 3D approximations
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<br>
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@ -34,8 +34,9 @@ result = {
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{
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score, // <number>, overal detection score, only used for 'posenet', not used for 'blazepose'
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keypoints, // for 'posenet': <array of 2D landmarks [ score, landmark, position [x, y] ]> 17 annotated landmarks
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// for 'blazepose': <array of 2D landmarks [ score, landmark, position [x, y, z], presence ]> 39 annotated landmarks
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// presence denotes probability value in range 0..1 that the point is located within the frame
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// for 'blazepose': <array of 2D landmarks [ score, landmark, position [x, y, z], presence ]>
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// 39 annotated landmarks for full or 31 annotated landmarks for upper
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// presence denotes probability value in range 0..1 that the point is located within the frame
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}
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],
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hand: // <array of detected objects>
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