Human v2.10 is flagged as major release purely due to number of changes and fixes, but there are no breaking changes

• Update TFJS to 3.20.0
• Update TypeScript to 4.8
• Switch default backend from custom humangl to webgl
  Stability and availability of features in standard TFJS allows to switch back
• Add InsightFace model as alternative for face embedding/descriptor detection
  Compatible with multiple variations of InsightFace models
  Configurable using config.face.insightface config section
  See demo/faceid/index.ts for usage
  Models can be downloaded from https://github.com/vladmandic/insightface
• Add human.check() which validates all kernel ops for currently loaded models with currently selected backend
  Example: console.error(human.check());
• Add config.softwareKernels config option which uses CPU implementation for missing ops
  Disabled by default
  If enabled, it is used by face and hand rotation correction (config.face.rotation and config.hand.rotation)
• Add underlying tensorflow library version detection when running in NodeJS to
  human.env and check if GPU is used for acceleration
  Example: console.log(human.env.tensorflow)
• Treat models that cannot be found & loaded as non-critical error
  Instead of creating runtime exception, human will now report that model could not be loaded
• Improve human.reset() method to reset all config values to defaults
• Host models in https://github.com/vladmandic/human-models
  Models can be directly used without downloading to local storage
  Example: modelBasePath: 'https://vladmandic.github.io/human-models/models/'
• Allow hosting models in Google Cloud Bucket
  Hosted models can be directly used without downloading to local storage
  Example: modelBasePath: 'https://storage.googleapis.com/human-models/'
• Stricter linting rules for both TypeScript and JavaScript
  See ./eslintrc.json for details
• Enhanced type safety across entire library
• Fix MobileFaceNet model as alternative for face embedding/descriptor detection
  Configurable using config.face.mobilefacenet config section
• Fix EfficientPose module as alternative body detection
• Fix NanoDet module as alternative object detection
• Fix demo/multithread/node-multiprocess.js demo
• Fix human.match when using mixed descriptor lengths
• Fix WASM feature detection issue in TFJS with Edge/Chromium
  Example: console.log(human.env.wasm)
• Reorganized init & load order for faster library startup
• Increased NodeJS test coverage
  Run using: npm run test
  Runs tests for tfjs-node, tfjs-node-gpu and wasm
• Increased Browser test coverage
  Run using: demo/browser.html
  Runs tests for webgl, humangl, webgpu and wasm
  Runs tests for ESM and IIFE versions of library
• Add config.flags settings to allow setting of custom TFJS flags during backend configuration
• Increase availability of alternative models
  See models/model.json for full list
• Update profiling methods in human.profile()
• Update project dependencies to latest versions