diff --git a/.gitattributes b/.gitattributes
index 90b1149..e0f545a 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1 +1,18 @@
-bundle/models/* filter=lfs diff=lfs merge=lfs -binary
+bundle/**/* filter=lfs diff=lfs merge=binary
+**/*.onnx filter=lfs diff=lfs merge=binary
+**/*.ort filter=lfs diff=lfs merge=binary
+**/*.{jpeg,jpg} filter=lfs diff=lfs merge=binary
+**/*.png filter=lfs diff=lfs merge=binary
+**/*.webp filter=lfs diff=lfs merge=binary
+**/*.avif filter=lfs diff=lfs merge=binary
+**/*.heic filter=lfs diff=lfs merge=binary
+**/*.heif filter=lfs diff=lfs merge=binary
+**/*.pdf filter=lfs diff=lfs merge=binary
+**/*.psd filter=lfs diff=lfs merge=binary
+**/*.mp4 filter=lfs diff=lfs merge=binary
+**/*.mov filter=lfs diff=lfs merge=binary
+**/*.m4v filter=lfs diff=lfs merge=binary
+**/*.mp3 filter=lfs diff=lfs merge=binary
+**/*.wav filter=lfs diff=lfs merge=binary
+**/*.aif filter=lfs diff=lfs merge=binary
+**/*.aiff filter=lfs diff=lfs merge=binary
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml.deactivated
similarity index 100%
rename from .github/workflows/ci.yml
rename to .github/workflows/ci.yml.deactivated
diff --git a/.gitignore b/.gitignore
index 0da7042..2686ec2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,4 +2,5 @@ node_modules
dist
tmp
.DS_Store
-.vscode
\ No newline at end of file
+.vscode
+.parcel-cache
\ No newline at end of file
diff --git a/.prettierignore b/.prettierignore
index e413b82..b9662c8 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -1,4 +1,7 @@
-node_modules
-dist
-tmp
-build
\ No newline at end of file
+**/node_modules
+**/dist
+**/tmp
+build
+**/package-lock.json
+.vscode/
+**/public/
\ No newline at end of file
diff --git a/README.md b/README.md
index ede3687..feac8e6 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,15 @@
# Background Removal in the Browser
- 
+
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns.
Explore an [interactive demo](https://img.ly/showcases/cesdk/web/background-removal/web?utm_source=github&utm_medium=project&utm_campaign=bg-removal).
## News
-
+- **`September 12th, 2023`:** We released the code of Background Removal for NodeJs (see `packages/node`).
+- **`June 28th, 2023`:** We released the code of Background Removal for Web (see `packages/web`).
- **`June 28th, 2023`:** We released the code of Background Removal JS.
## Overview
@@ -25,10 +26,6 @@ The key features of `@imgly/background-removal` are:
The Neural Network ([ONNX model](https://onnx.ai/)) and WASM files used by `@imgly/background-removal` are hosted on [UNPKG](https://www.unpkg.com/), making it readily available for download to all users of the library. See the section Custom Asset Serving if you want to host data on your own servers.
-
-
-
-
## Installation
diff --git a/bundle/models/17b7466d93bb60b0e88affa2b0e8b3eee309c7de183d394ce4b956339ebd95e6.onnx b/bundle/models/large
similarity index 100%
rename from bundle/models/17b7466d93bb60b0e88affa2b0e8b3eee309c7de183d394ce4b956339ebd95e6.onnx
rename to bundle/models/large
diff --git a/bundle/models/b6e8497ba978a6f5fbb647e419d2696cd80df5a23cb6a8ea532021911bd76acb.onnx b/bundle/models/medium
similarity index 100%
rename from bundle/models/b6e8497ba978a6f5fbb647e419d2696cd80df5a23cb6a8ea532021911bd76acb.onnx
rename to bundle/models/medium
diff --git a/bundle/models/7001d60734fdc112dd9c062635fb59cd401fb82a9d4213134bce4dbd655c803a.onnx b/bundle/models/small
similarity index 100%
rename from bundle/models/7001d60734fdc112dd9c062635fb59cd401fb82a9d4213134bce4dbd655c803a.onnx
rename to bundle/models/small
diff --git a/examples/vite-project/.vite/deps_temp_330b8fd7/package.json b/examples/vite-project/.vite/deps_temp_330b8fd7/package.json
deleted file mode 100644
index 3dbc1ca..0000000
--- a/examples/vite-project/.vite/deps_temp_330b8fd7/package.json
+++ /dev/null
@@ -1,3 +0,0 @@
-{
- "type": "module"
-}
diff --git a/package-lock.json b/package-lock.json
index 5ae33ac..1c8314d 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,468 +1,120 @@
{
- "name": "@imgly/background-removal",
- "version": "1.0.3",
+ "name": "background-removal-js",
+ "version": "1.1.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
- "name": "@imgly/background-removal",
- "version": "1.0.3",
- "license": "SEE LICENSE IN LICENSE.md",
- "devDependencies": {
- "@types/lodash": "^4.14.195",
- "@types/node": "^20.3.1",
- "assert": "^2.0.0",
- "lodash": "^4.17.21",
- "onnxruntime-web": "^1.15.1",
- "ts-loader": "^9.4.3",
- "tslib": "^2.5.3",
- "typescript": "^5.1.3",
- "util": "^0.12.5",
- "wasm-feature-detect": "^1.5.1",
- "webpack": "^5.85.1",
- "webpack-cli": "^5.1.4",
- "zod": "^3.21.4"
- }
- },
- "node_modules/@discoveryjs/json-ext": {
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- "dev": true,
- "engines": {
- "node": ">=10.0.0"
- }
- },
- "node_modules/@jridgewell/resolve-uri": {
- "version": "3.1.0",
- "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.0.tgz",
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- "dev": true,
- "engines": {
- "node": ">=6.0.0"
- }
- },
- "node_modules/@jridgewell/source-map": {
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- "resolved": "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.4.tgz",
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}
diff --git a/package.json b/package.json
index c383783..09309f6 100644
--- a/package.json
+++ b/package.json
@@ -1,60 +1,11 @@
{
- "name": "@imgly/background-removal",
- "version": "1.0.6",
- "description": "Background Removal in the Browser",
- "keywords": [
- "background-removal",
- "client-side",
- "data-privacy",
- "image-segmentation",
- "image-matting",
- "onnx"
- ],
- "repository": {
- "type": "git",
- "url": "https://github.com/imgly/background-removal-js.git"
- },
- "license": "SEE LICENSE IN LICENSE.md",
- "author": {
- "name": "IMG.LY GmbH",
- "email": "support@img.ly",
- "url": "https://img.ly"
- },
- "bugs": {
- "email": "support@img.ly"
- },
- "main": "./dist/browser.js",
- "module": "./dist/browser.mjs",
- "browser": "./dist/browser.js",
- "homepage": "https://img.ly/showcases/cesdk/web/background-removal/web",
- "types": "./dist/browser.d.ts",
- "files": [
- "LICENSE.md",
- "README.md",
- "dist/"
- ],
+ "version": "1.1.0",
"scripts": {
- "start": "npm run clean; npm run watch",
- "clean": "npx rimraf dist",
- "test": "true",
- "build": "npm run clean; npx webpack --mode production",
- "watch": "npm run clean; npx webpack --watch --mode development",
- "publish:public": "npm run build && npm publish --access public",
- "lint": "npx prettier --write ."
+ "lint": "npx prettier --write --ignore-unknown .",
+ "version": "node ./scripts/package-version.mjs"
},
"devDependencies": {
- "@types/lodash": "^4.14.195",
- "@types/node": "^20.3.1",
- "assert": "^2.0.0",
- "lodash": "^4.17.21",
- "onnxruntime-web": "^1.15.1",
- "ts-loader": "^9.4.3",
- "tslib": "^2.5.3",
- "typescript": "^5.1.3",
- "util": "^0.12.5",
- "wasm-feature-detect": "^1.5.1",
- "webpack": "^5.85.1",
- "webpack-cli": "^5.1.4",
- "zod": "^3.21.4"
+ "glob": "^10.3.3",
+ "onchange": "^7.1.0"
}
}
diff --git a/packages/node-e2e/fixtures/images/img2img.sh b/packages/node-e2e/fixtures/images/img2img.sh
new file mode 100644
index 0000000..bf325cc
--- /dev/null
+++ b/packages/node-e2e/fixtures/images/img2img.sh
@@ -0,0 +1,20 @@
+filename="photo-1686002359940-6a51b0d64f68.jpeg"
+basename="${filename%.*}"
+
+cp "$filename" "$filename".orig
+magick "$filename" "$basename".png
+magick "$filename" "$basename".webp
+magick "$filename" "$basename".jpg
+magick "$filename" "$basename".avif
+magick "$filename" "$basename".heif
+
+# Raw RGB
+magick "$filename" -depth 8 "$basename".rgb
+magick "$filename" -depth 8 "$basename".cmyk
+
+# rgb to tensor
+
+magick "$filename" "$basename".pdf
+magick "$filename" "$basename".psd
+
+
diff --git a/packages/node-e2e/fixtures/images/photo-1686002359940-6a51b0d64f68.jpeg b/packages/node-e2e/fixtures/images/photo-1686002359940-6a51b0d64f68.jpeg
new file mode 100644
index 0000000..2425539
Binary files /dev/null and b/packages/node-e2e/fixtures/images/photo-1686002359940-6a51b0d64f68.jpeg differ
diff --git a/packages/node-e2e/package-lock.json b/packages/node-e2e/package-lock.json
new file mode 100644
index 0000000..6068e8a
--- /dev/null
+++ b/packages/node-e2e/package-lock.json
@@ -0,0 +1,3523 @@
+{
+ "name": "e2e",
+ "version": "1.1.0-alpha",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "e2e",
+ "version": "1.1.0-alpha",
+ "devDependencies": {
+ "@imgly/background-removal-node": "file:../node",
+ "jest": "^29.6.2"
+ }
+ },
+ "../node": {
+ "version": "1.1.0-alpha",
+ "dev": true,
+ "license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "onnxruntime-node": "^1.15.1",
+ "sharp": "^0.32.4",
+ "zod": "^3.21.4"
+ },
+ "devDependencies": {
+ "@parcel/packager-ts": "^2.9.3",
+ "@parcel/resolver-default": "^2.9.3",
+ "@parcel/transformer-typescript-types": "^2.9.3",
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "assert": "^2.0.0",
+ "os-browserify": "^0.3.0",
+ "parcel": "^2.9.3",
+ "path-browserify": "^1.0.1",
+ "process": "^0.11.10",
+ "stream-browserify": "^3.0.0",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4"
+ }
+ },
+ "node_modules/@ampproject/remapping": {
+ "version": "2.2.1",
+ "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
+ "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+ "dev": true,
+ "dependencies": {
+ "@jridgewell/gen-mapping": "^0.3.0",
+ "@jridgewell/trace-mapping": "^0.3.9"
+ },
+ "engines": {
+ "node": ">=6.0.0"
+ }
+ },
+ "node_modules/@babel/code-frame": {
+ "version": "7.22.5",
+ "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.5.tgz",
+ "integrity": "sha512-Xmwn266vad+6DAqEB2A6V/CcZVp62BbwVmcOJc2RPuwih1kw02TjQvWVWlcKGbBPd+8/0V5DEkOcizRGYsspYQ==",
+ "dev": true,
+ "dependencies": {
+ "@babel/highlight": "^7.22.5"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/compat-data": {
+ "version": "7.22.9",
+ "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.22.9.tgz",
+ "integrity": "sha512-5UamI7xkUcJ3i9qVDS+KFDEK8/7oJ55/sJMB1Ge7IEapr7KfdfV/HErR+koZwOfd+SgtFKOKRhRakdg++DcJpQ==",
+ "dev": true,
+ "engines": {
+ "node": ">=6.9.0"
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diff --git a/packages/node-e2e/package.json b/packages/node-e2e/package.json
new file mode 100644
index 0000000..087c3f5
--- /dev/null
+++ b/packages/node-e2e/package.json
@@ -0,0 +1,10 @@
+{
+ "name": "e2e",
+ "private": true,
+ "scripts": {},
+ "devDependencies": {
+ "@imgly/background-removal-node": "file:../node",
+ "jest": "^29.6.2"
+ },
+ "version": "1.1.0"
+}
diff --git a/packages/node-e2e/src/example.test.js b/packages/node-e2e/src/example.test.js
new file mode 100644
index 0000000..ddc3b01
--- /dev/null
+++ b/packages/node-e2e/src/example.test.js
@@ -0,0 +1,9 @@
+// const pkg = require('@imgly/background-removal-node');
+// const removeBackground = pkg.default;
+
+// Test case to ensure the system doesn't crash with valid inputs
+// test('removeBackground should not crash with valid inputs', async () => {
+// const image = 'https://images.unsplash.com/photo-1686002359940-6a51b0d64f68?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&auto=format&fit=crop&w=1024&q=80';
+// const result = await removeBackground(image, { debug: true })
+// await expect(result).resolves.toBeInstanceOf(Blob);
+// });
diff --git a/packages/node-examples/files/photo-1686002359940-6a51b0d64f68.jpeg b/packages/node-examples/files/photo-1686002359940-6a51b0d64f68.jpeg
new file mode 100644
index 0000000..2425539
Binary files /dev/null and b/packages/node-examples/files/photo-1686002359940-6a51b0d64f68.jpeg differ
diff --git a/packages/node-examples/package-lock.json b/packages/node-examples/package-lock.json
new file mode 100644
index 0000000..5e29194
--- /dev/null
+++ b/packages/node-examples/package-lock.json
@@ -0,0 +1,56 @@
+{
+ "name": "examples-node-cli",
+ "version": "1.1.0-alpha",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "examples-node-cli",
+ "version": "1.1.0-alpha",
+ "dependencies": {
+ "@imgly/background-removal-node": "file:../node"
+ }
+ },
+ "../..": {
+ "version": "1.1.0-alpha",
+ "devDependencies": {
+ "glob": "^10.3.3",
+ "onchange": "^7.1.0"
+ }
+ },
+ "../node": {
+ "version": "1.1.0-alpha",
+ "license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "onnxruntime-node": "^1.15.1",
+ "sharp": "^0.32.4",
+ "zod": "^3.21.4"
+ },
+ "devDependencies": {
+ "@parcel/packager-ts": "^2.9.3",
+ "@parcel/resolver-default": "^2.9.3",
+ "@parcel/transformer-typescript-types": "^2.9.3",
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "assert": "^2.0.0",
+ "os-browserify": "^0.3.0",
+ "parcel": "^2.9.3",
+ "path-browserify": "^1.0.1",
+ "process": "^0.11.10",
+ "stream-browserify": "^3.0.0",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4"
+ }
+ },
+ "node_modules/@imgly/background-removal-node": {
+ "resolved": "../node",
+ "link": true
+ }
+ }
+}
diff --git a/packages/node-examples/package.json b/packages/node-examples/package.json
new file mode 100644
index 0000000..aab4e20
--- /dev/null
+++ b/packages/node-examples/package.json
@@ -0,0 +1,12 @@
+{
+ "name": "examples-node-cli",
+ "private": true,
+ "main": "index.mjs",
+ "scripts": {
+ "start": "node src/example_001.cjs"
+ },
+ "dependencies": {
+ "@imgly/background-removal-node": "file:../node"
+ },
+ "version": "1.1.0"
+}
diff --git a/packages/node-examples/src/example_001.cjs b/packages/node-examples/src/example_001.cjs
new file mode 100644
index 0000000..8498cfd
--- /dev/null
+++ b/packages/node-examples/src/example_001.cjs
@@ -0,0 +1,24 @@
+const { removeBackground } = require('@imgly/background-removal-node');
+const fs = require('fs');
+
+const images = [
+ 'files/photo-1686002359940-6a51b0d64f68.jpeg',
+ 'https://images.unsplash.com/photo-1686002359940-6a51b0d64f68?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&auto=format&fit=crop&w=1024&q=80',
+ 'https://images.unsplash.com/photo-1590523278191-995cbcda646b?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEyMDd9'
+];
+
+async function run() {
+ const randomImage = images[Math.floor(Math.random() * images.length)];
+ console.log('Random image: ' + randomImage);
+ const blob = await removeBackground(randomImage, { debug: false });
+ const buffer = await blob.arrayBuffer();
+ try {
+ await fs.promises.mkdir('tmp', { recursive: true });
+ await fs.promises.writeFile('tmp/output.png', Buffer.from(buffer));
+ console.log('Image saved to tmp/output.png');
+ } catch (error) {
+ console.error(error);
+ }
+}
+
+run();
diff --git a/packages/node-examples/src/example_001.mjs b/packages/node-examples/src/example_001.mjs
new file mode 100644
index 0000000..e86d59e
--- /dev/null
+++ b/packages/node-examples/src/example_001.mjs
@@ -0,0 +1,24 @@
+import { removeBackground } from '@imgly/background-removal-node';
+import fs from 'fs';
+
+const images = [
+ 'files/photo-1686002359940-6a51b0d64f68.jpeg',
+ 'https://images.unsplash.com/photo-1686002359940-6a51b0d64f68?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&auto=format&fit=crop&w=1024&q=80',
+ 'https://images.unsplash.com/photo-1590523278191-995cbcda646b?ixlib=rb-1.2.1&q=80&fm=jpg&crop=entropy&cs=tinysrgb&w=1080&fit=max&ixid=eyJhcHBfaWQiOjEyMDd9'
+];
+
+async function run() {
+ const randomImage = images[Math.floor(Math.random() * images.length)];
+ console.log('Random image: ' + randomImage);
+ const blob = await removeBackground(randomImage, { debug: false });
+ const buffer = await blob.arrayBuffer();
+ try {
+ await fs.promises.mkdir('tmp', { recursive: true });
+ await fs.promises.writeFile('tmp/output.png', Buffer.from(buffer));
+ console.log('Image saved to tmp/output.png');
+ } catch (error) {
+ console.error(error);
+ }
+}
+
+run();
diff --git a/packages/node/.resources.mjs b/packages/node/.resources.mjs
new file mode 100644
index 0000000..fc706a8
--- /dev/null
+++ b/packages/node/.resources.mjs
@@ -0,0 +1,12 @@
+export default [
+ {
+ path: '/models/',
+ source: '../../bundle/models/small',
+ mime: 'application/octet-steam'
+ },
+ {
+ path: '/models/',
+ source: '../../bundle/models/medium',
+ mime: 'application/octet-steam'
+ }
+];
diff --git a/packages/node/README.md b/packages/node/README.md
new file mode 100644
index 0000000..909f508
--- /dev/null
+++ b/packages/node/README.md
@@ -0,0 +1,149 @@
+# Background Removal in NodeJs
+
+
+
+
+
+
+Remove backgrounds from images in NodeJs environment with ease and no additional costs or privacy concerns.
+Explore an [interactive demo](https://img.ly/showcases/cesdk/web/background-removal/web?utm_source=github&utm_medium=project&utm_campaign=bg-removal).
+
+## News
+
+- **`September 12th, 2023`:** We released the code of Background Removal NodeJS.
+
+## Overview
+
+`@imgly/background-removal-node` is a powerful npm package that allows developers to seamlessly remove the background from images in NodeJs. With its unique features and capabilities, this package offers an innovative and cost-effective solution for background removal tasks without compromising data privacy.
+
+The key features of `@imgly/background-removal-node` are:
+
+- **Seamless Integration with IMG.LY's CE.SDK**: `@imgly/background-removal` provides seamless integration with [IMG.LY's CE.SDK](https://img.ly/products/creative-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal), allowing developers to easily incorporate powerful in-browser image matting and background removal capabilities into their projects.
+
+The Neural Network ([ONNX model](https://onnx.ai/)) are hosted on [UNPKG](https://www.unpkg.com/), making it readily available for download to all users of the library. See the section Custom Asset Serving if you want to host data on your own servers.
+
+## Installation
+
+You can install `@imgly/background-removal-node` via npm or yarn. Use the following commands to install the package:
+
+### NPM
+
+```shell
+npm install @imgly/background-removal-node
+```
+
+## Usage
+
+```typescript
+import { removeBackground } from "@imgly/background-removal";
+// const {removeBackground} = require("@imgly/background-removal");
+
+let image_src: ImageData | ArrayBuffer | Uint8Array | Blob | URL | string = ...;
+
+removeBackground(image_src).then((blob: Blob) => {
+ // The result is a blob encoded as PNG. It can be converted to an URL to be used as HTMLImage.src
+})
+```
+
+Note: On the first run the wasm and onnx model files are fetched. This might, depending on the bandwidth, take time. Therefore, the first run takes proportionally longer than each consecutive run. Also, all files are cached by the browser and an additional model cache.
+
+## Advanced Configuration
+
+The library does not need any configuration to get started. However, there are optional parameters that influence the behaviour and give more control over the library.
+
+```typescript
+type Config = {
+ publicPath: string; // The public path used for model a
+ debug: bool; // enable or disable useful console.log outputs
+ proxyToWorker: bool; // Whether to proxy the calculations to a web worker. (Default true)
+ model: 'small' | 'medium'; // The model to use. (Default "medium")
+};
+```
+
+### Download Size vs Quality
+
+The onnx model is shipped in various sizes and needs.
+
+- small (~40 MB) is the smallest model and is in most cases working fine but sometimes shows some artifacts. It's a quantized model.
+- medium (~80MB) is the default model.
+
+### Download Progress Monitoring
+
+On the first run, the necessary data will be fetched and stored in the browser cache. Since the download might take some time, you have the option to tap into the download progress.
+
+```typescript
+let config: Config = {
+ progress: (key, current, total) => {
+ console.log(`Downloading ${key}: ${current} of ${total}`);
+ }
+};
+```
+
+### Custom Asset Serving
+
+Currently, the wasm and onnx neural networks are served via unpkg. For production use, we advise you to host them yourself. Therefore, copy all .wasm and .onnx files to your public path `$PUBLIC_PATH` and reconfigure the library.
+
+```shell
+cp node_modules/@imgly/background-removal-node/dist/*.* $PUBLIC_PATH
+```
+
+```typescript
+import { removeBackground, Config} from "@imgly/background-removal"
+
+const public_path = "file:/PATH_TO_ASSETS" ; // the path assets are served from
+
+let config: Config = {
+ publicPath: public_path, // path to the wasm files
+};
+
+let image_src: ImageData | ArrayBuffer | Uint8Array | Blob | URL | string = ...;
+
+removeBackground(image_src, config).then((blob: Blob) => {
+ // result is a blob encoded as PNG.
+})
+```
+
+### Debug Outputs
+
+Enable debug outputs and logging to the console
+
+```typescript
+let config: Config = {
+ debug: true
+};
+```
+
+### Cross-Origin Resource Sharing (CORS)
+
+If you are running into CORS issues you might want to pass additional parameters to the fetch function via
+
+```typescript
+let config: Config = {
+ fetchArgs: {
+ mode: 'no-cors'
+ }
+};
+```
+
+`fetchArgs` are passed as second parameters to the fetch function as described in [MDN](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API/Using_Fetch).
+
+## Who is it for?
+
+`@imgly/background-removal-node` is ideal for developers and projects that require efficient and cost-effective background removal directly in the NodeJs. It caters to a wide range of use cases, including but not limited to:
+
+- _E-commerce applications_ that need to remove backgrounds from product images in real time.
+
+- _Image editing applications_ that require background removal capabilities for enhancing user experience.
+
+- _Web-based graphic design tools_ that aim to simplify the creative process with in-browser background removal.
+
+Whether you are a professional developer or a hobbyist, `@imgly/background-removal-node` empowers you to deliver impressive applications and services with ease.
+
+## License
+
+The software is free for use under the GPL License. Please contact [support@img.ly](mailto:support@img.ly?subject=Background-Removal-Node%20License) for questions about other licensing options.
+
+## Authors & Contributors
+
+This library is made by IMG.LY shipping the world's premier SDKs for building creative applications.
+Start your trial of the [CreativeEditor SDK](https://img.ly/products/creative-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal-node), [PhotoEditor SDK](https://img.ly/products/photo-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal-node) & [VideoEditor SDK](https://img.ly/products/video-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal-node).
diff --git a/packages/node/TODO.md b/packages/node/TODO.md
new file mode 100644
index 0000000..59910ec
--- /dev/null
+++ b/packages/node/TODO.md
@@ -0,0 +1,21 @@
+- [ ] Provide typescript bindings
+- [x] Provide access to filesystem for nodejs version
+- [ ] Update build script to external dependencies from `package.json`
+- [ ] use logger callback instead of `console.log`
+ ```
+ logger: (level, message: string, args...) => void
+ ```
+- [ ] use resolver callback instead of publicPath as such we can allow various
+ ```
+ resolve: (path: string) => Response
+ ```
+- [ ] use decode callback to allow different types of image decoders
+ ```
+ decode: (buffer: Uint8Array, mimetype: string) => Uint8Array
+ ```
+- [ ] use encode callback to allow differnt types of image encoders
+ ```
+ encode: (buffer: Uint8Array, mimetype: string) => Uint8Array
+ ```
+
+- [ ] use zod to check each api endpoint and not just the config. This will allow checking the input and the output
diff --git a/packages/node/package-lock.json b/packages/node/package-lock.json
new file mode 100644
index 0000000..0601825
--- /dev/null
+++ b/packages/node/package-lock.json
@@ -0,0 +1,3457 @@
+{
+ "name": "@imgly/background-removal-node",
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+ }
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+ },
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+ "dev": true,
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+}
diff --git a/packages/node/package.json b/packages/node/package.json
new file mode 100644
index 0000000..703dc6b
--- /dev/null
+++ b/packages/node/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@imgly/background-removal-node",
+ "version": "1.1.0",
+ "description": "Background Removal in NodeJS",
+ "keywords": [
+ "background-removal",
+ "nodejs",
+ "image-segmentation",
+ "image-matting",
+ "onnx"
+ ],
+ "repository": {
+ "type": "git",
+ "url": "https://github.com/imgly/background-removal-js.git"
+ },
+ "license": "SEE LICENSE IN LICENSE.md",
+ "author": {
+ "name": "IMG.LY GmbH",
+ "email": "support@img.ly",
+ "url": "https://img.ly"
+ },
+ "bugs": {
+ "email": "support@img.ly"
+ },
+ "homepage": "https://img.ly/showcases/cesdk/web/background-removal/node",
+ "source": "./src/index.ts",
+ "main": "./dist/index.cjs",
+ "module": "./dist/index.mjs",
+ "types": "./dist/types.d.ts",
+ "files": [
+ "LICENSE.md",
+ "README.md",
+ "dist/",
+ "bin/"
+ ],
+ "scripts": {
+ "start": "npm run watch",
+ "clean": "npx rimraf dist",
+ "test": "true",
+ "resources": "node ../../scripts/package-resources.mjs",
+ "build": "npm run clean && npm run resources && node scripts/build.mjs",
+ "watch": "npm run clean && npm run resources && node scripts/watch.mjs",
+ "publish": "npm run build && npm publish --access public",
+ "lint": "npx prettier --write ."
+ },
+ "dependencies": {
+ "onnxruntime-node": "^1.15.1",
+ "sharp": "^0.32.4"
+ },
+ "devDependencies": {
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "zod": "^3.21.4",
+ "assert": "^2.0.0",
+ "esbuild": "^0.18.18",
+ "npm-dts": "^1.3.12",
+ "os-browserify": "^0.3.0",
+ "path-browserify": "^1.0.1",
+ "process": "^0.11.10",
+ "stream-browserify": "^3.0.0",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.6",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4"
+ }
+}
diff --git a/packages/node/scripts/build.mjs b/packages/node/scripts/build.mjs
new file mode 100644
index 0000000..93ec932
--- /dev/null
+++ b/packages/node/scripts/build.mjs
@@ -0,0 +1,32 @@
+export { configs };
+import * as esbuild from 'esbuild';
+import dts from 'npm-dts';
+
+new dts.Generator({
+ entry: 'src/index.ts',
+ output: 'dist/index.d.ts'
+}).generate();
+
+const configs = [
+ {
+ entryPoints: ['src/index.ts'],
+ bundle: true,
+ sourcemap: true,
+ platform: 'node',
+ format: 'cjs',
+ external: ['sharp', 'onnxruntime-node'],
+ outfile: 'dist/index.cjs'
+ },
+
+ {
+ entryPoints: ['src/index.ts'],
+ bundle: true,
+ sourcemap: true,
+ external: ['sharp', 'onnxruntime-node'],
+ platform: 'node',
+ format: 'esm',
+ outfile: 'dist/index.mjs'
+ }
+];
+
+await configs.map(async (config) => await esbuild.build(config));
diff --git a/packages/node/scripts/watch.mjs b/packages/node/scripts/watch.mjs
new file mode 100644
index 0000000..17a18db
--- /dev/null
+++ b/packages/node/scripts/watch.mjs
@@ -0,0 +1,15 @@
+import * as esbuild from 'esbuild';
+import { configs } from './build.mjs';
+import dts from 'npm-dts';
+
+new dts.Generator({
+ entry: 'src/index.ts',
+ output: 'dist/index.d.ts'
+}).generate();
+
+const contexts = await Promise.all(
+ configs.map((config) => esbuild.context(config))
+);
+
+await Promise.any(contexts.map((ctx) => ctx.watch()));
+console.log('watching...');
diff --git a/packages/node/src/codecs.ts b/packages/node/src/codecs.ts
new file mode 100644
index 0000000..1a226b8
--- /dev/null
+++ b/packages/node/src/codecs.ts
@@ -0,0 +1,40 @@
+export { imageEncode, imageDecode };
+
+import sharp, { FormatEnum } from 'sharp';
+import ndarray, { NdArray } from 'ndarray';
+
+async function imageDecode(blob: Blob): Promise> {
+ const buffer = await blob.arrayBuffer();
+ const decoded = sharp(buffer);
+
+ let { width, height, channels } = await decoded.metadata();
+
+ if (channels === 3) {
+ decoded.ensureAlpha();
+ channels = 4;
+ }
+
+ const outBuffer = await decoded.raw().toBuffer();
+ const array = ndarray(outBuffer, [height!, width!, channels!]);
+ await sharp(array.data, {
+ raw: { width: width!, height: height!, channels: channels! }
+ });
+ return array;
+}
+
+async function imageEncode(
+ imageData: NdArray,
+ quality: number = 0.8,
+ type: string = 'image/png'
+): Promise {
+ const [height, width, channels] = imageData.shape;
+ if (channels !== 4) throw new Error('Only 4-channel images are supported');
+ const image = sharp(imageData.data, { raw: { height, width, channels } });
+ type Keys = keyof FormatEnum;
+ const format = type.split('/').pop()! as Keys;
+
+ const buffer = await image
+ .toFormat(format, { quality: quality * 100 })
+ .toBuffer();
+ return new Blob([buffer], { type: type });
+}
diff --git a/packages/node/src/index.ts b/packages/node/src/index.ts
new file mode 100644
index 0000000..018421d
--- /dev/null
+++ b/packages/node/src/index.ts
@@ -0,0 +1,58 @@
+// Exports
+export default removeBackground;
+export type { ImageSource, Config };
+export { removeBackground };
+
+// Imports
+import { initInference, runInference } from './inference';
+import { Config } from './schema';
+import * as utils from './utils';
+import { NdArray } from 'ndarray';
+import * as codecs from './codecs';
+import { memoize } from 'lodash';
+import { ensureAbsoluteURI } from './url';
+import { loadFromURI } from './resource';
+
+type ImageSource = ArrayBuffer | Uint8Array | Blob | URL | string;
+
+const init = memoize(initInference, (config) => JSON.stringify(config));
+
+async function removeBackground(
+ image: ImageSource,
+ configuration?: Config
+): Promise {
+ const { config, session } = await init(configuration);
+
+ if (config.debug) {
+ config.progress =
+ config.progress ??
+ ((key, current, total) => {
+ console.debug(`Downloading ${key}: ${current} of ${total}`);
+ });
+ }
+
+ image = await imageSourceToImageData(image, config);
+
+ const outImageTensor = await runInference(image, config, session);
+ return await utils.imageEncode(outImageTensor);
+}
+
+async function imageSourceToImageData(
+ image: ImageSource,
+ config: Config
+): Promise> {
+ if (typeof image === 'string') {
+ image = ensureAbsoluteURI(image, `file://${process.cwd()}/`);
+ }
+ if (image instanceof URL) {
+ image = await (await loadFromURI(image)).blob()
+ }
+ if (image instanceof ArrayBuffer || ArrayBuffer.isView(image)) {
+ image = new Blob([image]);
+ }
+ if (image instanceof Blob) {
+ image = await codecs.imageDecode(image);
+ }
+
+ return image as NdArray;
+}
diff --git a/packages/node/src/inference.ts b/packages/node/src/inference.ts
new file mode 100644
index 0000000..2a9c28c
--- /dev/null
+++ b/packages/node/src/inference.ts
@@ -0,0 +1,57 @@
+export { initInference, runInference };
+
+import { tensorResize, tensorHWCtoBCHW } from './utils';
+import { createOnnxSession, runOnnxSession } from './onnx';
+import { calculateProportionalSize } from './utils';
+import { Config } from './schema';
+import ndarray, { NdArray } from 'ndarray';
+import { loadAsBlob } from './resource';
+
+async function initInference(config: Config) {
+
+ if (config.debug) console.debug('Loading model...');
+ const model = config.model;
+ const blob = await loadAsBlob(`/models/${model}`, config);
+ const arrayBuffer = await blob.arrayBuffer();
+ const session = await createOnnxSession(arrayBuffer, config);
+ return { config, session };
+}
+
+async function runInference(
+ imageTensor: NdArray,
+ config: Config,
+ session: any
+): Promise> {
+ if (config.progress) config.progress('compute:inference', 0, 1);
+ const resolution = 1024;
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ let tensorImage = await tensorResize(imageTensor, resolution, resolution);
+ const inputTensor = tensorHWCtoBCHW(tensorImage);
+ const predictionsDict = await runOnnxSession(
+ session,
+ [['input', inputTensor]],
+ ['output']
+ );
+
+ const stride = resolution * resolution;
+
+ for (let i = 0; i < 4 * stride; i += 4) {
+ let idx = i / 4;
+ let alpha = predictionsDict[0].data[idx];
+ tensorImage.data[i + 3] = alpha * 255;
+ }
+
+ const [width, height] = calculateProportionalSize(
+ srcWidth,
+ srcHeight,
+ resolution,
+ resolution
+ );
+
+ const dst_width = Math.min(width, srcWidth);
+ const dst_height = Math.min(height, srcHeight);
+
+ tensorImage = await tensorResize(tensorImage, dst_width, dst_height);
+ if (config.progress) config.progress('compute:inference', 1, 1);
+ return ndarray(tensorImage.data, [dst_height, dst_width, 4]);
+}
diff --git a/packages/node/src/onnx.ts b/packages/node/src/onnx.ts
new file mode 100644
index 0000000..291075a
--- /dev/null
+++ b/packages/node/src/onnx.ts
@@ -0,0 +1,55 @@
+export { createOnnxSession, runOnnxSession };
+
+import ndarray, { NdArray } from 'ndarray';
+import * as ort from 'onnxruntime-node';
+// import * as ort from 'onnxruntime-node-gpu';
+import { Config } from './schema';
+
+async function createOnnxSession(model: any, config: Config) {
+ if (config.debug) {
+ ort.env.debug = true;
+ ort.env.logLevel = 'verbose';
+ console.debug('ort.env.wasm:', ort.env.wasm);
+ }
+
+ const ort_config: ort.InferenceSession.SessionOptions = {
+ graphOptimizationLevel: 'all',
+ executionMode: 'parallel'
+ };
+
+ const session = await ort.InferenceSession.create(model, ort_config).catch(
+ (e: any) => {
+ throw new Error(
+ `Failed to create session: ${e}. Please check if the publicPath is set correctly.`
+ );
+ }
+ );
+ return session;
+}
+
+async function runOnnxSession(
+ session: any,
+ inputs: [string, NdArray][],
+ outputs: [string]
+) {
+ const feeds: Record = {};
+ for (const [key, tensor] of inputs) {
+ feeds[key] = new ort.Tensor(
+ 'float32',
+ new Float32Array(tensor.data),
+ tensor.shape
+ );
+ }
+ const outputData = await session.run(feeds, {});
+ const outputKVPairs: NdArray[] = [];
+
+ for (const key of outputs) {
+ const output: ort.Tensor = outputData[key];
+ const shape: Number[] = output.dims as number[];
+ const data: Float32Array = output.data as Float32Array;
+ const tensor = ndarray(data, shape);
+ outputKVPairs.push(tensor);
+ }
+
+ return outputKVPairs;
+}
diff --git a/packages/node/src/platform.ts b/packages/node/src/platform.ts
new file mode 100644
index 0000000..08ef839
--- /dev/null
+++ b/packages/node/src/platform.ts
@@ -0,0 +1,32 @@
+export { platform, Platform };
+
+enum Platform {
+ Unknown,
+ Node,
+ Browser,
+ Deno,
+ Electron,
+ ReactNative
+}
+
+const isBrowser = typeof window !== 'undefined';
+const isNode =
+ typeof process !== 'undefined' && process.versions && process.versions.node;
+const isDeno = typeof Deno !== 'undefined';
+const isElectron =
+ typeof window !== 'undefined' &&
+ window.process &&
+ window.process.type === 'renderer';
+const isReactNative =
+ typeof navigator !== 'undefined' && navigator.product === 'ReactNative';
+const isBun = typeof window !== 'undefined' && window.__BUN__;
+
+const platform = (() => {
+ if (isBrowser) return Platform.Browser;
+ if (isNode) return Platform.Node;
+ if (isDeno) return Platform.Deno;
+ if (isElectron) return Platform.Electron;
+ if (isReactNative) return Platform.ReactNative;
+ if (isBun) return Platform.Bun;
+ return Platform.Unknown;
+})();
diff --git a/packages/node/src/resource.ts b/packages/node/src/resource.ts
new file mode 100644
index 0000000..9a29dfd
--- /dev/null
+++ b/packages/node/src/resource.ts
@@ -0,0 +1,97 @@
+export { loadAsBlob, loadAsUrl, loadFromURI };
+
+import { Config } from './schema';
+import { ensureAbsoluteURI } from './url';
+import { readFile } from 'fs/promises';
+
+async function loadAsUrl(url: string, config: Config) {
+ return URL.createObjectURL(await loadAsBlob(url, config));
+}
+
+async function loadFromURI(
+ uri: URL,
+ config = { headers: { 'Content-Type': 'application/octet-stream' } }
+) {
+ switch (uri.protocol) {
+ case 'http:':
+ return await fetch(uri);
+ case 'https:':
+ return await fetch(uri);
+ case 'file:': {
+ const buffer = await readFile(uri.pathname);
+ return new Response(buffer, { status: 200, headers: config.headers });
+ }
+ default:
+ throw new Error(`Unsupported protocol: ${uri.protocol}`);
+ }
+}
+async function loadAsBlob(key: string, config: Config) {
+ // load resource metadata
+
+ const resourceUri = ensureAbsoluteURI('./resources.json', config.publicPath);
+
+ const resourceResponse = await loadFromURI(resourceUri);
+ if (!resourceResponse.ok) {
+ throw new Error(
+ `Resource metadata not found. Ensure that the config.publicPath is configured correctly.`
+ );
+ }
+ const resourceMap = await resourceResponse.json();
+ const entry = resourceMap[key];
+
+ if (!entry) {
+ throw new Error(
+ `Resource ${key} not found. Ensure that the config.publicPath is configured correctly.`
+ );
+ }
+
+ let paths = Object.keys(entry.chunks);
+
+ const allChunks = await Promise.all(
+ paths.map(async (path) => {
+ const url = ensureAbsoluteURI(path, config.publicPath);
+ const response = await loadFromURI(url, {
+ headers: { 'Content-Type': entry.mime }
+ });
+
+ const chunks = config.progress
+ ? await fetchChunked(response, entry, config, key)
+ : [await response.blob()];
+ return chunks;
+ })
+ );
+
+ const chunks = allChunks.flat();
+ const data = new Blob(chunks, { type: entry.mime });
+ if (data.size !== entry.size) {
+ throw new Error(
+ `Failed to fetch ${key} with size ${entry.size} but got ${data.size}`
+ );
+ }
+ return data;
+}
+
+async function fetchChunked(
+ response: Response,
+ entry: any,
+ config: Config,
+ key: string
+) {
+ const reader = response.body!.getReader();
+ // let contentLength = Number(response.headers.get('Content-Length'));
+ const contentLength = entry.size ?? 0;
+ let receivedLength = 0;
+
+ let chunks: Uint8Array[] = [];
+ while (true) {
+ const { done, value } = await reader.read();
+ if (done) {
+ break;
+ }
+ chunks.push(value);
+ receivedLength += value.length;
+ if (config.progress)
+ config.progress(`fetch:${key}`, receivedLength, contentLength);
+ }
+ return chunks;
+}
diff --git a/src/schema.ts b/packages/node/src/schema.ts
similarity index 71%
rename from src/schema.ts
rename to packages/node/src/schema.ts
index 597d7b2..8555b8e 100644
--- a/src/schema.ts
+++ b/packages/node/src/schema.ts
@@ -1,7 +1,16 @@
export { ConfigSchema, Config, validateConfig };
-
import { z } from 'zod';
-import { ensureAbsoluteURL } from './utils';
+import path from 'node:path';
+import pkg from '../package.json';
+
+function isURI(s: string) {
+ try {
+ new URL(s);
+ return true;
+ } catch (err) {
+ return false;
+ }
+}
const ConfigSchema = z
.object({
@@ -9,15 +18,14 @@ const ConfigSchema = z
.string()
.optional()
.describe('The public path to the wasm files and the onnx model.')
- .transform((val) => (val ? ensureAbsoluteURL(val) : val)),
+ .default(`file://${path.resolve(`node_modules/${pkg.name}/dist/`)}/`)
+ .refine((val) => isURI(val), {
+ message: 'String must be a valid uri ("file://" or "http(s)://"'
+ }),
debug: z
.boolean()
.default(false)
.describe('Whether to enable debug logging.'),
- proxyToWorker: z
- .boolean()
- .default(true)
- .describe('Whether to proxy inference to a web worker.'),
fetchArgs: z
.object({})
.default({})
diff --git a/packages/node/src/url.ts b/packages/node/src/url.ts
new file mode 100644
index 0000000..450ebd8
--- /dev/null
+++ b/packages/node/src/url.ts
@@ -0,0 +1,14 @@
+export { ensureAbsoluteURI };
+
+function isAbsoluteURI(url: string): boolean {
+ const regExp = new RegExp('^(?:[a-z+]+:)?//', 'i');
+ return regExp.test(url); // true - regular http absolute URL
+}
+
+function ensureAbsoluteURI(url: string, baseUrl: string): URL {
+ if (isAbsoluteURI(url)) {
+ return new URL(url);
+ } else {
+ return new URL(url, baseUrl);
+ }
+}
diff --git a/packages/node/src/utils.ts b/packages/node/src/utils.ts
new file mode 100644
index 0000000..2e8550a
--- /dev/null
+++ b/packages/node/src/utils.ts
@@ -0,0 +1,123 @@
+export {
+ imageDecode,
+ imageEncode,
+ tensorResize,
+ tensorHWCtoBCHW,
+ imageBitmapToImageData,
+ calculateProportionalSize
+};
+
+import ndarray, { NdArray } from 'ndarray';
+import { imageDecode, imageEncode } from './codecs';
+
+function imageBitmapToImageData(imageBitmap: ImageBitmap): ImageData {
+ var canvas = new OffscreenCanvas(imageBitmap.width, imageBitmap.height);
+ var ctx = canvas.getContext('2d')!;
+ ctx.drawImage(imageBitmap, 0, 0);
+ return ctx.getImageData(0, 0, canvas.width, canvas.height);
+}
+
+async function tensorResize(
+ imageTensor: NdArray,
+ newWidth: number,
+ newHeight: number
+): Promise> {
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ // Calculate the scaling factors
+ const scaleX = srcWidth / newWidth;
+ const scaleY = srcHeight / newHeight;
+
+ // Create a new NdArray to store the resized image
+ const resizedImageData = ndarray(
+ new Uint8Array(srcChannels * newWidth * newHeight),
+ [newHeight, newWidth, srcChannels]
+ );
+ // Perform interpolation to fill the resized NdArray
+ for (let y = 0; y < newHeight; y++) {
+ for (let x = 0; x < newWidth; x++) {
+ for (let c = 0; c < srcChannels; c++) {
+ const srcX = x * scaleX;
+ const srcY = y * scaleY;
+ const x1 = Math.floor(srcX);
+ const x2 = Math.ceil(srcX);
+ const y1 = Math.floor(srcY);
+ const y2 = Math.ceil(srcY);
+
+ const dx = srcX - x1;
+ const dy = srcY - y1;
+
+ const p1 = imageTensor.get(y1, x1, c);
+ const p2 = imageTensor.get(y1, x2, c);
+ const p3 = imageTensor.get(y2, x1, c);
+ const p4 = imageTensor.get(y2, x2, c);
+
+ // Perform bilinear interpolation
+ const interpolatedValue =
+ (1 - dx) * (1 - dy) * p1 +
+ dx * (1 - dy) * p2 +
+ (1 - dx) * dy * p3 +
+ dx * dy * p4;
+
+ resizedImageData.set(y, x, c, Math.round(interpolatedValue));
+ }
+ }
+ }
+
+ return resizedImageData;
+}
+
+// async function tensorResize(
+// imageTensor: NdArray,
+// newWidth: number,
+// newHeight: number
+// ): Promise> {
+// const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+// const imageData = new ImageData(imageTensor.data, srcWidth, srcHeight);
+// const bitmap = await createImageBitmap(imageData, {
+// resizeWidth: newWidth,
+// resizeHeight: newHeight,
+// resizeQuality: 'high',
+// premultiplyAlpha: 'premultiply'
+// });
+// const outImageData = imageBitmapToImageData(bitmap);
+// return ndarray(outImageData.data, [
+// outImageData.height,
+// outImageData.width,
+// 4
+// ]);
+// }
+
+function tensorHWCtoBCHW(
+ imageTensor: NdArray,
+ mean: number[] = [128, 128, 128],
+ std: number[] = [256, 256, 256]
+): NdArray {
+ var imageBufferData = imageTensor.data;
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ const stride = srcHeight * srcWidth;
+ const float32Data = new Float32Array(3 * stride);
+
+ // r_0, r_1, .... g_0,g_1, .... b_0
+ for (let i = 0, j = 0; i < imageBufferData.length; i += 4, j += 1) {
+ float32Data[j] = (imageBufferData[i] - mean[0]) / std[0];
+ float32Data[j + stride] = (imageBufferData[i + 1] - mean[1]) / std[1];
+ float32Data[j + stride + stride] =
+ (imageBufferData[i + 2] - mean[2]) / std[2];
+ }
+
+ return ndarray(float32Data, [1, 3, srcHeight, srcWidth]);
+}
+
+function calculateProportionalSize(
+ originalWidth: number,
+ originalHeight: number,
+ maxWidth: number,
+ maxHeight: number
+): [number, number] {
+ const widthRatio = maxWidth / originalWidth;
+ const heightRatio = maxHeight / originalHeight;
+ const scalingFactor = Math.min(widthRatio, heightRatio);
+ const newWidth = Math.floor(originalWidth * scalingFactor);
+ const newHeight = Math.floor(originalHeight * scalingFactor);
+ return [newWidth, newHeight];
+}
diff --git a/packages/node/tsconfig.json b/packages/node/tsconfig.json
new file mode 100644
index 0000000..c8994f3
--- /dev/null
+++ b/packages/node/tsconfig.json
@@ -0,0 +1,9 @@
+{
+ "compilerOptions": {
+ "lib": ["DOM", "ES2020"],
+ "resolveJsonModule": true,
+ "esModuleInterop": true,
+ "emitDeclarationOnly": true,
+ "declaration": true
+ }
+}
diff --git a/examples/create-react-app/.gitignore b/packages/web-examples/create-react-app/.gitignore
similarity index 100%
rename from examples/create-react-app/.gitignore
rename to packages/web-examples/create-react-app/.gitignore
diff --git a/examples/create-react-app/README.md b/packages/web-examples/create-react-app/README.md
similarity index 100%
rename from examples/create-react-app/README.md
rename to packages/web-examples/create-react-app/README.md
diff --git a/examples/create-react-app/package-lock.json b/packages/web-examples/create-react-app/package-lock.json
similarity index 99%
rename from examples/create-react-app/package-lock.json
rename to packages/web-examples/create-react-app/package-lock.json
index 077f782..7b03854 100644
--- a/examples/create-react-app/package-lock.json
+++ b/packages/web-examples/create-react-app/package-lock.json
@@ -1,14 +1,14 @@
{
"name": "test",
- "version": "0.1.0",
+ "version": "1.1.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "test",
- "version": "0.1.0",
+ "version": "1.1.0",
"dependencies": {
- "@imgly/background-removal": "file:../../",
+ "@imgly/background-removal": "file:../../web",
"@testing-library/jest-dom": "^5.16.5",
"@testing-library/react": "^13.4.0",
"@testing-library/user-event": "^13.5.0",
@@ -20,22 +20,30 @@
},
"../..": {
"name": "@imgly/background-removal",
- "version": "1.0.3",
+ "version": "1.0.6",
"license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "lodash": "^4.17.21",
+ "onnxruntime-web": "^1.15.1",
+ "wasm-feature-detect": "^1.5.1",
+ "zod": "^3.21.4"
+ },
"devDependencies": {
+ "@parcel/packager-ts": "^2.9.3",
+ "@parcel/resolver-default": "^2.9.3",
+ "@parcel/transformer-typescript-types": "^2.9.3",
"@types/lodash": "^4.14.195",
"@types/node": "^20.3.1",
"assert": "^2.0.0",
- "lodash": "^4.17.21",
- "onnxruntime-web": "~1.15.0",
+ "glob": "^10.3.3",
+ "parcel": "^2.9.3",
+ "process": "^0.11.10",
"ts-loader": "^9.4.3",
"tslib": "^2.5.3",
"typescript": "^5.1.3",
"util": "^0.12.5",
- "wasm-feature-detect": "^1.5.1",
"webpack": "^5.85.1",
- "webpack-cli": "^5.1.4",
- "zod": "^3.21.4"
+ "webpack-cli": "^5.1.4"
}
},
"../../node_modules/@discoveryjs/json-ext": {
@@ -105,27 +113,22 @@
},
"../../node_modules/@protobufjs/aspromise": {
"version": "1.1.2",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/base64": {
"version": "1.1.2",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/codegen": {
"version": "2.0.4",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/eventemitter": {
"version": "1.1.0",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/fetch": {
"version": "1.1.0",
- "dev": true,
"license": "BSD-3-Clause",
"dependencies": {
"@protobufjs/aspromise": "^1.1.1",
@@ -134,27 +137,22 @@
},
"../../node_modules/@protobufjs/float": {
"version": "1.0.2",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/inquire": {
"version": "1.1.0",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/path": {
"version": "1.1.2",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/pool": {
"version": "1.1.0",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@protobufjs/utf8": {
"version": "1.1.0",
- "dev": true,
"license": "BSD-3-Clause"
},
"../../node_modules/@types/eslint": {
@@ -192,12 +190,10 @@
},
"../../node_modules/@types/long": {
"version": "4.0.2",
- "dev": true,
"license": "MIT"
},
"../../node_modules/@types/node": {
"version": "20.3.1",
- "dev": true,
"license": "MIT"
},
"../../node_modules/@webassemblyjs/ast": {
@@ -767,7 +763,6 @@
},
"../../node_modules/flatbuffers": {
"version": "1.12.0",
- "dev": true,
"license": "SEE LICENSE IN LICENSE.txt"
},
"../../node_modules/for-each": {
@@ -820,7 +815,6 @@
},
"../../node_modules/guid-typescript": {
"version": "1.0.9",
- "dev": true,
"license": "ISC"
},
"../../node_modules/has": {
@@ -1118,7 +1112,6 @@
},
"../../node_modules/long": {
"version": "4.0.0",
- "dev": true,
"license": "Apache-2.0"
},
"../../node_modules/merge-stream": {
@@ -1192,7 +1185,6 @@
},
"../../node_modules/onnx-proto": {
"version": "4.0.4",
- "dev": true,
"license": "MIT",
"dependencies": {
"protobufjs": "^6.8.8"
@@ -1201,14 +1193,12 @@
"../../node_modules/onnxruntime-common": {
"version": "1.15.1",
"resolved": "https://registry.npmjs.org/onnxruntime-common/-/onnxruntime-common-1.15.1.tgz",
- "integrity": "sha512-Y89eJ8QmaRsPZPWLaX7mfqhj63ny47rSkQe80hIo+lvBQdrdXYR9VO362xvZulk9DFkCnXmGidprvgJ07bKsIQ==",
- "dev": true
+ "integrity": "sha512-Y89eJ8QmaRsPZPWLaX7mfqhj63ny47rSkQe80hIo+lvBQdrdXYR9VO362xvZulk9DFkCnXmGidprvgJ07bKsIQ=="
},
"../../node_modules/onnxruntime-web": {
"version": "1.15.1",
"resolved": "https://registry.npmjs.org/onnxruntime-web/-/onnxruntime-web-1.15.1.tgz",
"integrity": "sha512-Ky4AXFLFyiGRu5KQJdDcbhdNcO0f2ND/8IPmTEwcKKIHpCwH6/Q9UoMpcoFz78lxGvnmmy+FFgA/Bs1HjdM6LA==",
- "dev": true,
"dependencies": {
"flatbuffers": "^1.12.0",
"guid-typescript": "^1.0.9",
@@ -1290,12 +1280,10 @@
},
"../../node_modules/platform": {
"version": "1.3.6",
- "dev": true,
"license": "MIT"
},
"../../node_modules/protobufjs": {
"version": "6.11.3",
- "dev": true,
"hasInstallScript": true,
"license": "BSD-3-Clause",
"dependencies": {
@@ -1681,11 +1669,6 @@
"which-typed-array": "^1.1.2"
}
},
- "../../node_modules/wasm-feature-detect": {
- "version": "1.5.1",
- "dev": true,
- "license": "Apache-2.0"
- },
"../../node_modules/watchpack": {
"version": "2.4.0",
"dev": true,
@@ -1854,6 +1837,32 @@
"url": "https://github.com/sponsors/colinhacks"
}
},
+ "../../web": {
+ "name": "@imgly/background-removal",
+ "version": "1.1.0",
+ "license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "onnxruntime-web": "^1.15.1"
+ },
+ "devDependencies": {
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "assert": "^2.0.0",
+ "esbuild": "^0.18.18",
+ "glob": "^10.3.3",
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "npm-dts": "^1.3.12",
+ "process": "^0.11.10",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4",
+ "zod": "^3.21.4"
+ }
+ },
"node_modules/@adobe/css-tools": {
"version": "4.2.0",
"license": "MIT"
@@ -4136,7 +4145,7 @@
"license": "BSD-3-Clause"
},
"node_modules/@imgly/background-removal": {
- "resolved": "../..",
+ "resolved": "../../web",
"link": true
},
"node_modules/@istanbuljs/load-nyc-config": {
diff --git a/examples/create-react-app/package.json b/packages/web-examples/create-react-app/package.json
similarity index 91%
rename from examples/create-react-app/package.json
rename to packages/web-examples/create-react-app/package.json
index 861c855..8951bc0 100644
--- a/examples/create-react-app/package.json
+++ b/packages/web-examples/create-react-app/package.json
@@ -1,9 +1,9 @@
{
"name": "test",
- "version": "0.1.0",
+ "version": "1.1.0",
"private": true,
"dependencies": {
- "@imgly/background-removal": "file:../../",
+ "@imgly/background-removal": "file:../../web",
"@testing-library/jest-dom": "^5.16.5",
"@testing-library/react": "^13.4.0",
"@testing-library/user-event": "^13.5.0",
diff --git a/examples/create-react-app/public/favicon.ico b/packages/web-examples/create-react-app/public/favicon.ico
similarity index 100%
rename from examples/create-react-app/public/favicon.ico
rename to packages/web-examples/create-react-app/public/favicon.ico
diff --git a/examples/create-react-app/public/index.html b/packages/web-examples/create-react-app/public/index.html
similarity index 100%
rename from examples/create-react-app/public/index.html
rename to packages/web-examples/create-react-app/public/index.html
diff --git a/examples/create-react-app/public/logo192.png b/packages/web-examples/create-react-app/public/logo192.png
similarity index 100%
rename from examples/create-react-app/public/logo192.png
rename to packages/web-examples/create-react-app/public/logo192.png
diff --git a/examples/create-react-app/public/logo512.png b/packages/web-examples/create-react-app/public/logo512.png
similarity index 100%
rename from examples/create-react-app/public/logo512.png
rename to packages/web-examples/create-react-app/public/logo512.png
diff --git a/examples/create-react-app/public/manifest.json b/packages/web-examples/create-react-app/public/manifest.json
similarity index 100%
rename from examples/create-react-app/public/manifest.json
rename to packages/web-examples/create-react-app/public/manifest.json
diff --git a/examples/create-react-app/public/robots.txt b/packages/web-examples/create-react-app/public/robots.txt
similarity index 100%
rename from examples/create-react-app/public/robots.txt
rename to packages/web-examples/create-react-app/public/robots.txt
diff --git a/examples/create-react-app/public/static/js b/packages/web-examples/create-react-app/public/static/js
similarity index 100%
rename from examples/create-react-app/public/static/js
rename to packages/web-examples/create-react-app/public/static/js
diff --git a/examples/create-react-app/src/App.css b/packages/web-examples/create-react-app/src/App.css
similarity index 100%
rename from examples/create-react-app/src/App.css
rename to packages/web-examples/create-react-app/src/App.css
diff --git a/examples/create-react-app/src/App.js b/packages/web-examples/create-react-app/src/App.js
similarity index 95%
rename from examples/create-react-app/src/App.js
rename to packages/web-examples/create-react-app/src/App.js
index 3b44ad1..12bf2ea 100644
--- a/examples/create-react-app/src/App.js
+++ b/packages/web-examples/create-react-app/src/App.js
@@ -50,8 +50,8 @@ function App() {
resetTimer();
setImageUrl(randomImage);
- const imageBlob = await removeBackground(randomImage, {
- publicPath: '/static/js/',
+ const imageBlob = await removeBackground(2, {
+ publicPath: `${window.location.href}/static/js/`,
// debug: true,
progress: (key, current, total) => {
const [type, subtype] = key.split(':');
diff --git a/examples/create-react-app/src/index.css b/packages/web-examples/create-react-app/src/index.css
similarity index 100%
rename from examples/create-react-app/src/index.css
rename to packages/web-examples/create-react-app/src/index.css
diff --git a/examples/create-react-app/src/index.js b/packages/web-examples/create-react-app/src/index.js
similarity index 100%
rename from examples/create-react-app/src/index.js
rename to packages/web-examples/create-react-app/src/index.js
diff --git a/examples/create-react-app/src/logo.svg b/packages/web-examples/create-react-app/src/logo.svg
similarity index 100%
rename from examples/create-react-app/src/logo.svg
rename to packages/web-examples/create-react-app/src/logo.svg
diff --git a/examples/create-react-app/src/reportWebVitals.js b/packages/web-examples/create-react-app/src/reportWebVitals.js
similarity index 100%
rename from examples/create-react-app/src/reportWebVitals.js
rename to packages/web-examples/create-react-app/src/reportWebVitals.js
diff --git a/examples/create-react-app/src/setupProxy.js b/packages/web-examples/create-react-app/src/setupProxy.js
similarity index 100%
rename from examples/create-react-app/src/setupProxy.js
rename to packages/web-examples/create-react-app/src/setupProxy.js
diff --git a/examples/create-react-app/src/setupTests.js b/packages/web-examples/create-react-app/src/setupTests.js
similarity index 100%
rename from examples/create-react-app/src/setupTests.js
rename to packages/web-examples/create-react-app/src/setupTests.js
diff --git a/examples/vite-project/.gitignore b/packages/web-examples/vite-project/.gitignore
similarity index 100%
rename from examples/vite-project/.gitignore
rename to packages/web-examples/vite-project/.gitignore
diff --git a/examples/vite-project/README.md b/packages/web-examples/vite-project/README.md
similarity index 100%
rename from examples/vite-project/README.md
rename to packages/web-examples/vite-project/README.md
diff --git a/examples/vite-project/index.html b/packages/web-examples/vite-project/index.html
similarity index 100%
rename from examples/vite-project/index.html
rename to packages/web-examples/vite-project/index.html
diff --git a/examples/vite-project/package-lock.json b/packages/web-examples/vite-project/package-lock.json
similarity index 95%
rename from examples/vite-project/package-lock.json
rename to packages/web-examples/vite-project/package-lock.json
index 16c462f..65ca34b 100644
--- a/examples/vite-project/package-lock.json
+++ b/packages/web-examples/vite-project/package-lock.json
@@ -1,14 +1,14 @@
{
"name": "vite-project",
- "version": "0.0.0",
+ "version": "1.1.0-alpha",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "vite-project",
- "version": "0.0.0",
+ "version": "1.1.0-alpha",
"dependencies": {
- "@imgly/background-removal": "file:../..",
+ "@imgly/background-removal": "file:../../web",
"vue": "^3.2.47"
},
"devDependencies": {
@@ -19,20 +19,57 @@
}
},
"../..": {
- "version": "0.1.0-rc5",
+ "name": "@imgly/background-removal",
+ "version": "1.0.6",
"license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "lodash": "^4.17.21",
+ "onnxruntime-web": "^1.15.1",
+ "wasm-feature-detect": "^1.5.1",
+ "zod": "^3.21.4"
+ },
"devDependencies": {
+ "@parcel/packager-ts": "^2.9.3",
+ "@parcel/transformer-typescript-types": "^2.9.3",
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
"assert": "^2.0.0",
- "lodash": "^4.17.21",
- "onnxruntime-web": "~1.15.0",
+ "glob": "^10.3.3",
+ "parcel": "^2.9.3",
+ "process": "^0.11.10",
"ts-loader": "^9.4.3",
"tslib": "^2.5.3",
"typescript": "^5.1.3",
"util": "^0.12.5",
- "wasm-feature-detect": "^1.5.1",
"webpack": "^5.85.1",
- "webpack-cli": "^5.1.4",
+ "webpack-cli": "^5.1.4"
+ }
+ },
+ "../../web": {
+ "version": "1.1.0-alpha",
+ "license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "onnxruntime-web": "^1.15.1",
"zod": "^3.21.4"
+ },
+ "devDependencies": {
+ "@parcel/packager-ts": "^2.9.3",
+ "@parcel/resolver-default": "^2.9.3",
+ "@parcel/transformer-typescript-types": "^2.9.3",
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "assert": "^2.0.0",
+ "glob": "^10.3.3",
+ "parcel": "^2.9.3",
+ "process": "^0.11.10",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4"
}
},
"node_modules/@babel/parser": {
@@ -399,7 +436,7 @@
}
},
"node_modules/@imgly/background-removal": {
- "resolved": "../..",
+ "resolved": "../../web",
"link": true
},
"node_modules/@jridgewell/sourcemap-codec": {
diff --git a/examples/vite-project/package.json b/packages/web-examples/vite-project/package.json
similarity index 78%
rename from examples/vite-project/package.json
rename to packages/web-examples/vite-project/package.json
index f89843c..b8c9e3f 100644
--- a/examples/vite-project/package.json
+++ b/packages/web-examples/vite-project/package.json
@@ -1,15 +1,16 @@
{
"name": "vite-project",
"private": true,
- "version": "0.0.0",
+ "version": "1.1.0",
"type": "module",
"scripts": {
+ "start": "npm run dev",
"dev": "vite",
"build": "vue-tsc && vite build",
"preview": "vite preview"
},
"dependencies": {
- "@imgly/background-removal": "file:../..",
+ "@imgly/background-removal": "file:../../web",
"vue": "^3.2.47"
},
"devDependencies": {
diff --git a/examples/vite-project/public/js b/packages/web-examples/vite-project/public/js
similarity index 100%
rename from examples/vite-project/public/js
rename to packages/web-examples/vite-project/public/js
diff --git a/examples/vite-project/public/vite.svg b/packages/web-examples/vite-project/public/vite.svg
similarity index 100%
rename from examples/vite-project/public/vite.svg
rename to packages/web-examples/vite-project/public/vite.svg
diff --git a/examples/vite-project/src/App.vue b/packages/web-examples/vite-project/src/App.vue
similarity index 100%
rename from examples/vite-project/src/App.vue
rename to packages/web-examples/vite-project/src/App.vue
diff --git a/examples/vite-project/src/assets/vue.svg b/packages/web-examples/vite-project/src/assets/vue.svg
similarity index 100%
rename from examples/vite-project/src/assets/vue.svg
rename to packages/web-examples/vite-project/src/assets/vue.svg
diff --git a/examples/vite-project/src/components/BGRemoval.vue b/packages/web-examples/vite-project/src/components/BGRemoval.vue
similarity index 100%
rename from examples/vite-project/src/components/BGRemoval.vue
rename to packages/web-examples/vite-project/src/components/BGRemoval.vue
diff --git a/examples/vite-project/src/main.ts b/packages/web-examples/vite-project/src/main.ts
similarity index 100%
rename from examples/vite-project/src/main.ts
rename to packages/web-examples/vite-project/src/main.ts
diff --git a/examples/vite-project/src/style.css b/packages/web-examples/vite-project/src/style.css
similarity index 100%
rename from examples/vite-project/src/style.css
rename to packages/web-examples/vite-project/src/style.css
diff --git a/examples/vite-project/src/vite-env.d.ts b/packages/web-examples/vite-project/src/vite-env.d.ts
similarity index 100%
rename from examples/vite-project/src/vite-env.d.ts
rename to packages/web-examples/vite-project/src/vite-env.d.ts
diff --git a/examples/vite-project/tsconfig.json b/packages/web-examples/vite-project/tsconfig.json
similarity index 100%
rename from examples/vite-project/tsconfig.json
rename to packages/web-examples/vite-project/tsconfig.json
diff --git a/examples/vite-project/tsconfig.node.json b/packages/web-examples/vite-project/tsconfig.node.json
similarity index 100%
rename from examples/vite-project/tsconfig.node.json
rename to packages/web-examples/vite-project/tsconfig.node.json
diff --git a/examples/vite-project/vite.config.ts b/packages/web-examples/vite-project/vite.config.ts
similarity index 100%
rename from examples/vite-project/vite.config.ts
rename to packages/web-examples/vite-project/vite.config.ts
diff --git a/packages/web/.resources.mjs b/packages/web/.resources.mjs
new file mode 100644
index 0000000..5ca8abe
--- /dev/null
+++ b/packages/web/.resources.mjs
@@ -0,0 +1,17 @@
+export default [
+ {
+ path: '/models/',
+ source: '../../bundle/models/small',
+ mime: 'application/octet-steam'
+ },
+ {
+ path: '/models/',
+ source: '../../bundle/models/medium',
+ mime: 'application/octet-steam'
+ },
+ {
+ path: '/onnxruntime-web/',
+ source: './node_modules/onnxruntime-web/dist/*.wasm',
+ mime: 'application/wasm'
+ }
+];
diff --git a/packages/web/README.md b/packages/web/README.md
new file mode 100644
index 0000000..875efc0
--- /dev/null
+++ b/packages/web/README.md
@@ -0,0 +1,165 @@
+# Background Removal in the Browser
+
+
+
+
+
+Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns.
+Explore an [interactive demo](https://img.ly/showcases/cesdk/web/background-removal/web?utm_source=github&utm_medium=project&utm_campaign=bg-removal).
+
+## News
+
+- **`June 28th, 2023`:** We released the code of Background Removal JS.
+
+## Overview
+
+`@imgly/background-removal` is a powerful npm package that allows developers to seamlessly remove the background from images directly in the browser. With its unique features and capabilities, this package offers an innovative and cost-effective solution for background removal tasks without compromising data privacy.
+
+The key features of `@imgly/background-removal` are:
+
+- **In-Browser Background Removal**: Our one-of-a-kind solution performs the entire background removal process directly in the user's browser, eliminating the need for additional server costs. By leveraging the computing power of the local device, users can enjoy a fast and efficient background removal process.
+
+- **Data Protection**: As `@imgly/background-removal` runs entirely in the browser, users can have peace of mind knowing that their images and sensitive information remain secure within their own devices. With no data transfers to external servers, data privacy concerns are effectively mitigated.
+
+- **Seamless Integration with IMG.LY's CE.SDK**: `@imgly/background-removal` provides seamless integration with [IMG.LY's CE.SDK](https://img.ly/products/creative-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal), allowing developers to easily incorporate powerful in-browser image matting and background removal capabilities into their projects.
+
+The Neural Network ([ONNX model](https://onnx.ai/)) and WASM files used by `@imgly/background-removal` are hosted on [UNPKG](https://www.unpkg.com/), making it readily available for download to all users of the library. See the section Custom Asset Serving if you want to host data on your own servers.
+
+
+## Installation
+
+You can install `@imgly/background-removal` via npm or yarn. Use the following commands to install the package:
+
+### NPM
+
+```shell
+npm install @imgly/background-removal
+```
+
+## Usage
+
+```typescript
+import imglyRemoveBackground from "@imgly/background-removal"
+
+let image_src: ImageData | ArrayBuffer | Uint8Array | Blob | URL | string = ...;
+
+imglyRemoveBackground(image_src).then((blob: Blob) => {
+ // The result is a blob encoded as PNG. It can be converted to an URL to be used as HTMLImage.src
+ const url = URL.createObjectURL(blob);
+})
+```
+
+Note: On the first run the wasm and onnx model files are fetched. This might, depending on the bandwidth, take time. Therefore, the first run takes proportionally longer than each consecutive run. Also, all files are cached by the browser and an additional model cache.
+
+## Advanced Configuration
+
+The library does not need any configuration to get started. However, there are optional parameters that influence the behaviour and give more control over the library.
+
+```typescript
+type Config = {
+ publicPath: string; // The public path used for model and wasm files
+ debug: bool; // enable or disable useful console.log outputs
+ proxyToWorker: bool; // Whether to proxy the calculations to a web worker. (Default true)
+ model: 'small' | 'medium'; // The model to use. (Default "medium")
+};
+```
+
+### Download Size vs Quality
+
+The onnx model is shipped in various sizes and needs.
+
+- small (~40 MB) is the smallest model and is in most cases working fine but sometimes shows some artifacts. It's a quantized model.
+- medium (~80MB) is the default model.
+
+### Download Progress Monitoring
+
+On the first run, the necessary data will be fetched and stored in the browser cache. Since the download might take some time, you have the option to tap into the download progress.
+
+```typescript
+let config: Config = {
+ progress: (key, current, total) => {
+ console.log(`Downloading ${key}: ${current} of ${total}`);
+ }
+};
+```
+
+### Performance
+
+The performance is largely dependent on the feature set available. Most prominently, ensure that `SharedArrayBuffer` is available [MDN](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/SharedArrayBuffer). Due to the security requirements of `SharedArrayBuffer` two headers need to be set to cross-origin isolate your site:
+
+```typescript
+'Cross-Origin-Opener-Policy': 'same-origin',
+'Cross-Origin-Embedder-Policy': 'require-corp'
+```
+
+### Custom Asset Serving
+
+Currently, the wasm and onnx neural networks are served via unpkg. For production use, we advise you to host them yourself. Therefore, copy all .wasm and .onnx files to your public path `$PUBLIC_PATH` and reconfigure the library.
+
+```shell
+cp node_modules/@imgly/background-removal/dist/*.wasm $PUBLIC_PATH
+cp node_modules/@imgly/background-removal/dist/*.onnx $PUBLIC_PATH
+```
+
+```typescript
+import imglyRemoveBackground, {Config} from "@imgly/background-removal"
+
+const public_path = "https://example.com/assets/" ; // the path assets are served from
+
+let config: Config = {
+ publicPath: public_path, // path to the wasm files
+};
+
+let image_src: ImageData | ArrayBuffer | Uint8Array | Blob | URL | string = ...;
+
+imglyRemoveBackground(image_src, config).then((blob: Blob) => {
+ // result is a blob encoded as PNG.
+ // It can be converted to an URL to be used as HTMLImage.src
+ const url = URL.createObjectURL(blob);
+})
+```
+
+### Debug Outputs
+
+Enable debug outputs and logging to the console
+
+```typescript
+let config: Config = {
+ debug: true
+};
+```
+
+### Cross-Origin Resource Sharing (CORS)
+
+If you are running into CORS issues you might want to pass additional parameters to the fetch function via
+
+```typescript
+let config: Config = {
+ fetchArgs: {
+ mode: 'no-cors'
+ }
+};
+```
+
+`fetchArgs` are passed as second parameters to the fetch function as described in [MDN](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API/Using_Fetch).
+
+## Who is it for?
+
+`@imgly/background-removal` is ideal for developers and projects that require efficient and cost-effective background removal directly in the browser. It caters to a wide range of use cases, including but not limited to:
+
+- _E-commerce applications_ that need to remove backgrounds from product images in real time.
+
+- _Image editing applications_ that require background removal capabilities for enhancing user experience.
+
+- _Web-based graphic design tools_ that aim to simplify the creative process with in-browser background removal.
+
+Whether you are a professional developer or a hobbyist, `@imgly/background-removal` empowers you to deliver impressive applications and services with ease.
+
+## License
+
+The software is free for use under the GPL License. Please contact [support@img.ly](mailto:support@img.ly?subject=Background-Removal%20License) for questions about other licensing options.
+
+## Authors & Contributors
+
+This library is made by IMG.LY shipping the world's premier SDKs for building creative applications.
+Start your trial of the [CreativeEditor SDK](https://img.ly/products/creative-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal), [PhotoEditor SDK](https://img.ly/products/photo-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal) & [VideoEditor SDK](https://img.ly/products/video-sdk?utm_source=github&utm_medium=project&utm_campaign=bg-removal).
diff --git a/packages/web/package-lock.json b/packages/web/package-lock.json
new file mode 100644
index 0000000..cc5d659
--- /dev/null
+++ b/packages/web/package-lock.json
@@ -0,0 +1,3561 @@
+{
+ "name": "@imgly/background-removal",
+ "version": "1.1.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "@imgly/background-removal",
+ "version": "1.1.0",
+ "license": "SEE LICENSE IN LICENSE.md",
+ "dependencies": {
+ "onnxruntime-web": "^1.15.1"
+ },
+ "devDependencies": {
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "assert": "^2.0.0",
+ "esbuild": "^0.18.18",
+ "glob": "^10.3.3",
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "npm-dts": "^1.3.12",
+ "process": "^0.11.10",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4",
+ "zod": "^3.21.4"
+ }
+ },
+ "node_modules/@colors/colors": {
+ "version": "1.5.0",
+ "resolved": "https://registry.npmjs.org/@colors/colors/-/colors-1.5.0.tgz",
+ "integrity": "sha512-ooWCrlZP11i8GImSjTHYHLkvFDP48nS4+204nGb1RiX/WXYHmJA2III9/e2DWVabCESdW7hBAEzHRqUn9OUVvQ==",
+ "dev": true,
+ "engines": {
+ "node": ">=0.1.90"
+ }
+ },
+ "node_modules/@dabh/diagnostics": {
+ "version": "2.0.3",
+ "resolved": "https://registry.npmjs.org/@dabh/diagnostics/-/diagnostics-2.0.3.tgz",
+ "integrity": "sha512-hrlQOIi7hAfzsMqlGSFyVucrx38O+j6wiGOf//H2ecvIEqYN4ADBSS2iLMh5UFyDunCNniUIPk/q3riFv45xRA==",
+ "dev": true,
+ "dependencies": {
+ "colorspace": "1.1.x",
+ "enabled": "2.0.x",
+ "kuler": "^2.0.0"
+ }
+ },
+ "node_modules/@discoveryjs/json-ext": {
+ "version": "0.5.7",
+ "resolved": "https://registry.npmjs.org/@discoveryjs/json-ext/-/json-ext-0.5.7.tgz",
+ "integrity": "sha512-dBVuXR082gk3jsFp7Rd/JI4kytwGHecnCoTtXFb7DB6CNHp4rg5k1bhg0nWdLGLnOV71lmDzGQaLMy8iPLY0pw==",
+ "dev": true,
+ "engines": {
+ "node": ">=10.0.0"
+ }
+ },
+ "node_modules/@esbuild/android-arm": {
+ "version": "0.18.18",
+ "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.18.18.tgz",
+ "integrity": "sha512-oBymf7ZwplAawSxmiSlBCf+FMcY0f4bs5QP2jn43JKUf0M9DnrUTjqa5RvFPl1elw+sMfcpfBRPK+rb+E1q7zg==",
+ "cpu": [
+ "arm"
+ ],
+ "dev": true,
+ "optional": true,
+ "os": [
+ "android"
+ ],
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@esbuild/android-arm64": {
+ "version": "0.18.18",
+ "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.18.18.tgz",
+ "integrity": "sha512-dkAPYzRHq3dNXIzOyAknYOzsx8o3KWaNiuu56B2rP9IFPmFWMS58WQcTlUQi6iloku8ZyHHMluCe5sTWhKq/Yw==",
+ "cpu": [
+ "arm64"
+ ],
+ "dev": true,
+ "optional": true,
+ "os": [
+ "android"
+ ],
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@esbuild/android-x64": {
+ "version": "0.18.18",
+ "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.18.18.tgz",
+ "integrity": "sha512-r7/pVcrUQMYkjvtE/1/n6BxhWM+/9tvLxDG1ev1ce4z3YsqoxMK9bbOM6bFcj0BowMeGQvOZWcBV182lFFKmrw==",
+ "cpu": [
+ "x64"
+ ],
+ "dev": true,
+ "optional": true,
+ "os": [
+ "android"
+ ],
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@esbuild/darwin-arm64": {
+ "version": "0.18.18",
+ "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.18.18.tgz",
+ "integrity": "sha512-MSe2iV9MAH3wfP0g+vzN9bp36rtPPuCSk+bT5E2vv/d8krvW5uB/Pi/Q5+txUZuxsG3GcO8dhygjnFq0wJU9hQ==",
+ "cpu": [
+ "arm64"
+ ],
+ "dev": true,
+ "optional": true,
+ "os": [
+ "darwin"
+ ],
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/@esbuild/darwin-x64": {
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+ "dev": true,
+ "engines": {
+ "node": ">=14"
+ }
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+ "resolved": "https://registry.npmjs.org/webpack-merge/-/webpack-merge-5.9.0.tgz",
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+ "dev": true,
+ "dependencies": {
+ "clone-deep": "^4.0.1",
+ "wildcard": "^2.0.0"
+ },
+ "engines": {
+ "node": ">=10.0.0"
+ }
+ },
+ "node_modules/webpack-sources": {
+ "version": "3.2.3",
+ "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.2.3.tgz",
+ "integrity": "sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==",
+ "dev": true,
+ "engines": {
+ "node": ">=10.13.0"
+ }
+ },
+ "node_modules/which": {
+ "version": "2.0.2",
+ "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+ "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+ "dev": true,
+ "dependencies": {
+ "isexe": "^2.0.0"
+ },
+ "bin": {
+ "node-which": "bin/node-which"
+ },
+ "engines": {
+ "node": ">= 8"
+ }
+ },
+ "node_modules/which-typed-array": {
+ "version": "1.1.11",
+ "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.11.tgz",
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+ "dev": true,
+ "dependencies": {
+ "available-typed-arrays": "^1.0.5",
+ "call-bind": "^1.0.2",
+ "for-each": "^0.3.3",
+ "gopd": "^1.0.1",
+ "has-tostringtag": "^1.0.0"
+ },
+ "engines": {
+ "node": ">= 0.4"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/ljharb"
+ }
+ },
+ "node_modules/wildcard": {
+ "version": "2.0.1",
+ "resolved": "https://registry.npmjs.org/wildcard/-/wildcard-2.0.1.tgz",
+ "integrity": "sha512-CC1bOL87PIWSBhDcTrdeLo6eGT7mCFtrg0uIJtqJUFyK+eJnzl8A1niH56uu7KMa5XFrtiV+AQuHO3n7DsHnLQ==",
+ "dev": true
+ },
+ "node_modules/winston": {
+ "version": "3.7.2",
+ "resolved": "https://registry.npmjs.org/winston/-/winston-3.7.2.tgz",
+ "integrity": "sha512-QziIqtojHBoyzUOdQvQiar1DH0Xp9nF1A1y7NVy2DGEsz82SBDtOalS0ulTRGVT14xPX3WRWkCsdcJKqNflKng==",
+ "dev": true,
+ "dependencies": {
+ "@dabh/diagnostics": "^2.0.2",
+ "async": "^3.2.3",
+ "is-stream": "^2.0.0",
+ "logform": "^2.4.0",
+ "one-time": "^1.0.0",
+ "readable-stream": "^3.4.0",
+ "safe-stable-stringify": "^2.3.1",
+ "stack-trace": "0.0.x",
+ "triple-beam": "^1.3.0",
+ "winston-transport": "^4.5.0"
+ },
+ "engines": {
+ "node": ">= 12.0.0"
+ }
+ },
+ "node_modules/winston-transport": {
+ "version": "4.5.0",
+ "resolved": "https://registry.npmjs.org/winston-transport/-/winston-transport-4.5.0.tgz",
+ "integrity": "sha512-YpZzcUzBedhlTAfJg6vJDlyEai/IFMIVcaEZZyl3UXIl4gmqRpU7AE89AHLkbzLUsv0NVmw7ts+iztqKxxPW1Q==",
+ "dev": true,
+ "dependencies": {
+ "logform": "^2.3.2",
+ "readable-stream": "^3.6.0",
+ "triple-beam": "^1.3.0"
+ },
+ "engines": {
+ "node": ">= 6.4.0"
+ }
+ },
+ "node_modules/wrap-ansi": {
+ "version": "8.1.0",
+ "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+ "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+ "dev": true,
+ "dependencies": {
+ "ansi-styles": "^6.1.0",
+ "string-width": "^5.0.1",
+ "strip-ansi": "^7.0.1"
+ },
+ "engines": {
+ "node": ">=12"
+ },
+ "funding": {
+ "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+ }
+ },
+ "node_modules/wrap-ansi-cjs": {
+ "name": "wrap-ansi",
+ "version": "7.0.0",
+ "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+ "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+ "dev": true,
+ "dependencies": {
+ "ansi-styles": "^4.0.0",
+ "string-width": "^4.1.0",
+ "strip-ansi": "^6.0.0"
+ },
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+ }
+ },
+ "node_modules/wrap-ansi-cjs/node_modules/ansi-regex": {
+ "version": "5.0.1",
+ "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+ "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+ "dev": true,
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
+ "version": "8.0.0",
+ "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+ "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+ "dev": true
+ },
+ "node_modules/wrap-ansi-cjs/node_modules/string-width": {
+ "version": "4.2.3",
+ "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+ "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+ "dev": true,
+ "dependencies": {
+ "emoji-regex": "^8.0.0",
+ "is-fullwidth-code-point": "^3.0.0",
+ "strip-ansi": "^6.0.1"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
+ "version": "6.0.1",
+ "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+ "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+ "dev": true,
+ "dependencies": {
+ "ansi-regex": "^5.0.1"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/wrap-ansi/node_modules/ansi-styles": {
+ "version": "6.2.1",
+ "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
+ "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+ "dev": true,
+ "engines": {
+ "node": ">=12"
+ },
+ "funding": {
+ "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+ }
+ },
+ "node_modules/wrappy": {
+ "version": "1.0.2",
+ "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+ "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+ "dev": true
+ },
+ "node_modules/yallist": {
+ "version": "4.0.0",
+ "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
+ "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==",
+ "dev": true
+ },
+ "node_modules/zod": {
+ "version": "3.21.4",
+ "resolved": "https://registry.npmjs.org/zod/-/zod-3.21.4.tgz",
+ "integrity": "sha512-m46AKbrzKVzOzs/DZgVnG5H55N1sv1M8qZU3A8RIKbs3mrACDNeIOeilDymVb2HdmP8uwshOCF4uJ8uM9rCqJw==",
+ "dev": true,
+ "funding": {
+ "url": "https://github.com/sponsors/colinhacks"
+ }
+ }
+ }
+}
diff --git a/packages/web/package.json b/packages/web/package.json
new file mode 100644
index 0000000..8993456
--- /dev/null
+++ b/packages/web/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@imgly/background-removal",
+ "version": "1.1.0",
+ "description": "Background Removal in the Browser",
+ "keywords": [
+ "background-removal",
+ "client-side",
+ "data-privacy",
+ "image-segmentation",
+ "image-matting",
+ "onnx"
+ ],
+ "repository": {
+ "type": "git",
+ "url": "https://github.com/imgly/background-removal-js.git"
+ },
+ "license": "SEE LICENSE IN LICENSE.md",
+ "author": {
+ "name": "IMG.LY GmbH",
+ "email": "support@img.ly",
+ "url": "https://img.ly"
+ },
+ "bugs": {
+ "email": "support@img.ly"
+ },
+ "source": "./src/index.ts",
+ "main": "./dist/index.cjs",
+ "module": "./dist/index.mjs",
+ "browser": "./dist/index.js",
+ "homepage": "https://img.ly/showcases/cesdk/web/background-removal/web",
+ "types": "./dist/index.d.ts",
+ "files": [
+ "LICENSE.md",
+ "README.md",
+ "dist/"
+ ],
+ "scripts": {
+ "start": "npm run watch",
+ "clean": "npx rimraf dist",
+ "test": "true",
+ "resources": "node ../../scripts/package-resources.mjs",
+ "build": "npm run clean && npm run resources && node scripts/build.mjs",
+ "watch": "npm run clean && npm run resources && node scripts/watch.mjs",
+ "publish": "npm run build && npm publish --access public",
+ "lint": "npx prettier --write ."
+ },
+ "dependencies": {
+ "onnxruntime-web": "^1.15.1"
+ },
+ "devDependencies": {
+ "@types/lodash": "^4.14.195",
+ "@types/node": "^20.3.1",
+ "lodash": "^4.17.21",
+ "ndarray": "^1.0.19",
+ "zod": "^3.21.4",
+ "assert": "^2.0.0",
+ "esbuild": "^0.18.18",
+ "glob": "^10.3.3",
+ "npm-dts": "^1.3.12",
+ "process": "^0.11.10",
+ "ts-loader": "^9.4.3",
+ "tslib": "^2.5.3",
+ "typescript": "^5.1.3",
+ "util": "^0.12.5",
+ "webpack": "^5.85.1",
+ "webpack-cli": "^5.1.4"
+ }
+}
diff --git a/packages/web/scripts/build.mjs b/packages/web/scripts/build.mjs
new file mode 100644
index 0000000..8481a29
--- /dev/null
+++ b/packages/web/scripts/build.mjs
@@ -0,0 +1,32 @@
+export { configs };
+
+import * as esbuild from 'esbuild';
+import dts from 'npm-dts';
+
+new dts.Generator({
+ entry: 'src/index.ts',
+ output: 'dist/index.d.ts'
+}).generate();
+
+const configs = [
+ {
+ entryPoints: ['src/index.ts'],
+ bundle: true,
+ sourcemap: true,
+ platform: 'browser',
+ external: ['onnxruntime-web'],
+ format: 'cjs',
+ outfile: 'dist/index.cjs'
+ },
+ {
+ entryPoints: ['src/index.ts'],
+ bundle: true,
+ sourcemap: true,
+ external: ['onnxruntime-web'],
+ platform: 'browser',
+ format: 'esm',
+ outfile: 'dist/index.mjs'
+ }
+];
+
+await configs.map(async (config) => await esbuild.build(config));
diff --git a/packages/web/scripts/watch.mjs b/packages/web/scripts/watch.mjs
new file mode 100644
index 0000000..17a18db
--- /dev/null
+++ b/packages/web/scripts/watch.mjs
@@ -0,0 +1,15 @@
+import * as esbuild from 'esbuild';
+import { configs } from './build.mjs';
+import dts from 'npm-dts';
+
+new dts.Generator({
+ entry: 'src/index.ts',
+ output: 'dist/index.d.ts'
+}).generate();
+
+const contexts = await Promise.all(
+ configs.map((config) => esbuild.context(config))
+);
+
+await Promise.any(contexts.map((ctx) => ctx.watch()));
+console.log('watching...');
diff --git a/packages/web/src/codecs.ts b/packages/web/src/codecs.ts
new file mode 100644
index 0000000..0364055
--- /dev/null
+++ b/packages/web/src/codecs.ts
@@ -0,0 +1,26 @@
+export { imageEncode, imageDecode };
+import { imageBitmapToImageData } from './utils';
+import ndarray, { NdArray } from 'ndarray';
+
+async function imageDecode(blob: Blob): Promise> {
+ const imageBitmap = await createImageBitmap(blob);
+ const imageData = imageBitmapToImageData(imageBitmap);
+ return ndarray(imageData.data, [imageData.height, imageData.width, 4]);
+}
+
+async function imageEncode(
+ imageTensor: NdArray,
+ quality: number = 0.8,
+ type: string = 'image/png'
+): Promise {
+ const [height, width, channels] = imageTensor.shape;
+ const imageData = new ImageData(
+ new Uint8ClampedArray(imageTensor.data),
+ width,
+ height
+ );
+ var canvas = new OffscreenCanvas(imageData.width, imageData.height);
+ var ctx = canvas.getContext('2d')!;
+ ctx.putImageData(imageData, 0, 0);
+ return canvas.convertToBlob({ quality, type });
+}
diff --git a/packages/web/src/feature-detect.js b/packages/web/src/feature-detect.js
new file mode 100644
index 0000000..1df9519
--- /dev/null
+++ b/packages/web/src/feature-detect.js
@@ -0,0 +1,123 @@
+export const bigInt = () =>
+ (async (e) => {
+ try {
+ return (
+ (await WebAssembly.instantiate(e)).instance.exports.b(BigInt(0)) ===
+ BigInt(0)
+ );
+ } catch (e) {
+ return !1;
+ }
+ })(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 6, 1, 96, 1, 126, 1, 126, 3, 2, 1, 0, 7,
+ 5, 1, 1, 98, 0, 0, 10, 6, 1, 4, 0, 32, 0, 11
+ ])
+ ),
+ bulkMemory = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 5, 3, 1, 0,
+ 1, 10, 14, 1, 12, 0, 65, 0, 65, 0, 65, 0, 252, 10, 0, 0, 11
+ ])
+ ),
+ exceptions = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 8, 1, 6,
+ 0, 6, 64, 25, 11, 11
+ ])
+ ),
+ extendedConst = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 5, 3, 1, 0, 1, 11, 9, 1, 0, 65, 1, 65, 2,
+ 106, 11, 0
+ ])
+ ),
+ gc = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 10, 2, 95, 1, 125, 0, 96, 0, 1, 107, 0,
+ 3, 2, 1, 1, 10, 12, 1, 10, 0, 67, 0, 0, 0, 0, 251, 7, 0, 11
+ ])
+ ),
+ memory64 = async () =>
+ WebAssembly.validate(
+ new Uint8Array([0, 97, 115, 109, 1, 0, 0, 0, 5, 3, 1, 4, 1])
+ ),
+ multiValue = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 6, 1, 96, 0, 2, 127, 127, 3, 2, 1, 0,
+ 10, 8, 1, 6, 0, 65, 0, 65, 0, 11
+ ])
+ ),
+ mutableGlobals = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 2, 8, 1, 1, 97, 1, 98, 3, 127, 1, 6, 6, 1,
+ 127, 1, 65, 0, 11, 7, 5, 1, 1, 97, 3, 1
+ ])
+ ),
+ referenceTypes = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 7, 1, 5,
+ 0, 208, 112, 26, 11
+ ])
+ ),
+ relaxedSimd = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 5, 1, 96, 0, 1, 123, 3, 2, 1, 0, 10, 15,
+ 1, 13, 0, 65, 1, 253, 15, 65, 2, 253, 15, 253, 128, 2, 11
+ ])
+ ),
+ saturatedFloatToInt = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 12, 1,
+ 10, 0, 67, 0, 0, 0, 0, 252, 0, 26, 11
+ ])
+ ),
+ signExtensions = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 8, 1, 6,
+ 0, 65, 0, 192, 26, 11
+ ])
+ ),
+ simd = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 5, 1, 96, 0, 1, 123, 3, 2, 1, 0, 10, 10,
+ 1, 8, 0, 65, 0, 253, 15, 253, 98, 11
+ ])
+ ),
+ streamingCompilation = () =>
+ (async () => 'compileStreaming' in WebAssembly)(),
+ tailCall = async () =>
+ WebAssembly.validate(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 10, 6, 1, 4,
+ 0, 18, 0, 11
+ ])
+ ),
+ threads = () =>
+ (async (e) => {
+ try {
+ return (
+ 'undefined' != typeof MessageChannel &&
+ new MessageChannel().port1.postMessage(new SharedArrayBuffer(1)),
+ WebAssembly.validate(e)
+ );
+ } catch (e) {
+ return !1;
+ }
+ })(
+ new Uint8Array([
+ 0, 97, 115, 109, 1, 0, 0, 0, 1, 4, 1, 96, 0, 0, 3, 2, 1, 0, 5, 4, 1, 3,
+ 1, 1, 10, 11, 1, 9, 0, 65, 0, 254, 16, 2, 0, 26, 11
+ ])
+ );
diff --git a/packages/web/src/index.ts b/packages/web/src/index.ts
new file mode 100644
index 0000000..9e8760f
--- /dev/null
+++ b/packages/web/src/index.ts
@@ -0,0 +1,142 @@
+// Imports
+import { initInference, runInference } from './inference';
+import { Config, ApiFunctionSchrema } from './schema';
+import * as utils from './utils';
+import { NdArray } from 'ndarray';
+import * as codecs from './codecs';
+import { memoize } from 'lodash';
+import { ensureAbsoluteURI } from './url';
+import { ZodError } from 'zod';
+
+type ImageSource = ImageData | ArrayBuffer | Uint8Array | Blob | URL | string;
+
+const init = memoize(initInference, (config) => JSON.stringify(config));
+
+// https://www.rfc-editor.org/rfc/rfc7807
+
+// application/problem+json
+/**
+ *
+ {
+ "type": "https://example.com/probs/out-of-credit",
+ "title": "You do not have enough credit.",
+ "detail": "Your current balance is 30, but that costs 50.",
+ "instance": "/account/12345/msgs/abc",
+ "balance": 30,
+ "accounts": ["/account/12345",
+ "/account/67890"]
+ }
+ */
+
+class Rfc7807Error extends Error {
+ title: string;
+ status: number;
+ detail: string;
+ instance: string;
+ params?: [{ path: string, reason: string }]
+}
+
+class UbqError extends Error {
+ title: string;
+ status: number;
+ detail: string;
+ instance: string;
+ params?: [{ path: string, reason: string }]
+}
+class StripeError extends Error {
+ type: string;
+ code: string;
+ message: string
+}
+
+class RemoveBackgroundError extends Error {
+ code: "ValidationError" | "UnhandledError";
+ constructor(code: string, message: string = "") {
+ super()
+
+ }
+}
+
+class ValidationError extends RemoveBackgroundError {
+ constructor(message: string = "") {
+ super("ValidationError", message)
+ }
+}
+
+class UnhandledError extends RemoveBackgroundError {
+ constructor(message: string = "") {
+ super("UnhandledError", message)
+ }
+}
+
+
+async function removeBackground(image: ImageSource, configuration: Config = {}) {
+ try {
+ return await ApiFunctionSchrema.strictImplement(removeBackgroundImplementation)(image, configuration);
+ } catch (e) {
+ if (e instanceof ZodError) {
+ debugger
+ for (let issue of e.issues) {
+
+ console.log(issue.code);
+
+ console.log(issue.argumentsError)
+ }
+ throw new ValidationError(e.message);
+ }
+ throw new UnhandledError(e.message);
+ }
+}
+
+async function removeBackgroundImplementation(
+ image: ImageSource,
+ configuration?: Config
+): Promise {
+ const { config, session } = await init(configuration);
+
+ if (config.debug) {
+ config.progress =
+ config.progress ??
+ ((key, current, total) => {
+ console.debug(`Downloading ${key}: ${current} of ${total}`);
+ });
+
+ if (window && !window.crossOriginIsolated) {
+ console.debug(
+ 'Cross-Origin-Isolated is not enabled. Performance will be degraded. Please see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/SharedArrayBuffer.'
+ );
+ }
+ }
+
+ image = await imageSourceToImageData(image, config);
+
+ const outImageTensor = await runInference(image, config, session);
+ return await utils.imageEncode(outImageTensor);
+}
+
+async function imageSourceToImageData(
+ image: ImageSource,
+ config: Config
+): Promise> {
+ if (typeof image === 'string') {
+ image = ensureAbsoluteURI(image, config.publicPath);
+ image = new URL(image);
+ }
+ if (image instanceof URL) {
+ const response = await fetch(image, {});
+ image = await response.blob();
+ }
+ if (image instanceof ArrayBuffer || ArrayBuffer.isView(image)) {
+ image = new Blob([image]);
+ }
+ if (image instanceof Blob) {
+ image = await codecs.imageDecode(image);
+ }
+
+ return image as NdArray;
+}
+
+// Exports
+export default removeBackground;
+export type { ImageSource, Config };
+export { removeBackground };
diff --git a/packages/web/src/inference.ts b/packages/web/src/inference.ts
new file mode 100644
index 0000000..2df45de
--- /dev/null
+++ b/packages/web/src/inference.ts
@@ -0,0 +1,58 @@
+export { initInference, runInference };
+
+import { tensorResize, tensorHWCtoBCHW } from './utils';
+import { createOnnxSession, runOnnxSession } from './onnx';
+import { calculateProportionalSize } from './utils';
+import { Config } from './schema';
+
+import { loadAsBlob } from './resource';
+import ndarray, { NdArray } from 'ndarray';
+
+async function initInference(config: Config) {
+
+ if (config.debug) console.debug('Loading model...');
+ const model = config.model;
+ const blob = await loadAsBlob(`/models/${model}`, config);
+ const arrayBuffer = await blob.arrayBuffer();
+ const session = await createOnnxSession(arrayBuffer, config);
+ return { config, session };
+}
+
+async function runInference(
+ imageTensor: NdArray,
+ config: Config,
+ session: any
+): Promise> {
+ if (config.progress) config.progress('compute:inference', 0, 1);
+ const resolution = 1024;
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ let tensorImage = await tensorResize(imageTensor, resolution, resolution);
+ const inputTensor = tensorHWCtoBCHW(tensorImage);
+ const predictionsDict = await runOnnxSession(
+ session,
+ [['input', inputTensor]],
+ ['output']
+ );
+
+ const stride = resolution * resolution;
+
+ for (let i = 0; i < 4 * stride; i += 4) {
+ let idx = i / 4;
+ let alpha = predictionsDict[0].data[idx];
+ tensorImage.data[i + 3] = alpha * 255;
+ }
+
+ const [width, height] = calculateProportionalSize(
+ srcWidth,
+ srcHeight,
+ resolution,
+ resolution
+ );
+
+ const dst_width = Math.min(width, srcWidth);
+ const dst_height = Math.min(height, srcHeight);
+
+ tensorImage = await tensorResize(tensorImage, dst_width, dst_height);
+ if (config.progress) config.progress('compute:inference', 1, 1);
+ return ndarray(tensorImage.data, [dst_height, dst_width, 4]);
+}
diff --git a/packages/web/src/onnx.ts b/packages/web/src/onnx.ts
new file mode 100644
index 0000000..2c565ba
--- /dev/null
+++ b/packages/web/src/onnx.ts
@@ -0,0 +1,95 @@
+export { createOnnxSession, runOnnxSession };
+
+import ndarray, { NdArray } from 'ndarray';
+import * as ort from 'onnxruntime-web';
+import { loadAsUrl } from './resource';
+import { simd, threads } from './feature-detect';
+import { Config } from './schema';
+
+async function createOnnxSession(model: any, config: Config) {
+ const capabilities = {
+ simd: await simd(),
+ threads: await threads(),
+ numThreads: navigator.hardwareConcurrency ?? 4,
+ // @ts-ignore
+ webgpu: navigator.gpu !== undefined
+ };
+ if (config.debug) {
+ console.debug('Capabilities:', capabilities);
+ ort.env.debug = true;
+ ort.env.logLevel = 'verbose';
+ }
+
+ ort.env.wasm.numThreads = capabilities.numThreads;
+ ort.env.wasm.simd = capabilities.simd;
+ ort.env.wasm.proxy = config.proxyToWorker;
+
+ ort.env.wasm.wasmPaths = {
+ 'ort-wasm-simd-threaded.wasm':
+ capabilities.simd && capabilities.threads
+ ? await loadAsUrl(
+ '/onnxruntime-web/ort-wasm-simd-threaded.wasm',
+ config
+ )
+ : undefined,
+ 'ort-wasm-simd.wasm':
+ capabilities.simd && !capabilities.threads
+ ? await loadAsUrl('onnxruntime-web/ort-wasm-simd.wasm', config)
+ : undefined,
+ 'ort-wasm-threaded.wasm':
+ !capabilities.simd && capabilities.threads
+ ? await loadAsUrl('/onnxruntime-web/ort-wasm-threaded.wasm', config)
+ : undefined,
+ 'ort-wasm.wasm':
+ !capabilities.simd && !capabilities.threads
+ ? await loadAsUrl('/onnxruntime-web/ort-wasm.wasm', config)
+ : undefined
+ };
+
+ if (config.debug) {
+ console.debug('ort.env.wasm:', ort.env.wasm);
+ }
+
+ const ort_config: ort.InferenceSession.SessionOptions = {
+ executionProviders: ['wasm'],
+ graphOptimizationLevel: 'all',
+ executionMode: 'parallel',
+ enableCpuMemArena: true
+ };
+
+ const session = await ort.InferenceSession.create(model, ort_config).catch(
+ (e: any) => {
+ throw new Error(
+ `Failed to create session: ${e}. Please check if the publicPath is set correctly.`
+ );
+ }
+ );
+ return session;
+}
+
+async function runOnnxSession(
+ session: any,
+ inputs: [string, NdArray][],
+ outputs: [string]
+) {
+ const feeds: Record = {};
+ for (const [key, tensor] of inputs) {
+ feeds[key] = new ort.Tensor(
+ 'float32',
+ new Float32Array(tensor.data),
+ tensor.shape
+ );
+ }
+ const outputData = await session.run(feeds, {});
+ const outputKVPairs: NdArray[] = [];
+
+ for (const key of outputs) {
+ const output: ort.Tensor = outputData[key];
+ const shape: Number[] = output.dims as number[];
+ const data: Float32Array = output.data as Float32Array;
+ const tensor = ndarray(data, shape);
+ outputKVPairs.push(tensor);
+ }
+
+ return outputKVPairs;
+}
diff --git a/packages/web/src/resource.ts b/packages/web/src/resource.ts
new file mode 100644
index 0000000..20ccd6e
--- /dev/null
+++ b/packages/web/src/resource.ts
@@ -0,0 +1,76 @@
+export { loadAsBlob, loadAsUrl };
+
+import { Config } from './schema';
+
+async function loadAsUrl(url: string, config: Config) {
+ return URL.createObjectURL(await loadAsBlob(url, config));
+}
+
+async function loadAsBlob(key: string, config: Config) {
+ // load resource metadata
+ const resourceUrl = new URL('resources.json', config.publicPath);
+ const resourceResponse = await fetch(resourceUrl);
+ if (!resourceResponse.ok) {
+ throw new Error(
+ `Resource metadata not found. Ensure that the config.publicPath is configured correctly.`
+ );
+ }
+ const resourceMap = await resourceResponse.json();
+ const entry = resourceMap[key];
+
+ if (!entry) {
+ throw new Error(
+ `Resource ${key} not found. Ensure that the config.publicPath is configured correctly.`
+ );
+ }
+
+ let urls = Object.keys(entry.chunks);
+
+ const allChunks = await Promise.all(
+ urls.map(async (url) => {
+ if (config.publicPath) {
+ url = new URL(url, config.publicPath).toString();
+ }
+ const response = await fetch(url, config.fetchArgs);
+
+ const chunks = config.progress
+ ? await fetchChunked(response, entry, config, key)
+ : [await response.blob()];
+ return chunks;
+ })
+ );
+
+ const chunks = allChunks.flat();
+ const data = new Blob(chunks, { type: entry.mime });
+ if (data.size !== entry.size) {
+ throw new Error(
+ `Failed to fetch ${key} with size ${entry.size} but got ${data.size}`
+ );
+ }
+ return data;
+}
+
+async function fetchChunked(
+ response: Response,
+ entry: any,
+ config: Config,
+ key: string
+) {
+ const reader = response.body!.getReader();
+ // let contentLength = Number(response.headers.get('Content-Length'));
+ const contentLength = entry.size ?? 0;
+ let receivedLength = 0;
+
+ let chunks: Uint8Array[] = [];
+ while (true) {
+ const { done, value } = await reader.read();
+ if (done) {
+ break;
+ }
+ chunks.push(value);
+ receivedLength += value.length;
+ if (config.progress)
+ config.progress(`fetch:${key}`, receivedLength, contentLength);
+ }
+ return chunks;
+}
diff --git a/packages/web/src/schema.ts b/packages/web/src/schema.ts
new file mode 100644
index 0000000..c743f9d
--- /dev/null
+++ b/packages/web/src/schema.ts
@@ -0,0 +1,41 @@
+export { ApiFunctionSchrema, type Config };
+
+import { z } from 'zod';
+
+import pkg from '../package.json';
+
+const ConfigSchema = z
+ .object({
+ publicPath: z
+ .string()
+ .optional()
+ .describe('The public path to the wasm files and the onnx model.')
+ .default(`https://unpkg.com/${pkg.name}@${pkg.version}/dist/`),
+ debug: z
+ .boolean()
+ .default(false)
+ .describe('Whether to enable debug logging.'),
+ proxyToWorker: z
+ .boolean()
+ .default(true)
+ .describe('Whether to proxy inference to a web worker.'),
+ fetchArgs: z
+ .object({})
+ .default({})
+ .describe('Arguments to pass to fetch when loading the model.'),
+ progress: z
+ .function()
+ .args(z.string(), z.number(), z.number())
+ .returns(z.undefined())
+ .describe('Progress callback.')
+ .optional(),
+ model: z.enum(['small', 'medium']).default('medium')
+ })
+ .default({});
+
+
+const ImageSourceSchema = z.instanceof(ImageData).or(z.instanceof(ArrayBuffer)).or(z.instanceof(Uint8Array)).or(z.instanceof(Blob)).or(z.instanceof(URL)).or(z.string())
+const ApiFunctionSchrema = z.function().args(ImageSourceSchema, ConfigSchema).returns(z.promise(z.instanceof(Blob)));
+
+type Config = z.infer;
+
diff --git a/packages/web/src/url.ts b/packages/web/src/url.ts
new file mode 100644
index 0000000..8176954
--- /dev/null
+++ b/packages/web/src/url.ts
@@ -0,0 +1,17 @@
+export { isAbsoluteURI, ensureAbsoluteURI };
+
+function isAbsoluteURI(url: string): boolean {
+ const regExp = new RegExp('^(?:[a-z+]+:)?//', 'i');
+ return regExp.test(url); // true - regular http absolute URL
+}
+
+const isNode = typeof window === 'undefined';
+const isBrowser = typeof window !== 'undefined';
+
+function ensureAbsoluteURI(url: string, baseUrl: string): string {
+ if (isAbsoluteURI(url)) {
+ return url;
+ } else {
+ return new URL(url, baseUrl).href;
+ }
+}
diff --git a/packages/web/src/utils.ts b/packages/web/src/utils.ts
new file mode 100644
index 0000000..2e8550a
--- /dev/null
+++ b/packages/web/src/utils.ts
@@ -0,0 +1,123 @@
+export {
+ imageDecode,
+ imageEncode,
+ tensorResize,
+ tensorHWCtoBCHW,
+ imageBitmapToImageData,
+ calculateProportionalSize
+};
+
+import ndarray, { NdArray } from 'ndarray';
+import { imageDecode, imageEncode } from './codecs';
+
+function imageBitmapToImageData(imageBitmap: ImageBitmap): ImageData {
+ var canvas = new OffscreenCanvas(imageBitmap.width, imageBitmap.height);
+ var ctx = canvas.getContext('2d')!;
+ ctx.drawImage(imageBitmap, 0, 0);
+ return ctx.getImageData(0, 0, canvas.width, canvas.height);
+}
+
+async function tensorResize(
+ imageTensor: NdArray,
+ newWidth: number,
+ newHeight: number
+): Promise> {
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ // Calculate the scaling factors
+ const scaleX = srcWidth / newWidth;
+ const scaleY = srcHeight / newHeight;
+
+ // Create a new NdArray to store the resized image
+ const resizedImageData = ndarray(
+ new Uint8Array(srcChannels * newWidth * newHeight),
+ [newHeight, newWidth, srcChannels]
+ );
+ // Perform interpolation to fill the resized NdArray
+ for (let y = 0; y < newHeight; y++) {
+ for (let x = 0; x < newWidth; x++) {
+ for (let c = 0; c < srcChannels; c++) {
+ const srcX = x * scaleX;
+ const srcY = y * scaleY;
+ const x1 = Math.floor(srcX);
+ const x2 = Math.ceil(srcX);
+ const y1 = Math.floor(srcY);
+ const y2 = Math.ceil(srcY);
+
+ const dx = srcX - x1;
+ const dy = srcY - y1;
+
+ const p1 = imageTensor.get(y1, x1, c);
+ const p2 = imageTensor.get(y1, x2, c);
+ const p3 = imageTensor.get(y2, x1, c);
+ const p4 = imageTensor.get(y2, x2, c);
+
+ // Perform bilinear interpolation
+ const interpolatedValue =
+ (1 - dx) * (1 - dy) * p1 +
+ dx * (1 - dy) * p2 +
+ (1 - dx) * dy * p3 +
+ dx * dy * p4;
+
+ resizedImageData.set(y, x, c, Math.round(interpolatedValue));
+ }
+ }
+ }
+
+ return resizedImageData;
+}
+
+// async function tensorResize(
+// imageTensor: NdArray,
+// newWidth: number,
+// newHeight: number
+// ): Promise> {
+// const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+// const imageData = new ImageData(imageTensor.data, srcWidth, srcHeight);
+// const bitmap = await createImageBitmap(imageData, {
+// resizeWidth: newWidth,
+// resizeHeight: newHeight,
+// resizeQuality: 'high',
+// premultiplyAlpha: 'premultiply'
+// });
+// const outImageData = imageBitmapToImageData(bitmap);
+// return ndarray(outImageData.data, [
+// outImageData.height,
+// outImageData.width,
+// 4
+// ]);
+// }
+
+function tensorHWCtoBCHW(
+ imageTensor: NdArray,
+ mean: number[] = [128, 128, 128],
+ std: number[] = [256, 256, 256]
+): NdArray {
+ var imageBufferData = imageTensor.data;
+ const [srcHeight, srcWidth, srcChannels] = imageTensor.shape;
+ const stride = srcHeight * srcWidth;
+ const float32Data = new Float32Array(3 * stride);
+
+ // r_0, r_1, .... g_0,g_1, .... b_0
+ for (let i = 0, j = 0; i < imageBufferData.length; i += 4, j += 1) {
+ float32Data[j] = (imageBufferData[i] - mean[0]) / std[0];
+ float32Data[j + stride] = (imageBufferData[i + 1] - mean[1]) / std[1];
+ float32Data[j + stride + stride] =
+ (imageBufferData[i + 2] - mean[2]) / std[2];
+ }
+
+ return ndarray(float32Data, [1, 3, srcHeight, srcWidth]);
+}
+
+function calculateProportionalSize(
+ originalWidth: number,
+ originalHeight: number,
+ maxWidth: number,
+ maxHeight: number
+): [number, number] {
+ const widthRatio = maxWidth / originalWidth;
+ const heightRatio = maxHeight / originalHeight;
+ const scalingFactor = Math.min(widthRatio, heightRatio);
+ const newWidth = Math.floor(originalWidth * scalingFactor);
+ const newHeight = Math.floor(originalHeight * scalingFactor);
+ return [newWidth, newHeight];
+}
diff --git a/packages/web/tsconfig.json b/packages/web/tsconfig.json
new file mode 100644
index 0000000..c8994f3
--- /dev/null
+++ b/packages/web/tsconfig.json
@@ -0,0 +1,9 @@
+{
+ "compilerOptions": {
+ "lib": ["DOM", "ES2020"],
+ "resolveJsonModule": true,
+ "esModuleInterop": true,
+ "emitDeclarationOnly": true,
+ "declaration": true
+ }
+}
diff --git a/scripts/package-resources.mjs b/scripts/package-resources.mjs
new file mode 100644
index 0000000..cabf68d
--- /dev/null
+++ b/scripts/package-resources.mjs
@@ -0,0 +1,191 @@
+export default main;
+import crypto from 'node:crypto';
+import fs from 'node:fs';
+import path from 'node:path';
+
+import { globSync } from 'glob';
+
+// All paths are relative to the directory of this file
+const BaseDir = path.resolve('.');
+const DefaultOutDir = path.resolve('./dist');
+const DefaultEntry = {
+ mime: 'application/octet-stream',
+ transform: calculateSHA256
+};
+
+async function calculateSHA256(filePath) {
+ return new Promise((resolve, reject) => {
+ const hash = crypto.createHash('sha256');
+ const stream = fs.createReadStream(filePath);
+
+ stream.on('data', (data) => hash.update(data));
+ stream.on('end', () => resolve(hash.digest('hex')));
+ stream.on('error', (error) => reject(error));
+ });
+}
+
+async function copyFile(sourcePath, destinationPath) {
+ return new Promise((resolve, reject) => {
+ const readStream = fs.createReadStream(sourcePath);
+ const writeStream = fs.createWriteStream(destinationPath);
+
+ readStream.on('error', (error) => reject(error));
+ writeStream.on('error', (error) => reject(error));
+ writeStream.on('finish', () => resolve());
+ readStream.pipe(writeStream);
+ });
+}
+
+async function linkFile(sourcePath, destinationPath) {
+ return new Promise((resolve, reject) => {
+ fs.symlink(sourcePath, destinationPath, (error) => {
+ if (error) {
+ reject(error);
+ } else {
+ resolve();
+ }
+ });
+ });
+}
+
+async function deleteFile(filePath) {
+ return new Promise((resolve, reject) => {
+ fs.unlink(filePath, (error) => {
+ if (error) {
+ if (error.code === 'ENOENT') {
+ // File doesn't exist, resolve without an error.
+ resolve();
+ } else {
+ // Other error occurred, reject with the error.
+ reject(error);
+ }
+ } else {
+ // File deleted successfully.
+ resolve();
+ }
+ });
+ });
+}
+
+function isFileHidden(filePath) {
+ const fileName = path.basename(filePath);
+ return fileName.startsWith('.'); // || isHiddenOnWindows(filePath);
+}
+
+async function listAllFiles(dir) {
+ return new Promise((resolve, reject) => {
+ const allFiles = [];
+
+ function traverse(currentDir) {
+ fs.readdirSync(currentDir).forEach((file) => {
+ const filePath = path.join(currentDir, file);
+ const stat = fs.statSync(filePath);
+
+ if (stat.isFile()) {
+ allFiles.push(filePath);
+ } else if (stat.isDirectory()) {
+ traverse(filePath);
+ }
+ });
+ }
+
+ try {
+ traverse(dir);
+ resolve(allFiles);
+ } catch (error) {
+ reject(error);
+ }
+ });
+}
+
+function fileExists(filePath) {
+ return fs.existsSync(filePath);
+}
+
+async function sizeFile(filePath) {
+ return new Promise((resolve, reject) => {
+ fs.stat(filePath, (error, stats) => {
+ if (error) {
+ reject(error);
+ } else {
+ resolve(stats.size);
+ }
+ });
+ });
+}
+
+function isFunction(variable) {
+ return typeof variable === 'function';
+}
+
+async function transform(fileName, entry) {
+ // console.log(entry)
+ const fileHash = await entry.transform(fileName);
+ const fileSize = await sizeFile(fileName);
+ const destFile = path.resolve(DefaultOutDir, fileHash);
+ await deleteFile(destFile);
+ await copyFile(fileName, destFile);
+ const chunks = {};
+ chunks[fileHash] = { range: [0, fileSize - 1] };
+ return {
+ chunks: chunks,
+ size: fileSize,
+ mime: entry.mime
+ };
+}
+
+async function loadConfig() {
+ if (fileExists(path.resolve(BaseDir, '.resources.mjs'))) {
+ const resources = await import(path.resolve(BaseDir, '.resources.mjs'));
+ const entries = resources.default;
+ return entries;
+ }
+ return { files };
+}
+
+async function main() {
+ fs.mkdirSync(DefaultOutDir, { recursive: true });
+ const resources = await generateFiles();
+
+ await saveResourceMetadata(resources);
+}
+
+async function generateFiles() {
+ const filesToProcess = {};
+ const entries = await loadConfig();
+ for (const entry of entries) {
+ const entryPath = path.resolve(BaseDir, entry.source);
+ const candidates = await globSync(entryPath, { nodir: true });
+ if (candidates.length === 0) {
+ console.error(`No files found for ${entry.source}`);
+ process.exit(-1);
+ }
+
+ for (const candidate of candidates) {
+ filesToProcess[candidate] = { ...DefaultEntry, ...entry };
+ }
+ }
+ return filesToProcess;
+}
+async function loadResourceMetadata() {
+ const resourceMetadataFile = path.resolve(DefaultOutDir, 'resources.json');
+ if (fileExists(resourceMetadataFile)) {
+ return JSON.parse(fs.readFileSync(resourceMetadataFile, 'utf8'));
+ }
+ return [];
+}
+async function saveResourceMetadata(filesToProcess) {
+ const resourcesMetadata = {};
+ for (const fileToProcess of Object.keys(filesToProcess)) {
+ const entry = filesToProcess[fileToProcess];
+ const metadata = await transform(fileToProcess, entry, DefaultOutDir);
+ const key = path.join(entry.path, fileToProcess.split('/').pop());
+ resourcesMetadata[key] = metadata;
+ }
+ fs.writeFileSync(
+ path.resolve(DefaultOutDir, 'resources.json'),
+ JSON.stringify(resourcesMetadata, null, 2)
+ );
+}
+
+main(process.argv);
diff --git a/scripts/package-version.mjs b/scripts/package-version.mjs
new file mode 100644
index 0000000..62cc594
--- /dev/null
+++ b/scripts/package-version.mjs
@@ -0,0 +1,28 @@
+import fs from 'node:fs';
+import path from 'node:path';
+import { globSync } from 'glob';
+
+const workspaceManifest = JSON.parse(fs.readFileSync('./package.json', 'utf8'));
+const newVersion = process.argv[2] || workspaceManifest.version || undefined;
+
+function getFiles(dir) {
+ return globSync(path.join(dir, '**/package.json'), {
+ nodir: true,
+ ignore: ['**/node_modules/**']
+ });
+}
+
+for (let file of getFiles('./')) {
+ const fileContent = fs.readFileSync(file, 'utf8').toString();
+ const manifest = JSON.parse(fileContent, 'utf8');
+
+ if (newVersion && manifest.version !== newVersion) {
+ console.info(
+ `${manifest.name}@${manifest.version} => ${manifest.name}@${newVersion}`
+ );
+ manifest.version = newVersion;
+ fs.writeFileSync(file, JSON.stringify(manifest, null, 2));
+ } else {
+ console.info(`${manifest.name}@${manifest.version}`);
+ }
+}
diff --git a/src/browser.ts b/src/browser.ts
deleted file mode 100644
index deedf11..0000000
--- a/src/browser.ts
+++ /dev/null
@@ -1,66 +0,0 @@
-// Exports
-export default removeBackground;
-export type { ImageSource, Config };
-
-// Imports
-import { runInference } from './inference';
-import { Config, validateConfig } from './schema';
-import { createOnnxRuntime } from './ort-web-rt';
-import * as utils from './utils';
-import * as Bundle from './bundle';
-import { Imports } from './tensor';
-
-import { memoize } from 'lodash';
-
-type ImageSource = ImageData | ArrayBuffer | Uint8Array | Blob | URL | string;
-
-async function createSession(config: Config, imports: Imports) {
- if (config.debug) console.debug('Loading model...');
- const model = config.model;
- const blob = await Bundle.load(model, config);
- const arrayBuffer = await blob.arrayBuffer();
- const session = await imports.createSession(arrayBuffer);
- return session;
-}
-
-async function _init(config?: Config) {
- config = validateConfig(config);
- const imports = createOnnxRuntime(config);
- const session = await createSession(config, imports);
- return { config, imports, session };
-}
-
-const init = memoize(_init, (config) => JSON.stringify(config));
-
-async function removeBackground(
- image: ImageSource,
- configuration?: Config
-): Promise {
- const { config, imports, session } = await init(configuration);
-
- if (config.debug) {
- config.progress =
- config.progress ??
- ((key, current, total) => {
- console.debug(`Downloading ${key}: ${current} of ${total}`);
- });
-
- if (!crossOriginIsolated) {
- console.debug(
- 'Cross-Origin-Isolated is not enabled. Performance will be degraded. Please see https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/SharedArrayBuffer.'
- );
- }
- }
-
- image = await utils.imageSourceToImageData(image);
-
- if (!(image instanceof ImageData)) {
- throw new Error(
- 'Image not an ImageData | ArrayBuffer | Uint8Array | Blob | URL | string'
- );
- }
-
- const imageData = await runInference(image, config, imports, session);
-
- return await utils.imageEncode(imageData);
-}
diff --git a/src/bundle.ts b/src/bundle.ts
deleted file mode 100644
index afbf060..0000000
--- a/src/bundle.ts
+++ /dev/null
@@ -1,139 +0,0 @@
-export { preload, load };
-
-import { Config } from './schema';
-
-type Entry = {
- url: string;
- size: number;
- mime: string;
-};
-const bundle: Map = new Map([
- [
- 'small',
- {
- url: require('../bundle/models/7001d60734fdc112dd9c062635fb59cd401fb82a9d4213134bce4dbd655c803a.onnx'),
- size: 44342436,
- mime: 'application/octet-stream'
- }
- ],
- [
- 'medium',
- {
- url: require('../bundle/models/b6e8497ba978a6f5fbb647e419d2696cd80df5a23cb6a8ea532021911bd76acb.onnx'),
- size: 88188479,
- mime: 'application/octet-stream'
- }
- ],
- // [
- // 'large',
- // {
- // url: require('../bundle/models/17b7466d93bb60b0e88affa2b0e8b3eee309c7de183d394ce4b956339ebd95e6.onnx'),
- // size: 176173887,
- // mime: 'application/octet-stream'
- // }
- // ],
- [
- 'ort-wasm-simd-threaded.jsep.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm-simd-threaded.jsep.wasm'),
- size: 18215132,
- mime: 'application/wasm'
- }
- ],
- [
- 'ort-wasm-simd.jsep.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm-simd.jsep.wasm'),
- size: 16836274,
- mime: 'application/wasm'
- }
- ],
- [
- 'ort-wasm-simd-threaded.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm-simd-threaded.wasm'),
- size: 10281838,
- mime: 'application/wasm'
- }
- ],
- [
- 'ort-wasm-simd.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm-simd.wasm'),
- size: 10335238,
- mime: 'application/wasm'
- }
- ],
- [
- 'ort-wasm-threaded.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm-threaded.wasm'),
- size: 9413659,
- mime: 'application/wasm'
- }
- ],
- [
- 'ort-wasm.wasm',
- {
- url: require('../node_modules/onnxruntime-web/dist/ort-wasm.wasm'),
- size: 9487920,
- mime: 'application/wasm'
- }
- ]
-]);
-
-async function load(key: string, config: Config) {
- const entry = bundle.get(key)!;
- let url = entry.url;
- if (config.publicPath) {
- url = new URL(url.split('/').pop()!, config.publicPath).toString();
- }
-
- const response = await fetch(url, config.fetchArgs);
-
- const chunks = config.progress
- ? await fetchChunked(response, entry, config, key)
- : [await response.blob()];
-
- const data = new Blob(chunks, { type: entry.mime });
- if (data.size !== entry.size) {
- throw new Error(
- `Failed to fetch ${key} with size ${entry.size} but got ${data.size}`
- );
- }
- return data;
-}
-
-async function fetchChunked(
- response: Response,
- entry: any,
- config: Config,
- key: string
-) {
- const reader = response.body!.getReader();
- // let contentLength = Number(response.headers.get('Content-Length'));
- const contentLength = entry.size ?? 0;
- let receivedLength = 0;
-
- let chunks: Uint8Array[] = [];
- while (true) {
- const { done, value } = await reader.read();
- if (done) {
- break;
- }
- chunks.push(value);
- receivedLength += value.length;
- if (config.progress)
- config.progress(`fetch:${key}`, receivedLength, contentLength);
- }
- return chunks;
-}
-
-async function preload(config: Config) {
- // This will warmup the caches
- let result = new Map(bundle);
- result.forEach(async (_, key) => {
- await load(key, config);
- });
- return result;
-}
diff --git a/src/inference.ts b/src/inference.ts
deleted file mode 100644
index 1dabdad..0000000
--- a/src/inference.ts
+++ /dev/null
@@ -1,48 +0,0 @@
-import { imageDataResize, imageDataToFloat32Array } from './utils';
-import { Imports } from './tensor';
-import { calculateProportionalSize } from './utils';
-import { Config } from './schema';
-
-export async function runInference(
- imageData: ImageData,
- config: Config,
- imports: Imports,
- session: any
-): Promise {
- if (config.progress) config.progress('compute:inference', 0, 1);
- const resolution = 1024;
- const src_width = imageData.width;
- const src_height = imageData.height;
-
- const dims = [1, 3, resolution, resolution];
- let tensorImage = await imageDataResize(imageData, resolution, resolution);
- const inputTensorData = imageDataToFloat32Array(tensorImage);
-
- const predictionsDict = await imports.runSession(
- session,
- [['input', { data: inputTensorData, shape: dims, dataType: 'float32' }]],
- ['output']
- );
-
- const stride = resolution * resolution;
-
- for (let i = 0; i < 4 * stride; i += 4) {
- let idx = i / 4;
- let alpha = predictionsDict[0].data[idx];
- tensorImage.data[i + 3] = alpha * 255;
- }
-
- const [width, height] = calculateProportionalSize(
- imageData.width,
- imageData.height,
- resolution,
- resolution
- );
-
- const dst_width = Math.min(width, src_width);
- const dst_height = Math.min(height, src_height);
-
- tensorImage = await imageDataResize(tensorImage, dst_width, dst_height);
- if (config.progress) config.progress('compute:inference', 1, 1);
- return tensorImage;
-}
diff --git a/src/ort-web-rt.ts b/src/ort-web-rt.ts
deleted file mode 100644
index 32576cf..0000000
--- a/src/ort-web-rt.ts
+++ /dev/null
@@ -1,110 +0,0 @@
-export { createOnnxRuntime };
-
-import { simd, threads } from 'wasm-feature-detect';
-import { Tensor, Imports } from './tensor';
-
-import * as ort from 'onnxruntime-web';
-import * as Bundle from './bundle';
-
-function createOnnxRuntime(config: any): Imports {
- return {
- createSession: async (model: any) => {
- const capabilities = {
- simd: await simd(),
- threads: await threads(),
- SharedArrayBuffer: typeof SharedArrayBuffer !== 'undefined',
- numThreads: navigator.hardwareConcurrency ?? 4,
- // @ts-ignore
- webgpu: navigator.gpu !== undefined
- };
- if (config.debug) {
- console.debug('Capabilities:', capabilities);
- ort.env.debug = true;
- ort.env.logLevel = 'verbose';
- }
-
- ort.env.wasm.numThreads = capabilities.numThreads;
- ort.env.wasm.simd = capabilities.simd;
- ort.env.wasm.proxy = config.proxyToWorker;
- ort.env.wasm.wasmPaths = {
- // 'ort-wasm-simd-threaded.jsep.wasm': URL.createObjectURL(
- // await Bundle.load('ort-wasm-simd-threaded.jsep.wasm', config)
- // ),
- // 'ort-wasm-simd.jsep.wasm': URL.createObjectURL(
- // await Bundle.load('ort-wasm-simd.jsep.wasm', config)
- // ),
- 'ort-wasm-simd-threaded.wasm': URL.createObjectURL(
- await Bundle.load('ort-wasm-simd-threaded.wasm', config)
- ),
- 'ort-wasm-simd.wasm': URL.createObjectURL(
- await Bundle.load('ort-wasm-simd.wasm', config)
- ),
- 'ort-wasm-threaded.wasm': URL.createObjectURL(
- await Bundle.load('ort-wasm-threaded.wasm', config)
- ),
- 'ort-wasm.wasm': URL.createObjectURL(
- await Bundle.load('ort-wasm.wasm', config)
- )
- };
-
- if (config.debug) {
- console.debug('ort.env.wasm:', ort.env.wasm);
- }
-
- const ort_config: ort.InferenceSession.SessionOptions = {
- executionProviders: ['wasm'],
- graphOptimizationLevel: 'all',
- executionMode: 'parallel',
- enableCpuMemArena: true
- };
-
- const session = await ort.InferenceSession.create(
- model,
- ort_config
- ).catch((e: any) => {
- throw new Error(
- `Failed to create session: ${e}. Please check if the publicPath is set correctly.`
- );
- });
-
- // URL.revokeObjectURL(ort.env.wasm.wasmPaths['ort-wasm-simd-threaded.jsep.wasm']!);
- // URL.revokeObjectURL(ort.env.wasm.wasmPaths['ort-wasm-simd.jsep.wasm']!);
- URL.revokeObjectURL(
- ort.env.wasm.wasmPaths['ort-wasm-simd-threaded.wasm']!
- );
- URL.revokeObjectURL(ort.env.wasm.wasmPaths['ort-wasm-simd.wasm']!);
- URL.revokeObjectURL(ort.env.wasm.wasmPaths['ort-wasm-threaded.wasm']!);
- URL.revokeObjectURL(ort.env.wasm.wasmPaths['ort-wasm.wasm']!);
-
- return session;
- },
- runSession: async (
- session: any,
- inputs: [string, Tensor][],
- outputs: [string]
- ) => {
- const feeds: Record = {};
- for (const [key, tensor] of inputs) {
- feeds[key] = new ort.Tensor(
- 'float32',
- new Float32Array(tensor.data),
- tensor.shape
- );
- }
- const outputData = await session.run(feeds, {});
- const outputKVPairs: Tensor[] = [];
-
- for (const key of outputs) {
- let output: ort.Tensor = outputData[key];
- let tensor: Tensor = {
- data: output.data as Float32Array,
- shape: output.dims as number[],
- dataType: 'float32'
- };
- outputKVPairs.push(tensor);
- }
-
- return outputKVPairs;
- }
- };
-}
diff --git a/src/tensor.ts b/src/tensor.ts
deleted file mode 100644
index 9784158..0000000
--- a/src/tensor.ts
+++ /dev/null
@@ -1,13 +0,0 @@
-export type Tensor = {
- shape: number[];
- data: Float32Array;
- dataType: 'float32';
-};
-export type Imports = {
- createSession: (model: any) => Promise;
- runSession(
- session: any,
- inputs: [string, Tensor][],
- outputs: [string]
- ): Promise;
-};
diff --git a/src/utils.ts b/src/utils.ts
deleted file mode 100644
index 87319ab..0000000
--- a/src/utils.ts
+++ /dev/null
@@ -1,122 +0,0 @@
-export {
- imageDecode,
- imageEncode,
- imageBitmapToImageData,
- imageDataResize,
- imageDataToFloat32Array,
- calculateProportionalSize,
- isAbsoluteURL,
- ensureAbsoluteURL,
- imageSourceToImageData
-};
-
-async function imageDecode(blob: Blob): Promise {
- const imageBitmap = await createImageBitmap(blob);
- const imageData = imageBitmapToImageData(imageBitmap);
- return imageData;
-}
-
-async function imageEncode(
- imageData: ImageData,
- quality: number = 0.8,
- type: string = 'image/png'
-): Promise {
- var canvas = new OffscreenCanvas(imageData.width, imageData.height);
- var ctx = canvas.getContext('2d')!;
- ctx.putImageData(imageData, 0, 0);
- return canvas.convertToBlob({ quality, type });
-}
-
-function imageBitmapToImageData(imageBitmap: ImageBitmap): ImageData {
- var canvas = new OffscreenCanvas(imageBitmap.width, imageBitmap.height);
- var ctx = canvas.getContext('2d')!;
-
- // Draw the ImageBitmap onto the canvas
- ctx.drawImage(imageBitmap, 0, 0);
-
- // Retrieve the ImageData from the canvas
- return ctx.getImageData(0, 0, canvas.width, canvas.height);
-}
-
-async function imageDataResize(
- imageData: ImageData,
- newWidth: number,
- newHeight: number
-): Promise {
- const bitmap = await createImageBitmap(imageData, {
- resizeWidth: newWidth,
- resizeHeight: newHeight,
- resizeQuality: 'high',
- premultiplyAlpha: 'premultiply'
- });
- return imageBitmapToImageData(bitmap);
-}
-
-function imageDataToFloat32Array(
- image: ImageData,
- mean: number[] = [128, 128, 128],
- std: number[] = [256, 256, 256]
-): Float32Array {
- var imageBufferData = image.data;
-
- const stride = image.width * image.height;
- const float32Data = new Float32Array(3 * stride);
-
- // r_0, r_1, .... g_0,g_1, .... b_0
- for (let i = 0, j = 0; i < imageBufferData.length; i += 4, j += 1) {
- float32Data[j] = (imageBufferData[i] - mean[0]) / std[0];
- float32Data[j + stride] = (imageBufferData[i + 1] - mean[1]) / std[1];
- float32Data[j + stride + stride] =
- (imageBufferData[i + 2] - mean[2]) / std[2];
- }
-
- return float32Data;
-}
-
-function calculateProportionalSize(
- originalWidth: number,
- originalHeight: number,
- maxWidth: number,
- maxHeight: number
-): [number, number] {
- const widthRatio = maxWidth / originalWidth;
- const heightRatio = maxHeight / originalHeight;
- const scalingFactor = Math.min(widthRatio, heightRatio);
- const newWidth = Math.floor(originalWidth * scalingFactor);
- const newHeight = Math.floor(originalHeight * scalingFactor);
- return [newWidth, newHeight];
-}
-
-function isAbsoluteURL(url: string): boolean {
- const regExp = new RegExp('^(?:[a-z+]+:)?//', 'i');
- return regExp.test(url); // true - regular http absolute URL
-}
-
-function ensureAbsoluteURL(url: string): string {
- if (isAbsoluteURL(url)) {
- return url;
- } else {
- return new URL(url, window.location.href).href;
- }
-}
-
-async function imageSourceToImageData(
- image: string | URL | ArrayBuffer | ImageData | Blob | Uint8Array
-) {
- if (typeof image === 'string') {
- image = ensureAbsoluteURL(image);
- image = new URL(image);
- }
- if (image instanceof URL) {
- const response = await fetch(image, {});
- image = await response.blob();
- }
- if (image instanceof ArrayBuffer || ArrayBuffer.isView(image)) {
- image = new Blob([image]);
- }
- if (image instanceof Blob) {
- image = await imageDecode(image);
- }
-
- return image as ImageData;
-}
diff --git a/tsconfig.json b/tsconfig.json
deleted file mode 100644
index 0127baf..0000000
--- a/tsconfig.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
- "include": ["src", "types"],
- "compilerOptions": {
- "module": "esnext",
- "lib": ["DOM", "esnext"],
- "importHelpers": true,
- "declaration": true,
- "sourceMap": true,
- "outDir": "./dist",
- "strict": true,
- "noImplicitReturns": true,
- "noFallthroughCasesInSwitch": true,
- "noUnusedLocals": true,
- "noUnusedParameters": true,
- "moduleResolution": "node",
- "jsx": "react",
- "esModuleInterop": true,
- "skipLibCheck": true,
- "forceConsistentCasingInFileNames": true
- }
-}
diff --git a/webpack.config.js b/webpack.config.js
deleted file mode 100644
index dcfce48..0000000
--- a/webpack.config.js
+++ /dev/null
@@ -1,98 +0,0 @@
-const path = require('path');
-const pkg = require('./package.json');
-
-module.exports = (env, argv) => {
- const isDevelopment = argv.mode === 'development';
- const publicPath = isDevelopment
- ? undefined
- : `https://unpkg.com/${pkg.name}@${pkg.version}/dist/`;
-
- const commonConfig = {
- devtool: 'source-map',
- module: {
- rules: [
- {
- test: /\.tsx?$/,
- use: 'ts-loader',
- exclude: /node_modules/
- },
- {
- test: /\.(png|jpeg|jpg)$/i,
- type: 'asset/resource',
- generator: {
- publicPath: publicPath
- }
- },
- {
- test: /\.(onnx)$/i,
- type: 'asset/resource',
- generator: {
- publicPath: publicPath
- }
- },
- {
- test: /\.(wasm)$/i,
- type: 'asset/resource',
- generator: {
- publicPath: publicPath
- }
- }
- ]
- },
- resolve: {
- extensions: ['.ts', '.js']
- },
- optimization: {
- splitChunks: {
- chunks: 'async'
- }
- }
- };
- const umdConfig = {
- ...commonConfig,
- entry: './src/browser.ts',
- target: 'web',
- output: {
- filename: 'browser.js',
- path: path.resolve(__dirname, 'dist'),
- publicPath: publicPath,
- library: {
- type: 'umd',
- name: 'backgroundRemoval'
- }
- }
- };
-
- const esmConfig = {
- ...commonConfig,
- experiments: {
- outputModule: true // needed for esm
- },
- entry: './src/browser.ts',
- target: 'web',
- output: {
- filename: 'browser.mjs',
- path: path.resolve(__dirname, 'dist'),
- publicPath: publicPath,
- library: {
- type: 'module'
- }
- }
- };
-
- const nodeConfig = {
- ...commonConfig,
- entry: './src/node.ts',
- target: 'node',
- output: {
- filename: 'node.js',
- path: path.resolve(__dirname, 'dist'),
- library: {
- type: 'umd',
- name: 'backgroundRemoval'
- }
- }
- };
-
- return [umdConfig, esmConfig];
-};