diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 748b4f796..f249057cd 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -68,6 +68,7 @@ /rust/dip721-nft-container/ @dfinity/sdk /rust/encrypted-notes-dapp-vetkd/ @dfinity/dept-crypto-library /rust/encrypted-notes-dapp/ @dfinity/dept-crypto-library +/rust/face-recognition/ @dfinity/runtime /rust/guards/ @dfinity/cross-chain-team /rust/hello/ @dfinity/sdk /rust/icp_transfer/ @dfinity/growth diff --git a/.github/workflows/rust-face-recognition-example.yaml b/.github/workflows/rust-face-recognition-example.yaml new file mode 100644 index 000000000..3c1fc31bb --- /dev/null +++ b/.github/workflows/rust-face-recognition-example.yaml @@ -0,0 +1,48 @@ +name: rust-face-recognition +on: + push: + branches: + - master + pull_request: + paths: + - rust/face-recognition/** + - .github/workflows/provision-darwin.sh + - .github/workflows/provision-linux.sh + - .github/workflows/rust-face-recognition-example.yaml + - .ic-commit +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true +jobs: + rust-face-recognition-example-darwin: + runs-on: macos-12 + steps: + - uses: actions/checkout@v1 + - name: Provision Darwin + run: DFX_VERSION="0.20.2-beta.0" bash .github/workflows/provision-darwin.sh + - name: Remove networks.json + run: rm -f ~/.config/dfx/networks.json + - name: Rust Face Recognition Darwin + run: | + dfxvm install 0.22.0-beta.0 + dfx start --background + pushd rust/face-recognition + npm install + dfx deploy --yes + popd + rust-face-recognition-example-linux: + runs-on: ubuntu-20.04 + steps: + - uses: actions/checkout@v1 + - name: Provision Linux + run: DFX_VERSION="0.20.2-beta.0" bash .github/workflows/provision-linux.sh + - name: Remove networks.json + run: rm -f ~/.config/dfx/networks.json + - name: Rust Face Recognition Linux + run: | + dfxvm install 0.22.0-beta.0 + dfx start --background + pushd rust/face-recognition + npm install + dfx deploy --yes + popd diff 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000000000..1305fc352 --- /dev/null +++ b/rust/face-recognition/README.md @@ -0,0 +1,105 @@ +# ICP Face Recognition + +This is an ICP smart contract runs face detection and face recognition of user's photo that can be uploaded either from a camera or a local file. + +The smart contract consists of two canisters: + +- the backend canister embeds the [the Tract ONNX inference engine](https://github.com/sonos/tract) with two ONNX models. One model is used to detect a face in the photo and return its bounding box. Another model is used for computing face embeddings. +- the frontend canister contains the Web assets such as HTML, JS, CSS that are served to the browser. + +# Models + +The smart contract uses two models: one for detecting the face and another for recognizing the face. + +## Face detection + +A face detection model finds the bounding box of a face in the image. +You can download [Ultraface](https://github.com/onnx/models/tree/main/validated/vision/body_analysis/ultraface) - ultra-lightweight face detection model - [[here](https://github.com/onnx/models/blob/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/body_analysis/ultraface/models/version-RFB-320.onnx)]. + +Alternatively, you can run +``` +./download-face-detection-model.sh +``` + +## Face recognition + +A face recognition model computes a vector embedding of an image with a face. +You can obtain a pretrained model from [facenet-pytorch](https://github.com/timesler/facenet-pytorch) as follows. + + +1. Install `python` and `pip`: https://packaging.python.org/en/latest/tutorials/installing-packages/. + +2. Install `facenet-pytorch` and `torch`: +``` +pip install facenet-pytorch +pip install torch +pip install onnx +``` + +3. Export ONNX model. Start a python shell and run the following commands or create a python file and run it: +``` +import torch +import facenet_pytorch +resnet = facenet_pytorch.InceptionResnetV1(pretrained='vggface2').eval() +input = torch.randn(1, 3, 160, 160) +torch.onnx.export(resnet, input, "face-recognition.onnx", verbose=False, opset_version=11) +``` + +4. This should produce `face-recognition.onnx`. Copy the file to the root of this repository. + +# Dependencies + +Install `dfx`, Rust, etc: https://internetcomputer.org/docs/current/developer-docs/getting-started/hello-world + +Install `wasi2ic`: +- Follow the steps in https://github.com/wasm-forge/wasi2ic +- Make sure that `wasi2ic` binary is in your `$PATH`. + +Install NodeJS dependencies for the frontend: + +``` +npm install +``` + +Install `wasm-opt`: + +``` +cargo install wasm-opt +``` + +# Build + +``` +dfx start --background +dfx deploy +``` + +If the deployment is successful, the it will show the `frontend` URL. +Open that URL in browser to interact with the smart contract. + +# Chunk uploading of models + +Since the models are large, they cannot be embedded into the Wasm binary of the smart contract. +Instead they should be uploaded separately. + +[DecideAI](https://decideai.xyz/) implemented a tool for incremental uploading of models: https://github.com/modclub-app/ic-file-uploader/tree/main. + +You can install the tool with + +``` +cargo install ic-file-uploader +``` + +Afterwards, execute the `upload-models-to-canister.sh` script, which runs the following commands: +``` +dfx canister call backend clear_face_detection_model_bytes +dfx canister call backend clear_face_recognition_model_bytes +ic-file-uploader backend append_face_detection_model_bytes version-RFB-320.onnx +ic-file-uploader backend append_face_recognition_model_bytes face-recognition.onnx +dfx canister call backend setup_models +``` + +# Credits + +Thanks to [DecideAI](https://decideai.xyz/) for discussions and providing [ic-file-uploader](https://github.com/modclub-app/ic-file-uploader/tree/main). + diff --git a/rust/face-recognition/build.sh b/rust/face-recognition/build.sh new file mode 100755 index 000000000..157830603 --- /dev/null +++ b/rust/face-recognition/build.sh @@ -0,0 +1,8 @@ +#!/bin/bash +set -ex + +export RUSTFLAGS=$RUSTFLAGS' -C target-feature=+simd128' +cargo build --release --target=wasm32-wasi +wasi2ic ./target/wasm32-wasi/release/backend.wasm ./target/wasm32-wasi/release/backend-ic.wasm +wasm-opt -Os --enable-simd --enable-bulk-memory -o ./target/wasm32-wasi/release/backend-ic.wasm \ + ./target/wasm32-wasi/release/backend-ic.wasm diff --git a/rust/face-recognition/dfx.json b/rust/face-recognition/dfx.json new file mode 100644 index 000000000..f65ea3f85 --- /dev/null +++ b/rust/face-recognition/dfx.json @@ -0,0 +1,38 @@ +{ + "canisters": { + "backend": { + "metadata": [ + { + "name": "candid:service" + } + ], + "candid": "src/backend/backend.did", + "package": "backend", + "type": "custom", + "wasm": "target/wasm32-wasi/release/backend-ic.wasm", + "build": [ "bash build.sh" ] + }, + "frontend": { + "dependencies": [ + "backend" + ], + "frontend": { + "entrypoint": "src/frontend/src/index.html" + }, + "source": [ + "src/frontend/assets", + "dist/frontend/" + ], + "type": "assets" + } + }, + "dfx": "0.22.0-beta.0", + "defaults": { + "build": { + "args": "", + "packtool": "" + } + }, + "output_env_file": ".env", + "version": 1 +} diff --git a/rust/face-recognition/download-face-detection-model.sh b/rust/face-recognition/download-face-detection-model.sh new file mode 100755 index 000000000..3aea8a061 --- /dev/null +++ b/rust/face-recognition/download-face-detection-model.sh @@ -0,0 +1,20 @@ +#!/bin/bash +set -e + +ULTRAFACE_URL="https://github.com/onnx/models/raw/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/body_analysis/ultraface/models/version-RFB-320.onnx" +ULTRAFACE_TGT="version-RFB-320.onnx" + +echo "Downloading ${ULTRAFACE_TGT}..." +if [ -s "${ULTRAFACE_TGT}" ]; then + echo " (cached)" + exit 0 +fi + +if which wget >/dev/null; then + wget $ULTRAFACE_URL -O $ULTRAFACE_TGT +elif which curl >/dev/null; then + curl -vL $ULTRAFACE_URL -o $ULTRAFACE_TGT +else + echo "Couldn't find wget or curl." + echo "Please download manually from \"$ULTRAFACE_URL\" and save the file in $ULTRAFACE_TGT." +fi diff --git a/rust/face-recognition/package-lock.json 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000000000..82bd21c99 --- /dev/null +++ b/rust/face-recognition/package.json @@ -0,0 +1,48 @@ +{ + "name": "icp_detect", + "version": "0.2.0", + "description": "Internet Computer starter application", + "keywords": [ + "Internet Computer", + "Motoko", + "JavaScript", + "Canister" + ], + "scripts": { + "build": "webpack", + "prebuild": "dfx generate", + "start": "webpack serve --mode development --env development", + "deploy:local": "dfx deploy --network=local", + "deploy:ic": "dfx deploy --network=ic", + "generate": "dfx generate backend" + }, + "dependencies": { + "@dfinity/agent": "^0.18.1", + "@dfinity/candid": "^0.18.1", + "@dfinity/principal": "^0.18.1" + }, + "devDependencies": { + "assert": "2.0.0", + "buffer": "6.0.3", + "copy-webpack-plugin": "^11.0.0", + "dotenv": "^16.0.3", + "events": "3.3.0", + "html-webpack-plugin": "5.5.0", + "process": "0.11.10", + "stream-browserify": "3.0.0", + "terser-webpack-plugin": "^5.3.3", + "util": "0.12.4", + "webpack": "^5.73.0", + "webpack-cli": "^4.10.0", + "webpack-dev-server": "^4.8.1" + }, + "engines": { + "node": "^12 || ^14 || ^16 || ^18 || ^21" + }, + "browserslist": [ + "last 2 chrome version", + "last 2 firefox version", + "last 2 safari version", + "last 2 edge version" + ] +} \ No newline at end of file diff --git a/rust/face-recognition/rust-toolchain.toml b/rust/face-recognition/rust-toolchain.toml new file mode 100644 index 000000000..0ecadb670 --- /dev/null +++ b/rust/face-recognition/rust-toolchain.toml @@ -0,0 +1,4 @@ +[toolchain] +channel = "1.79" +targets = ["wasm32-unknown-unknown", "wasm32-wasi"] +components = ["rustfmt", "clippy"] diff --git a/rust/face-recognition/src/backend/Cargo.toml b/rust/face-recognition/src/backend/Cargo.toml new file mode 100644 index 000000000..bf9676ca0 --- /dev/null +++ b/rust/face-recognition/src/backend/Cargo.toml @@ -0,0 +1,22 @@ +[package] +edition = "2021" +name = "backend" +version = "1.1.0" + +[lib] +crate-type = ["cdylib"] + +[dependencies] +anyhow = "1.0" +bytes = "1.5.0" +candid = "0.10" +colorgrad = "0.6" +ic-cdk = "0.14.0" +ic-stable-structures = "0.6" +ic-wasi-polyfill = "0.4.1" +image = { version = "0.25.1", features = ["png"], default-features = false } +prost = "0.11.0" +prost-types = "0.11.0" +serde = { version = "1.0", features = ["derive"] } +tract-onnx = { git = "https://github.com/sonos/tract", rev = "2a2914ac29390cc08963301c9f3d437b52dd321a" } + diff --git a/rust/face-recognition/src/backend/assets/image.png b/rust/face-recognition/src/backend/assets/image.png new file mode 100644 index 000000000..f8b5d2c8a Binary files /dev/null and b/rust/face-recognition/src/backend/assets/image.png differ diff --git a/rust/face-recognition/src/backend/assets/logo_transparent.png b/rust/face-recognition/src/backend/assets/logo_transparent.png new file mode 100644 index 000000000..94b22ca99 Binary files /dev/null and b/rust/face-recognition/src/backend/assets/logo_transparent.png differ diff --git a/rust/face-recognition/src/backend/backend.did b/rust/face-recognition/src/backend/backend.did new file mode 100644 index 000000000..944ed2256 --- /dev/null +++ b/rust/face-recognition/src/backend/backend.did @@ -0,0 +1,51 @@ +type BoundingBox = record { + left: float32; + top: float32; + right: float32; + bottom: float32; +}; + +type Embedding = record { + v0: vec float32; +}; + +type Person = record { + label: text; + score: float32; +}; + +type Detection = variant { + Ok: BoundingBox; + Err: Error; +}; + +type Addition = variant { + Ok: Embedding; + Err: Error; +}; + +type Recognition = variant { + Ok: Person; + Err: Error; +}; + +type Error = record { + message: text; +}; + +service : { + "detect": (image: blob) -> (Detection) query; + "recognize": (image: blob) -> (Recognition); + "add": (label: text, image: blob) -> (Addition); + + // These endpoints are used for incremental uploading of model files. + "clear_face_detection_model_bytes": () -> (); + "clear_face_recognition_model_bytes": () -> (); + "append_face_detection_model_bytes": (bytes: blob) -> (); + "append_face_recognition_model_bytes": (bytes: blob) -> (); + "setup_models": () -> (); + + // These endpoints are used only for testing and benchmarking. + "run_detection": () -> (Detection) query; + "run_recognition": () -> (Recognition); +} \ No newline at end of file diff --git a/rust/face-recognition/src/backend/src/benchmarking.rs b/rust/face-recognition/src/backend/src/benchmarking.rs new file mode 100644 index 000000000..63373151b --- /dev/null +++ b/rust/face-recognition/src/backend/src/benchmarking.rs @@ -0,0 +1,43 @@ +// The code below is used for testing and benchmarking. + +use crate::{onnx, Detection, Error, Recognition}; + +const IMAGE: &'static [u8] = include_bytes!("../assets/image.png"); + +/// Formats thousands for the specified `u64` integer (helper function). +fn fmt(n: u64) -> String { + n.to_string() + .as_bytes() + .rchunks(3) + .rev() + .map(std::str::from_utf8) + .collect::, _>>() + .unwrap() + .join("_") +} + +#[ic_cdk::query] +fn run_detection() -> Detection { + let result = match onnx::detect(IMAGE.to_vec()) { + Ok(result) => Detection::Ok(result.0), + Err(err) => Detection::Err(Error { + message: err.to_string(), + }), + }; + let instructions = ic_cdk::api::performance_counter(0); + ic_cdk::println!("Executed instructions: {}", fmt(instructions)); + result +} + +#[ic_cdk::update] +fn run_recognition() -> Recognition { + let result = match onnx::recognize(IMAGE.to_vec()) { + Ok(result) => Recognition::Ok(result), + Err(err) => Recognition::Err(Error { + message: err.to_string(), + }), + }; + let instructions = ic_cdk::api::performance_counter(0); + ic_cdk::println!("Executed instructions: {}", fmt(instructions)); + result +} diff --git a/rust/face-recognition/src/backend/src/lib.rs b/rust/face-recognition/src/backend/src/lib.rs new file mode 100644 index 000000000..21202ee35 --- /dev/null +++ b/rust/face-recognition/src/backend/src/lib.rs @@ -0,0 +1,143 @@ +use candid::{CandidType, Deserialize}; +use ic_stable_structures::{ + memory_manager::{MemoryId, MemoryManager}, + DefaultMemoryImpl, +}; + +use onnx::{setup, BoundingBox, Embedding, Person}; +use std::cell::RefCell; + +mod benchmarking; +mod onnx; +mod storage; + +// WASI polyfill requires a virtual stable memory to store the file system. +// You can replace `0` with any index up to `254`. +const WASI_MEMORY_ID: MemoryId = MemoryId::new(0); + +// Files in the WASI filesystem (in the stable memory) that store the models. +const FACE_DETECTION_FILE: &str = "face-detection.onnx"; +const FACE_RECOGNITION_FILE: &str = "face-recognition.onnx"; + +thread_local! { + // The memory manager is used for simulating multiple memories. + static MEMORY_MANAGER: RefCell> = + RefCell::new(MemoryManager::init(DefaultMemoryImpl::default())); +} + +/// An error that is returned to the front-end. +#[derive(CandidType, Deserialize)] +struct Error { + message: String, +} + +/// The result of the face detection endpoint. +#[derive(CandidType, Deserialize)] +enum Detection { + Ok(BoundingBox), + Err(Error), +} + +/// The result of the face addition endpoint. +#[derive(CandidType, Deserialize)] +enum Addition { + Ok(Embedding), + Err(Error), +} + +/// The result of the face recognition endpoint. +#[derive(CandidType, Deserialize)] +enum Recognition { + Ok(Person), + Err(Error), +} + +/// Returns a bounding box around the detected face in the input image. +#[ic_cdk::query] +fn detect(image: Vec) -> Detection { + let result = match onnx::detect(image) { + Ok(result) => Detection::Ok(result.0), + Err(err) => Detection::Err(Error { + message: err.to_string(), + }), + }; + result +} + +/// Performs face recognition and returns the name of the person whose recorded +/// face is closest to the face in the given image. It also returns the distance +/// between the face embeddings. +#[ic_cdk::update] +fn recognize(image: Vec) -> Recognition { + let result = match onnx::recognize(image) { + Ok(result) => Recognition::Ok(result), + Err(err) => Recognition::Err(Error { + message: err.to_string(), + }), + }; + result +} + +/// Adds a person with the given name (label) and face (image) for future +/// face recognition requests. +#[ic_cdk::update] +fn add(label: String, image: Vec) -> Addition { + let result = match onnx::add(label, image) { + Ok(result) => Addition::Ok(result), + Err(err) => Addition::Err(Error { + message: err.to_string(), + }), + }; + result +} + +/// Clears the face detection model file. +/// This is used for incremental chunk uploading of large files. +#[ic_cdk::update] +fn clear_face_detection_model_bytes() { + storage::clear_bytes(FACE_DETECTION_FILE); +} + +/// Clears the face recognition model file. +/// This is used for incremental chunk uploading of large files. +#[ic_cdk::update] +fn clear_face_recognition_model_bytes() { + storage::clear_bytes(FACE_RECOGNITION_FILE); +} + +/// Appends the given chunk to the face detection model file. +/// This is used for incremental chunk uploading of large files. +#[ic_cdk::update] +fn append_face_detection_model_bytes(bytes: Vec) { + storage::append_bytes(FACE_DETECTION_FILE, bytes); +} + +/// Appends the given chunk to the face recognition model file. +/// This is used for incremental chunk uploading of large files. +#[ic_cdk::update] +fn append_face_recognition_model_bytes(bytes: Vec) { + storage::append_bytes(FACE_RECOGNITION_FILE, bytes); +} + +/// Once the model files have been incrementally uploaded, +/// this function loads them into in-memory models. +#[ic_cdk::update] +fn setup_models() -> Result<(), String> { + setup( + storage::bytes(FACE_DETECTION_FILE), + storage::bytes(FACE_RECOGNITION_FILE), + ) + .map_err(|err| format!("Failed to setup model: {}", err)) +} + +#[ic_cdk::init] +fn init() { + let wasi_memory = MEMORY_MANAGER.with(|m| m.borrow().get(WASI_MEMORY_ID)); + ic_wasi_polyfill::init_with_memory(&[0u8; 32], &[], wasi_memory); +} + +#[ic_cdk::post_upgrade] +fn post_upgrade() { + let wasi_memory = MEMORY_MANAGER.with(|m| m.borrow().get(WASI_MEMORY_ID)); + ic_wasi_polyfill::init_with_memory(&[0u8; 32], &[], wasi_memory); +} diff --git a/rust/face-recognition/src/backend/src/onnx.rs b/rust/face-recognition/src/backend/src/onnx.rs new file mode 100644 index 000000000..5cf0406a7 --- /dev/null +++ b/rust/face-recognition/src/backend/src/onnx.rs @@ -0,0 +1,181 @@ +use anyhow::anyhow; +use bytes::Bytes; +use candid::CandidType; +use prost::Message; +use serde::Deserialize; +use std::cell::RefCell; +use tract_ndarray::s; +use tract_onnx::prelude::*; + +// The maximum distance between face embeddings of the same person. +const THRESHOLD: f32 = 0.85; + +type Model = SimplePlan, Graph>>; + +thread_local! { + static FACE_DETECTION: RefCell> = RefCell::new(None); + static FACE_RECOGNITION: RefCell> = RefCell::new(None); + static DB: RefCell> = RefCell::new(vec![]); +} + +#[derive(CandidType, Deserialize, Clone)] +pub struct BoundingBox { + left: f32, + top: f32, + right: f32, + bottom: f32, +} + +impl BoundingBox { + fn new(raw: &[f32]) -> Self { + Self { + left: raw[0], + top: raw[1], + right: raw[2], + bottom: raw[3], + } + } +} + +#[derive(CandidType, Deserialize, Clone)] +pub struct Embedding { + v0: Vec, +} + +impl Embedding { + fn distance(&self, other: &Self) -> f32 { + let result: f32 = self + .v0 + .iter() + .zip(other.v0.iter()) + .map(|(a, b)| (a - b) * (a - b)) + .sum(); + result.sqrt() + } +} + +#[derive(CandidType, Deserialize)] +pub struct Person { + label: String, + score: f32, +} + +fn setup_facedetect(bytes: Bytes) -> TractResult<()> { + let proto: tract_onnx::pb::ModelProto = tract_onnx::pb::ModelProto::decode(bytes)?; + let ultraface = tract_onnx::onnx() + .model_for_proto_model(&proto)? + .into_optimized()? + .into_runnable()?; + FACE_DETECTION.with_borrow_mut(|m| { + *m = Some(ultraface); + }); + Ok(()) +} + +fn setup_facerec(bytes: Bytes) -> TractResult<()> { + let proto: tract_onnx::pb::ModelProto = tract_onnx::pb::ModelProto::decode(bytes)?; + let facerec = tract_onnx::onnx() + .model_for_proto_model(&proto)? + .into_optimized()? + .into_runnable()?; + FACE_RECOGNITION.with_borrow_mut(|m| { + *m = Some(facerec); + }); + Ok(()) +} + +pub fn setup(facedetect: Bytes, facerec: Bytes) -> TractResult<()> { + setup_facedetect(facedetect)?; + setup_facerec(facerec) +} + +/// Returns a bounding box around the face detected in the given image. +pub fn detect(image: Vec) -> Result<(BoundingBox, f32), anyhow::Error> { + FACE_DETECTION.with_borrow(|model| { + let model = model.as_ref().unwrap(); + let image = image::load_from_memory(&image)?.to_rgb8(); + + // The model accepts an image of size 320x240px. + let image = + image::imageops::resize(&image, 320, 240, ::image::imageops::FilterType::Triangle); + + const MEAN: [f32; 3] = [0.485, 0.456, 0.406]; + const STD: [f32; 3] = [0.229, 0.224, 0.225]; + let tensor = tract_ndarray::Array4::from_shape_fn((1, 3, 240, 320), |(_, c, y, x)| { + (image[(x as u32, y as u32)][c] as f32 / 255.0 - MEAN[c]) / STD[c] + }); + + let result = model.run(tvec!(Tensor::from(tensor).into()))?; + + let confidences = result[0] + .to_array_view::()? + .slice(s![0, .., 1]) + .to_vec(); + + let boxes: Vec<_> = result[1].to_array_view::()?.iter().cloned().collect(); + let boxes: Vec<_> = boxes.chunks(4).map(BoundingBox::new).collect(); + let boxes: Vec<_> = boxes.iter().zip(confidences.iter()).collect(); + + let best = boxes + .iter() + .max_by(|a, b| a.1.partial_cmp(b.1).unwrap()) + .ok_or(anyhow!("No face detected"))?; + + let best = (best.0.clone(), best.1.clone()); + Ok(best) + }) +} + +/// Computes a face embedding corresponding to the given image of a face. +pub fn embedding(image: Vec) -> Result { + FACE_RECOGNITION.with_borrow(|model| { + let model = model.as_ref().unwrap(); + let image = image::load_from_memory(&image)?.to_rgb8(); + + // The model accepts an image of size 140x140px. + let image = + image::imageops::resize(&image, 160, 160, ::image::imageops::FilterType::Triangle); + + let tensor = tract_ndarray::Array4::from_shape_fn((1, 3, 160, 160), |(_, c, y, x)| { + image[(x as u32, y as u32)][c] as f32 / 255.0 + }); + + let result = model.run(tvec!(Tensor::from(tensor).into()))?; + + let v0 = result[0] + .to_array_view::()? + .into_iter() + .cloned() + .collect(); + + Ok(Embedding { v0 }) + }) +} + +/// Returns the person whose face embedding is the closest to the face embedding +/// of the given image. +pub fn recognize(image: Vec) -> Result { + let emb = embedding(image)?; + DB.with_borrow(|db| { + let emb = &emb; + let best = db + .iter() + .min_by(|a, b| f32::partial_cmp(&a.1.distance(emb), &b.1.distance(emb)).unwrap()); + let best = best.ok_or(anyhow!("Unknown person"))?.clone(); + let label = best.0; + let score = best.1.distance(emb); + if score > THRESHOLD { + return Err(anyhow!("Unknown person")); + } + Ok(Person { label, score }) + }) +} + +/// Records a new person with the given name and face image into the state. +pub fn add(label: String, image: Vec) -> Result { + let emb = embedding(image)?; + DB.with_borrow_mut(|db| { + db.push((label, emb.clone())); + }); + Ok(emb) +} diff --git a/rust/face-recognition/src/backend/src/storage.rs b/rust/face-recognition/src/backend/src/storage.rs new file mode 100644 index 000000000..b46a126f1 --- /dev/null +++ b/rust/face-recognition/src/backend/src/storage.rs @@ -0,0 +1,20 @@ +use bytes::Bytes; +use std::io::Write; + +pub fn bytes(filename: &str) -> Bytes { + std::fs::read(filename).unwrap().into() +} + +pub fn append_bytes(filename: &str, bytes: Vec) { + let mut file = std::fs::OpenOptions::new() + .create(true) + .append(true) + .open(filename) + .unwrap(); + file.write_all(&bytes).unwrap(); +} + +pub fn clear_bytes(filename: &str) { + // Don't fail if the file doesn't exist. + let _ = std::fs::remove_file(filename); +} diff --git a/rust/face-recognition/src/declarations/backend/backend.did b/rust/face-recognition/src/declarations/backend/backend.did new file mode 100644 index 000000000..944ed2256 --- /dev/null +++ b/rust/face-recognition/src/declarations/backend/backend.did @@ -0,0 +1,51 @@ +type BoundingBox = record { + left: float32; + top: float32; + right: float32; + bottom: float32; +}; + +type Embedding = record { + v0: vec float32; +}; + +type Person = record { + label: text; + score: float32; +}; + +type Detection = variant { + Ok: BoundingBox; + Err: Error; +}; + +type Addition = variant { + Ok: Embedding; + Err: Error; +}; + +type Recognition = variant { + Ok: Person; + Err: Error; +}; + +type Error = record { + message: text; +}; + +service : { + "detect": (image: blob) -> (Detection) query; + "recognize": (image: blob) -> (Recognition); + "add": (label: text, image: blob) -> (Addition); + + // These endpoints are used for incremental uploading of model files. + "clear_face_detection_model_bytes": () -> (); + "clear_face_recognition_model_bytes": () -> (); + "append_face_detection_model_bytes": (bytes: blob) -> (); + "append_face_recognition_model_bytes": (bytes: blob) -> (); + "setup_models": () -> (); + + // These endpoints are used only for testing and benchmarking. + "run_detection": () -> (Detection) query; + "run_recognition": () -> (Recognition); +} \ No newline at end of file diff --git a/rust/face-recognition/src/declarations/backend/backend.did.d.ts b/rust/face-recognition/src/declarations/backend/backend.did.d.ts new file mode 100644 index 000000000..17b40664b --- /dev/null +++ b/rust/face-recognition/src/declarations/backend/backend.did.d.ts @@ -0,0 +1,39 @@ +import type { Principal } from '@dfinity/principal'; +import type { ActorMethod } from '@dfinity/agent'; +import type { IDL } from '@dfinity/candid'; + +export type Addition = { 'Ok' : Embedding } | + { 'Err' : Error }; +export interface BoundingBox { + 'top' : number, + 'left' : number, + 'bottom' : number, + 'right' : number, +} +export type Detection = { 'Ok' : BoundingBox } | + { 'Err' : Error }; +export interface Embedding { 'v0' : Array } +export interface Error { 'message' : string } +export interface Person { 'label' : string, 'score' : number } +export type Recognition = { 'Ok' : Person } | + { 'Err' : Error }; +export interface _SERVICE { + 'add' : ActorMethod<[string, Uint8Array | number[]], Addition>, + 'append_face_detection_model_bytes' : ActorMethod< + [Uint8Array | number[]], + undefined + >, + 'append_face_recognition_model_bytes' : ActorMethod< + [Uint8Array | number[]], + undefined + >, + 'clear_face_detection_model_bytes' : ActorMethod<[], undefined>, + 'clear_face_recognition_model_bytes' : ActorMethod<[], undefined>, + 'detect' : ActorMethod<[Uint8Array | number[]], Detection>, + 'recognize' : ActorMethod<[Uint8Array | number[]], Recognition>, + 'run_detection' : ActorMethod<[], Detection>, + 'run_recognition' : ActorMethod<[], Recognition>, + 'setup_models' : ActorMethod<[], undefined>, +} +export declare const idlFactory: IDL.InterfaceFactory; +export declare const init: (args: { IDL: typeof IDL }) => IDL.Type[]; diff --git a/rust/face-recognition/src/declarations/backend/backend.did.js b/rust/face-recognition/src/declarations/backend/backend.did.js new file mode 100644 index 000000000..d026c3663 --- /dev/null +++ b/rust/face-recognition/src/declarations/backend/backend.did.js @@ -0,0 +1,31 @@ +export const idlFactory = ({ IDL }) => { + const Embedding = IDL.Record({ 'v0' : IDL.Vec(IDL.Float32) }); + const Error = IDL.Record({ 'message' : IDL.Text }); + const Addition = IDL.Variant({ 'Ok' : Embedding, 'Err' : Error }); + const BoundingBox = IDL.Record({ + 'top' : IDL.Float32, + 'left' : IDL.Float32, + 'bottom' : IDL.Float32, + 'right' : IDL.Float32, + }); + const Detection = IDL.Variant({ 'Ok' : BoundingBox, 'Err' : Error }); + const Person = IDL.Record({ 'label' : IDL.Text, 'score' : IDL.Float32 }); + const Recognition = IDL.Variant({ 'Ok' : Person, 'Err' : Error }); + return IDL.Service({ + 'add' : IDL.Func([IDL.Text, IDL.Vec(IDL.Nat8)], [Addition], []), + 'append_face_detection_model_bytes' : IDL.Func([IDL.Vec(IDL.Nat8)], [], []), + 'append_face_recognition_model_bytes' : IDL.Func( + [IDL.Vec(IDL.Nat8)], + [], + [], + ), + 'clear_face_detection_model_bytes' : IDL.Func([], [], []), + 'clear_face_recognition_model_bytes' : IDL.Func([], [], []), + 'detect' : IDL.Func([IDL.Vec(IDL.Nat8)], [Detection], ['query']), + 'recognize' : IDL.Func([IDL.Vec(IDL.Nat8)], [Recognition], []), + 'run_detection' : IDL.Func([], [Detection], ['query']), + 'run_recognition' : IDL.Func([], [Recognition], []), + 'setup_models' : IDL.Func([], [], []), + }); +}; +export const init = ({ IDL }) => { return []; }; diff --git a/rust/face-recognition/src/declarations/backend/index.d.ts b/rust/face-recognition/src/declarations/backend/index.d.ts new file mode 100644 index 000000000..55daa14e7 --- /dev/null +++ b/rust/face-recognition/src/declarations/backend/index.d.ts @@ -0,0 +1,50 @@ +import type { + ActorSubclass, + HttpAgentOptions, + ActorConfig, + Agent, +} from "@dfinity/agent"; +import type { Principal } from "@dfinity/principal"; +import type { IDL } from "@dfinity/candid"; + +import { _SERVICE } from './backend.did'; + +export declare const idlFactory: IDL.InterfaceFactory; +export declare const canisterId: string; + +export declare interface CreateActorOptions { + /** + * @see {@link Agent} + */ + agent?: Agent; + /** + * @see {@link HttpAgentOptions} + */ + agentOptions?: HttpAgentOptions; + /** + * @see {@link ActorConfig} + */ + actorOptions?: ActorConfig; +} + +/** + * Intializes an {@link ActorSubclass}, configured with the provided SERVICE interface of a canister. + * @constructs {@link ActorSubClass} + * @param {string | Principal} canisterId - ID of the canister the {@link Actor} will talk to + * @param {CreateActorOptions} options - see {@link CreateActorOptions} + * @param {CreateActorOptions["agent"]} options.agent - a pre-configured agent you'd like to use. Supercedes agentOptions + * @param {CreateActorOptions["agentOptions"]} options.agentOptions - options to set up a new agent + * @see {@link HttpAgentOptions} + * @param {CreateActorOptions["actorOptions"]} options.actorOptions - options for the Actor + * @see {@link ActorConfig} + */ +export declare const createActor: ( + canisterId: string | Principal, + options?: CreateActorOptions +) => ActorSubclass<_SERVICE>; + +/** + * Intialized Actor using default settings, ready to talk to a canister using its candid interface + * @constructs {@link ActorSubClass} + */ +export declare const backend: ActorSubclass<_SERVICE>; diff --git a/rust/face-recognition/src/declarations/backend/index.js b/rust/face-recognition/src/declarations/backend/index.js new file mode 100644 index 000000000..8def37967 --- /dev/null +++ b/rust/face-recognition/src/declarations/backend/index.js @@ -0,0 +1,42 @@ +import { Actor, HttpAgent } from "@dfinity/agent"; + +// Imports and re-exports candid interface +import { idlFactory } from "./backend.did.js"; +export { idlFactory } from "./backend.did.js"; + +/* CANISTER_ID is replaced by webpack based on node environment + * Note: canister environment variable will be standardized as + * process.env.CANISTER_ID_ + * beginning in dfx 0.15.0 + */ +export const canisterId = + process.env.CANISTER_ID_BACKEND; + +export const createActor = (canisterId, options = {}) => { + const agent = options.agent || new HttpAgent({ ...options.agentOptions }); + + if (options.agent && options.agentOptions) { + console.warn( + "Detected both agent and agentOptions passed to createActor. Ignoring agentOptions and proceeding with the provided agent." + ); + } + + // Fetch root key for certificate validation during development + if (process.env.DFX_NETWORK !== "ic") { + agent.fetchRootKey().catch((err) => { + console.warn( + "Unable to fetch root key. Check to ensure that your local replica is running" + ); + console.error(err); + }); + } + + // Creates an actor with using the candid interface and the HttpAgent + return Actor.createActor(idlFactory, { + agent, + canisterId, + ...options.actorOptions, + }); +}; + +export const backend = canisterId ? createActor(canisterId) : undefined; diff --git a/rust/face-recognition/src/declarations/frontend/frontend.did b/rust/face-recognition/src/declarations/frontend/frontend.did new file mode 100644 index 000000000..51bb1a235 --- /dev/null +++ b/rust/face-recognition/src/declarations/frontend/frontend.did @@ -0,0 +1,262 @@ +type BatchId = nat; +type ChunkId = nat; +type Key = text; +type Time = int; + +type CreateAssetArguments = record { + key: Key; + content_type: text; + max_age: opt nat64; + headers: opt vec HeaderField; + enable_aliasing: opt bool; + allow_raw_access: opt bool; +}; + +// Add or change content for an asset, by content encoding +type SetAssetContentArguments = record { + key: Key; + content_encoding: text; + chunk_ids: vec ChunkId; + sha256: opt blob; +}; + +// Remove content for an asset, by content encoding +type UnsetAssetContentArguments = record { + key: Key; + content_encoding: text; +}; + +// Delete an asset +type DeleteAssetArguments = record { + key: Key; +}; + +// Reset everything +type ClearArguments = record {}; + +type BatchOperationKind = variant { + CreateAsset: CreateAssetArguments; + SetAssetContent: SetAssetContentArguments; + + SetAssetProperties: SetAssetPropertiesArguments; + + UnsetAssetContent: UnsetAssetContentArguments; + DeleteAsset: DeleteAssetArguments; + + Clear: ClearArguments; +}; + +type CommitBatchArguments = record { + batch_id: BatchId; + operations: vec BatchOperationKind +}; + +type CommitProposedBatchArguments = record { + batch_id: BatchId; + evidence: blob; +}; + +type ComputeEvidenceArguments = record { + batch_id: BatchId; + max_iterations: opt nat16 +}; + +type DeleteBatchArguments = record { + batch_id: BatchId; +}; + +type HeaderField = record { text; text; }; + +type HttpRequest = record { + method: text; + url: text; + headers: vec HeaderField; + body: blob; + certificate_version: opt nat16; +}; + +type HttpResponse = record { + status_code: nat16; + headers: vec HeaderField; + body: blob; + streaming_strategy: opt StreamingStrategy; +}; + +type StreamingCallbackHttpResponse = record { + body: blob; + token: opt StreamingCallbackToken; +}; + +type StreamingCallbackToken = record { + key: Key; + content_encoding: text; + index: nat; + sha256: opt blob; +}; + +type StreamingStrategy = variant { + Callback: record { + callback: func (StreamingCallbackToken) -> (opt StreamingCallbackHttpResponse) query; + token: StreamingCallbackToken; + }; +}; + +type SetAssetPropertiesArguments = record { + key: Key; + max_age: opt opt nat64; + headers: opt opt vec HeaderField; + allow_raw_access: opt opt bool; + is_aliased: opt opt bool; +}; + +type ConfigurationResponse = record { + max_batches: opt nat64; + max_chunks: opt nat64; + max_bytes: opt nat64; +}; + +type ConfigureArguments = record { + max_batches: opt opt nat64; + max_chunks: opt opt nat64; + max_bytes: opt opt nat64; +}; + +type Permission = variant { + Commit; + ManagePermissions; + Prepare; +}; + +type GrantPermission = record { + to_principal: principal; + permission: Permission; +}; +type RevokePermission = record { + of_principal: principal; + permission: Permission; +}; +type ListPermitted = record { permission: Permission }; + +type ValidationResult = variant { Ok : text; Err : text }; + +type AssetCanisterArgs = variant { + Init: InitArgs; + Upgrade: UpgradeArgs; +}; + +type InitArgs = record {}; + +type UpgradeArgs = record { + set_permissions: opt SetPermissions; +}; + +/// Sets the list of principals granted each permission. +type SetPermissions = record { + prepare: vec principal; + commit: vec principal; + manage_permissions: vec principal; +}; + +service: (asset_canister_args: opt AssetCanisterArgs) -> { + api_version: () -> (nat16) query; + + get: (record { + key: Key; + accept_encodings: vec text; + }) -> (record { + content: blob; // may be the entirety of the content, or just chunk index 0 + content_type: text; + content_encoding: text; + sha256: opt blob; // sha256 of entire asset encoding, calculated by dfx and passed in SetAssetContentArguments + total_length: nat; // all chunks except last have size == content.size() + }) query; + + // if get() returned chunks > 1, call this to retrieve them. + // chunks may or may not be split up at the same boundaries as presented to create_chunk(). + get_chunk: (record { + key: Key; + content_encoding: text; + index: nat; + sha256: opt blob; // sha256 of entire asset encoding, calculated by dfx and passed in SetAssetContentArguments + }) -> (record { content: blob }) query; + + list : (record {}) -> (vec record { + key: Key; + content_type: text; + encodings: vec record { + content_encoding: text; + sha256: opt blob; // sha256 of entire asset encoding, calculated by dfx and passed in SetAssetContentArguments + length: nat; // Size of this encoding's blob. Calculated when uploading assets. + modified: Time; + }; + }) query; + + certified_tree : (record {}) -> (record { + certificate: blob; + tree: blob; + }) query; + + create_batch : (record {}) -> (record { batch_id: BatchId }); + + create_chunk: (record { batch_id: BatchId; content: blob }) -> (record { chunk_id: ChunkId }); + + // Perform all operations successfully, or reject + commit_batch: (CommitBatchArguments) -> (); + + // Save the batch operations for later commit + propose_commit_batch: (CommitBatchArguments) -> (); + + // Given a batch already proposed, perform all operations successfully, or reject + commit_proposed_batch: (CommitProposedBatchArguments) -> (); + + // Compute a hash over the CommitBatchArguments. Call until it returns Some(evidence). + compute_evidence: (ComputeEvidenceArguments) -> (opt blob); + + // Delete a batch that has been created, or proposed for commit, but not yet committed + delete_batch: (DeleteBatchArguments) -> (); + + create_asset: (CreateAssetArguments) -> (); + set_asset_content: (SetAssetContentArguments) -> (); + unset_asset_content: (UnsetAssetContentArguments) -> (); + + delete_asset: (DeleteAssetArguments) -> (); + + clear: (ClearArguments) -> (); + + // Single call to create an asset with content for a single content encoding that + // fits within the message ingress limit. + store: (record { + key: Key; + content_type: text; + content_encoding: text; + content: blob; + sha256: opt blob + }) -> (); + + http_request: (request: HttpRequest) -> (HttpResponse) query; + http_request_streaming_callback: (token: StreamingCallbackToken) -> (opt StreamingCallbackHttpResponse) query; + + authorize: (principal) -> (); + deauthorize: (principal) -> (); + list_authorized: () -> (vec principal); + grant_permission: (GrantPermission) -> (); + revoke_permission: (RevokePermission) -> (); + list_permitted: (ListPermitted) -> (vec principal); + take_ownership: () -> (); + + get_asset_properties : (key: Key) -> (record { + max_age: opt nat64; + headers: opt vec HeaderField; + allow_raw_access: opt bool; + is_aliased: opt bool; } ) query; + set_asset_properties: (SetAssetPropertiesArguments) -> (); + + get_configuration: () -> (ConfigurationResponse); + configure: (ConfigureArguments) -> (); + + validate_grant_permission: (GrantPermission) -> (ValidationResult); + validate_revoke_permission: (RevokePermission) -> (ValidationResult); + validate_take_ownership: () -> (ValidationResult); + validate_commit_proposed_batch: (CommitProposedBatchArguments) -> (ValidationResult); + validate_configure: (ConfigureArguments) -> (ValidationResult); +} diff --git a/rust/face-recognition/src/declarations/frontend/frontend.did.d.ts b/rust/face-recognition/src/declarations/frontend/frontend.did.d.ts new file mode 100644 index 000000000..ce964689f --- /dev/null +++ b/rust/face-recognition/src/declarations/frontend/frontend.did.d.ts @@ -0,0 +1,240 @@ +import type { Principal } from '@dfinity/principal'; +import type { ActorMethod } from '@dfinity/agent'; +import type { IDL } from '@dfinity/candid'; + +export type AssetCanisterArgs = { 'Upgrade' : UpgradeArgs } | + { 'Init' : InitArgs }; +export type BatchId = bigint; +export type BatchOperationKind = { + 'SetAssetProperties' : SetAssetPropertiesArguments + } | + { 'CreateAsset' : CreateAssetArguments } | + { 'UnsetAssetContent' : UnsetAssetContentArguments } | + { 'DeleteAsset' : DeleteAssetArguments } | + { 'SetAssetContent' : SetAssetContentArguments } | + { 'Clear' : ClearArguments }; +export type ChunkId = bigint; +export type ClearArguments = {}; +export interface CommitBatchArguments { + 'batch_id' : BatchId, + 'operations' : Array, +} +export interface CommitProposedBatchArguments { + 'batch_id' : BatchId, + 'evidence' : Uint8Array | number[], +} +export interface ComputeEvidenceArguments { + 'batch_id' : BatchId, + 'max_iterations' : [] | [number], +} +export interface ConfigurationResponse { + 'max_batches' : [] | [bigint], + 'max_bytes' : [] | [bigint], + 'max_chunks' : [] | [bigint], +} +export interface ConfigureArguments { + 'max_batches' : [] | [[] | [bigint]], + 'max_bytes' : [] | [[] | [bigint]], + 'max_chunks' : [] | [[] | [bigint]], +} +export interface CreateAssetArguments { + 'key' : Key, + 'content_type' : string, + 'headers' : [] | [Array], + 'allow_raw_access' : [] | [boolean], + 'max_age' : [] | [bigint], + 'enable_aliasing' : [] | [boolean], +} +export interface DeleteAssetArguments { 'key' : Key } +export interface DeleteBatchArguments { 'batch_id' : BatchId } +export interface GrantPermission { + 'permission' : Permission, + 'to_principal' : Principal, +} +export type HeaderField = [string, string]; +export interface HttpRequest { + 'url' : string, + 'method' : string, + 'body' : Uint8Array | number[], + 'headers' : Array, + 'certificate_version' : [] | [number], +} +export interface HttpResponse { + 'body' : Uint8Array | number[], + 'headers' : Array, + 'streaming_strategy' : [] | [StreamingStrategy], + 'status_code' : number, +} +export type InitArgs = {}; +export type Key = string; +export interface ListPermitted { 'permission' : Permission } +export type Permission = { 'Prepare' : null } | + { 'ManagePermissions' : null } | + { 'Commit' : null }; +export interface RevokePermission { + 'permission' : Permission, + 'of_principal' : Principal, +} +export interface SetAssetContentArguments { + 'key' : Key, + 'sha256' : [] | [Uint8Array | number[]], + 'chunk_ids' : Array, + 'content_encoding' : string, +} +export interface SetAssetPropertiesArguments { + 'key' : Key, + 'headers' : [] | [[] | [Array]], + 'is_aliased' : [] | [[] | [boolean]], + 'allow_raw_access' : [] | [[] | [boolean]], + 'max_age' : [] | [[] | [bigint]], +} +export interface SetPermissions { + 'prepare' : Array, + 'commit' : Array, + 'manage_permissions' : Array, +} +export interface StreamingCallbackHttpResponse { + 'token' : [] | [StreamingCallbackToken], + 'body' : Uint8Array | number[], +} +export interface StreamingCallbackToken { + 'key' : Key, + 'sha256' : [] | [Uint8Array | number[]], + 'index' : bigint, + 'content_encoding' : string, +} +export type StreamingStrategy = { + 'Callback' : { + 'token' : StreamingCallbackToken, + 'callback' : [Principal, string], + } + }; +export type Time = bigint; +export interface UnsetAssetContentArguments { + 'key' : Key, + 'content_encoding' : string, +} +export interface UpgradeArgs { 'set_permissions' : [] | [SetPermissions] } +export type ValidationResult = { 'Ok' : string } | + { 'Err' : string }; +export interface _SERVICE { + 'api_version' : ActorMethod<[], number>, + 'authorize' : ActorMethod<[Principal], undefined>, + 'certified_tree' : ActorMethod< + [{}], + { 'certificate' : Uint8Array | number[], 'tree' : Uint8Array | number[] } + >, + 'clear' : ActorMethod<[ClearArguments], undefined>, + 'commit_batch' : ActorMethod<[CommitBatchArguments], undefined>, + 'commit_proposed_batch' : ActorMethod< + [CommitProposedBatchArguments], + undefined + >, + 'compute_evidence' : ActorMethod< + [ComputeEvidenceArguments], + [] | [Uint8Array | number[]] + >, + 'configure' : ActorMethod<[ConfigureArguments], undefined>, + 'create_asset' : ActorMethod<[CreateAssetArguments], undefined>, + 'create_batch' : ActorMethod<[{}], { 'batch_id' : BatchId }>, + 'create_chunk' : ActorMethod< + [{ 'content' : Uint8Array | number[], 'batch_id' : BatchId }], + { 'chunk_id' : ChunkId } + >, + 'deauthorize' : ActorMethod<[Principal], undefined>, + 'delete_asset' : ActorMethod<[DeleteAssetArguments], undefined>, + 'delete_batch' : ActorMethod<[DeleteBatchArguments], undefined>, + 'get' : ActorMethod< + [{ 'key' : Key, 'accept_encodings' : Array }], + { + 'content' : Uint8Array | number[], + 'sha256' : [] | [Uint8Array | number[]], + 'content_type' : string, + 'content_encoding' : string, + 'total_length' : bigint, + } + >, + 'get_asset_properties' : ActorMethod< + [Key], + { + 'headers' : [] | [Array], + 'is_aliased' : [] | [boolean], + 'allow_raw_access' : [] | [boolean], + 'max_age' : [] | [bigint], + } + >, + 'get_chunk' : ActorMethod< + [ + { + 'key' : Key, + 'sha256' : [] | [Uint8Array | number[]], + 'index' : bigint, + 'content_encoding' : string, + }, + ], + { 'content' : Uint8Array | number[] } + >, + 'get_configuration' : ActorMethod<[], ConfigurationResponse>, + 'grant_permission' : ActorMethod<[GrantPermission], undefined>, + 'http_request' : ActorMethod<[HttpRequest], HttpResponse>, + 'http_request_streaming_callback' : ActorMethod< + [StreamingCallbackToken], + [] | [StreamingCallbackHttpResponse] + >, + 'list' : ActorMethod< + [{}], + Array< + { + 'key' : Key, + 'encodings' : Array< + { + 'modified' : Time, + 'sha256' : [] | [Uint8Array | number[]], + 'length' : bigint, + 'content_encoding' : string, + } + >, + 'content_type' : string, + } + > + >, + 'list_authorized' : ActorMethod<[], Array>, + 'list_permitted' : ActorMethod<[ListPermitted], Array>, + 'propose_commit_batch' : ActorMethod<[CommitBatchArguments], undefined>, + 'revoke_permission' : ActorMethod<[RevokePermission], undefined>, + 'set_asset_content' : ActorMethod<[SetAssetContentArguments], undefined>, + 'set_asset_properties' : ActorMethod< + [SetAssetPropertiesArguments], + undefined + >, + 'store' : ActorMethod< + [ + { + 'key' : Key, + 'content' : Uint8Array | number[], + 'sha256' : [] | [Uint8Array | number[]], + 'content_type' : string, + 'content_encoding' : string, + }, + ], + undefined + >, + 'take_ownership' : ActorMethod<[], undefined>, + 'unset_asset_content' : ActorMethod<[UnsetAssetContentArguments], undefined>, + 'validate_commit_proposed_batch' : ActorMethod< + [CommitProposedBatchArguments], + ValidationResult + >, + 'validate_configure' : ActorMethod<[ConfigureArguments], ValidationResult>, + 'validate_grant_permission' : ActorMethod< + [GrantPermission], + ValidationResult + >, + 'validate_revoke_permission' : ActorMethod< + [RevokePermission], + ValidationResult + >, + 'validate_take_ownership' : ActorMethod<[], ValidationResult>, +} +export declare const idlFactory: IDL.InterfaceFactory; +export declare const init: (args: { IDL: typeof IDL }) => IDL.Type[]; diff --git a/rust/face-recognition/src/declarations/frontend/frontend.did.js b/rust/face-recognition/src/declarations/frontend/frontend.did.js new file mode 100644 index 000000000..b68ea4a42 --- /dev/null +++ b/rust/face-recognition/src/declarations/frontend/frontend.did.js @@ -0,0 +1,286 @@ +export const idlFactory = ({ IDL }) => { + const SetPermissions = IDL.Record({ + 'prepare' : IDL.Vec(IDL.Principal), + 'commit' : IDL.Vec(IDL.Principal), + 'manage_permissions' : IDL.Vec(IDL.Principal), + }); + const UpgradeArgs = IDL.Record({ + 'set_permissions' : IDL.Opt(SetPermissions), + }); + const InitArgs = IDL.Record({}); + const AssetCanisterArgs = IDL.Variant({ + 'Upgrade' : UpgradeArgs, + 'Init' : InitArgs, + }); + const ClearArguments = IDL.Record({}); + const BatchId = IDL.Nat; + const Key = IDL.Text; + const HeaderField = IDL.Tuple(IDL.Text, IDL.Text); + const SetAssetPropertiesArguments = IDL.Record({ + 'key' : Key, + 'headers' : IDL.Opt(IDL.Opt(IDL.Vec(HeaderField))), + 'is_aliased' : IDL.Opt(IDL.Opt(IDL.Bool)), + 'allow_raw_access' : IDL.Opt(IDL.Opt(IDL.Bool)), + 'max_age' : IDL.Opt(IDL.Opt(IDL.Nat64)), + }); + const CreateAssetArguments = IDL.Record({ + 'key' : Key, + 'content_type' : IDL.Text, + 'headers' : IDL.Opt(IDL.Vec(HeaderField)), + 'allow_raw_access' : IDL.Opt(IDL.Bool), + 'max_age' : IDL.Opt(IDL.Nat64), + 'enable_aliasing' : IDL.Opt(IDL.Bool), + }); + const UnsetAssetContentArguments = IDL.Record({ + 'key' : Key, + 'content_encoding' : IDL.Text, + }); + const DeleteAssetArguments = IDL.Record({ 'key' : Key }); + const ChunkId = IDL.Nat; + const SetAssetContentArguments = IDL.Record({ + 'key' : Key, + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'chunk_ids' : IDL.Vec(ChunkId), + 'content_encoding' : IDL.Text, + }); + const BatchOperationKind = IDL.Variant({ + 'SetAssetProperties' : SetAssetPropertiesArguments, + 'CreateAsset' : CreateAssetArguments, + 'UnsetAssetContent' : UnsetAssetContentArguments, + 'DeleteAsset' : DeleteAssetArguments, + 'SetAssetContent' : SetAssetContentArguments, + 'Clear' : ClearArguments, + }); + const CommitBatchArguments = IDL.Record({ + 'batch_id' : BatchId, + 'operations' : IDL.Vec(BatchOperationKind), + }); + const CommitProposedBatchArguments = IDL.Record({ + 'batch_id' : BatchId, + 'evidence' : IDL.Vec(IDL.Nat8), + }); + const ComputeEvidenceArguments = IDL.Record({ + 'batch_id' : BatchId, + 'max_iterations' : IDL.Opt(IDL.Nat16), + }); + const ConfigureArguments = IDL.Record({ + 'max_batches' : IDL.Opt(IDL.Opt(IDL.Nat64)), + 'max_bytes' : IDL.Opt(IDL.Opt(IDL.Nat64)), + 'max_chunks' : IDL.Opt(IDL.Opt(IDL.Nat64)), + }); + const DeleteBatchArguments = IDL.Record({ 'batch_id' : BatchId }); + const ConfigurationResponse = IDL.Record({ + 'max_batches' : IDL.Opt(IDL.Nat64), + 'max_bytes' : IDL.Opt(IDL.Nat64), + 'max_chunks' : IDL.Opt(IDL.Nat64), + }); + const Permission = IDL.Variant({ + 'Prepare' : IDL.Null, + 'ManagePermissions' : IDL.Null, + 'Commit' : IDL.Null, + }); + const GrantPermission = IDL.Record({ + 'permission' : Permission, + 'to_principal' : IDL.Principal, + }); + const HttpRequest = IDL.Record({ + 'url' : IDL.Text, + 'method' : IDL.Text, + 'body' : IDL.Vec(IDL.Nat8), + 'headers' : IDL.Vec(HeaderField), + 'certificate_version' : IDL.Opt(IDL.Nat16), + }); + const StreamingCallbackToken = IDL.Record({ + 'key' : Key, + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'index' : IDL.Nat, + 'content_encoding' : IDL.Text, + }); + const StreamingCallbackHttpResponse = IDL.Record({ + 'token' : IDL.Opt(StreamingCallbackToken), + 'body' : IDL.Vec(IDL.Nat8), + }); + const StreamingStrategy = IDL.Variant({ + 'Callback' : IDL.Record({ + 'token' : StreamingCallbackToken, + 'callback' : IDL.Func( + [StreamingCallbackToken], + [IDL.Opt(StreamingCallbackHttpResponse)], + ['query'], + ), + }), + }); + const HttpResponse = IDL.Record({ + 'body' : IDL.Vec(IDL.Nat8), + 'headers' : IDL.Vec(HeaderField), + 'streaming_strategy' : IDL.Opt(StreamingStrategy), + 'status_code' : IDL.Nat16, + }); + const Time = IDL.Int; + const ListPermitted = IDL.Record({ 'permission' : Permission }); + const RevokePermission = IDL.Record({ + 'permission' : Permission, + 'of_principal' : IDL.Principal, + }); + const ValidationResult = IDL.Variant({ 'Ok' : IDL.Text, 'Err' : IDL.Text }); + return IDL.Service({ + 'api_version' : IDL.Func([], [IDL.Nat16], ['query']), + 'authorize' : IDL.Func([IDL.Principal], [], []), + 'certified_tree' : IDL.Func( + [IDL.Record({})], + [ + IDL.Record({ + 'certificate' : IDL.Vec(IDL.Nat8), + 'tree' : IDL.Vec(IDL.Nat8), + }), + ], + ['query'], + ), + 'clear' : IDL.Func([ClearArguments], [], []), + 'commit_batch' : IDL.Func([CommitBatchArguments], [], []), + 'commit_proposed_batch' : IDL.Func([CommitProposedBatchArguments], [], []), + 'compute_evidence' : IDL.Func( + [ComputeEvidenceArguments], + [IDL.Opt(IDL.Vec(IDL.Nat8))], + [], + ), + 'configure' : IDL.Func([ConfigureArguments], [], []), + 'create_asset' : IDL.Func([CreateAssetArguments], [], []), + 'create_batch' : IDL.Func( + [IDL.Record({})], + [IDL.Record({ 'batch_id' : BatchId })], + [], + ), + 'create_chunk' : IDL.Func( + [IDL.Record({ 'content' : IDL.Vec(IDL.Nat8), 'batch_id' : BatchId })], + [IDL.Record({ 'chunk_id' : ChunkId })], + [], + ), + 'deauthorize' : IDL.Func([IDL.Principal], [], []), + 'delete_asset' : IDL.Func([DeleteAssetArguments], [], []), + 'delete_batch' : IDL.Func([DeleteBatchArguments], [], []), + 'get' : IDL.Func( + [IDL.Record({ 'key' : Key, 'accept_encodings' : IDL.Vec(IDL.Text) })], + [ + IDL.Record({ + 'content' : IDL.Vec(IDL.Nat8), + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'content_type' : IDL.Text, + 'content_encoding' : IDL.Text, + 'total_length' : IDL.Nat, + }), + ], + ['query'], + ), + 'get_asset_properties' : IDL.Func( + [Key], + [ + IDL.Record({ + 'headers' : IDL.Opt(IDL.Vec(HeaderField)), + 'is_aliased' : IDL.Opt(IDL.Bool), + 'allow_raw_access' : IDL.Opt(IDL.Bool), + 'max_age' : IDL.Opt(IDL.Nat64), + }), + ], + ['query'], + ), + 'get_chunk' : IDL.Func( + [ + IDL.Record({ + 'key' : Key, + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'index' : IDL.Nat, + 'content_encoding' : IDL.Text, + }), + ], + [IDL.Record({ 'content' : IDL.Vec(IDL.Nat8) })], + ['query'], + ), + 'get_configuration' : IDL.Func([], [ConfigurationResponse], []), + 'grant_permission' : IDL.Func([GrantPermission], [], []), + 'http_request' : IDL.Func([HttpRequest], [HttpResponse], ['query']), + 'http_request_streaming_callback' : IDL.Func( + [StreamingCallbackToken], + [IDL.Opt(StreamingCallbackHttpResponse)], + ['query'], + ), + 'list' : IDL.Func( + [IDL.Record({})], + [ + IDL.Vec( + IDL.Record({ + 'key' : Key, + 'encodings' : IDL.Vec( + IDL.Record({ + 'modified' : Time, + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'length' : IDL.Nat, + 'content_encoding' : IDL.Text, + }) + ), + 'content_type' : IDL.Text, + }) + ), + ], + ['query'], + ), + 'list_authorized' : IDL.Func([], [IDL.Vec(IDL.Principal)], []), + 'list_permitted' : IDL.Func([ListPermitted], [IDL.Vec(IDL.Principal)], []), + 'propose_commit_batch' : IDL.Func([CommitBatchArguments], [], []), + 'revoke_permission' : IDL.Func([RevokePermission], [], []), + 'set_asset_content' : IDL.Func([SetAssetContentArguments], [], []), + 'set_asset_properties' : IDL.Func([SetAssetPropertiesArguments], [], []), + 'store' : IDL.Func( + [ + IDL.Record({ + 'key' : Key, + 'content' : IDL.Vec(IDL.Nat8), + 'sha256' : IDL.Opt(IDL.Vec(IDL.Nat8)), + 'content_type' : IDL.Text, + 'content_encoding' : IDL.Text, + }), + ], + [], + [], + ), + 'take_ownership' : IDL.Func([], [], []), + 'unset_asset_content' : IDL.Func([UnsetAssetContentArguments], [], []), + 'validate_commit_proposed_batch' : IDL.Func( + [CommitProposedBatchArguments], + [ValidationResult], + [], + ), + 'validate_configure' : IDL.Func( + [ConfigureArguments], + [ValidationResult], + [], + ), + 'validate_grant_permission' : IDL.Func( + [GrantPermission], + [ValidationResult], + [], + ), + 'validate_revoke_permission' : IDL.Func( + [RevokePermission], + [ValidationResult], + [], + ), + 'validate_take_ownership' : IDL.Func([], [ValidationResult], []), + }); +}; +export const init = ({ IDL }) => { + const SetPermissions = IDL.Record({ + 'prepare' : IDL.Vec(IDL.Principal), + 'commit' : IDL.Vec(IDL.Principal), + 'manage_permissions' : IDL.Vec(IDL.Principal), + }); + const UpgradeArgs = IDL.Record({ + 'set_permissions' : IDL.Opt(SetPermissions), + }); + const InitArgs = IDL.Record({}); + const AssetCanisterArgs = IDL.Variant({ + 'Upgrade' : UpgradeArgs, + 'Init' : InitArgs, + }); + return [IDL.Opt(AssetCanisterArgs)]; +}; diff --git a/rust/face-recognition/src/declarations/frontend/index.d.ts b/rust/face-recognition/src/declarations/frontend/index.d.ts new file mode 100644 index 000000000..b55074358 --- /dev/null +++ b/rust/face-recognition/src/declarations/frontend/index.d.ts @@ -0,0 +1,50 @@ +import type { + ActorSubclass, + HttpAgentOptions, + ActorConfig, + Agent, +} from "@dfinity/agent"; +import type { Principal } from "@dfinity/principal"; +import type { IDL } from "@dfinity/candid"; + +import { _SERVICE } from './frontend.did'; + +export declare const idlFactory: IDL.InterfaceFactory; +export declare const canisterId: string; + +export declare interface CreateActorOptions { + /** + * @see {@link Agent} + */ + agent?: Agent; + /** + * @see {@link HttpAgentOptions} + */ + agentOptions?: HttpAgentOptions; + /** + * @see {@link ActorConfig} + */ + actorOptions?: ActorConfig; +} + +/** + * Intializes an {@link ActorSubclass}, configured with the provided SERVICE interface of a canister. + * @constructs {@link ActorSubClass} + * @param {string | Principal} canisterId - ID of the canister the {@link Actor} will talk to + * @param {CreateActorOptions} options - see {@link CreateActorOptions} + * @param {CreateActorOptions["agent"]} options.agent - a pre-configured agent you'd like to use. Supercedes agentOptions + * @param {CreateActorOptions["agentOptions"]} options.agentOptions - options to set up a new agent + * @see {@link HttpAgentOptions} + * @param {CreateActorOptions["actorOptions"]} options.actorOptions - options for the Actor + * @see {@link ActorConfig} + */ +export declare const createActor: ( + canisterId: string | Principal, + options?: CreateActorOptions +) => ActorSubclass<_SERVICE>; + +/** + * Intialized Actor using default settings, ready to talk to a canister using its candid interface + * @constructs {@link ActorSubClass} + */ +export declare const frontend: ActorSubclass<_SERVICE>; diff --git a/rust/face-recognition/src/declarations/frontend/index.js b/rust/face-recognition/src/declarations/frontend/index.js new file mode 100644 index 000000000..c5e4ab186 --- /dev/null +++ b/rust/face-recognition/src/declarations/frontend/index.js @@ -0,0 +1,42 @@ +import { Actor, HttpAgent } from "@dfinity/agent"; + +// Imports and re-exports candid interface +import { idlFactory } from "./frontend.did.js"; +export { idlFactory } from "./frontend.did.js"; + +/* CANISTER_ID is replaced by webpack based on node environment + * Note: canister environment variable will be standardized as + * process.env.CANISTER_ID_ + * beginning in dfx 0.15.0 + */ +export const canisterId = + process.env.CANISTER_ID_FRONTEND; + +export const createActor = (canisterId, options = {}) => { + const agent = options.agent || new HttpAgent({ ...options.agentOptions }); + + if (options.agent && options.agentOptions) { + console.warn( + "Detected both agent and agentOptions passed to createActor. Ignoring agentOptions and proceeding with the provided agent." + ); + } + + // Fetch root key for certificate validation during development + if (process.env.DFX_NETWORK !== "ic") { + agent.fetchRootKey().catch((err) => { + console.warn( + "Unable to fetch root key. Check to ensure that your local replica is running" + ); + console.error(err); + }); + } + + // Creates an actor with using the candid interface and the HttpAgent + return Actor.createActor(idlFactory, { + agent, + canisterId, + ...options.actorOptions, + }); +}; + +export const frontend = canisterId ? createActor(canisterId) : undefined; diff --git a/rust/face-recognition/src/frontend/assets/.ic-assets.json5 b/rust/face-recognition/src/frontend/assets/.ic-assets.json5 new file mode 100644 index 000000000..577df191a --- /dev/null +++ b/rust/face-recognition/src/frontend/assets/.ic-assets.json5 @@ -0,0 +1,56 @@ +[ + { + "match": "**/*", + "headers": { + // Security: The Content Security Policy (CSP) given below aims at working with many apps rather than providing maximal security. + // We recommend tightening the CSP for your specific application. Some recommendations are as follows: + // - Use the CSP Evaluator (https://csp-evaluator.withgoogle.com/) to validate the CSP you define. + // - Follow the “Strict CSP” recommendations (https://csp.withgoogle.com/docs/strict-csp.html). However, note that in the context of the IC, + // nonces cannot be used because the response bodies must be static to work well with HTTP asset certification. + // Thus, we recommend to include script hashes (in combination with strict-dynamic) in the CSP as described + // in https://csp.withgoogle.com/docs/faq.html in section “What if my site is static and I can't add nonces to scripts?”. + // See for example the II CSP (https://github.com/dfinity/internet-identity/blob/main/src/internet_identity/src/http.rs). + // - It is recommended to tighten the connect-src directive. With the current CSP configuration the browser can + // make requests to https://*.icp0.io, hence being able to call any canister via https://icp0.io/api/v2/canister/{canister-ID}. + // This could potentially be used in combination with another vulnerability (e.g. XSS) to exfiltrate private data. + // The developer can configure this policy to only allow requests to their specific canisters, + // e.g: connect-src 'self' https://icp-api.io/api/v2/canister/{my-canister-ID}, where {my-canister-ID} has the following format: aaaaa-aaaaa-aaaaa-aaaaa-aaa + // - It is recommended to configure style-src, style-src-elem and font-src directives with the resources your canister is going to use + // instead of using the wild card (*) option. Normally this will include 'self' but also other third party styles or fonts resources (e.g: https://fonts.googleapis.com or other CDNs) + + // Notes about the CSP below: + // - script-src 'unsafe-eval' is currently required because agent-js uses a WebAssembly module for the validation of bls signatures. + // There is currently no other way to allow execution of WebAssembly modules with CSP. + // See: https://github.com/WebAssembly/content-security-policy/blob/main/proposals/CSP.md. + // - We added img-src data: because data: images are used often. + // - frame-ancestors: none mitigates clickjacking attacks. See https://owasp.org/www-community/attacks/Clickjacking. + "Content-Security-Policy": "default-src 'self';script-src 'self' 'unsafe-eval';connect-src 'self' https://icp0.io https://*.icp0.io;img-src 'self' data:;style-src * 'unsafe-inline';style-src-elem * 'unsafe-inline';font-src *;object-src 'none';base-uri 'self';frame-ancestors 'none';form-action 'self';upgrade-insecure-requests;", + + // Security: The permissions policy disables all features for security reasons. If your site needs such permissions, activate them. + // To configure permissions go here https://www.permissionspolicy.com/ + "Permissions-Policy": "accelerometer=(), ambient-light-sensor=(), autoplay=(), battery=(), camera=self, cross-origin-isolated=(), display-capture=(), document-domain=(), encrypted-media=(), execution-while-not-rendered=(), execution-while-out-of-viewport=(), fullscreen=(), geolocation=(), gyroscope=(), keyboard-map=(), magnetometer=(), microphone=(), midi=(), navigation-override=(), payment=(), picture-in-picture=(), publickey-credentials-get=(), screen-wake-lock=(), sync-xhr=(), usb=(), web-share=(), xr-spatial-tracking=(), clipboard-read=(), clipboard-write=(), gamepad=(), speaker-selection=(), conversion-measurement=(), focus-without-user-activation=(), hid=(), idle-detection=(), interest-cohort=(), serial=(), sync-script=(), trust-token-redemption=(), window-placement=(), vertical-scroll=()", + + // Security: Mitigates clickjacking attacks. + // See: https://owasp.org/www-community/attacks/Clickjacking. + "X-Frame-Options": "DENY", + + // Security: Avoids forwarding referrer information to other origins. + // See: https://owasp.org/www-project-secure-headers/#referrer-policy. + "Referrer-Policy": "same-origin", + + // Security: Tells the user’s browser that it must always use HTTPS with your site. + // See: https://owasp.org/www-project-secure-headers/#http-strict-transport-security + "Strict-Transport-Security": "max-age=31536000; includeSubDomains", + + // Security: Prevents the browser from interpreting files as a different MIME type to what is specified in the Content-Type header. + // See: https://owasp.org/www-project-secure-headers/#x-content-type-options + "X-Content-Type-Options": "nosniff", + + // Security: Enables browser features to mitigate some of the XSS attacks. Note that it has to be in mode=block. + // See: https://owasp.org/www-community/attacks/xss/ + "X-XSS-Protection": "1; mode=block" + }, + // redirect all requests from .raw.icp0.io to .icp0.io (this redirection is the default) + "allow_raw_access": false + }, +] diff --git a/rust/face-recognition/src/frontend/assets/default.png b/rust/face-recognition/src/frontend/assets/default.png new file mode 100644 index 000000000..f66f964cd Binary files /dev/null and b/rust/face-recognition/src/frontend/assets/default.png differ diff --git a/rust/face-recognition/src/frontend/assets/favicon.ico b/rust/face-recognition/src/frontend/assets/favicon.ico new file mode 100644 index 000000000..338fbf34c Binary files /dev/null and b/rust/face-recognition/src/frontend/assets/favicon.ico differ diff --git a/rust/face-recognition/src/frontend/assets/loader.svg b/rust/face-recognition/src/frontend/assets/loader.svg new file mode 100644 index 000000000..2d448f5d0 --- /dev/null +++ b/rust/face-recognition/src/frontend/assets/loader.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/rust/face-recognition/src/frontend/assets/logo_small.png b/rust/face-recognition/src/frontend/assets/logo_small.png new file mode 100644 index 000000000..57b0a0e4f Binary files /dev/null and b/rust/face-recognition/src/frontend/assets/logo_small.png differ diff --git a/rust/face-recognition/src/frontend/assets/logo_transparent.png b/rust/face-recognition/src/frontend/assets/logo_transparent.png new file mode 100644 index 000000000..94b22ca99 Binary files /dev/null and b/rust/face-recognition/src/frontend/assets/logo_transparent.png differ diff --git a/rust/face-recognition/src/frontend/assets/main.css b/rust/face-recognition/src/frontend/assets/main.css new file mode 100644 index 000000000..aea73a01e --- /dev/null +++ b/rust/face-recognition/src/frontend/assets/main.css @@ -0,0 +1,138 @@ +@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap'); + +body { + font-family: monospace; + width: 100%; + color: #2563eb; +} + +h1 { + font-size: larger; + display: flex; + align-items: center; +} + +form { + display: flex; + justify-content: center; + max-width: 80vw; + margin: auto; +} + +div { + display: flex; + max-width: 80vw; + flex-flow: column; + align-items: baseline; +} + +#camera { + position: relative; + margin-top: 10px; + height: 320px; + cursor: pointer; +} + +#camera>video, +#camera>canvas, +#camera>img { + position: absolute; + top: 0px; + left: 0px; + border: 1px solid #2563eb; + max-width: 450px; + width: auto; + height: 320px; + border-radius: 0.6rem; +} + + +.invisible { + visibility: hidden; +} + +@keyframes astrodance { + 0% { + transform: translate(-50%, -50%) rotate(-20deg) + } + + 50% { + transform: translate(-50%, -50%) rotate(10deg) + } + + to { + transform: translate(-50%, -50%) rotate(-20deg) + } +} + +#loader { + width: 32px; + margin-top: -64px; + margin-left: 32px; + display: block; + -webkit-user-select: none; + user-select: none; + animation-name: astrodance; + animation-duration: 5s; + animation-iteration-count: infinite; + animation-timing-function: ease-in-out; + border: none; + background-color: transparent; +} + +#toolbar { + position: relative; + margin-top: 30px; +} + +#buttons { + position: absolute; + top: 0px; + left: 0px; + display: flex; + flex-direction: row; + gap: 1rem; + justify-content: center; +} + +button, +#buttons label { + text-wrap: nowrap; + display: inline; + padding: 0.75rem 1rem; + border: none; + border-radius: 0.5rem; + background-color: #2563eb; + color: #fff; + cursor: pointer; +} + +button:hover, +#buttons label:hover { + background-color: #3583fb; +} + +button i { + margin-right: 0.5rem; + font-size: 1rem; +} + +#message { + max-width: 300px; + font-size: 120%; +} + +input.file { + display: none; +} + +.container { + margin: 0 auto; + width: 450px; +} + +#inline-logo { + height: 1em; + margin-left: 0.2ch; + margin-right: 1ch; +} \ No newline at end of file diff --git a/rust/face-recognition/src/frontend/src/.ic-assets.json5 b/rust/face-recognition/src/frontend/src/.ic-assets.json5 new file mode 100644 index 000000000..577df191a --- /dev/null +++ b/rust/face-recognition/src/frontend/src/.ic-assets.json5 @@ -0,0 +1,56 @@ +[ + { + "match": "**/*", + "headers": { + // Security: The Content Security Policy (CSP) given below aims at working with many apps rather than providing maximal security. + // We recommend tightening the CSP for your specific application. Some recommendations are as follows: + // - Use the CSP Evaluator (https://csp-evaluator.withgoogle.com/) to validate the CSP you define. + // - Follow the “Strict CSP” recommendations (https://csp.withgoogle.com/docs/strict-csp.html). However, note that in the context of the IC, + // nonces cannot be used because the response bodies must be static to work well with HTTP asset certification. + // Thus, we recommend to include script hashes (in combination with strict-dynamic) in the CSP as described + // in https://csp.withgoogle.com/docs/faq.html in section “What if my site is static and I can't add nonces to scripts?”. + // See for example the II CSP (https://github.com/dfinity/internet-identity/blob/main/src/internet_identity/src/http.rs). + // - It is recommended to tighten the connect-src directive. With the current CSP configuration the browser can + // make requests to https://*.icp0.io, hence being able to call any canister via https://icp0.io/api/v2/canister/{canister-ID}. + // This could potentially be used in combination with another vulnerability (e.g. XSS) to exfiltrate private data. + // The developer can configure this policy to only allow requests to their specific canisters, + // e.g: connect-src 'self' https://icp-api.io/api/v2/canister/{my-canister-ID}, where {my-canister-ID} has the following format: aaaaa-aaaaa-aaaaa-aaaaa-aaa + // - It is recommended to configure style-src, style-src-elem and font-src directives with the resources your canister is going to use + // instead of using the wild card (*) option. Normally this will include 'self' but also other third party styles or fonts resources (e.g: https://fonts.googleapis.com or other CDNs) + + // Notes about the CSP below: + // - script-src 'unsafe-eval' is currently required because agent-js uses a WebAssembly module for the validation of bls signatures. + // There is currently no other way to allow execution of WebAssembly modules with CSP. + // See: https://github.com/WebAssembly/content-security-policy/blob/main/proposals/CSP.md. + // - We added img-src data: because data: images are used often. + // - frame-ancestors: none mitigates clickjacking attacks. See https://owasp.org/www-community/attacks/Clickjacking. + "Content-Security-Policy": "default-src 'self';script-src 'self' 'unsafe-eval';connect-src 'self' https://icp0.io https://*.icp0.io;img-src 'self' data:;style-src * 'unsafe-inline';style-src-elem * 'unsafe-inline';font-src *;object-src 'none';base-uri 'self';frame-ancestors 'none';form-action 'self';upgrade-insecure-requests;", + + // Security: The permissions policy disables all features for security reasons. If your site needs such permissions, activate them. + // To configure permissions go here https://www.permissionspolicy.com/ + "Permissions-Policy": "accelerometer=(), ambient-light-sensor=(), autoplay=(), battery=(), camera=self, cross-origin-isolated=(), display-capture=(), document-domain=(), encrypted-media=(), execution-while-not-rendered=(), execution-while-out-of-viewport=(), fullscreen=(), geolocation=(), gyroscope=(), keyboard-map=(), magnetometer=(), microphone=(), midi=(), navigation-override=(), payment=(), picture-in-picture=(), publickey-credentials-get=(), screen-wake-lock=(), sync-xhr=(), usb=(), web-share=(), xr-spatial-tracking=(), clipboard-read=(), clipboard-write=(), gamepad=(), speaker-selection=(), conversion-measurement=(), focus-without-user-activation=(), hid=(), idle-detection=(), interest-cohort=(), serial=(), sync-script=(), trust-token-redemption=(), window-placement=(), vertical-scroll=()", + + // Security: Mitigates clickjacking attacks. + // See: https://owasp.org/www-community/attacks/Clickjacking. + "X-Frame-Options": "DENY", + + // Security: Avoids forwarding referrer information to other origins. + // See: https://owasp.org/www-project-secure-headers/#referrer-policy. + "Referrer-Policy": "same-origin", + + // Security: Tells the user’s browser that it must always use HTTPS with your site. + // See: https://owasp.org/www-project-secure-headers/#http-strict-transport-security + "Strict-Transport-Security": "max-age=31536000; includeSubDomains", + + // Security: Prevents the browser from interpreting files as a different MIME type to what is specified in the Content-Type header. + // See: https://owasp.org/www-project-secure-headers/#x-content-type-options + "X-Content-Type-Options": "nosniff", + + // Security: Enables browser features to mitigate some of the XSS attacks. Note that it has to be in mode=block. + // See: https://owasp.org/www-community/attacks/xss/ + "X-XSS-Protection": "1; mode=block" + }, + // redirect all requests from .raw.icp0.io to .icp0.io (this redirection is the default) + "allow_raw_access": false + }, +] diff --git a/rust/face-recognition/src/frontend/src/index.html b/rust/face-recognition/src/frontend/src/index.html new file mode 100644 index 000000000..145125771 --- /dev/null +++ b/rust/face-recognition/src/frontend/src/index.html @@ -0,0 +1,44 @@ + + + + + + + On-chain ICP face recognition + + + + + + + +
+

On-chain ICP face recognition

+
+ + +
+ +
+ +
+ +
+ +
+ +
+
+ + + \ No newline at end of file diff --git a/rust/face-recognition/src/frontend/src/index.js b/rust/face-recognition/src/frontend/src/index.js new file mode 100644 index 000000000..abb452dec --- /dev/null +++ b/rust/face-recognition/src/frontend/src/index.js @@ -0,0 +1,270 @@ +import { backend } from "../../declarations/backend"; + +window.onload = async () => { + elem("recognize").onclick = recognize; + elem("store").onclick = store; + elem("file").onchange = load_local_image; + elem("canvas").onclick = restart; + elem("restart").onclick = restart; + elem("video").oncanplay = () => { + show("video"); + hide("image"); + hide("canvas"); + } + + navigator.mediaDevices + .getUserMedia({ video: true, audio: false }) + .then((stream) => { + const video = elem("video"); + video.srcObject = stream; + video.play(); + show("buttons"); + }) + .catch((err) => { + show("image"); + hide("buttons"); + hide("video"); + hide("canvas"); + console.error(`An error occurred: ${err}`); + message("Couldn't start camera, but you can upload photos.") + }); +} + +// Returns a DOM element that is currently visible and contains an image. +function select_visible_element() { + const video = elem("video"); + const image = elem("image"); + const canvas = elem("canvas"); + if (!video.className.includes("invisible")) { + return [video, video.videoWidth, video.videoHeight]; + } else if (!image.className.includes("invisible")) { + return [image, image.width, image.height]; + } else { + return [canvas, canvas.width, canvas.height]; + } +} + +// Captures the image from the camera stream or from the image element or from +// the canvas element depending on which one of them is visible. +// +// It also scales the image down to 320x240px such that it can be submitted to +// the backend for face detection. +async function capture_image() { + let [image, width, height] = select_visible_element(); + + const canvas = elem("canvas"); + canvas.width = width + canvas.height = height; + const context = canvas.getContext("2d"); + context.drawImage(image, 0, 0, width, height); + + const resized = document.createElement("canvas"); + resized.width = 320; + resized.height = 240; + let scale = Math.min(resized.width / canvas.width, resized.height / canvas.height); + width = canvas.width * scale; + height = canvas.height * scale; + let x = resized.width / 2 - width / 2; + let y = resized.height / 2 - height / 2; + const ctx = resized.getContext("2d"); + if (ctx) { + ctx.drawImage(canvas, x, y, width, height); + } + let bytes = await serialize(resized); + + if (video.srcObject) { + video.srcObject.getTracks().forEach((track) => track.stop()); + } + + hide("video"); + hide("image"); + show("canvas") + return [bytes, { scale, x, y }]; +} + +// Renders the bounding box around the face and also returns a small image of +// the face that can be submitted to the backend for recognition. +async function render(scaling, box) { + box.left = Math.round((box.left * 320 - scaling.x) / scaling.scale); + box.right = Math.round((box.right * 320 - scaling.x) / scaling.scale); + box.top = Math.round((box.top * 240 - scaling.y) / scaling.scale); + box.bottom = Math.round((box.bottom * 240 - scaling.y) / scaling.scale); + + const canvas = elem("canvas"); + + const small = document.createElement("canvas"); + small.width = 160; + small.height = 160; + const ctx2 = small.getContext("2d"); + if (ctx2) { + ctx2.drawImage(canvas, box.left, box.top, box.right - box.left, box.bottom - box.top, 0, 0, 140, 140); + } + let bytes = await serialize(small); + + const ctx = canvas.getContext("2d"); + if (ctx) { + ctx.strokeStyle = "#0f3"; + ctx.lineWidth = 5; + ctx.beginPath(); + ctx.rect(box.left, box.top, box.right - box.left, box.bottom - box.top); + ctx.stroke(); + } + + return bytes; +} + +// This function performs the following steps: +// 1. Capture the image from the camera stream (or from the local file). +// 2. Call the backend to detect the bounding box of the face in the image. +// 3. Call the backend to recognize the face. +async function recognize(event) { + event.preventDefault(); + hide("buttons"); + show("loader"); + message("Detecting face.."); + try { + const [blob, scaling] = await capture_image(); + let result; + result = await backend.detect(new Uint8Array(blob)); + if (!result.Ok) { + throw result.Err.message; + } + let face = await render(scaling, result.Ok); + message("Face detected. Recognizing.."); + result = await backend.recognize(new Uint8Array(face)); + if (!result.Ok) { + throw result.Err.message; + } + let label = sanitize(result.Ok.label); + let score = Math.round(result.Ok.score * 100) / 100; + message(`${label}, difference=${score}`); + } catch (err) { + console.error(`An error occurred: ${err}`); + message(err.toString()); + } + hide("loader"); + show("restart"); + return false; +} + +// This function performs the following steps: +// 1. Capture the image from the camera stream (or from the local file). +// 2. Call the backend to detect the bounding box of the face in the image. +// 3. Ask the user for their name. +// 4. Call the backend to store the image and the name of the user. +async function store(event) { + event.preventDefault(); + hide("buttons"); + show("loader"); + message("Detecting face.."); + try { + const [blob, scaling] = await capture_image(); + let result; + result = await backend.detect(new Uint8Array(blob)); + if (!result.Ok) { + throw result.Err.message; + } + let face = await render(scaling, result.Ok); + message("Face detected. Adding.."); + let label = prompt("Enter name of the person"); + if (!label) { + throw "cannot add without a name"; + } + label = sanitize(label); + message(`Face detected. Adding ${label}..`); + result = await backend.add(label, new Uint8Array(face)); + if (!result.Ok) { + throw result.Err.message; + } + message(`Successfully added ${label}.`); + } catch (err) { + console.error(`An error occurred: ${err}`); + message("Failed to add the face: " + err.toString()); + } + + hide("loader"); + show("restart"); + return false; +} + +// Invoked when a file is selected in the file input element. +// Loads the given file as an image to show to the user. +async function load_local_image(event) { + message(""); + let image = elem("image"); + try { + const file = event.target.files[0]; + if (!file) { + return false; + } + const url = await toDataURL(file); + image.src = url; + } catch (err) { + message("Failed to select photo: " + err.toString()); + } + hide("video"); + hide("canvas"); + show("image"); + show("buttons"); + return false; +} + +// Converts the given blob into a data url such that it can be assigned as a +// target of a link of as an image source. +function toDataURL(blob) { + return new Promise((resolve, _) => { + const fileReader = new FileReader(); + fileReader.readAsDataURL(blob); + fileReader.onloadend = function () { + resolve(fileReader.result); + } + }); +} + +// Restarts the face recognition / addition user flow. +async function restart(event) { + hide("restart"); + message(""); + if (video.srcObject) { + event.preventDefault(); + } + navigator.mediaDevices + .getUserMedia({ video: true, audio: false }) + .then((stream) => { + const video = elem("video"); + video.srcObject = stream; + video.play(); + show("buttons"); + }); +} + +// Returns a DOM element by its id. +function elem(id) { + return document.getElementById(id); +} + +// Makes the given DOM element visible. +function show(id) { + elem(id).className = ""; +} + +// Makes the given DOM element invisible. +function hide(id) { + elem(id).className = "invisible"; +} + +// Sets the message element's text to the given text. +function message(m) { + elem("message").innerText = m; +} + +// Returns an PNG image from the canvas. +function serialize(canvas) { + return new Promise((resolve) => canvas.toBlob((blob) => blob.arrayBuffer().then(resolve), "image/png", 0.9)); +} + +// Sanitizes the name string by filtering out characters that are not letters, +// numbers, spaces, and dashes. +function sanitize(name) { + return name.match(/[\p{L}\p{N}\s_-]/gu).join(''); +} diff --git a/rust/face-recognition/upload-models-to-canister.sh b/rust/face-recognition/upload-models-to-canister.sh new file mode 100755 index 000000000..bc60fde04 --- /dev/null +++ b/rust/face-recognition/upload-models-to-canister.sh @@ -0,0 +1,8 @@ +#!/bin/bash +set -e + +dfx canister call backend clear_face_detection_model_bytes +dfx canister call backend clear_face_recognition_model_bytes +ic-file-uploader backend append_face_detection_model_bytes version-RFB-320.onnx +ic-file-uploader backend append_face_recognition_model_bytes face-recognition.onnx +dfx canister call backend setup_models diff --git a/rust/face-recognition/webpack.config.js b/rust/face-recognition/webpack.config.js new file mode 100644 index 000000000..4792c054a --- /dev/null +++ b/rust/face-recognition/webpack.config.js @@ -0,0 +1,96 @@ +require("dotenv").config(); +const path = require("path"); +const webpack = require("webpack"); +const HtmlWebpackPlugin = require("html-webpack-plugin"); +const TerserPlugin = require("terser-webpack-plugin"); +const CopyPlugin = require("copy-webpack-plugin"); + +const isDevelopment = process.env.NODE_ENV !== "production"; + +const frontendDirectory = "frontend"; + +const frontend_entry = path.join("src", frontendDirectory, "src", "index.html"); + +module.exports = { + target: "web", + mode: isDevelopment ? "development" : "production", + entry: { + // The frontend.entrypoint points to the HTML file for this build, so we need + // to replace the extension to `.js`. + index: path.join(__dirname, frontend_entry).replace(/\.html$/, ".js"), + }, + devtool: isDevelopment ? "source-map" : false, + optimization: { + minimize: !isDevelopment, + minimizer: [new TerserPlugin()], + }, + resolve: { + extensions: [".js", ".ts", ".jsx", ".tsx"], + fallback: { + assert: require.resolve("assert/"), + buffer: require.resolve("buffer/"), + events: require.resolve("events/"), + stream: require.resolve("stream-browserify/"), + util: require.resolve("util/"), + }, + }, + output: { + filename: "index.js", + path: path.join(__dirname, "dist", frontendDirectory), + }, + + // Depending in the language or framework you are using for + // front-end development, add module loaders to the default + // webpack configuration. For example, if you are using React + // modules and CSS as described in the "Adding a stylesheet" + // tutorial, uncomment the following lines: + // module: { + // rules: [ + // { test: /\.(ts|tsx|jsx)$/, loader: "ts-loader" }, + // { test: /\.css$/, use: ['style-loader','css-loader'] } + // ] + // }, + plugins: [ + new HtmlWebpackPlugin({ + template: path.join(__dirname, frontend_entry), + cache: false, + }), + new webpack.EnvironmentPlugin([ + ...Object.keys(process.env).filter((key) => { + if (key.includes("CANISTER")) return true; + if (key.includes("DFX")) return true; + return false; + }), + ]), + new webpack.ProvidePlugin({ + Buffer: [require.resolve("buffer/"), "Buffer"], + process: require.resolve("process/browser"), + }), + new CopyPlugin({ + patterns: [ + { + from: `src/${frontendDirectory}/src/.ic-assets.json*`, + to: ".ic-assets.json5", + noErrorOnMissing: true, + }, + ], + }), + ], + // proxy /api to port 4943 during development. + // if you edit dfx.json to define a project-specific local network, change the port to match. + devServer: { + proxy: { + "/api": { + target: "http://127.0.0.1:4943", + changeOrigin: true, + pathRewrite: { + "^/api": "/api", + }, + }, + }, + static: path.resolve(__dirname, "src", frontendDirectory, "assets"), + hot: true, + watchFiles: [path.resolve(__dirname, "src", frontendDirectory)], + liveReload: true, + }, +};