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update tfjs and expand readme

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Vladimir Mandic 2022-01-14 10:04:13 -05:00
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9
CHANGELOG.md
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@ -9,12 +9,15 @@
## Changelog ## Changelog
### **1.6.4** 2022/01/14 mandic00@live.com
### **origin/master** 2022/01/06 mandic00@live.com
### **1.6.3** 2022/01/06 mandic00@live.com ### **1.6.3** 2022/01/06 mandic00@live.com
### **origin/master** 2022/01/01 mandic00@live.com
### **1.6.2** 2022/01/01 mandic00@live.com ### **1.6.2** 2022/01/01 mandic00@live.com

147
README.md
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@ -53,15 +53,18 @@ Example can be accessed directly using Git pages using URL:
### NodeJS ### NodeJS
Three NodeJS examples are: NodeJS examples are:
- `/demp/node-simple.js`:
Simplest possible NodeJS demo for FaceAPI in under 30 lines of JavaScript code
- `/demo/node.js`: - `/demo/node.js`:
Regular usage of `FaceAPI` from `NodeJS` Using `TFJS` native methods to load images without external dependencies
Using `TFJS` native methods to load images without external dependencies - `/demo/node-canvas.js` and `/demo/node-image.js`:
- `/demo/node-canvas.js`:
Regular usage of `FaceAPI` from `NodeJS`
Using external `canvas` module to load images Using external `canvas` module to load images
Which also allows for image drawing and saving inside `NodeJS` environment Which also allows for image drawing and saving inside `NodeJS` environment
- `/demo/node-match.js`:
Simple demo that compares face similarity from a given image
to a second image or list of images in a folder
- `/demo/node-multiprocess.js`: - `/demo/node-multiprocess.js`:
Multiprocessing showcase that uses pool of worker processes Multiprocessing showcase that uses pool of worker processes
(`node-multiprocess-worker.js`) (`node-multiprocess-worker.js`)
@ -102,7 +105,7 @@ Three NodeJS examples are:
``` ```
Note that `@tensorflow/tfjs-node` or `@tensorflow/tfjs-node-gpu` Note that `@tensorflow/tfjs-node` or `@tensorflow/tfjs-node-gpu`
must be installed before using NodeJS example must be installed before using any **NodeJS** examples
<br><hr><br> <br><hr><br>
@ -323,44 +326,46 @@ By default it starts HTTP server on port 8000 and HTTPS server on port 8001 and
- <https://localhost:8001/demo/webcam.html> - <https://localhost:8001/demo/webcam.html>
```js ```js
2021-09-08 13:41:06 INFO: @vladmandic/face-api version 1.4.2 2022-01-14 09:56:19 INFO: @vladmandic/face-api version 1.6.4
2021-09-08 13:41:06 INFO: User: vlado Platform: linux Arch: x64 Node: v16.8.0 2022-01-14 09:56:19 INFO: User: vlado Platform: linux Arch: x64 Node: v17.2.0
2021-09-08 13:41:06 INFO: Application: { name: '@vladmandic/face-api', version: '1.4.2' } 2022-01-14 09:56:19 INFO: Application: { name: '@vladmandic/face-api', version: '1.6.4' }
2021-09-08 13:41:06 INFO: Environment: { profile: 'development', config: 'build.json', tsconfig: true, eslintrc: true, git: true } 2022-01-14 09:56:19 INFO: Environment: { profile: 'development', config: '.build.json', package: 'package.json', tsconfig: true, eslintrc: true, git: true }
2021-09-08 13:41:06 INFO: Toolchain: { esbuild: '0.12.25', typescript: '4.4.2', typedoc: '0.21.9', eslint: '7.32.0' } 2022-01-14 09:56:19 INFO: Toolchain: { build: '0.6.7', esbuild: '0.14.11', typescript: '4.5.4', typedoc: '0.22.10', eslint: '8.6.0' }
2021-09-08 13:41:06 STATE: WebServer: { ssl: false, port: 8000, root: '.' } 2022-01-14 09:56:19 INFO: Build: { profile: 'development', steps: [ 'serve', 'watch', 'compile' ] }
2021-09-08 13:41:06 STATE: WebServer: { ssl: true, port: 8001, root: '.', sslKey: '/home/vlado/dev/build/cert/https.key', sslCrt: '/home/vlado/dev/build/cert/https.crt' } 2022-01-14 09:56:19 STATE: WebServer: { ssl: false, port: 8000, root: '.' }
2021-09-08 13:41:06 STATE: Watch: { locations: [ 'test/src/**', 'src/**' ] } 2022-01-14 09:56:19 STATE: WebServer: { ssl: true, port: 8001, root: '.', sslKey: 'build/cert/https.key', sslCrt: 'build/cert/https.crt' }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 143, outputBytes: 1322 } 2022-01-14 09:56:19 STATE: Watch: { locations: [ 'src/**', 'README.md', 'src/**', 'src/**' ] }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node.js', files: 162, inputBytes: 234423, outputBytes: 175260 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/node/cpu', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 143, outputBytes: 1276 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-gpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 147, outputBytes: 1330 } 2022-01-14 09:56:19 STATE: Compile: { name: 'faceapi/node/cpu', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node.js', files: 162, inputBytes: 234787, outputBytes: 175203 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-gpu.js', files: 162, inputBytes: 234431, outputBytes: 175268 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/node/gpu', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-gpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 147, outputBytes: 1296 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-cpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 138, outputBytes: 1321 } 2022-01-14 09:56:19 STATE: Compile: { name: 'faceapi/node/gpu', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-gpu.js', files: 162, inputBytes: 234807, outputBytes: 175219 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-cpu.js', files: 162, inputBytes: 234422, outputBytes: 175259 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/node/wasm', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-wasm.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 185, outputBytes: 1367 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 276, outputBytes: 272 } 2022-01-14 09:56:19 STATE: Compile: { name: 'faceapi/node/wasm', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-wasm.js', files: 162, inputBytes: 234878, outputBytes: 175294 }
2021-09-08 13:41:06 STATE: Build: { type: 'development', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm-nobundle.js', files: 162, inputBytes: 233373, outputBytes: 169020 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/browser/tf-version', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-version.ts', output: 'dist/tfjs.version.js', files: 1, inputBytes: 1063, outputBytes: 1662 }
2021-09-08 13:41:07 STATE: Build: { type: 'development', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 7, inputBytes: 276, outputBytes: 2371544 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/browser/esm/nobundle', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 2, inputBytes: 2172, outputBytes: 811 }
2021-09-08 13:41:07 STATE: Build: { type: 'development', format: 'iife', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.js', files: 162, inputBytes: 2604645, outputBytes: 2486481 } 2022-01-14 09:56:19 STATE: Compile: { name: 'faceapi/browser/esm/nobundle', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm-nobundle.js', files: 162, inputBytes: 234322, outputBytes: 169437 }
2021-09-08 13:41:07 STATE: Build: { type: 'development', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm.js', files: 162, inputBytes: 2604645, outputBytes: 2369658 } 2022-01-14 09:56:19 STATE: Compile: { name: 'tfjs/browser/esm/bundle', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 11, inputBytes: 2172, outputBytes: 2444105 }
. 2022-01-14 09:56:20 STATE: Compile: { name: 'faceapi/browser/iife/bundle', format: 'iife', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.js', files: 162, inputBytes: 2677616, outputBytes: 1252572 }
. 2022-01-14 09:56:20 STATE: Compile: { name: 'faceapi/browser/esm/bundle', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm.js', files: 162, inputBytes: 2677616, outputBytes: 2435063 }
2021-09-08 13:41:14 DATA: GET/2.0 200 text/html; charset=utf-8 1047 /demo/index.html ::1 2022-01-14 09:56:20 INFO: Listening...
2021-09-08 13:41:14 DATA: GET/2.0 200 text/javascript; charset=utf-8 6898 /demo/index.js ::1 ...
2021-09-08 13:41:14 DATA: GET/2.0 200 text/javascript; charset=utf-8 2369658 /dist/face-api.esm.js ::1 2022-01-14 09:56:46 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'text/html', size: 1047, url: '/', remote: '::1' }
2021-09-08 13:41:14 DATA: GET/2.0 200 application/octet-stream 6341199 /dist/face-api.esm.js.map ::1 2022-01-14 09:56:46 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'text/javascript', size: 6919, url: '/index.js', remote: '::1' }
2021-09-08 13:41:14 DATA: GET/2.0 200 application/json; charset=utf-8 3219 /model/tiny_face_detector_model-weights_manifest.json ::1 2022-01-14 09:56:46 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'text/javascript', size: 2435063, url: '/dist/face-api.esm.js', remote: '::1' }
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2021-09-08 13:41:15 DATA: GET/2.0 200 application/json; charset=utf-8 28233 /model/ssd_mobilenetv1_model-weights_manifest.json ::1 2022-01-14 09:56:47 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 3219, url: '/model/tiny_face_detector_model-weights_manifest.json', remote: '::1' }
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2021-09-08 13:41:15 DATA: GET/2.0 200 application/json; charset=utf-8 8392 /model/age_gender_model-weights_manifest.json ::1 2022-01-14 09:56:47 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 28233, url: '/model/ssd_mobilenetv1_model-weights_manifest.json', remote: '::1' }
2021-09-08 13:41:15 DATA: GET/2.0 200 application/octet-stream 429708 /model/age_gender_model.bin ::1 2022-01-14 09:56:47 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/octet-stream', size: 5616957, url: '/model/ssd_mobilenetv1_model.bin', remote: '::1' }
2021-09-08 13:41:15 DATA: GET/2.0 200 application/json; charset=utf-8 8485 /model/face_landmark_68_model-weights_manifest.json ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 8392, url: '/model/age_gender_model-weights_manifest.json', remote: '::1' }
2021-09-08 13:41:15 DATA: GET/2.0 200 application/octet-stream 356840 /model/face_landmark_68_model.bin ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/octet-stream', size: 429708, url: '/model/age_gender_model.bin', remote: '::1' }
2021-09-08 13:41:15 DATA: GET/2.0 200 application/json; charset=utf-8 19615 /model/face_recognition_model-weights_manifest.json ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 8485, url: '/model/face_landmark_68_model-weights_manifest.json', remote: '::1' }
2021-09-08 13:41:15 DATA: GET/2.0 200 application/octet-stream 6444032 /model/face_recognition_model.bin ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/octet-stream', size: 356840, url: '/model/face_landmark_68_model.bin', remote: '::1' }
2021-09-08 13:41:16 DATA: GET/2.0 200 application/json; charset=utf-8 6980 /model/face_expression_model-weights_manifest.json ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 19615, url: '/model/face_recognition_model-weights_manifest.json', remote: '::1' }
2021-09-08 13:41:16 DATA: GET/2.0 200 application/octet-stream 329468 /model/face_expression_model.bin ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/octet-stream', size: 6444032, url: '/model/face_recognition_model.bin', remote: '::1' }
2021-09-08 13:41:16 DATA: GET/2.0 200 image/jpg 144516 /demo/sample1.jpg ::1 2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/json', size: 6980, url: '/model/face_expression_model-weights_manifest.json', remote: '::1' }
2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'application/octet-stream', size: 329468, url: '/model/face_expression_model.bin', remote: '::1' }
2022-01-14 09:56:48 DATA: HTTPS: { method: 'GET', ver: '2.0', status: 200, mime: 'image/jpeg', size: 144516, url: '/sample1.jpg', remote: '::1' }
``` ```
<br><hr><br> <br><hr><br>
@ -396,28 +401,31 @@ Build process uses `@vladmandic/build` module that creates optimized build for e
``` ```
```js ```js
2021-09-08 13:40:19 INFO: @vladmandic/face-api version 1.4.2 2022-01-14 09:54:23 INFO: Application: { name: '@vladmandic/face-api', version: '1.6.4' }
2021-09-08 13:40:19 INFO: User: vlado Platform: linux Arch: x64 Node: v16.8.0 2022-01-14 09:54:23 INFO: Environment: { profile: 'production', config: '.build.json', package: 'package.json', tsconfig: true, eslintrc: true, git: true }
2021-09-08 13:40:19 INFO: Application: { name: '@vladmandic/face-api', version: '1.4.2' } 2022-01-14 09:54:23 INFO: Toolchain: { build: '0.6.7', esbuild: '0.14.11', typescript: '4.5.4', typedoc: '0.22.10', eslint: '8.6.0' }
2021-09-08 13:40:19 INFO: Environment: { profile: 'production', config: 'build.json', tsconfig: true, eslintrc: true, git: true } 2022-01-14 09:54:23 INFO: Build: { profile: 'production', steps: [ 'clean', 'compile', 'typings', 'typedoc', 'lint', 'changelog' ] }
2021-09-08 13:40:19 INFO: Toolchain: { esbuild: '0.12.25', typescript: '4.4.2', typedoc: '0.21.9', eslint: '7.32.0' } 2022-01-14 09:54:23 STATE: Clean: { locations: [ 'dist/*', 'typedoc/*', 'types/lib/src' ] }
2021-09-08 13:40:19 STATE: Clean: { locations: [ 'dist/*', 'types/*', 'typedoc/*', [length]: 3 ] } 2022-01-14 09:54:23 STATE: Compile: { name: 'tfjs/node/cpu', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 143, outputBytes: 1276 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 143, outputBytes: 1322 } 2022-01-14 09:54:23 STATE: Compile: { name: 'faceapi/node/cpu', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node.js', files: 162, inputBytes: 234787, outputBytes: 175203 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node.js', files: 162, inputBytes: 234423, outputBytes: 175260 } 2022-01-14 09:54:23 STATE: Compile: { name: 'tfjs/node/gpu', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-gpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 147, outputBytes: 1296 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-gpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 147, outputBytes: 1330 } 2022-01-14 09:54:23 STATE: Compile: { name: 'faceapi/node/gpu', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-gpu.js', files: 162, inputBytes: 234807, outputBytes: 175219 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-gpu.js', files: 162, inputBytes: 234431, outputBytes: 175268 } 2022-01-14 09:54:23 STATE: Compile: { name: 'tfjs/node/wasm', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-wasm.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 185, outputBytes: 1367 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/tfjs/tf-node-cpu.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 138, outputBytes: 1321 } 2022-01-14 09:54:23 STATE: Compile: { name: 'faceapi/node/wasm', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-wasm.js', files: 162, inputBytes: 234878, outputBytes: 175294 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'cjs', platform: 'node', input: 'src/index.ts', output: 'dist/face-api.node-cpu.js', files: 162, inputBytes: 234422, outputBytes: 175259 } 2022-01-14 09:54:23 STATE: Compile: { name: 'tfjs/browser/tf-version', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-version.ts', output: 'dist/tfjs.version.js', files: 1, inputBytes: 1063, outputBytes: 1662 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 1, inputBytes: 276, outputBytes: 272 } 2022-01-14 09:54:23 STATE: Compile: { name: 'tfjs/browser/esm/nobundle', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 2, inputBytes: 2172, outputBytes: 811 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm-nobundle.js', files: 162, inputBytes: 233373, outputBytes: 169020 } 2022-01-14 09:54:23 STATE: Compile: { name: 'faceapi/browser/esm/nobundle', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm-nobundle.js', files: 162, inputBytes: 234322, outputBytes: 169437 }
2021-09-08 13:40:19 STATE: Build: { type: 'production', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 7, inputBytes: 276, outputBytes: 2371544 } 2022-01-14 09:54:24 STATE: Compile: { name: 'tfjs/browser/esm/bundle', format: 'esm', platform: 'browser', input: 'src/tfjs/tf-browser.ts', output: 'dist/tfjs.esm.js', files: 11, inputBytes: 2172, outputBytes: 2444105 }
2021-09-08 13:40:20 STATE: Build: { type: 'production', format: 'iife', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.js', files: 162, inputBytes: 2604645, outputBytes: 2486481 } 2022-01-14 09:54:24 STATE: Compile: { name: 'faceapi/browser/iife/bundle', format: 'iife', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.js', files: 162, inputBytes: 2677616, outputBytes: 1252572 }
2021-09-08 13:40:20 STATE: Build: { type: 'production', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm.js', files: 162, inputBytes: 2604645, outputBytes: 2369658 } 2022-01-14 09:54:24 STATE: Compile: { name: 'faceapi/browser/esm/bundle', format: 'esm', platform: 'browser', input: 'src/index.ts', output: 'dist/face-api.esm.js', files: 162, inputBytes: 2677616, outputBytes: 2435063 }
2021-09-08 13:40:22 STATE: Typings: { input: 'src/index.ts', output: 'types', files: 93 } 2022-01-14 09:54:27 STATE: Typings: { input: 'src/index.ts', output: 'types/lib', files: 93 }
2021-09-08 13:40:27 STATE: TypeDoc: { input: 'src/index.ts', output: 'typedoc', objects: 154 } 2022-01-14 09:54:31 STATE: TypeDoc: { input: 'src/index.ts', output: 'typedoc', objects: 154, generated: true }
2021-09-08 13:40:37 STATE: Lint: { locations: [ 'src/**', [length]: 1 ], files: 171, errors: 0, warnings: 0 } 2022-01-14 09:54:45 STATE: Lint: { locations: [ 'src/' ], files: 174, errors: 0, warnings: 0 }
2021-09-08 13:40:37 STATE: ChangeLog: { repository: 'https://github.com/vladmandic/face-api', branch: 'master', output: 'CHANGELOG.md' } 2022-01-14 09:54:45 STATE: ChangeLog: { repository: 'https://github.com/vladmandic/face-api', branch: 'master', output: 'CHANGELOG.md' }
2021-09-08 13:40:37 INFO: Profile production done 2022-01-14 09:54:45 INFO: Done...
2022-01-14 09:54:45 STATE: Copy: { input: 'types/lib/dist/tfjs.esm.d.ts' }
2022-01-14 09:54:46 STATE: API-Extractor: { succeeeded: true, errors: 0, warnings: 414 }
2022-01-14 09:54:46 INFO: FaceAPI Build complete...
``` ```
<br><hr><br> <br><hr><br>
@ -435,7 +443,7 @@ Build process uses `@vladmandic/build` module that creates optimized build for e
This is updated **face-api.js** with latest available TensorFlow/JS as the original is not compatible with **tfjs 2.0+**. This is updated **face-api.js** with latest available TensorFlow/JS as the original is not compatible with **tfjs 2.0+**.
Forked from [face-api.js](https://github.com/justadudewhohacks/face-api.js) version **0.22.2** which was released on March 22nd, 2020 Forked from [face-api.js](https://github.com/justadudewhohacks/face-api.js) version **0.22.2** which was released on March 22nd, 2020
Currently based on **`TensorFlow/JS` 3.12.0** Currently using **`TensorFlow/JS` 3.13.0**
*Why?* I needed FaceAPI that does not cause version conflict with newer versions of TensorFlow *Why?* I needed FaceAPI that does not cause version conflict with newer versions of TensorFlow
And since original FaceAPI was open-source, I've released this version as well And since original FaceAPI was open-source, I've released this version as well
@ -462,7 +470,7 @@ Compared to [face-api.js](https://github.com/justadudewhohacks/face-api.js) vers
Original `face-api.js` is based on `TFJS` **1.7.4** Original `face-api.js` is based on `TFJS` **1.7.4**
- Compatible with `WebGL`, `CPU` and `WASM` TFJS Browser backends - Compatible with `WebGL`, `CPU` and `WASM` TFJS Browser backends
- Compatible with both `tfjs-node` and `tfjs-node-gpu` TFJS NodeJS backends - Compatible with both `tfjs-node` and `tfjs-node-gpu` TFJS NodeJS backends
- Updated all type castings for TypeScript type checking to `TypeScript 4.4` - Updated all type castings for TypeScript type checking to `TypeScript 4.5`
- Switched bundling from `UMD` to `ESM` + `CommonJS` with fallback to `IIFE` - Switched bundling from `UMD` to `ESM` + `CommonJS` with fallback to `IIFE`
Resulting code is optimized per-platform instead of being universal Resulting code is optimized per-platform instead of being universal
Fully tree shakable when imported as an `ESM` module Fully tree shakable when imported as an `ESM` module
@ -484,6 +492,7 @@ Compared to [face-api.js](https://github.com/justadudewhohacks/face-api.js) vers
- Added `face angle` calculations that returns `roll`, `yaw` and `pitch` - Added `face angle` calculations that returns `roll`, `yaw` and `pitch`
- Added `typdoc` automatic API specification generation during build - Added `typdoc` automatic API specification generation during build
- Added `changelog` automatic generation during build - Added `changelog` automatic generation during build
- Created new process to generate **TypeDocs** bundle using API-Extractor
<br> <br>

2
demo/index.js
View File

@ -108,7 +108,7 @@ async function main() {
const params = new URLSearchParams(location.search); const params = new URLSearchParams(location.search);
if (params.has('backend')) { if (params.has('backend')) {
const backend = params.get('backend'); const backend = params.get('backend');
await faceapi.tf.setWasmPaths('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.12.0/dist/'); await faceapi.tf.setWasmPaths('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.13.0/dist/');
log(`Chosen backend: ${backend}`); log(`Chosen backend: ${backend}`);
await faceapi.tf.setBackend(backend); await faceapi.tf.setBackend(backend);
} else { } else {

48
dist/face-api.esm-nobundle.js vendored
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@ -8,7 +8,6 @@ var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames; var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty; var __hasOwnProp = Object.prototype.hasOwnProperty;
var __markAsModule = (target) => __defProp(target, "__esModule", { value: true });
var __require = /* @__PURE__ */ ((x) => typeof require !== "undefined" ? require : typeof Proxy !== "undefined" ? new Proxy(x, { var __require = /* @__PURE__ */ ((x) => typeof require !== "undefined" ? require : typeof Proxy !== "undefined" ? new Proxy(x, {
get: (a, b) => (typeof require !== "undefined" ? require : a)[b] get: (a, b) => (typeof require !== "undefined" ? require : a)[b]
}) : x)(function(x) { }) : x)(function(x) {
@ -17,14 +16,13 @@ var __require = /* @__PURE__ */ ((x) => typeof require !== "undefined" ? require
throw new Error('Dynamic require of "' + x + '" is not supported'); throw new Error('Dynamic require of "' + x + '" is not supported');
}); });
var __export = (target, all) => { var __export = (target, all) => {
__markAsModule(target);
for (var name in all) for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true }); __defProp(target, name, { get: all[name], enumerable: true });
}; };
var __reExport = (target, module, desc) => { var __reExport = (target, module, copyDefault, desc) => {
if (module && typeof module === "object" || typeof module === "function") { if (module && typeof module === "object" || typeof module === "function") {
for (let key of __getOwnPropNames(module)) for (let key of __getOwnPropNames(module))
if (!__hasOwnProp.call(target, key) && key !== "default") if (!__hasOwnProp.call(target, key) && (copyDefault || key !== "default"))
__defProp(target, key, { get: () => module[key], enumerable: !(desc = __getOwnPropDesc(module, key)) || desc.enumerable }); __defProp(target, key, { get: () => module[key], enumerable: !(desc = __getOwnPropDesc(module, key)) || desc.enumerable });
} }
return target; return target;
@ -41,14 +39,14 @@ __reExport(tfjs_esm_exports, dist_star3);
import * as dist_star from "@tensorflow/tfjs/dist/index.js"; import * as dist_star from "@tensorflow/tfjs/dist/index.js";
import * as dist_star2 from "@tensorflow/tfjs-backend-webgl/dist/index.js"; import * as dist_star2 from "@tensorflow/tfjs-backend-webgl/dist/index.js";
import * as dist_star3 from "@tensorflow/tfjs-backend-wasm/dist/index.js"; import * as dist_star3 from "@tensorflow/tfjs-backend-wasm/dist/index.js";
var version = "3.12.0"; var version = "3.13.0";
var version2 = "3.12.0"; var version2 = "3.13.0";
var version3 = "3.12.0"; var version3 = "3.13.0";
var version4 = "3.12.0"; var version4 = "3.13.0";
var version5 = "3.12.0"; var version5 = "3.13.0";
var version6 = "3.12.0"; var version6 = "3.13.0";
var version7 = "3.12.0"; var version7 = "3.13.0";
var version8 = "3.12.0"; var version8 = "3.13.0";
var version9 = { var version9 = {
tfjs: version, tfjs: version,
"tfjs-core": version2, "tfjs-core": version2,
@ -948,13 +946,13 @@ function getContext2dOrThrow(canvasArg) {
} }
// src/draw/DrawTextField.ts // src/draw/DrawTextField.ts
var AnchorPosition; var AnchorPosition = /* @__PURE__ */ ((AnchorPosition2) => {
(function(AnchorPosition2) {
AnchorPosition2["TOP_LEFT"] = "TOP_LEFT"; AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT"; AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT";
AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT"; AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT";
AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT"; AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT";
})(AnchorPosition || (AnchorPosition = {})); return AnchorPosition2;
})(AnchorPosition || {});
var DrawTextFieldOptions = class { var DrawTextFieldOptions = class {
constructor(options = {}) { constructor(options = {}) {
const { const {
@ -965,7 +963,7 @@ var DrawTextFieldOptions = class {
fontStyle, fontStyle,
padding padding
} = options; } = options;
this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT; this.anchorPosition = anchorPosition || "TOP_LEFT" /* TOP_LEFT */;
this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)"; this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)";
this.fontColor = fontColor || "rgba(255, 255, 255, 1)"; this.fontColor = fontColor || "rgba(255, 255, 255, 1)";
this.fontSize = fontSize || 14; this.fontSize = fontSize || 14;
@ -989,8 +987,8 @@ var DrawTextField = class {
} }
getUpperLeft(ctx, canvasDims) { getUpperLeft(ctx, canvasDims) {
const { anchorPosition } = this.options; const { anchorPosition } = this.options;
const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT; const isShiftLeft = anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */ || anchorPosition === "TOP_RIGHT" /* TOP_RIGHT */;
const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT; const isShiftTop = anchorPosition === "BOTTOM_LEFT" /* BOTTOM_LEFT */ || anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */;
const textFieldWidth = this.measureWidth(ctx); const textFieldWidth = this.measureWidth(ctx);
const textFieldHeight = this.measureHeight(); const textFieldHeight = this.measureHeight();
const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x; const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x;
@ -1041,7 +1039,7 @@ var DrawBoxOptions = class {
this.lineWidth = lineWidth || 2; this.lineWidth = lineWidth || 2;
this.label = label; this.label = label;
const defaultDrawLabelOptions = { const defaultDrawLabelOptions = {
anchorPosition: AnchorPosition.BOTTOM_LEFT, anchorPosition: "BOTTOM_LEFT" /* BOTTOM_LEFT */,
backgroundColor: this.boxColor backgroundColor: this.boxColor
}; };
this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions }); this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });
@ -2135,7 +2133,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
} }
// package.json // package.json
var version10 = "1.6.3"; var version10 = "1.6.4";
// src/xception/extractParams.ts // src/xception/extractParams.ts
function extractorsFactory2(extractWeights, paramMappings) { function extractorsFactory2(extractWeights, paramMappings) {
@ -2350,11 +2348,11 @@ function extractParamsFromWeightMap4(weightMap) {
} }
// src/ageGenderNet/types.ts // src/ageGenderNet/types.ts
var Gender; var Gender = /* @__PURE__ */ ((Gender2) => {
(function(Gender2) {
Gender2["FEMALE"] = "female"; Gender2["FEMALE"] = "female";
Gender2["MALE"] = "male"; Gender2["MALE"] = "male";
})(Gender || (Gender = {})); return Gender2;
})(Gender || {});
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var AgeGenderNet = class extends NeuralNetwork { var AgeGenderNet = class extends NeuralNetwork {
@ -2400,7 +2398,7 @@ var AgeGenderNet = class extends NeuralNetwork {
const age = ageTensor.dataSync()[0]; const age = ageTensor.dataSync()[0];
const probMale = genderTensor.dataSync()[0]; const probMale = genderTensor.dataSync()[0];
const isMale = probMale > 0.5; const isMale = probMale > 0.5;
const gender = isMale ? Gender.MALE : Gender.FEMALE; const gender = isMale ? "male" /* MALE */ : "female" /* FEMALE */;
const genderProbability = isMale ? probMale : 1 - probMale; const genderProbability = isMale ? probMale : 1 - probMale;
ageTensor.dispose(); ageTensor.dispose();
genderTensor.dispose(); genderTensor.dispose();
@ -2894,7 +2892,7 @@ function extendWithAge(sourceObj, age) {
// src/factories/WithGender.ts // src/factories/WithGender.ts
function isWithGender(obj) { function isWithGender(obj) {
return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE) && isValidProbablitiy(obj.genderProbability); return (obj.gender === "male" /* MALE */ || obj.gender === "female" /* FEMALE */) && isValidProbablitiy(obj.genderProbability);
} }
function extendWithGender(sourceObj, gender, genderProbability) { function extendWithGender(sourceObj, gender, genderProbability) {
const extension = { gender, genderProbability }; const extension = { gender, genderProbability };

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dist/face-api.node-gpu.js vendored
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@ -12,53 +12,59 @@ var __getProtoOf = Object.getPrototypeOf;
var __hasOwnProp = Object.prototype.hasOwnProperty; var __hasOwnProp = Object.prototype.hasOwnProperty;
var __markAsModule = (target) => __defProp(target, "__esModule", { value: true }); var __markAsModule = (target) => __defProp(target, "__esModule", { value: true });
var __commonJS = (cb, mod) => function __require() { var __commonJS = (cb, mod) => function __require() {
return mod || (0, cb[Object.keys(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;
}; };
var __export = (target, all) => { var __export = (target, all) => {
__markAsModule(target);
for (var name in all) for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true }); __defProp(target, name, { get: all[name], enumerable: true });
}; };
var __reExport = (target, module2, desc) => { var __reExport = (target, module2, copyDefault, desc) => {
if (module2 && typeof module2 === "object" || typeof module2 === "function") { if (module2 && typeof module2 === "object" || typeof module2 === "function") {
for (let key of __getOwnPropNames(module2)) for (let key of __getOwnPropNames(module2))
if (!__hasOwnProp.call(target, key) && key !== "default") if (!__hasOwnProp.call(target, key) && (copyDefault || key !== "default"))
__defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable }); __defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule = (module2) => { var __toESM = (module2, isNodeMode) => {
return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", module2 && module2.__esModule && "default" in module2 ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2); return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", !isNodeMode && module2 && module2.__esModule ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2);
}; };
var __toCommonJS = /* @__PURE__ */ ((cache) => {
return (module2, temp) => {
return cache && cache.get(module2) || (temp = __reExport(__markAsModule({}), module2, 1), cache && cache.set(module2, temp), temp);
};
})(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
// dist/tfjs.esm.js // dist/tfjs.esm.js
var require_tfjs_esm = __commonJS({ var require_tfjs_esm = __commonJS({
"dist/tfjs.esm.js"(exports) { "dist/tfjs.esm.js"(exports, module2) {
var __create2 = Object.create;
var __defProp2 = Object.defineProperty; var __defProp2 = Object.defineProperty;
var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor;
var __getOwnPropNames2 = Object.getOwnPropertyNames; var __getOwnPropNames2 = Object.getOwnPropertyNames;
var __getProtoOf2 = Object.getPrototypeOf;
var __hasOwnProp2 = Object.prototype.hasOwnProperty; var __hasOwnProp2 = Object.prototype.hasOwnProperty;
var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true }); var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true });
var __reExport2 = (target, module22, desc) => { var __reExport2 = (target, module22, copyDefault, desc) => {
if (module22 && typeof module22 === "object" || typeof module22 === "function") { if (module22 && typeof module22 === "object" || typeof module22 === "function") {
for (let key of __getOwnPropNames2(module22)) for (let key of __getOwnPropNames2(module22))
if (!__hasOwnProp2.call(target, key) && key !== "default") if (!__hasOwnProp2.call(target, key) && (copyDefault || key !== "default"))
__defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable }); __defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule2 = (module22) => { var __toCommonJS2 = ((cache) => {
return __reExport2(__markAsModule2(__defProp2(module22 != null ? __create2(__getProtoOf2(module22)) : {}, "default", module22 && module22.__esModule && "default" in module22 ? { get: () => module22.default, enumerable: true } : { value: module22, enumerable: true })), module22); return (module22, temp) => {
}; return cache && cache.get(module22) || (temp = __reExport2(__markAsModule2({}), module22, 1), cache && cache.set(module22, temp), temp);
__markAsModule2(exports); };
__reExport2(exports, __toModule2(require("@tensorflow/tfjs-node-gpu"))); })(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
var tf_node_gpu_exports = {};
__reExport2(tf_node_gpu_exports, require("@tensorflow/tfjs-node-gpu"));
module2.exports = __toCommonJS2(tf_node_gpu_exports);
} }
}); });
// src/index.ts // src/index.ts
__export(exports, { var src_exports = {};
__export(src_exports, {
AgeGenderNet: () => AgeGenderNet, AgeGenderNet: () => AgeGenderNet,
BoundingBox: () => BoundingBox, BoundingBox: () => BoundingBox,
Box: () => Box, Box: () => Box,
@ -181,7 +187,7 @@ __export(exports, {
validateConfig: () => validateConfig, validateConfig: () => validateConfig,
version: () => version2 version: () => version2
}); });
var tf42 = __toModule(require_tfjs_esm()); var tf42 = __toESM(require_tfjs_esm());
// src/draw/index.ts // src/draw/index.ts
var draw_exports = {}; var draw_exports = {};
@ -237,7 +243,7 @@ __export(utils_exports, {
range: () => range, range: () => range,
round: () => round round: () => round
}); });
var tf = __toModule(require_tfjs_esm()); var tf = __toESM(require_tfjs_esm());
// src/classes/Dimensions.ts // src/classes/Dimensions.ts
var Dimensions = class { var Dimensions = class {
@ -643,7 +649,7 @@ function nonMaxSuppression(boxes, scores, iouThreshold, isIOU = true) {
} }
// src/ops/normalize.ts // src/ops/normalize.ts
var tf2 = __toModule(require_tfjs_esm()); var tf2 = __toESM(require_tfjs_esm());
function normalize(x, meanRgb) { function normalize(x, meanRgb) {
return tf2.tidy(() => { return tf2.tidy(() => {
const [r, g, b] = meanRgb; const [r, g, b] = meanRgb;
@ -656,7 +662,7 @@ function normalize(x, meanRgb) {
} }
// src/ops/padToSquare.ts // src/ops/padToSquare.ts
var tf3 = __toModule(require_tfjs_esm()); var tf3 = __toESM(require_tfjs_esm());
function padToSquare(imgTensor, isCenterImage = false) { function padToSquare(imgTensor, isCenterImage = false) {
return tf3.tidy(() => { return tf3.tidy(() => {
const [height, width] = imgTensor.shape.slice(1); const [height, width] = imgTensor.shape.slice(1);
@ -1074,13 +1080,13 @@ function getContext2dOrThrow(canvasArg) {
} }
// src/draw/DrawTextField.ts // src/draw/DrawTextField.ts
var AnchorPosition; var AnchorPosition = /* @__PURE__ */ ((AnchorPosition2) => {
(function(AnchorPosition2) {
AnchorPosition2["TOP_LEFT"] = "TOP_LEFT"; AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT"; AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT";
AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT"; AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT";
AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT"; AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT";
})(AnchorPosition || (AnchorPosition = {})); return AnchorPosition2;
})(AnchorPosition || {});
var DrawTextFieldOptions = class { var DrawTextFieldOptions = class {
constructor(options = {}) { constructor(options = {}) {
const { const {
@ -1091,7 +1097,7 @@ var DrawTextFieldOptions = class {
fontStyle, fontStyle,
padding padding
} = options; } = options;
this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT; this.anchorPosition = anchorPosition || "TOP_LEFT" /* TOP_LEFT */;
this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)"; this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)";
this.fontColor = fontColor || "rgba(255, 255, 255, 1)"; this.fontColor = fontColor || "rgba(255, 255, 255, 1)";
this.fontSize = fontSize || 14; this.fontSize = fontSize || 14;
@ -1115,8 +1121,8 @@ var DrawTextField = class {
} }
getUpperLeft(ctx, canvasDims) { getUpperLeft(ctx, canvasDims) {
const { anchorPosition } = this.options; const { anchorPosition } = this.options;
const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT; const isShiftLeft = anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */ || anchorPosition === "TOP_RIGHT" /* TOP_RIGHT */;
const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT; const isShiftTop = anchorPosition === "BOTTOM_LEFT" /* BOTTOM_LEFT */ || anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */;
const textFieldWidth = this.measureWidth(ctx); const textFieldWidth = this.measureWidth(ctx);
const textFieldHeight = this.measureHeight(); const textFieldHeight = this.measureHeight();
const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x; const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x;
@ -1167,7 +1173,7 @@ var DrawBoxOptions = class {
this.lineWidth = lineWidth || 2; this.lineWidth = lineWidth || 2;
this.label = label; this.label = label;
const defaultDrawLabelOptions = { const defaultDrawLabelOptions = {
anchorPosition: AnchorPosition.BOTTOM_LEFT, anchorPosition: "BOTTOM_LEFT" /* BOTTOM_LEFT */,
backgroundColor: this.boxColor backgroundColor: this.boxColor
}; };
this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions }); this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });
@ -1209,7 +1215,7 @@ function drawDetections(canvasArg, detections) {
} }
// src/faceExpressionNet/FaceExpressionNet.ts // src/faceExpressionNet/FaceExpressionNet.ts
var tf18 = __toModule(require_tfjs_esm()); var tf18 = __toESM(require_tfjs_esm());
// src/dom/isMediaLoaded.ts // src/dom/isMediaLoaded.ts
function isMediaLoaded(media) { function isMediaLoaded(media) {
@ -1296,7 +1302,7 @@ function createCanvasFromMedia(media, dims) {
} }
// src/dom/imageTensorToCanvas.ts // src/dom/imageTensorToCanvas.ts
var tf4 = __toModule(require_tfjs_esm()); var tf4 = __toESM(require_tfjs_esm());
async function imageTensorToCanvas(imgTensor, canvas) { async function imageTensorToCanvas(imgTensor, canvas) {
const targetCanvas = canvas || env.getEnv().createCanvasElement(); const targetCanvas = canvas || env.getEnv().createCanvasElement();
const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0); const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@ -1313,7 +1319,7 @@ function isMediaElement(input) {
} }
// src/dom/NetInput.ts // src/dom/NetInput.ts
var tf5 = __toModule(require_tfjs_esm()); var tf5 = __toESM(require_tfjs_esm());
// src/dom/imageToSquare.ts // src/dom/imageToSquare.ts
function imageToSquare(input, inputSize, centerImage = false) { function imageToSquare(input, inputSize, centerImage = false) {
@ -1482,7 +1488,7 @@ async function extractFaces(input, detections) {
} }
// src/dom/extractFaceTensors.ts // src/dom/extractFaceTensors.ts
var tf6 = __toModule(require_tfjs_esm()); var tf6 = __toESM(require_tfjs_esm());
async function extractFaceTensors(imageTensor, detections) { async function extractFaceTensors(imageTensor, detections) {
if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) { if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D"); throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@ -1559,7 +1565,7 @@ async function fetchVideo(uri) {
} }
// src/dom/loadWeightMap.ts // src/dom/loadWeightMap.ts
var tf7 = __toModule(require_tfjs_esm()); var tf7 = __toESM(require_tfjs_esm());
// src/common/getModelUris.ts // src/common/getModelUris.ts
function getModelUris(uri, defaultModelName) { function getModelUris(uri, defaultModelName) {
@ -1604,10 +1610,10 @@ function matchDimensions(input, reference, useMediaDimensions = false) {
} }
// src/faceFeatureExtractor/FaceFeatureExtractor.ts // src/faceFeatureExtractor/FaceFeatureExtractor.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toESM(require_tfjs_esm());
// src/NeuralNetwork.ts // src/NeuralNetwork.ts
var tf8 = __toModule(require_tfjs_esm()); var tf8 = __toESM(require_tfjs_esm());
var NeuralNetwork = class { var NeuralNetwork = class {
constructor(name) { constructor(name) {
this._params = void 0; this._params = void 0;
@ -1723,10 +1729,10 @@ var NeuralNetwork = class {
}; };
// src/faceFeatureExtractor/denseBlock.ts // src/faceFeatureExtractor/denseBlock.ts
var tf10 = __toModule(require_tfjs_esm()); var tf10 = __toESM(require_tfjs_esm());
// src/common/depthwiseSeparableConv.ts // src/common/depthwiseSeparableConv.ts
var tf9 = __toModule(require_tfjs_esm()); var tf9 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv(x, params, stride) { function depthwiseSeparableConv(x, params, stride) {
return tf9.tidy(() => { return tf9.tidy(() => {
let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same"); let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@ -1758,7 +1764,7 @@ function denseBlock4(x, denseBlockParams, isFirstLayer = false, isScaleDown = tr
} }
// src/common/convLayer.ts // src/common/convLayer.ts
var tf11 = __toModule(require_tfjs_esm()); var tf11 = __toESM(require_tfjs_esm());
function convLayer(x, params, padding = "same", withRelu = false) { function convLayer(x, params, padding = "same", withRelu = false) {
return tf11.tidy(() => { return tf11.tidy(() => {
const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias); const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias);
@ -1776,7 +1782,7 @@ function disposeUnusedWeightTensors(weightMap, paramMappings) {
} }
// src/common/extractConvParamsFactory.ts // src/common/extractConvParamsFactory.ts
var tf12 = __toModule(require_tfjs_esm()); var tf12 = __toESM(require_tfjs_esm());
function extractConvParamsFactory(extractWeights, paramMappings) { function extractConvParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, filterSize, mappedPrefix) => { return (channelsIn, channelsOut, filterSize, mappedPrefix) => {
const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]); const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@ -1787,7 +1793,7 @@ function extractConvParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractFCParamsFactory.ts // src/common/extractFCParamsFactory.ts
var tf13 = __toModule(require_tfjs_esm()); var tf13 = __toESM(require_tfjs_esm());
function extractFCParamsFactory(extractWeights, paramMappings) { function extractFCParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, mappedPrefix) => { return (channelsIn, channelsOut, mappedPrefix) => {
const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]); const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@ -1801,7 +1807,7 @@ function extractFCParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractSeparableConvParamsFactory.ts // src/common/extractSeparableConvParamsFactory.ts
var tf14 = __toModule(require_tfjs_esm()); var tf14 = __toESM(require_tfjs_esm());
// src/common/types.ts // src/common/types.ts
var SeparableConvParams = class { var SeparableConvParams = class {
@ -2005,10 +2011,10 @@ var FaceFeatureExtractor = class extends NeuralNetwork {
}; };
// src/faceProcessor/FaceProcessor.ts // src/faceProcessor/FaceProcessor.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toESM(require_tfjs_esm());
// src/common/fullyConnectedLayer.ts // src/common/fullyConnectedLayer.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toESM(require_tfjs_esm());
function fullyConnectedLayer(x, params) { function fullyConnectedLayer(x, params) {
return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias)); return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias));
} }
@ -2290,13 +2296,13 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
} }
// package.json // package.json
var version = "1.6.3"; var version = "1.6.4";
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm()); var tf20 = __toESM(require_tfjs_esm());
// src/xception/TinyXception.ts // src/xception/TinyXception.ts
var tf19 = __toModule(require_tfjs_esm()); var tf19 = __toESM(require_tfjs_esm());
// src/xception/extractParams.ts // src/xception/extractParams.ts
function extractorsFactory2(extractWeights, paramMappings) { function extractorsFactory2(extractWeights, paramMappings) {
@ -2511,11 +2517,11 @@ function extractParamsFromWeightMap4(weightMap) {
} }
// src/ageGenderNet/types.ts // src/ageGenderNet/types.ts
var Gender; var Gender = /* @__PURE__ */ ((Gender2) => {
(function(Gender2) {
Gender2["FEMALE"] = "female"; Gender2["FEMALE"] = "female";
Gender2["MALE"] = "male"; Gender2["MALE"] = "male";
})(Gender || (Gender = {})); return Gender2;
})(Gender || {});
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var AgeGenderNet = class extends NeuralNetwork { var AgeGenderNet = class extends NeuralNetwork {
@ -2561,7 +2567,7 @@ var AgeGenderNet = class extends NeuralNetwork {
const age = ageTensor.dataSync()[0]; const age = ageTensor.dataSync()[0];
const probMale = genderTensor.dataSync()[0]; const probMale = genderTensor.dataSync()[0];
const isMale = probMale > 0.5; const isMale = probMale > 0.5;
const gender = isMale ? Gender.MALE : Gender.FEMALE; const gender = isMale ? "male" /* MALE */ : "female" /* FEMALE */;
const genderProbability = isMale ? probMale : 1 - probMale; const genderProbability = isMale ? probMale : 1 - probMale;
ageTensor.dispose(); ageTensor.dispose();
genderTensor.dispose(); genderTensor.dispose();
@ -2601,7 +2607,7 @@ var AgeGenderNet = class extends NeuralNetwork {
}; };
// src/faceLandmarkNet/FaceLandmark68NetBase.ts // src/faceLandmarkNet/FaceLandmark68NetBase.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toESM(require_tfjs_esm());
var FaceLandmark68NetBase = class extends FaceProcessor { var FaceLandmark68NetBase = class extends FaceProcessor {
postProcess(output, inputSize, originalDimensions) { postProcess(output, inputSize, originalDimensions) {
const inputDimensions = originalDimensions.map(({ width, height }) => { const inputDimensions = originalDimensions.map(({ width, height }) => {
@ -2667,7 +2673,7 @@ var FaceLandmark68Net = class extends FaceLandmark68NetBase {
}; };
// src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts // src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts
var tf22 = __toModule(require_tfjs_esm()); var tf22 = __toESM(require_tfjs_esm());
// src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts // src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts
function extractParamsFromWeightMapTiny(weightMap) { function extractParamsFromWeightMapTiny(weightMap) {
@ -2759,13 +2765,13 @@ var FaceLandmarkNet = class extends FaceLandmark68Net {
}; };
// src/faceRecognitionNet/FaceRecognitionNet.ts // src/faceRecognitionNet/FaceRecognitionNet.ts
var tf27 = __toModule(require_tfjs_esm()); var tf27 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/convLayer.ts // src/faceRecognitionNet/convLayer.ts
var tf24 = __toModule(require_tfjs_esm()); var tf24 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/scaleLayer.ts // src/faceRecognitionNet/scaleLayer.ts
var tf23 = __toModule(require_tfjs_esm()); var tf23 = __toESM(require_tfjs_esm());
function scale(x, params) { function scale(x, params) {
return tf23.add(tf23.mul(x, params.weights), params.biases); return tf23.add(tf23.mul(x, params.weights), params.biases);
} }
@ -2789,7 +2795,7 @@ function convDown(x, params) {
} }
// src/faceRecognitionNet/extractParams.ts // src/faceRecognitionNet/extractParams.ts
var tf25 = __toModule(require_tfjs_esm()); var tf25 = __toESM(require_tfjs_esm());
function extractorsFactory3(extractWeights, paramMappings) { function extractorsFactory3(extractWeights, paramMappings) {
function extractFilterValues(numFilterValues, numFilters, filterSize) { function extractFilterValues(numFilterValues, numFilters, filterSize) {
const weights = extractWeights(numFilterValues); const weights = extractWeights(numFilterValues);
@ -2954,7 +2960,7 @@ function extractParamsFromWeightMap5(weightMap) {
} }
// src/faceRecognitionNet/residualLayer.ts // src/faceRecognitionNet/residualLayer.ts
var tf26 = __toModule(require_tfjs_esm()); var tf26 = __toESM(require_tfjs_esm());
function residual(x, params) { function residual(x, params) {
let out = conv2(x, params.conv1); let out = conv2(x, params.conv1);
out = convNoRelu(out, params.conv2); out = convNoRelu(out, params.conv2);
@ -3068,7 +3074,7 @@ function extendWithAge(sourceObj, age) {
// src/factories/WithGender.ts // src/factories/WithGender.ts
function isWithGender(obj) { function isWithGender(obj) {
return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE) && isValidProbablitiy(obj.genderProbability); return (obj.gender === "male" /* MALE */ || obj.gender === "female" /* FEMALE */) && isValidProbablitiy(obj.genderProbability);
} }
function extendWithGender(sourceObj, gender, genderProbability) { function extendWithGender(sourceObj, gender, genderProbability) {
const extension = { gender, genderProbability }; const extension = { gender, genderProbability };
@ -3076,10 +3082,10 @@ function extendWithGender(sourceObj, gender, genderProbability) {
} }
// src/ssdMobilenetv1/SsdMobilenetv1.ts // src/ssdMobilenetv1/SsdMobilenetv1.ts
var tf34 = __toModule(require_tfjs_esm()); var tf34 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/extractParams.ts // src/ssdMobilenetv1/extractParams.ts
var tf28 = __toModule(require_tfjs_esm()); var tf28 = __toESM(require_tfjs_esm());
function extractorsFactory5(extractWeights, paramMappings) { function extractorsFactory5(extractWeights, paramMappings) {
function extractDepthwiseConvParams(numChannels, mappedPrefix) { function extractDepthwiseConvParams(numChannels, mappedPrefix) {
const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]); const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@ -3349,10 +3355,10 @@ function extractParamsFromWeightMap6(weightMap) {
} }
// src/ssdMobilenetv1/mobileNetV1.ts // src/ssdMobilenetv1/mobileNetV1.ts
var tf30 = __toModule(require_tfjs_esm()); var tf30 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/pointwiseConvLayer.ts // src/ssdMobilenetv1/pointwiseConvLayer.ts
var tf29 = __toModule(require_tfjs_esm()); var tf29 = __toESM(require_tfjs_esm());
function pointwiseConvLayer(x, params, strides) { function pointwiseConvLayer(x, params, strides) {
return tf29.tidy(() => { return tf29.tidy(() => {
let out = tf29.conv2d(x, params.filters, strides, "same"); let out = tf29.conv2d(x, params.filters, strides, "same");
@ -3458,7 +3464,7 @@ function nonMaxSuppression2(boxes, scores, maxOutputSize, iouThreshold, scoreThr
} }
// src/ssdMobilenetv1/outputLayer.ts // src/ssdMobilenetv1/outputLayer.ts
var tf31 = __toModule(require_tfjs_esm()); var tf31 = __toESM(require_tfjs_esm());
function getCenterCoordinatesAndSizesLayer(x) { function getCenterCoordinatesAndSizesLayer(x) {
const vec = tf31.unstack(tf31.transpose(x, [1, 0])); const vec = tf31.unstack(tf31.transpose(x, [1, 0]));
const sizes = [ const sizes = [
@ -3500,10 +3506,10 @@ function outputLayer(boxPredictions, classPredictions, params) {
} }
// src/ssdMobilenetv1/predictionLayer.ts // src/ssdMobilenetv1/predictionLayer.ts
var tf33 = __toModule(require_tfjs_esm()); var tf33 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/boxPredictionLayer.ts // src/ssdMobilenetv1/boxPredictionLayer.ts
var tf32 = __toModule(require_tfjs_esm()); var tf32 = __toESM(require_tfjs_esm());
function boxPredictionLayer(x, params) { function boxPredictionLayer(x, params) {
return tf32.tidy(() => { return tf32.tidy(() => {
const batchSize = x.shape[0]; const batchSize = x.shape[0];
@ -3671,7 +3677,7 @@ var DEFAULT_MODEL_NAME = "tiny_yolov2_model";
var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model"; var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
// src/tinyYolov2/TinyYolov2Base.ts // src/tinyYolov2/TinyYolov2Base.ts
var tf39 = __toModule(require_tfjs_esm()); var tf39 = __toESM(require_tfjs_esm());
// src/tinyYolov2/config.ts // src/tinyYolov2/config.ts
var isNumber = (arg) => typeof arg === "number"; var isNumber = (arg) => typeof arg === "number";
@ -3697,10 +3703,10 @@ function validateConfig(config) {
} }
// src/tinyYolov2/convWithBatchNorm.ts // src/tinyYolov2/convWithBatchNorm.ts
var tf36 = __toModule(require_tfjs_esm()); var tf36 = __toESM(require_tfjs_esm());
// src/tinyYolov2/leaky.ts // src/tinyYolov2/leaky.ts
var tf35 = __toModule(require_tfjs_esm()); var tf35 = __toESM(require_tfjs_esm());
function leaky(x) { function leaky(x) {
return tf35.tidy(() => { return tf35.tidy(() => {
const min = tf35.mul(x, tf35.scalar(0.10000000149011612)); const min = tf35.mul(x, tf35.scalar(0.10000000149011612));
@ -3721,7 +3727,7 @@ function convWithBatchNorm(x, params) {
} }
// src/tinyYolov2/depthwiseSeparableConv.ts // src/tinyYolov2/depthwiseSeparableConv.ts
var tf37 = __toModule(require_tfjs_esm()); var tf37 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv2(x, params) { function depthwiseSeparableConv2(x, params) {
return tf37.tidy(() => { return tf37.tidy(() => {
let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]); let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@ -3732,7 +3738,7 @@ function depthwiseSeparableConv2(x, params) {
} }
// src/tinyYolov2/extractParams.ts // src/tinyYolov2/extractParams.ts
var tf38 = __toModule(require_tfjs_esm()); var tf38 = __toESM(require_tfjs_esm());
function extractorsFactory7(extractWeights, paramMappings) { function extractorsFactory7(extractWeights, paramMappings) {
const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings); const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
function extractBatchNormParams(size, mappedPrefix) { function extractBatchNormParams(size, mappedPrefix) {
@ -4118,10 +4124,10 @@ var ComposableTask = class {
}; };
// src/globalApi/DetectFaceLandmarksTasks.ts // src/globalApi/DetectFaceLandmarksTasks.ts
var tf41 = __toModule(require_tfjs_esm()); var tf41 = __toESM(require_tfjs_esm());
// src/globalApi/extractFacesAndComputeResults.ts // src/globalApi/extractFacesAndComputeResults.ts
var tf40 = __toModule(require_tfjs_esm()); var tf40 = __toESM(require_tfjs_esm());
async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) { async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) {
const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection); const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes)); const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@ -4564,6 +4570,7 @@ function resizeResults(results, dimensions) {
// src/index.ts // src/index.ts
var version2 = version; var version2 = version;
module.exports = __toCommonJS(src_exports);
// Annotate the CommonJS export names for ESM import in node: // Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = { 0 && (module.exports = {
AgeGenderNet, AgeGenderNet,

153
dist/face-api.node-wasm.js vendored
View File

@ -12,54 +12,60 @@ var __getProtoOf = Object.getPrototypeOf;
var __hasOwnProp = Object.prototype.hasOwnProperty; var __hasOwnProp = Object.prototype.hasOwnProperty;
var __markAsModule = (target) => __defProp(target, "__esModule", { value: true }); var __markAsModule = (target) => __defProp(target, "__esModule", { value: true });
var __commonJS = (cb, mod) => function __require() { var __commonJS = (cb, mod) => function __require() {
return mod || (0, cb[Object.keys(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;
}; };
var __export = (target, all) => { var __export = (target, all) => {
__markAsModule(target);
for (var name in all) for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true }); __defProp(target, name, { get: all[name], enumerable: true });
}; };
var __reExport = (target, module2, desc) => { var __reExport = (target, module2, copyDefault, desc) => {
if (module2 && typeof module2 === "object" || typeof module2 === "function") { if (module2 && typeof module2 === "object" || typeof module2 === "function") {
for (let key of __getOwnPropNames(module2)) for (let key of __getOwnPropNames(module2))
if (!__hasOwnProp.call(target, key) && key !== "default") if (!__hasOwnProp.call(target, key) && (copyDefault || key !== "default"))
__defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable }); __defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule = (module2) => { var __toESM = (module2, isNodeMode) => {
return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", module2 && module2.__esModule && "default" in module2 ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2); return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", !isNodeMode && module2 && module2.__esModule ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2);
}; };
var __toCommonJS = /* @__PURE__ */ ((cache) => {
return (module2, temp) => {
return cache && cache.get(module2) || (temp = __reExport(__markAsModule({}), module2, 1), cache && cache.set(module2, temp), temp);
};
})(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
// dist/tfjs.esm.js // dist/tfjs.esm.js
var require_tfjs_esm = __commonJS({ var require_tfjs_esm = __commonJS({
"dist/tfjs.esm.js"(exports) { "dist/tfjs.esm.js"(exports, module2) {
var __create2 = Object.create;
var __defProp2 = Object.defineProperty; var __defProp2 = Object.defineProperty;
var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor;
var __getOwnPropNames2 = Object.getOwnPropertyNames; var __getOwnPropNames2 = Object.getOwnPropertyNames;
var __getProtoOf2 = Object.getPrototypeOf;
var __hasOwnProp2 = Object.prototype.hasOwnProperty; var __hasOwnProp2 = Object.prototype.hasOwnProperty;
var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true }); var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true });
var __reExport2 = (target, module22, desc) => { var __reExport2 = (target, module22, copyDefault, desc) => {
if (module22 && typeof module22 === "object" || typeof module22 === "function") { if (module22 && typeof module22 === "object" || typeof module22 === "function") {
for (let key of __getOwnPropNames2(module22)) for (let key of __getOwnPropNames2(module22))
if (!__hasOwnProp2.call(target, key) && key !== "default") if (!__hasOwnProp2.call(target, key) && (copyDefault || key !== "default"))
__defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable }); __defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule2 = (module22) => { var __toCommonJS2 = ((cache) => {
return __reExport2(__markAsModule2(__defProp2(module22 != null ? __create2(__getProtoOf2(module22)) : {}, "default", module22 && module22.__esModule && "default" in module22 ? { get: () => module22.default, enumerable: true } : { value: module22, enumerable: true })), module22); return (module22, temp) => {
}; return cache && cache.get(module22) || (temp = __reExport2(__markAsModule2({}), module22, 1), cache && cache.set(module22, temp), temp);
__markAsModule2(exports); };
__reExport2(exports, __toModule2(require("@tensorflow/tfjs"))); })(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
__reExport2(exports, __toModule2(require("@tensorflow/tfjs-backend-wasm"))); var tf_node_wasm_exports = {};
__reExport2(tf_node_wasm_exports, require("@tensorflow/tfjs"));
__reExport2(tf_node_wasm_exports, require("@tensorflow/tfjs-backend-wasm"));
module2.exports = __toCommonJS2(tf_node_wasm_exports);
} }
}); });
// src/index.ts // src/index.ts
__export(exports, { var src_exports = {};
__export(src_exports, {
AgeGenderNet: () => AgeGenderNet, AgeGenderNet: () => AgeGenderNet,
BoundingBox: () => BoundingBox, BoundingBox: () => BoundingBox,
Box: () => Box, Box: () => Box,
@ -182,7 +188,7 @@ __export(exports, {
validateConfig: () => validateConfig, validateConfig: () => validateConfig,
version: () => version2 version: () => version2
}); });
var tf42 = __toModule(require_tfjs_esm()); var tf42 = __toESM(require_tfjs_esm());
// src/draw/index.ts // src/draw/index.ts
var draw_exports = {}; var draw_exports = {};
@ -238,7 +244,7 @@ __export(utils_exports, {
range: () => range, range: () => range,
round: () => round round: () => round
}); });
var tf = __toModule(require_tfjs_esm()); var tf = __toESM(require_tfjs_esm());
// src/classes/Dimensions.ts // src/classes/Dimensions.ts
var Dimensions = class { var Dimensions = class {
@ -644,7 +650,7 @@ function nonMaxSuppression(boxes, scores, iouThreshold, isIOU = true) {
} }
// src/ops/normalize.ts // src/ops/normalize.ts
var tf2 = __toModule(require_tfjs_esm()); var tf2 = __toESM(require_tfjs_esm());
function normalize(x, meanRgb) { function normalize(x, meanRgb) {
return tf2.tidy(() => { return tf2.tidy(() => {
const [r, g, b] = meanRgb; const [r, g, b] = meanRgb;
@ -657,7 +663,7 @@ function normalize(x, meanRgb) {
} }
// src/ops/padToSquare.ts // src/ops/padToSquare.ts
var tf3 = __toModule(require_tfjs_esm()); var tf3 = __toESM(require_tfjs_esm());
function padToSquare(imgTensor, isCenterImage = false) { function padToSquare(imgTensor, isCenterImage = false) {
return tf3.tidy(() => { return tf3.tidy(() => {
const [height, width] = imgTensor.shape.slice(1); const [height, width] = imgTensor.shape.slice(1);
@ -1075,13 +1081,13 @@ function getContext2dOrThrow(canvasArg) {
} }
// src/draw/DrawTextField.ts // src/draw/DrawTextField.ts
var AnchorPosition; var AnchorPosition = /* @__PURE__ */ ((AnchorPosition2) => {
(function(AnchorPosition2) {
AnchorPosition2["TOP_LEFT"] = "TOP_LEFT"; AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT"; AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT";
AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT"; AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT";
AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT"; AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT";
})(AnchorPosition || (AnchorPosition = {})); return AnchorPosition2;
})(AnchorPosition || {});
var DrawTextFieldOptions = class { var DrawTextFieldOptions = class {
constructor(options = {}) { constructor(options = {}) {
const { const {
@ -1092,7 +1098,7 @@ var DrawTextFieldOptions = class {
fontStyle, fontStyle,
padding padding
} = options; } = options;
this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT; this.anchorPosition = anchorPosition || "TOP_LEFT" /* TOP_LEFT */;
this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)"; this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)";
this.fontColor = fontColor || "rgba(255, 255, 255, 1)"; this.fontColor = fontColor || "rgba(255, 255, 255, 1)";
this.fontSize = fontSize || 14; this.fontSize = fontSize || 14;
@ -1116,8 +1122,8 @@ var DrawTextField = class {
} }
getUpperLeft(ctx, canvasDims) { getUpperLeft(ctx, canvasDims) {
const { anchorPosition } = this.options; const { anchorPosition } = this.options;
const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT; const isShiftLeft = anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */ || anchorPosition === "TOP_RIGHT" /* TOP_RIGHT */;
const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT; const isShiftTop = anchorPosition === "BOTTOM_LEFT" /* BOTTOM_LEFT */ || anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */;
const textFieldWidth = this.measureWidth(ctx); const textFieldWidth = this.measureWidth(ctx);
const textFieldHeight = this.measureHeight(); const textFieldHeight = this.measureHeight();
const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x; const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x;
@ -1168,7 +1174,7 @@ var DrawBoxOptions = class {
this.lineWidth = lineWidth || 2; this.lineWidth = lineWidth || 2;
this.label = label; this.label = label;
const defaultDrawLabelOptions = { const defaultDrawLabelOptions = {
anchorPosition: AnchorPosition.BOTTOM_LEFT, anchorPosition: "BOTTOM_LEFT" /* BOTTOM_LEFT */,
backgroundColor: this.boxColor backgroundColor: this.boxColor
}; };
this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions }); this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });
@ -1210,7 +1216,7 @@ function drawDetections(canvasArg, detections) {
} }
// src/faceExpressionNet/FaceExpressionNet.ts // src/faceExpressionNet/FaceExpressionNet.ts
var tf18 = __toModule(require_tfjs_esm()); var tf18 = __toESM(require_tfjs_esm());
// src/dom/isMediaLoaded.ts // src/dom/isMediaLoaded.ts
function isMediaLoaded(media) { function isMediaLoaded(media) {
@ -1297,7 +1303,7 @@ function createCanvasFromMedia(media, dims) {
} }
// src/dom/imageTensorToCanvas.ts // src/dom/imageTensorToCanvas.ts
var tf4 = __toModule(require_tfjs_esm()); var tf4 = __toESM(require_tfjs_esm());
async function imageTensorToCanvas(imgTensor, canvas) { async function imageTensorToCanvas(imgTensor, canvas) {
const targetCanvas = canvas || env.getEnv().createCanvasElement(); const targetCanvas = canvas || env.getEnv().createCanvasElement();
const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0); const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@ -1314,7 +1320,7 @@ function isMediaElement(input) {
} }
// src/dom/NetInput.ts // src/dom/NetInput.ts
var tf5 = __toModule(require_tfjs_esm()); var tf5 = __toESM(require_tfjs_esm());
// src/dom/imageToSquare.ts // src/dom/imageToSquare.ts
function imageToSquare(input, inputSize, centerImage = false) { function imageToSquare(input, inputSize, centerImage = false) {
@ -1483,7 +1489,7 @@ async function extractFaces(input, detections) {
} }
// src/dom/extractFaceTensors.ts // src/dom/extractFaceTensors.ts
var tf6 = __toModule(require_tfjs_esm()); var tf6 = __toESM(require_tfjs_esm());
async function extractFaceTensors(imageTensor, detections) { async function extractFaceTensors(imageTensor, detections) {
if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) { if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D"); throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@ -1560,7 +1566,7 @@ async function fetchVideo(uri) {
} }
// src/dom/loadWeightMap.ts // src/dom/loadWeightMap.ts
var tf7 = __toModule(require_tfjs_esm()); var tf7 = __toESM(require_tfjs_esm());
// src/common/getModelUris.ts // src/common/getModelUris.ts
function getModelUris(uri, defaultModelName) { function getModelUris(uri, defaultModelName) {
@ -1605,10 +1611,10 @@ function matchDimensions(input, reference, useMediaDimensions = false) {
} }
// src/faceFeatureExtractor/FaceFeatureExtractor.ts // src/faceFeatureExtractor/FaceFeatureExtractor.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toESM(require_tfjs_esm());
// src/NeuralNetwork.ts // src/NeuralNetwork.ts
var tf8 = __toModule(require_tfjs_esm()); var tf8 = __toESM(require_tfjs_esm());
var NeuralNetwork = class { var NeuralNetwork = class {
constructor(name) { constructor(name) {
this._params = void 0; this._params = void 0;
@ -1724,10 +1730,10 @@ var NeuralNetwork = class {
}; };
// src/faceFeatureExtractor/denseBlock.ts // src/faceFeatureExtractor/denseBlock.ts
var tf10 = __toModule(require_tfjs_esm()); var tf10 = __toESM(require_tfjs_esm());
// src/common/depthwiseSeparableConv.ts // src/common/depthwiseSeparableConv.ts
var tf9 = __toModule(require_tfjs_esm()); var tf9 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv(x, params, stride) { function depthwiseSeparableConv(x, params, stride) {
return tf9.tidy(() => { return tf9.tidy(() => {
let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same"); let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@ -1759,7 +1765,7 @@ function denseBlock4(x, denseBlockParams, isFirstLayer = false, isScaleDown = tr
} }
// src/common/convLayer.ts // src/common/convLayer.ts
var tf11 = __toModule(require_tfjs_esm()); var tf11 = __toESM(require_tfjs_esm());
function convLayer(x, params, padding = "same", withRelu = false) { function convLayer(x, params, padding = "same", withRelu = false) {
return tf11.tidy(() => { return tf11.tidy(() => {
const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias); const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias);
@ -1777,7 +1783,7 @@ function disposeUnusedWeightTensors(weightMap, paramMappings) {
} }
// src/common/extractConvParamsFactory.ts // src/common/extractConvParamsFactory.ts
var tf12 = __toModule(require_tfjs_esm()); var tf12 = __toESM(require_tfjs_esm());
function extractConvParamsFactory(extractWeights, paramMappings) { function extractConvParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, filterSize, mappedPrefix) => { return (channelsIn, channelsOut, filterSize, mappedPrefix) => {
const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]); const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@ -1788,7 +1794,7 @@ function extractConvParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractFCParamsFactory.ts // src/common/extractFCParamsFactory.ts
var tf13 = __toModule(require_tfjs_esm()); var tf13 = __toESM(require_tfjs_esm());
function extractFCParamsFactory(extractWeights, paramMappings) { function extractFCParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, mappedPrefix) => { return (channelsIn, channelsOut, mappedPrefix) => {
const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]); const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@ -1802,7 +1808,7 @@ function extractFCParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractSeparableConvParamsFactory.ts // src/common/extractSeparableConvParamsFactory.ts
var tf14 = __toModule(require_tfjs_esm()); var tf14 = __toESM(require_tfjs_esm());
// src/common/types.ts // src/common/types.ts
var SeparableConvParams = class { var SeparableConvParams = class {
@ -2006,10 +2012,10 @@ var FaceFeatureExtractor = class extends NeuralNetwork {
}; };
// src/faceProcessor/FaceProcessor.ts // src/faceProcessor/FaceProcessor.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toESM(require_tfjs_esm());
// src/common/fullyConnectedLayer.ts // src/common/fullyConnectedLayer.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toESM(require_tfjs_esm());
function fullyConnectedLayer(x, params) { function fullyConnectedLayer(x, params) {
return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias)); return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias));
} }
@ -2291,13 +2297,13 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
} }
// package.json // package.json
var version = "1.6.3"; var version = "1.6.4";
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm()); var tf20 = __toESM(require_tfjs_esm());
// src/xception/TinyXception.ts // src/xception/TinyXception.ts
var tf19 = __toModule(require_tfjs_esm()); var tf19 = __toESM(require_tfjs_esm());
// src/xception/extractParams.ts // src/xception/extractParams.ts
function extractorsFactory2(extractWeights, paramMappings) { function extractorsFactory2(extractWeights, paramMappings) {
@ -2512,11 +2518,11 @@ function extractParamsFromWeightMap4(weightMap) {
} }
// src/ageGenderNet/types.ts // src/ageGenderNet/types.ts
var Gender; var Gender = /* @__PURE__ */ ((Gender2) => {
(function(Gender2) {
Gender2["FEMALE"] = "female"; Gender2["FEMALE"] = "female";
Gender2["MALE"] = "male"; Gender2["MALE"] = "male";
})(Gender || (Gender = {})); return Gender2;
})(Gender || {});
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var AgeGenderNet = class extends NeuralNetwork { var AgeGenderNet = class extends NeuralNetwork {
@ -2562,7 +2568,7 @@ var AgeGenderNet = class extends NeuralNetwork {
const age = ageTensor.dataSync()[0]; const age = ageTensor.dataSync()[0];
const probMale = genderTensor.dataSync()[0]; const probMale = genderTensor.dataSync()[0];
const isMale = probMale > 0.5; const isMale = probMale > 0.5;
const gender = isMale ? Gender.MALE : Gender.FEMALE; const gender = isMale ? "male" /* MALE */ : "female" /* FEMALE */;
const genderProbability = isMale ? probMale : 1 - probMale; const genderProbability = isMale ? probMale : 1 - probMale;
ageTensor.dispose(); ageTensor.dispose();
genderTensor.dispose(); genderTensor.dispose();
@ -2602,7 +2608,7 @@ var AgeGenderNet = class extends NeuralNetwork {
}; };
// src/faceLandmarkNet/FaceLandmark68NetBase.ts // src/faceLandmarkNet/FaceLandmark68NetBase.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toESM(require_tfjs_esm());
var FaceLandmark68NetBase = class extends FaceProcessor { var FaceLandmark68NetBase = class extends FaceProcessor {
postProcess(output, inputSize, originalDimensions) { postProcess(output, inputSize, originalDimensions) {
const inputDimensions = originalDimensions.map(({ width, height }) => { const inputDimensions = originalDimensions.map(({ width, height }) => {
@ -2668,7 +2674,7 @@ var FaceLandmark68Net = class extends FaceLandmark68NetBase {
}; };
// src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts // src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts
var tf22 = __toModule(require_tfjs_esm()); var tf22 = __toESM(require_tfjs_esm());
// src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts // src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts
function extractParamsFromWeightMapTiny(weightMap) { function extractParamsFromWeightMapTiny(weightMap) {
@ -2760,13 +2766,13 @@ var FaceLandmarkNet = class extends FaceLandmark68Net {
}; };
// src/faceRecognitionNet/FaceRecognitionNet.ts // src/faceRecognitionNet/FaceRecognitionNet.ts
var tf27 = __toModule(require_tfjs_esm()); var tf27 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/convLayer.ts // src/faceRecognitionNet/convLayer.ts
var tf24 = __toModule(require_tfjs_esm()); var tf24 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/scaleLayer.ts // src/faceRecognitionNet/scaleLayer.ts
var tf23 = __toModule(require_tfjs_esm()); var tf23 = __toESM(require_tfjs_esm());
function scale(x, params) { function scale(x, params) {
return tf23.add(tf23.mul(x, params.weights), params.biases); return tf23.add(tf23.mul(x, params.weights), params.biases);
} }
@ -2790,7 +2796,7 @@ function convDown(x, params) {
} }
// src/faceRecognitionNet/extractParams.ts // src/faceRecognitionNet/extractParams.ts
var tf25 = __toModule(require_tfjs_esm()); var tf25 = __toESM(require_tfjs_esm());
function extractorsFactory3(extractWeights, paramMappings) { function extractorsFactory3(extractWeights, paramMappings) {
function extractFilterValues(numFilterValues, numFilters, filterSize) { function extractFilterValues(numFilterValues, numFilters, filterSize) {
const weights = extractWeights(numFilterValues); const weights = extractWeights(numFilterValues);
@ -2955,7 +2961,7 @@ function extractParamsFromWeightMap5(weightMap) {
} }
// src/faceRecognitionNet/residualLayer.ts // src/faceRecognitionNet/residualLayer.ts
var tf26 = __toModule(require_tfjs_esm()); var tf26 = __toESM(require_tfjs_esm());
function residual(x, params) { function residual(x, params) {
let out = conv2(x, params.conv1); let out = conv2(x, params.conv1);
out = convNoRelu(out, params.conv2); out = convNoRelu(out, params.conv2);
@ -3069,7 +3075,7 @@ function extendWithAge(sourceObj, age) {
// src/factories/WithGender.ts // src/factories/WithGender.ts
function isWithGender(obj) { function isWithGender(obj) {
return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE) && isValidProbablitiy(obj.genderProbability); return (obj.gender === "male" /* MALE */ || obj.gender === "female" /* FEMALE */) && isValidProbablitiy(obj.genderProbability);
} }
function extendWithGender(sourceObj, gender, genderProbability) { function extendWithGender(sourceObj, gender, genderProbability) {
const extension = { gender, genderProbability }; const extension = { gender, genderProbability };
@ -3077,10 +3083,10 @@ function extendWithGender(sourceObj, gender, genderProbability) {
} }
// src/ssdMobilenetv1/SsdMobilenetv1.ts // src/ssdMobilenetv1/SsdMobilenetv1.ts
var tf34 = __toModule(require_tfjs_esm()); var tf34 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/extractParams.ts // src/ssdMobilenetv1/extractParams.ts
var tf28 = __toModule(require_tfjs_esm()); var tf28 = __toESM(require_tfjs_esm());
function extractorsFactory5(extractWeights, paramMappings) { function extractorsFactory5(extractWeights, paramMappings) {
function extractDepthwiseConvParams(numChannels, mappedPrefix) { function extractDepthwiseConvParams(numChannels, mappedPrefix) {
const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]); const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@ -3350,10 +3356,10 @@ function extractParamsFromWeightMap6(weightMap) {
} }
// src/ssdMobilenetv1/mobileNetV1.ts // src/ssdMobilenetv1/mobileNetV1.ts
var tf30 = __toModule(require_tfjs_esm()); var tf30 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/pointwiseConvLayer.ts // src/ssdMobilenetv1/pointwiseConvLayer.ts
var tf29 = __toModule(require_tfjs_esm()); var tf29 = __toESM(require_tfjs_esm());
function pointwiseConvLayer(x, params, strides) { function pointwiseConvLayer(x, params, strides) {
return tf29.tidy(() => { return tf29.tidy(() => {
let out = tf29.conv2d(x, params.filters, strides, "same"); let out = tf29.conv2d(x, params.filters, strides, "same");
@ -3459,7 +3465,7 @@ function nonMaxSuppression2(boxes, scores, maxOutputSize, iouThreshold, scoreThr
} }
// src/ssdMobilenetv1/outputLayer.ts // src/ssdMobilenetv1/outputLayer.ts
var tf31 = __toModule(require_tfjs_esm()); var tf31 = __toESM(require_tfjs_esm());
function getCenterCoordinatesAndSizesLayer(x) { function getCenterCoordinatesAndSizesLayer(x) {
const vec = tf31.unstack(tf31.transpose(x, [1, 0])); const vec = tf31.unstack(tf31.transpose(x, [1, 0]));
const sizes = [ const sizes = [
@ -3501,10 +3507,10 @@ function outputLayer(boxPredictions, classPredictions, params) {
} }
// src/ssdMobilenetv1/predictionLayer.ts // src/ssdMobilenetv1/predictionLayer.ts
var tf33 = __toModule(require_tfjs_esm()); var tf33 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/boxPredictionLayer.ts // src/ssdMobilenetv1/boxPredictionLayer.ts
var tf32 = __toModule(require_tfjs_esm()); var tf32 = __toESM(require_tfjs_esm());
function boxPredictionLayer(x, params) { function boxPredictionLayer(x, params) {
return tf32.tidy(() => { return tf32.tidy(() => {
const batchSize = x.shape[0]; const batchSize = x.shape[0];
@ -3672,7 +3678,7 @@ var DEFAULT_MODEL_NAME = "tiny_yolov2_model";
var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model"; var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
// src/tinyYolov2/TinyYolov2Base.ts // src/tinyYolov2/TinyYolov2Base.ts
var tf39 = __toModule(require_tfjs_esm()); var tf39 = __toESM(require_tfjs_esm());
// src/tinyYolov2/config.ts // src/tinyYolov2/config.ts
var isNumber = (arg) => typeof arg === "number"; var isNumber = (arg) => typeof arg === "number";
@ -3698,10 +3704,10 @@ function validateConfig(config) {
} }
// src/tinyYolov2/convWithBatchNorm.ts // src/tinyYolov2/convWithBatchNorm.ts
var tf36 = __toModule(require_tfjs_esm()); var tf36 = __toESM(require_tfjs_esm());
// src/tinyYolov2/leaky.ts // src/tinyYolov2/leaky.ts
var tf35 = __toModule(require_tfjs_esm()); var tf35 = __toESM(require_tfjs_esm());
function leaky(x) { function leaky(x) {
return tf35.tidy(() => { return tf35.tidy(() => {
const min = tf35.mul(x, tf35.scalar(0.10000000149011612)); const min = tf35.mul(x, tf35.scalar(0.10000000149011612));
@ -3722,7 +3728,7 @@ function convWithBatchNorm(x, params) {
} }
// src/tinyYolov2/depthwiseSeparableConv.ts // src/tinyYolov2/depthwiseSeparableConv.ts
var tf37 = __toModule(require_tfjs_esm()); var tf37 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv2(x, params) { function depthwiseSeparableConv2(x, params) {
return tf37.tidy(() => { return tf37.tidy(() => {
let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]); let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@ -3733,7 +3739,7 @@ function depthwiseSeparableConv2(x, params) {
} }
// src/tinyYolov2/extractParams.ts // src/tinyYolov2/extractParams.ts
var tf38 = __toModule(require_tfjs_esm()); var tf38 = __toESM(require_tfjs_esm());
function extractorsFactory7(extractWeights, paramMappings) { function extractorsFactory7(extractWeights, paramMappings) {
const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings); const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
function extractBatchNormParams(size, mappedPrefix) { function extractBatchNormParams(size, mappedPrefix) {
@ -4119,10 +4125,10 @@ var ComposableTask = class {
}; };
// src/globalApi/DetectFaceLandmarksTasks.ts // src/globalApi/DetectFaceLandmarksTasks.ts
var tf41 = __toModule(require_tfjs_esm()); var tf41 = __toESM(require_tfjs_esm());
// src/globalApi/extractFacesAndComputeResults.ts // src/globalApi/extractFacesAndComputeResults.ts
var tf40 = __toModule(require_tfjs_esm()); var tf40 = __toESM(require_tfjs_esm());
async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) { async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) {
const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection); const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes)); const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@ -4565,6 +4571,7 @@ function resizeResults(results, dimensions) {
// src/index.ts // src/index.ts
var version2 = version; var version2 = version;
module.exports = __toCommonJS(src_exports);
// Annotate the CommonJS export names for ESM import in node: // Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = { 0 && (module.exports = {
AgeGenderNet, AgeGenderNet,

151
dist/face-api.node.js vendored
View File

@ -12,53 +12,59 @@ var __getProtoOf = Object.getPrototypeOf;
var __hasOwnProp = Object.prototype.hasOwnProperty; var __hasOwnProp = Object.prototype.hasOwnProperty;
var __markAsModule = (target) => __defProp(target, "__esModule", { value: true }); var __markAsModule = (target) => __defProp(target, "__esModule", { value: true });
var __commonJS = (cb, mod) => function __require() { var __commonJS = (cb, mod) => function __require() {
return mod || (0, cb[Object.keys(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports; return mod || (0, cb[__getOwnPropNames(cb)[0]])((mod = { exports: {} }).exports, mod), mod.exports;
}; };
var __export = (target, all) => { var __export = (target, all) => {
__markAsModule(target);
for (var name in all) for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true }); __defProp(target, name, { get: all[name], enumerable: true });
}; };
var __reExport = (target, module2, desc) => { var __reExport = (target, module2, copyDefault, desc) => {
if (module2 && typeof module2 === "object" || typeof module2 === "function") { if (module2 && typeof module2 === "object" || typeof module2 === "function") {
for (let key of __getOwnPropNames(module2)) for (let key of __getOwnPropNames(module2))
if (!__hasOwnProp.call(target, key) && key !== "default") if (!__hasOwnProp.call(target, key) && (copyDefault || key !== "default"))
__defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable }); __defProp(target, key, { get: () => module2[key], enumerable: !(desc = __getOwnPropDesc(module2, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule = (module2) => { var __toESM = (module2, isNodeMode) => {
return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", module2 && module2.__esModule && "default" in module2 ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2); return __reExport(__markAsModule(__defProp(module2 != null ? __create(__getProtoOf(module2)) : {}, "default", !isNodeMode && module2 && module2.__esModule ? { get: () => module2.default, enumerable: true } : { value: module2, enumerable: true })), module2);
}; };
var __toCommonJS = /* @__PURE__ */ ((cache) => {
return (module2, temp) => {
return cache && cache.get(module2) || (temp = __reExport(__markAsModule({}), module2, 1), cache && cache.set(module2, temp), temp);
};
})(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
// dist/tfjs.esm.js // dist/tfjs.esm.js
var require_tfjs_esm = __commonJS({ var require_tfjs_esm = __commonJS({
"dist/tfjs.esm.js"(exports) { "dist/tfjs.esm.js"(exports, module2) {
var __create2 = Object.create;
var __defProp2 = Object.defineProperty; var __defProp2 = Object.defineProperty;
var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor; var __getOwnPropDesc2 = Object.getOwnPropertyDescriptor;
var __getOwnPropNames2 = Object.getOwnPropertyNames; var __getOwnPropNames2 = Object.getOwnPropertyNames;
var __getProtoOf2 = Object.getPrototypeOf;
var __hasOwnProp2 = Object.prototype.hasOwnProperty; var __hasOwnProp2 = Object.prototype.hasOwnProperty;
var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true }); var __markAsModule2 = (target) => __defProp2(target, "__esModule", { value: true });
var __reExport2 = (target, module22, desc) => { var __reExport2 = (target, module22, copyDefault, desc) => {
if (module22 && typeof module22 === "object" || typeof module22 === "function") { if (module22 && typeof module22 === "object" || typeof module22 === "function") {
for (let key of __getOwnPropNames2(module22)) for (let key of __getOwnPropNames2(module22))
if (!__hasOwnProp2.call(target, key) && key !== "default") if (!__hasOwnProp2.call(target, key) && (copyDefault || key !== "default"))
__defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable }); __defProp2(target, key, { get: () => module22[key], enumerable: !(desc = __getOwnPropDesc2(module22, key)) || desc.enumerable });
} }
return target; return target;
}; };
var __toModule2 = (module22) => { var __toCommonJS2 = ((cache) => {
return __reExport2(__markAsModule2(__defProp2(module22 != null ? __create2(__getProtoOf2(module22)) : {}, "default", module22 && module22.__esModule && "default" in module22 ? { get: () => module22.default, enumerable: true } : { value: module22, enumerable: true })), module22); return (module22, temp) => {
}; return cache && cache.get(module22) || (temp = __reExport2(__markAsModule2({}), module22, 1), cache && cache.set(module22, temp), temp);
__markAsModule2(exports); };
__reExport2(exports, __toModule2(require("@tensorflow/tfjs-node"))); })(typeof WeakMap !== "undefined" ? /* @__PURE__ */ new WeakMap() : 0);
var tf_node_exports = {};
__reExport2(tf_node_exports, require("@tensorflow/tfjs-node"));
module2.exports = __toCommonJS2(tf_node_exports);
} }
}); });
// src/index.ts // src/index.ts
__export(exports, { var src_exports = {};
__export(src_exports, {
AgeGenderNet: () => AgeGenderNet, AgeGenderNet: () => AgeGenderNet,
BoundingBox: () => BoundingBox, BoundingBox: () => BoundingBox,
Box: () => Box, Box: () => Box,
@ -181,7 +187,7 @@ __export(exports, {
validateConfig: () => validateConfig, validateConfig: () => validateConfig,
version: () => version2 version: () => version2
}); });
var tf42 = __toModule(require_tfjs_esm()); var tf42 = __toESM(require_tfjs_esm());
// src/draw/index.ts // src/draw/index.ts
var draw_exports = {}; var draw_exports = {};
@ -237,7 +243,7 @@ __export(utils_exports, {
range: () => range, range: () => range,
round: () => round round: () => round
}); });
var tf = __toModule(require_tfjs_esm()); var tf = __toESM(require_tfjs_esm());
// src/classes/Dimensions.ts // src/classes/Dimensions.ts
var Dimensions = class { var Dimensions = class {
@ -643,7 +649,7 @@ function nonMaxSuppression(boxes, scores, iouThreshold, isIOU = true) {
} }
// src/ops/normalize.ts // src/ops/normalize.ts
var tf2 = __toModule(require_tfjs_esm()); var tf2 = __toESM(require_tfjs_esm());
function normalize(x, meanRgb) { function normalize(x, meanRgb) {
return tf2.tidy(() => { return tf2.tidy(() => {
const [r, g, b] = meanRgb; const [r, g, b] = meanRgb;
@ -656,7 +662,7 @@ function normalize(x, meanRgb) {
} }
// src/ops/padToSquare.ts // src/ops/padToSquare.ts
var tf3 = __toModule(require_tfjs_esm()); var tf3 = __toESM(require_tfjs_esm());
function padToSquare(imgTensor, isCenterImage = false) { function padToSquare(imgTensor, isCenterImage = false) {
return tf3.tidy(() => { return tf3.tidy(() => {
const [height, width] = imgTensor.shape.slice(1); const [height, width] = imgTensor.shape.slice(1);
@ -1074,13 +1080,13 @@ function getContext2dOrThrow(canvasArg) {
} }
// src/draw/DrawTextField.ts // src/draw/DrawTextField.ts
var AnchorPosition; var AnchorPosition = /* @__PURE__ */ ((AnchorPosition2) => {
(function(AnchorPosition2) {
AnchorPosition2["TOP_LEFT"] = "TOP_LEFT"; AnchorPosition2["TOP_LEFT"] = "TOP_LEFT";
AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT"; AnchorPosition2["TOP_RIGHT"] = "TOP_RIGHT";
AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT"; AnchorPosition2["BOTTOM_LEFT"] = "BOTTOM_LEFT";
AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT"; AnchorPosition2["BOTTOM_RIGHT"] = "BOTTOM_RIGHT";
})(AnchorPosition || (AnchorPosition = {})); return AnchorPosition2;
})(AnchorPosition || {});
var DrawTextFieldOptions = class { var DrawTextFieldOptions = class {
constructor(options = {}) { constructor(options = {}) {
const { const {
@ -1091,7 +1097,7 @@ var DrawTextFieldOptions = class {
fontStyle, fontStyle,
padding padding
} = options; } = options;
this.anchorPosition = anchorPosition || AnchorPosition.TOP_LEFT; this.anchorPosition = anchorPosition || "TOP_LEFT" /* TOP_LEFT */;
this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)"; this.backgroundColor = backgroundColor || "rgba(0, 0, 0, 0.5)";
this.fontColor = fontColor || "rgba(255, 255, 255, 1)"; this.fontColor = fontColor || "rgba(255, 255, 255, 1)";
this.fontSize = fontSize || 14; this.fontSize = fontSize || 14;
@ -1115,8 +1121,8 @@ var DrawTextField = class {
} }
getUpperLeft(ctx, canvasDims) { getUpperLeft(ctx, canvasDims) {
const { anchorPosition } = this.options; const { anchorPosition } = this.options;
const isShiftLeft = anchorPosition === AnchorPosition.BOTTOM_RIGHT || anchorPosition === AnchorPosition.TOP_RIGHT; const isShiftLeft = anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */ || anchorPosition === "TOP_RIGHT" /* TOP_RIGHT */;
const isShiftTop = anchorPosition === AnchorPosition.BOTTOM_LEFT || anchorPosition === AnchorPosition.BOTTOM_RIGHT; const isShiftTop = anchorPosition === "BOTTOM_LEFT" /* BOTTOM_LEFT */ || anchorPosition === "BOTTOM_RIGHT" /* BOTTOM_RIGHT */;
const textFieldWidth = this.measureWidth(ctx); const textFieldWidth = this.measureWidth(ctx);
const textFieldHeight = this.measureHeight(); const textFieldHeight = this.measureHeight();
const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x; const x = isShiftLeft ? this.anchor.x - textFieldWidth : this.anchor.x;
@ -1167,7 +1173,7 @@ var DrawBoxOptions = class {
this.lineWidth = lineWidth || 2; this.lineWidth = lineWidth || 2;
this.label = label; this.label = label;
const defaultDrawLabelOptions = { const defaultDrawLabelOptions = {
anchorPosition: AnchorPosition.BOTTOM_LEFT, anchorPosition: "BOTTOM_LEFT" /* BOTTOM_LEFT */,
backgroundColor: this.boxColor backgroundColor: this.boxColor
}; };
this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions }); this.drawLabelOptions = new DrawTextFieldOptions({ ...defaultDrawLabelOptions, ...drawLabelOptions });
@ -1209,7 +1215,7 @@ function drawDetections(canvasArg, detections) {
} }
// src/faceExpressionNet/FaceExpressionNet.ts // src/faceExpressionNet/FaceExpressionNet.ts
var tf18 = __toModule(require_tfjs_esm()); var tf18 = __toESM(require_tfjs_esm());
// src/dom/isMediaLoaded.ts // src/dom/isMediaLoaded.ts
function isMediaLoaded(media) { function isMediaLoaded(media) {
@ -1296,7 +1302,7 @@ function createCanvasFromMedia(media, dims) {
} }
// src/dom/imageTensorToCanvas.ts // src/dom/imageTensorToCanvas.ts
var tf4 = __toModule(require_tfjs_esm()); var tf4 = __toESM(require_tfjs_esm());
async function imageTensorToCanvas(imgTensor, canvas) { async function imageTensorToCanvas(imgTensor, canvas) {
const targetCanvas = canvas || env.getEnv().createCanvasElement(); const targetCanvas = canvas || env.getEnv().createCanvasElement();
const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0); const [height, width, numChannels] = imgTensor.shape.slice(isTensor4D(imgTensor) ? 1 : 0);
@ -1313,7 +1319,7 @@ function isMediaElement(input) {
} }
// src/dom/NetInput.ts // src/dom/NetInput.ts
var tf5 = __toModule(require_tfjs_esm()); var tf5 = __toESM(require_tfjs_esm());
// src/dom/imageToSquare.ts // src/dom/imageToSquare.ts
function imageToSquare(input, inputSize, centerImage = false) { function imageToSquare(input, inputSize, centerImage = false) {
@ -1482,7 +1488,7 @@ async function extractFaces(input, detections) {
} }
// src/dom/extractFaceTensors.ts // src/dom/extractFaceTensors.ts
var tf6 = __toModule(require_tfjs_esm()); var tf6 = __toESM(require_tfjs_esm());
async function extractFaceTensors(imageTensor, detections) { async function extractFaceTensors(imageTensor, detections) {
if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) { if (!isTensor3D(imageTensor) && !isTensor4D(imageTensor)) {
throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D"); throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");
@ -1559,7 +1565,7 @@ async function fetchVideo(uri) {
} }
// src/dom/loadWeightMap.ts // src/dom/loadWeightMap.ts
var tf7 = __toModule(require_tfjs_esm()); var tf7 = __toESM(require_tfjs_esm());
// src/common/getModelUris.ts // src/common/getModelUris.ts
function getModelUris(uri, defaultModelName) { function getModelUris(uri, defaultModelName) {
@ -1604,10 +1610,10 @@ function matchDimensions(input, reference, useMediaDimensions = false) {
} }
// src/faceFeatureExtractor/FaceFeatureExtractor.ts // src/faceFeatureExtractor/FaceFeatureExtractor.ts
var tf15 = __toModule(require_tfjs_esm()); var tf15 = __toESM(require_tfjs_esm());
// src/NeuralNetwork.ts // src/NeuralNetwork.ts
var tf8 = __toModule(require_tfjs_esm()); var tf8 = __toESM(require_tfjs_esm());
var NeuralNetwork = class { var NeuralNetwork = class {
constructor(name) { constructor(name) {
this._params = void 0; this._params = void 0;
@ -1723,10 +1729,10 @@ var NeuralNetwork = class {
}; };
// src/faceFeatureExtractor/denseBlock.ts // src/faceFeatureExtractor/denseBlock.ts
var tf10 = __toModule(require_tfjs_esm()); var tf10 = __toESM(require_tfjs_esm());
// src/common/depthwiseSeparableConv.ts // src/common/depthwiseSeparableConv.ts
var tf9 = __toModule(require_tfjs_esm()); var tf9 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv(x, params, stride) { function depthwiseSeparableConv(x, params, stride) {
return tf9.tidy(() => { return tf9.tidy(() => {
let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same"); let out = tf9.separableConv2d(x, params.depthwise_filter, params.pointwise_filter, stride, "same");
@ -1758,7 +1764,7 @@ function denseBlock4(x, denseBlockParams, isFirstLayer = false, isScaleDown = tr
} }
// src/common/convLayer.ts // src/common/convLayer.ts
var tf11 = __toModule(require_tfjs_esm()); var tf11 = __toESM(require_tfjs_esm());
function convLayer(x, params, padding = "same", withRelu = false) { function convLayer(x, params, padding = "same", withRelu = false) {
return tf11.tidy(() => { return tf11.tidy(() => {
const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias); const out = tf11.add(tf11.conv2d(x, params.filters, [1, 1], padding), params.bias);
@ -1776,7 +1782,7 @@ function disposeUnusedWeightTensors(weightMap, paramMappings) {
} }
// src/common/extractConvParamsFactory.ts // src/common/extractConvParamsFactory.ts
var tf12 = __toModule(require_tfjs_esm()); var tf12 = __toESM(require_tfjs_esm());
function extractConvParamsFactory(extractWeights, paramMappings) { function extractConvParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, filterSize, mappedPrefix) => { return (channelsIn, channelsOut, filterSize, mappedPrefix) => {
const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]); const filters = tf12.tensor4d(extractWeights(channelsIn * channelsOut * filterSize * filterSize), [filterSize, filterSize, channelsIn, channelsOut]);
@ -1787,7 +1793,7 @@ function extractConvParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractFCParamsFactory.ts // src/common/extractFCParamsFactory.ts
var tf13 = __toModule(require_tfjs_esm()); var tf13 = __toESM(require_tfjs_esm());
function extractFCParamsFactory(extractWeights, paramMappings) { function extractFCParamsFactory(extractWeights, paramMappings) {
return (channelsIn, channelsOut, mappedPrefix) => { return (channelsIn, channelsOut, mappedPrefix) => {
const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]); const fc_weights = tf13.tensor2d(extractWeights(channelsIn * channelsOut), [channelsIn, channelsOut]);
@ -1801,7 +1807,7 @@ function extractFCParamsFactory(extractWeights, paramMappings) {
} }
// src/common/extractSeparableConvParamsFactory.ts // src/common/extractSeparableConvParamsFactory.ts
var tf14 = __toModule(require_tfjs_esm()); var tf14 = __toESM(require_tfjs_esm());
// src/common/types.ts // src/common/types.ts
var SeparableConvParams = class { var SeparableConvParams = class {
@ -2005,10 +2011,10 @@ var FaceFeatureExtractor = class extends NeuralNetwork {
}; };
// src/faceProcessor/FaceProcessor.ts // src/faceProcessor/FaceProcessor.ts
var tf17 = __toModule(require_tfjs_esm()); var tf17 = __toESM(require_tfjs_esm());
// src/common/fullyConnectedLayer.ts // src/common/fullyConnectedLayer.ts
var tf16 = __toModule(require_tfjs_esm()); var tf16 = __toESM(require_tfjs_esm());
function fullyConnectedLayer(x, params) { function fullyConnectedLayer(x, params) {
return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias)); return tf16.tidy(() => tf16.add(tf16.matMul(x, params.weights), params.bias));
} }
@ -2290,13 +2296,13 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
} }
// package.json // package.json
var version = "1.6.3"; var version = "1.6.4";
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var tf20 = __toModule(require_tfjs_esm()); var tf20 = __toESM(require_tfjs_esm());
// src/xception/TinyXception.ts // src/xception/TinyXception.ts
var tf19 = __toModule(require_tfjs_esm()); var tf19 = __toESM(require_tfjs_esm());
// src/xception/extractParams.ts // src/xception/extractParams.ts
function extractorsFactory2(extractWeights, paramMappings) { function extractorsFactory2(extractWeights, paramMappings) {
@ -2511,11 +2517,11 @@ function extractParamsFromWeightMap4(weightMap) {
} }
// src/ageGenderNet/types.ts // src/ageGenderNet/types.ts
var Gender; var Gender = /* @__PURE__ */ ((Gender2) => {
(function(Gender2) {
Gender2["FEMALE"] = "female"; Gender2["FEMALE"] = "female";
Gender2["MALE"] = "male"; Gender2["MALE"] = "male";
})(Gender || (Gender = {})); return Gender2;
})(Gender || {});
// src/ageGenderNet/AgeGenderNet.ts // src/ageGenderNet/AgeGenderNet.ts
var AgeGenderNet = class extends NeuralNetwork { var AgeGenderNet = class extends NeuralNetwork {
@ -2561,7 +2567,7 @@ var AgeGenderNet = class extends NeuralNetwork {
const age = ageTensor.dataSync()[0]; const age = ageTensor.dataSync()[0];
const probMale = genderTensor.dataSync()[0]; const probMale = genderTensor.dataSync()[0];
const isMale = probMale > 0.5; const isMale = probMale > 0.5;
const gender = isMale ? Gender.MALE : Gender.FEMALE; const gender = isMale ? "male" /* MALE */ : "female" /* FEMALE */;
const genderProbability = isMale ? probMale : 1 - probMale; const genderProbability = isMale ? probMale : 1 - probMale;
ageTensor.dispose(); ageTensor.dispose();
genderTensor.dispose(); genderTensor.dispose();
@ -2601,7 +2607,7 @@ var AgeGenderNet = class extends NeuralNetwork {
}; };
// src/faceLandmarkNet/FaceLandmark68NetBase.ts // src/faceLandmarkNet/FaceLandmark68NetBase.ts
var tf21 = __toModule(require_tfjs_esm()); var tf21 = __toESM(require_tfjs_esm());
var FaceLandmark68NetBase = class extends FaceProcessor { var FaceLandmark68NetBase = class extends FaceProcessor {
postProcess(output, inputSize, originalDimensions) { postProcess(output, inputSize, originalDimensions) {
const inputDimensions = originalDimensions.map(({ width, height }) => { const inputDimensions = originalDimensions.map(({ width, height }) => {
@ -2667,7 +2673,7 @@ var FaceLandmark68Net = class extends FaceLandmark68NetBase {
}; };
// src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts // src/faceFeatureExtractor/TinyFaceFeatureExtractor.ts
var tf22 = __toModule(require_tfjs_esm()); var tf22 = __toESM(require_tfjs_esm());
// src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts // src/faceFeatureExtractor/extractParamsFromWeightMapTiny.ts
function extractParamsFromWeightMapTiny(weightMap) { function extractParamsFromWeightMapTiny(weightMap) {
@ -2759,13 +2765,13 @@ var FaceLandmarkNet = class extends FaceLandmark68Net {
}; };
// src/faceRecognitionNet/FaceRecognitionNet.ts // src/faceRecognitionNet/FaceRecognitionNet.ts
var tf27 = __toModule(require_tfjs_esm()); var tf27 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/convLayer.ts // src/faceRecognitionNet/convLayer.ts
var tf24 = __toModule(require_tfjs_esm()); var tf24 = __toESM(require_tfjs_esm());
// src/faceRecognitionNet/scaleLayer.ts // src/faceRecognitionNet/scaleLayer.ts
var tf23 = __toModule(require_tfjs_esm()); var tf23 = __toESM(require_tfjs_esm());
function scale(x, params) { function scale(x, params) {
return tf23.add(tf23.mul(x, params.weights), params.biases); return tf23.add(tf23.mul(x, params.weights), params.biases);
} }
@ -2789,7 +2795,7 @@ function convDown(x, params) {
} }
// src/faceRecognitionNet/extractParams.ts // src/faceRecognitionNet/extractParams.ts
var tf25 = __toModule(require_tfjs_esm()); var tf25 = __toESM(require_tfjs_esm());
function extractorsFactory3(extractWeights, paramMappings) { function extractorsFactory3(extractWeights, paramMappings) {
function extractFilterValues(numFilterValues, numFilters, filterSize) { function extractFilterValues(numFilterValues, numFilters, filterSize) {
const weights = extractWeights(numFilterValues); const weights = extractWeights(numFilterValues);
@ -2954,7 +2960,7 @@ function extractParamsFromWeightMap5(weightMap) {
} }
// src/faceRecognitionNet/residualLayer.ts // src/faceRecognitionNet/residualLayer.ts
var tf26 = __toModule(require_tfjs_esm()); var tf26 = __toESM(require_tfjs_esm());
function residual(x, params) { function residual(x, params) {
let out = conv2(x, params.conv1); let out = conv2(x, params.conv1);
out = convNoRelu(out, params.conv2); out = convNoRelu(out, params.conv2);
@ -3068,7 +3074,7 @@ function extendWithAge(sourceObj, age) {
// src/factories/WithGender.ts // src/factories/WithGender.ts
function isWithGender(obj) { function isWithGender(obj) {
return (obj.gender === Gender.MALE || obj.gender === Gender.FEMALE) && isValidProbablitiy(obj.genderProbability); return (obj.gender === "male" /* MALE */ || obj.gender === "female" /* FEMALE */) && isValidProbablitiy(obj.genderProbability);
} }
function extendWithGender(sourceObj, gender, genderProbability) { function extendWithGender(sourceObj, gender, genderProbability) {
const extension = { gender, genderProbability }; const extension = { gender, genderProbability };
@ -3076,10 +3082,10 @@ function extendWithGender(sourceObj, gender, genderProbability) {
} }
// src/ssdMobilenetv1/SsdMobilenetv1.ts // src/ssdMobilenetv1/SsdMobilenetv1.ts
var tf34 = __toModule(require_tfjs_esm()); var tf34 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/extractParams.ts // src/ssdMobilenetv1/extractParams.ts
var tf28 = __toModule(require_tfjs_esm()); var tf28 = __toESM(require_tfjs_esm());
function extractorsFactory5(extractWeights, paramMappings) { function extractorsFactory5(extractWeights, paramMappings) {
function extractDepthwiseConvParams(numChannels, mappedPrefix) { function extractDepthwiseConvParams(numChannels, mappedPrefix) {
const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]); const filters = tf28.tensor4d(extractWeights(3 * 3 * numChannels), [3, 3, numChannels, 1]);
@ -3349,10 +3355,10 @@ function extractParamsFromWeightMap6(weightMap) {
} }
// src/ssdMobilenetv1/mobileNetV1.ts // src/ssdMobilenetv1/mobileNetV1.ts
var tf30 = __toModule(require_tfjs_esm()); var tf30 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/pointwiseConvLayer.ts // src/ssdMobilenetv1/pointwiseConvLayer.ts
var tf29 = __toModule(require_tfjs_esm()); var tf29 = __toESM(require_tfjs_esm());
function pointwiseConvLayer(x, params, strides) { function pointwiseConvLayer(x, params, strides) {
return tf29.tidy(() => { return tf29.tidy(() => {
let out = tf29.conv2d(x, params.filters, strides, "same"); let out = tf29.conv2d(x, params.filters, strides, "same");
@ -3458,7 +3464,7 @@ function nonMaxSuppression2(boxes, scores, maxOutputSize, iouThreshold, scoreThr
} }
// src/ssdMobilenetv1/outputLayer.ts // src/ssdMobilenetv1/outputLayer.ts
var tf31 = __toModule(require_tfjs_esm()); var tf31 = __toESM(require_tfjs_esm());
function getCenterCoordinatesAndSizesLayer(x) { function getCenterCoordinatesAndSizesLayer(x) {
const vec = tf31.unstack(tf31.transpose(x, [1, 0])); const vec = tf31.unstack(tf31.transpose(x, [1, 0]));
const sizes = [ const sizes = [
@ -3500,10 +3506,10 @@ function outputLayer(boxPredictions, classPredictions, params) {
} }
// src/ssdMobilenetv1/predictionLayer.ts // src/ssdMobilenetv1/predictionLayer.ts
var tf33 = __toModule(require_tfjs_esm()); var tf33 = __toESM(require_tfjs_esm());
// src/ssdMobilenetv1/boxPredictionLayer.ts // src/ssdMobilenetv1/boxPredictionLayer.ts
var tf32 = __toModule(require_tfjs_esm()); var tf32 = __toESM(require_tfjs_esm());
function boxPredictionLayer(x, params) { function boxPredictionLayer(x, params) {
return tf32.tidy(() => { return tf32.tidy(() => {
const batchSize = x.shape[0]; const batchSize = x.shape[0];
@ -3671,7 +3677,7 @@ var DEFAULT_MODEL_NAME = "tiny_yolov2_model";
var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model"; var DEFAULT_MODEL_NAME_SEPARABLE_CONV = "tiny_yolov2_separable_conv_model";
// src/tinyYolov2/TinyYolov2Base.ts // src/tinyYolov2/TinyYolov2Base.ts
var tf39 = __toModule(require_tfjs_esm()); var tf39 = __toESM(require_tfjs_esm());
// src/tinyYolov2/config.ts // src/tinyYolov2/config.ts
var isNumber = (arg) => typeof arg === "number"; var isNumber = (arg) => typeof arg === "number";
@ -3697,10 +3703,10 @@ function validateConfig(config) {
} }
// src/tinyYolov2/convWithBatchNorm.ts // src/tinyYolov2/convWithBatchNorm.ts
var tf36 = __toModule(require_tfjs_esm()); var tf36 = __toESM(require_tfjs_esm());
// src/tinyYolov2/leaky.ts // src/tinyYolov2/leaky.ts
var tf35 = __toModule(require_tfjs_esm()); var tf35 = __toESM(require_tfjs_esm());
function leaky(x) { function leaky(x) {
return tf35.tidy(() => { return tf35.tidy(() => {
const min = tf35.mul(x, tf35.scalar(0.10000000149011612)); const min = tf35.mul(x, tf35.scalar(0.10000000149011612));
@ -3721,7 +3727,7 @@ function convWithBatchNorm(x, params) {
} }
// src/tinyYolov2/depthwiseSeparableConv.ts // src/tinyYolov2/depthwiseSeparableConv.ts
var tf37 = __toModule(require_tfjs_esm()); var tf37 = __toESM(require_tfjs_esm());
function depthwiseSeparableConv2(x, params) { function depthwiseSeparableConv2(x, params) {
return tf37.tidy(() => { return tf37.tidy(() => {
let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]); let out = tf37.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
@ -3732,7 +3738,7 @@ function depthwiseSeparableConv2(x, params) {
} }
// src/tinyYolov2/extractParams.ts // src/tinyYolov2/extractParams.ts
var tf38 = __toModule(require_tfjs_esm()); var tf38 = __toESM(require_tfjs_esm());
function extractorsFactory7(extractWeights, paramMappings) { function extractorsFactory7(extractWeights, paramMappings) {
const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings); const extractConvParams = extractConvParamsFactory(extractWeights, paramMappings);
function extractBatchNormParams(size, mappedPrefix) { function extractBatchNormParams(size, mappedPrefix) {
@ -4118,10 +4124,10 @@ var ComposableTask = class {
}; };
// src/globalApi/DetectFaceLandmarksTasks.ts // src/globalApi/DetectFaceLandmarksTasks.ts
var tf41 = __toModule(require_tfjs_esm()); var tf41 = __toESM(require_tfjs_esm());
// src/globalApi/extractFacesAndComputeResults.ts // src/globalApi/extractFacesAndComputeResults.ts
var tf40 = __toModule(require_tfjs_esm()); var tf40 = __toESM(require_tfjs_esm());
async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) { async function extractAllFacesAndComputeResults(parentResults, input, computeResults, extractedFaces, getRectForAlignment = ({ alignedRect }) => alignedRect) {
const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection); const faceBoxes = parentResults.map((parentResult) => isWithFaceLandmarks(parentResult) ? getRectForAlignment(parentResult) : parentResult.detection);
const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes)); const faces = extractedFaces || (input instanceof tf40.Tensor ? await extractFaceTensors(input, faceBoxes) : await extractFaces(input, faceBoxes));
@ -4564,6 +4570,7 @@ function resizeResults(results, dimensions) {
// src/index.ts // src/index.ts
var version2 = version; var version2 = version;
module.exports = __toCommonJS(src_exports);
// Annotate the CommonJS export names for ESM import in node: // Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = { 0 && (module.exports = {
AgeGenderNet, AgeGenderNet,

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@ -4,29 +4,29 @@
author: <https://github.com/vladmandic>' author: <https://github.com/vladmandic>'
*/ */
// node_modules/.pnpm/@tensorflow+tfjs@3.12.0_seedrandom@3.0.5/node_modules/@tensorflow/tfjs/package.json // node_modules/.pnpm/@tensorflow+tfjs@3.13.0_seedrandom@3.0.5/node_modules/@tensorflow/tfjs/package.json
var version = "3.12.0"; var version = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-core/package.json // node_modules/.pnpm/@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-core/package.json
var version2 = "3.12.0"; var version2 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-data@3.12.0_23101d5e73420f02a83504fb6376a2a9/node_modules/@tensorflow/tfjs-data/package.json // node_modules/.pnpm/@tensorflow+tfjs-data@3.13.0_dadde02861a8b00ace7633d17571891e/node_modules/@tensorflow/tfjs-data/package.json
var version3 = "3.12.0"; var version3 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-layers@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-layers/package.json // node_modules/.pnpm/@tensorflow+tfjs-layers@3.13.0_@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-layers/package.json
var version4 = "3.12.0"; var version4 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-converter@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-converter/package.json // node_modules/.pnpm/@tensorflow+tfjs-converter@3.13.0_@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-converter/package.json
var version5 = "3.12.0"; var version5 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json // node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@3.13.0_@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json
var version6 = "3.12.0"; var version6 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json // node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@3.13.0_@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json
var version7 = "3.12.0"; var version7 = "3.13.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json // node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@3.13.0_@tensorflow+tfjs-core@3.13.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json
var version8 = "3.12.0"; var version8 = "3.13.0";
// src/tfjs/tf-version.ts // src/tfjs/tf-version.ts
var version9 = { var version9 = {

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@ -546,6 +546,12 @@ export declare function createTinyYolov2(weights: Float32Array, withSeparableCon
*/ */
declare type DataId = object; declare type DataId = object;
declare type DataToGPUOptions = DataToGPUWebGLOption;
declare interface DataToGPUWebGLOption {
customTexShape?: [number, number];
}
/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */ /** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */
declare type DataType = keyof DataTypeMap; declare type DataType = keyof DataTypeMap;
@ -1222,6 +1228,12 @@ declare function getQueryParams(queryString: string): {
[key: string]: string; [key: string]: string;
}; };
declare interface GPUData {
tensorRef: Tensor;
texture?: WebGLTexture;
texShape?: [number, number];
}
export declare interface IBoundingBox { export declare interface IBoundingBox {
left: number; left: number;
top: number; top: number;
@ -2371,6 +2383,31 @@ declare class Tensor<R extends Rank = Rank> {
* @doc {heading: 'Tensors', subheading: 'Classes'} * @doc {heading: 'Tensors', subheading: 'Classes'}
*/ */
data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>; data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;
/**
* Copy the tensor's data to a new GPU resource. Comparing to the `dataSync()`
* and `data()`, this method prevents data from being downloaded to CPU.
*
* For WebGL backend, the data will be stored on a densely packed texture.
* This means that the texture will use the RGBA channels to store value.
*
* @param options:
* For WebGL,
* - customTexShape: Optional. If set, will use the user defined
* texture shape to create the texture.
*
* @returns For WebGL backend, a GPUData contains the new texture and
* its information.
* {
* tensorRef: The tensor that is associated with this texture,
* texture: WebGLTexture,
* texShape: [number, number] // [height, width]
* }
* Remember to dispose the GPUData after it is used by
* `res.tensorRef.dispose()`.
*
* @doc {heading: 'Tensors', subheading: 'Classes'}
*/
dataToGPU(options?: DataToGPUOptions): GPUData;
/** /**
* Synchronously downloads the values from the `tf.Tensor`. This blocks the * Synchronously downloads the values from the `tf.Tensor`. This blocks the
* UI thread until the values are ready, which can cause performance issues. * UI thread until the values are ready, which can cause performance issues.