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||||
*.iml
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||||
.gradle
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||||
/local.properties
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||||
app/.idea/
|
||||
/.idea/caches
|
||||
/.idea/libraries
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||||
/.idea/modules.xml
|
||||
/.idea/workspace.xml
|
||||
/.idea/navEditor.xml
|
||||
/.idea/assetWizardSettings.xml
|
||||
.DS_Store
|
||||
# Build output
|
||||
/build
|
||||
/captures
|
||||
.externalNativeBuild
|
||||
.cxx
|
||||
local.properties
|
||||
/.idea
|
||||
|
||||
gradle\wrapper\gradle-wrapper.properties
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||||
gradle\libs.versions.toml
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||||
# Gradle
|
||||
.gradle
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||||
|
||||
# Local machine config (never commit — contains local SDK paths/secrets)
|
||||
local.properties
|
||||
/local.properties
|
||||
|
||||
# Android Studio / IntelliJ
|
||||
*.iml
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||||
/.idea
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||||
app/.idea/
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||||
.idea/caches
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||||
.idea/libraries
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||||
.idea/modules.xml
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||||
.idea/workspace.xml
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||||
.idea/navEditor.xml
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||||
.idea/assetWizardSettings.xml
|
||||
.idea/deploymentTargetSelector.xml
|
||||
.idea/deviceManager.xml
|
||||
|
||||
# Kotlin daemon cache
|
||||
.kotlin
|
||||
|
||||
# Visual Studio (native/CMake tooling)
|
||||
.vs/
|
||||
|
||||
# OS
|
||||
.DS_Store
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||||
Thumbs.db
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||||
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||||
<?xml version="1.0" encoding="UTF-8"?>
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||||
<project version="4">
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||||
<component name="deploymentTargetSelector">
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||||
<selectionStates>
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||||
<SelectionState runConfigName="Unnamed">
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||||
<option name="selectionMode" value="DROPDOWN" />
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<DialogSelection />
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</SelectionState>
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<SelectionState runConfigName="app">
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||||
<option name="selectionMode" value="DROPDOWN" />
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||||
<DropdownSelection timestamp="2026-09-05T10:57:53.251732600Z">
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||||
<Target type="DEFAULT_BOOT">
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||||
<template>
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||||
<DeviceId pluginId="FirebaseDirectAccess" type="TEMPLATE" identifier="model_id=pa1qksx/36" />
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</template>
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</Target>
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</DropdownSelection>
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<DialogSelection />
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</SelectionState>
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</selectionStates>
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</component>
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||||
</project>
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||||
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||||
<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="DeviceTable">
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<option name="columnSorters">
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<list>
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||||
<ColumnSorterState>
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<option name="column" value="Name" />
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||||
<option name="order" value="ASCENDING" />
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||||
</ColumnSorterState>
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||||
</list>
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||||
</option>
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||||
</component>
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||||
</project>
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||||
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<?xml version="1.0" encoding="UTF-8"?>
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||||
<project version="4">
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||||
<component name="ExternalStorageConfigurationManager" enabled="true" />
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||||
<component name="ProjectRootManager" version="2" languageLevel="JDK_21" default="true" project-jdk-name="temurin-21" project-jdk-type="JavaSDK">
|
||||
<component name="ProjectRootManager" version="2" languageLevel="JDK_21" default="true" project-jdk-name="jbr-21" project-jdk-type="JavaSDK">
|
||||
<output url="file://$PROJECT_DIR$/build/classes" />
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</component>
|
||||
<component name="ProjectType">
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||||
|
||||
@@ -0,0 +1,84 @@
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||||
# PinPoint (BowlEye)
|
||||
|
||||
An Android application for analyzing a bowler's approach and delivery form using on-device pose detection. The app captures video of a bowler via the phone camera, tracks body landmarks in real time, and surfaces step-count, joint-angle, and phase feedback to help improve technique.
|
||||
|
||||
See [`docs/`](docs/) for the project proposal, architecture, and deliverables/ownership breakdown.
|
||||
|
||||
## Tech stack
|
||||
|
||||
- **Language:** Kotlin (application/feature code), Java (legacy entry point), C++ (native game shell)
|
||||
- **Platform:** Android (min SDK 24, target/compile SDK 36)
|
||||
- **Build system:** Gradle (Kotlin DSL version catalog) + CMake 3.22.1 for the native module
|
||||
- **Key libraries:** CameraX (capture), ML Kit Pose Detection — accurate model (landmark tracking), Kotlin Coroutines, AndroidX Lifecycle/ViewModel
|
||||
|
||||
## Prerequisites
|
||||
|
||||
- **Android Studio** (current stable channel) — bundles a compatible JDK, so no separate JDK install is required
|
||||
- **Android SDK** with:
|
||||
- Android SDK Platform 36 (and 36.1)
|
||||
- NDK (side by side) — a recent version compatible with AGP
|
||||
- CMake 3.22.1
|
||||
- Android SDK Build-Tools 36.0.0
|
||||
- A physical Android device with a camera (recommended) or an emulator with a virtual/webcam camera. Real camera input is strongly recommended since pose detection needs an actual moving subject.
|
||||
|
||||
> The NDK/CMake/platform components above do **not** need to be installed manually — both Android Studio's "install missing components" prompt and a plain `./gradlew` command-line build will fetch them automatically on first sync/build, provided you have internet access and accept the SDK license prompts.
|
||||
|
||||
## Getting started
|
||||
|
||||
### Option A — Android Studio
|
||||
|
||||
1. `File > Open` and select the repository root.
|
||||
2. Let Gradle sync; approve any "install missing SDK components" prompts.
|
||||
3. Connect a device (enable **Developer Options > USB debugging** on the phone) or start an emulator.
|
||||
4. Click **Run** ▶ with the `app` configuration selected.
|
||||
|
||||
### Option B — Command line
|
||||
|
||||
```bash
|
||||
# Windows
|
||||
.\gradlew.bat assembleDebug
|
||||
.\gradlew.bat installDebug
|
||||
|
||||
# macOS / Linux
|
||||
./gradlew assembleDebug
|
||||
./gradlew installDebug
|
||||
```
|
||||
|
||||
Then launch an activity directly, e.g.:
|
||||
|
||||
```bash
|
||||
adb shell am start -n com.example.jnicpp/.MainActivity
|
||||
adb shell am start -n com.example.jnicpp/.bowling.BowlingCameraActivity
|
||||
```
|
||||
|
||||
### First-time local setup notes
|
||||
|
||||
- Gradle needs a `local.properties` file **at the repository root** (not inside `app/`) pointing at your local Android SDK, e.g.:
|
||||
```
|
||||
sdk.dir=/Users/you/Library/Android/sdk
|
||||
```
|
||||
Android Studio creates/updates this automatically on first sync. This file is machine-specific and is gitignored — never commit it.
|
||||
- The app requests **Camera** and **Record Audio** permissions at runtime; grant both to use the bowling analysis screen.
|
||||
|
||||
## Project structure
|
||||
|
||||
```
|
||||
app/
|
||||
├── src/main/cpp/ # Native C++ game shell (OpenGL ES menu, JNI bridge), built via CMake
|
||||
├── src/main/java/.../ # MainActivity (native GL menu host)
|
||||
└── src/main/java/.../bowling/ # Bowling capture + pose analysis feature (Kotlin, CameraX + ML Kit)
|
||||
docs/ # Proposal, architecture, design, and deliverables documentation
|
||||
```
|
||||
|
||||
The native GL menu (`MainActivity`) and the bowling camera/pose-analysis screen (`BowlingCameraActivity`) are currently two independent entry points — see [`docs/architecture.md`](docs/architecture.md) for how they're intended to connect.
|
||||
|
||||
## Running tests
|
||||
|
||||
```bash
|
||||
./gradlew test # JVM unit tests
|
||||
./gradlew connectedCheck # Instrumented tests (requires a connected device/emulator)
|
||||
```
|
||||
|
||||
## Cross-platform notes
|
||||
|
||||
The native game-state code under `app/src/main/cpp/my_gl_app/` is written behind a `Platform.h` seam with both `PLATFORM_ANDROID` and `PLATFORM_WINDOWS` (GLFW) code paths, so the menu/state-machine logic itself is portable. Only the Android (Gradle/CMake) build is wired up today; there is no standalone desktop build target yet.
|
||||
@@ -0,0 +1,102 @@
|
||||
# Architecture
|
||||
|
||||
## Technology stack
|
||||
|
||||
| Layer | Choice |
|
||||
|---|---|
|
||||
| Platform | Android (min SDK 24, target/compile SDK 36) |
|
||||
| Languages | Kotlin (feature code), Java (legacy `MainActivity` entry point), C++ (native game shell) |
|
||||
| Build | Gradle 9.x (version catalog), CMake 3.22.1 via Android's `externalNativeBuild` |
|
||||
| Camera capture | CameraX (`core`, `camera2`, `lifecycle`, `video`, `view`, `effects`) |
|
||||
| Pose detection | Google ML Kit Pose Detection (accurate model) |
|
||||
| Concurrency | Kotlin Coroutines |
|
||||
| UI (bowling feature) | Android Views + ViewBinding, custom `View`s for the pose overlay |
|
||||
| UI (menu shell) | Native OpenGL ES 3.0, rendered from C++ via a `GLSurfaceView` |
|
||||
| Rendering (native) | Custom C++ `GLRenderer` / `UIRenderer` |
|
||||
|
||||
## High-level component map
|
||||
|
||||
The app is really two loosely-coupled subsystems living in one Gradle module (`app/`), connected by a single JNI call:
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph Native["Native game shell (C++, JNI, OpenGL ES 3.0)"]
|
||||
GSM[GameStateManager]
|
||||
States[States: MainMenu / Menu1 / Menu2 / Menu3 / Settings]
|
||||
UIR[UIRenderer / GLRenderer]
|
||||
PB[PlatformBridge]
|
||||
GSM --> States
|
||||
GSM --> UIR
|
||||
States --> PB
|
||||
end
|
||||
|
||||
subgraph AndroidHost["Android host (Java/Kotlin)"]
|
||||
MA[MainActivity\nGLSurfaceView host]
|
||||
end
|
||||
|
||||
subgraph Bowling["Bowling capture + analysis (Kotlin)"]
|
||||
BCA[BowlingCameraActivity]
|
||||
CVM[CameraViewModel]
|
||||
CXC[CameraXController]
|
||||
PA[PoseAnalyzer]
|
||||
LSD[LiveStepDetector]
|
||||
PPD[PosePhaseDetector]
|
||||
PAC[PoseAngleCalculator]
|
||||
PLS[PoseLandmarkSmoother /\nAnkleHipMovingAverageFilter]
|
||||
POV[PoseOverlayView /\nPoseSkeletonRenderer]
|
||||
FUI[FeedbackUI / StepCounterUiController]
|
||||
DSL[DebugSessionLogger]
|
||||
PEA[ParameterEditorActivity /\nDetectorSettings]
|
||||
AA[AdminAuth /\nAdminLoginPrompt]
|
||||
end
|
||||
|
||||
MLKit[(ML Kit Pose Detection)]
|
||||
|
||||
PB -- "JNI: launchBowlingCamera()" --> MA
|
||||
MA -- "startActivity()" --> BCA
|
||||
BCA --> CVM --> CXC
|
||||
CXC -- camera frames --> PA
|
||||
PA -- landmarks --> MLKit
|
||||
MLKit -- pose result --> PA
|
||||
PA --> PLS --> LSD
|
||||
PA --> PAC
|
||||
LSD --> PPD
|
||||
PPD --> FUI
|
||||
PAC --> FUI
|
||||
PA --> POV
|
||||
CVM --> DSL
|
||||
PEA --> CVM
|
||||
AA --> PEA
|
||||
```
|
||||
|
||||
## Native game shell
|
||||
|
||||
- **`GameStateManager`** (singleton) owns the current `GameState` and drives `Update()` / `Render()` each frame. State transitions are deferred (`RequestStateChange`) so a state can safely trigger its own replacement mid-frame (e.g. from a button click handled during `Render()`).
|
||||
- **States** (`MainMenuState`, `Menu1State`, `Menu2State`, `Menu3State`, `SettingsState`) implement the actual menu screens; `Menu3State` is the entry point into the bowling feature.
|
||||
- **`PlatformBridge`** is the seam between shared state-machine code and platform-specific "launch a native feature" hooks, so state code doesn't need `#ifdef`s for Android vs. desktop. On Android, `LaunchBowlingCamera()` calls back into `MainActivity` over JNI (caching a `JavaVM` + global activity ref from `initGL()`); on the Windows/GLFW build it's a no-op log.
|
||||
- **`MainActivity`** (Java) hosts a `GLSurfaceView` (OpenGL ES 3.0, `RENDERMODE_CONTINUOUSLY`, `setPreserveEGLContextOnPause(true)` so launching `BowlingCameraActivity` on top doesn't tear down and have to re-init the GL context/UI). Touch events are forwarded to native code (`nativeOnTouch`) for in-engine hit-testing.
|
||||
- **Cross-platform note:** `Platform.h` already defines both `PLATFORM_ANDROID` and `PLATFORM_WINDOWS` (GLFW) branches, and `main.cpp` has a GLFW desktop loop. Only the Android CMake/Gradle build is currently wired up — there is no standalone desktop build target yet, but the state-machine/rendering code is written to be portable.
|
||||
|
||||
## Bowling capture & pose analysis pipeline
|
||||
|
||||
1. **`BowlingCameraActivity`** hosts the camera preview and UI chrome (switch camera, back, recording indicator); orientation follows the device sensor.
|
||||
2. **`CameraXController`** wraps CameraX use cases (preview, video, image analysis) and exposes camera frames.
|
||||
3. **`PoseAnalyzer`** runs each frame through ML Kit's accurate Pose Detection model and produces a `PoseFrame`.
|
||||
4. Landmarks are smoothed (**`PoseLandmarkSmoother`**, **`AnkleHipMovingAverageFilter`**) before being consumed by:
|
||||
- **`LiveStepDetector`** / **`StepDetector`** / **`StepCountingSession`** — step counting during the approach.
|
||||
- **`PosePhaseDetector`** — segments the approach into delivery phases.
|
||||
- **`PoseAngleCalculator`** — computes joint angles at points of interest.
|
||||
5. **`PoseOverlayView`** + **`PoseSkeletonRenderer`** draw the live skeleton over the camera preview.
|
||||
6. **`FeedbackUI`** / **`StepCounterUiController`** surface step count, phase, and feedback to the user.
|
||||
7. **`CameraViewModel`** coordinates the above and survives configuration changes; **`DebugSessionLogger`** records session data for offline tuning.
|
||||
8. **`DetectorSettings`** (via **`ParameterEditorActivity`**, gated by **`AdminAuth`**/**`AdminLoginPrompt`**) allows adjusting detection thresholds without a rebuild, for tuning during development/testing.
|
||||
|
||||
## Known architectural gap
|
||||
|
||||
`BowlingCameraActivity` is reachable two ways today: directly (e.g. via `adb`/launcher shortcut) and from the native menu's `Menu3State` via `PlatformBridge`. Per in-code comments, the direct-launch path exists because the feature isn't yet fully wired into the menu's visual flow — this should converge as the menu integration matures.
|
||||
|
||||
## Build & deployment
|
||||
|
||||
- Single Gradle module (`app`), AGP + CMake (`externalNativeBuild`) for the native library, targeting `arm64-v8a`, `armeabi-v7a`, `x86`, `x86_64`.
|
||||
- No CI/CD pipeline exists yet — see `docs/deliverables.md` for the CI/CD deliverable and milestone target.
|
||||
- No backend/server component exists; the app is fully on-device (no network calls in the current codebase).
|
||||
@@ -0,0 +1,29 @@
|
||||
# Technical Deliverables & Ownership
|
||||
|
||||
> **TODO (team):** Fill in real owner names and confirm/adjust milestone dates. The breakdown below is a first-pass mapping of the *existing* codebase into deliverables, derived from the current architecture (see `architecture.md`), so the team has a concrete starting point to assign in Jira rather than starting from a blank page. Contributor branches observed in git history: `Gabriel`, `Harine`, `Khalil`, `QiYing`, `YongWei's-Branch`, `au-au`, `jingwen` — use these as a hint for who's already been working in which area, not as a final assignment.
|
||||
|
||||
## How to use this doc
|
||||
|
||||
Each deliverable below should become one **Jira Epic**. Break each into Stories/Tasks under that epic, assign an owner per story, and link the epic back to the relevant row here (add the Jira link in the "Jira Epic" column once created).
|
||||
|
||||
## Deliverables
|
||||
|
||||
| # | Deliverable | Description | Owner | Jira Epic | M1 | M2 | M3 |
|
||||
|---|---|---|---|---|---|---|---|
|
||||
| 1 | **Native menu shell** | OpenGL ES 3.0 game-state menu (`GameStateManager`, states, `UIRenderer`, `PlatformBridge`) | TBD | TBD | Menu states render and navigate; touch input works | `Menu3State` fully launches bowling flow (menu integration gap closed) | Polish: transitions, settings persistence, no dropped frames |
|
||||
| 2 | **Camera capture pipeline** | CameraX integration (`CameraXController`, `CameraViewModel`, `CameraPermissions`) | TBD | TBD | Preview + front/back switch working on a real device | Stable recording with audio track; portrait + landscape | Robustness across device models; error handling for camera/permission edge cases |
|
||||
| 3 | **Pose detection & landmark processing** | ML Kit integration, smoothing (`PoseAnalyzer`, `PoseLandmarkSmoother`, `AnkleHipMovingAverageFilter`, `PoseFrame`) | TBD | TBD | Raw landmarks streamed from camera frames | Smoothing tuned to reduce jitter | Accuracy validated against recorded test sessions |
|
||||
| 4 | **Step & phase detection** | `LiveStepDetector`, `StepDetector`, `StepCountingSession`, `PosePhaseDetector` | TBD | TBD | Step count works for a straight-line approach | Phase segmentation (stance/approach/release) accurate for standard 4-5 step approaches | Edge cases (different approach lengths/styles) handled |
|
||||
| 5 | **Joint angle analysis** | `PoseAngleCalculator` | TBD | TBD | Ankle/hip angle computed at one key frame | Angles computed across full phase set | Feedback thresholds tuned against real coaching input |
|
||||
| 6 | **Pose overlay rendering** | `PoseOverlayView`, `PoseSkeletonRenderer` | TBD | TBD | Skeleton draws over live preview | Overlay stays in sync at speed/rotation | Visual polish (styling, confidence-based rendering) |
|
||||
| 7 | **Session feedback UI** | `FeedbackUI`, `StepCounterUiController` | TBD | TBD | Step count visible on screen | Phase + angle feedback surfaced live | Full session summary screen |
|
||||
| 8 | **Debug/session logging & tuning tools** | `DebugSessionLogger`, `DetectorSettings`, `ParameterEditorActivity`, `AdminAuth`/`AdminLoginPrompt` | TBD | TBD | Session data logged to file | Parameter editor allows live threshold tuning | Admin gating hardened; logs exportable for review |
|
||||
| 9 | **Documentation & repo hygiene** | `README.md`, `docs/`, `.gitignore`, repo structure | Harine (initial scaffold) | TBD | Docs skeleton + README exist (this commit) | Architecture/deliverables kept in sync with code changes | Docs reviewed each milestone; onboarding-tested by a teammate |
|
||||
| 10 | **CI/CD** | Automated build/test pipeline (`.github/workflows/`) | TBD | TBD | Basic workflow: build APK on push/PR | Add unit test run to pipeline | Add instrumented test run and/or lint/static analysis gate |
|
||||
| 11 | **Testing** | Unit + instrumented tests (`app/src/test`, `app/src/androidTest`) | TBD | TBD | Replace template stub tests with real coverage of at least one detector | Coverage for step/phase detection logic | Coverage for camera/UI integration paths where feasible |
|
||||
|
||||
## Milestone definitions (fill in actual dates)
|
||||
|
||||
- **M1 — Target date: TBD:** Core pipeline demonstrable end-to-end (capture → pose → step count) on a real device, even if rough.
|
||||
- **M2 — Target date: TBD:** Feature-complete for the core bowling analysis flow (phases, angles, feedback UI), menu integration closed, basic CI running.
|
||||
- **M3 — Target date: TBD:** Polish, testing, and hardening pass; documentation finalized; ready for demo/submission.
|
||||
@@ -0,0 +1,36 @@
|
||||
# Product Design
|
||||
|
||||
## Overview
|
||||
|
||||
PinPoint is a mobile coaching aid for tenpin bowlers. It watches a bowler's approach through the phone's camera, tracks their body in real time using pose detection, and reports on the mechanics of their delivery — steps taken, timing, and joint angles at key phases — so a bowler (or their coach) can spot form issues without a human observer.
|
||||
|
||||
## Current features (as implemented)
|
||||
|
||||
- **Live camera capture** of the bowler's approach (front or back camera, switchable mid-session), landscape or portrait.
|
||||
- **Real-time pose overlay** — a skeleton drawn over the camera preview from detected body landmarks.
|
||||
- **Step detection** — counts steps taken during the approach from landmark motion.
|
||||
- **Delivery phase detection** — segments the approach into phases (e.g. stance, approach steps, release) for phase-specific analysis.
|
||||
- **Joint angle calculation** — computes relevant joint angles (e.g. ankle/hip) at points of interest.
|
||||
- **Landmark smoothing** — filters raw pose landmarks (moving-average / smoothing) to reduce jitter before analysis.
|
||||
- **Session feedback UI** — surfaces step count, phase, and feedback to the user during/after a session.
|
||||
- **Debug session logging** — records session data for later review/tuning of the detection logic.
|
||||
- **Adjustable detector parameters** — an admin-gated screen for tuning detection thresholds during development/testing.
|
||||
- **Native menu shell** — a separate OpenGL-based menu/game-state system (`MainActivity`), currently not yet wired to launch directly into the bowling camera flow from the UI (see `docs/architecture.md`).
|
||||
|
||||
## Target users
|
||||
|
||||
- Individual bowlers wanting self-guided form feedback without a coach present.
|
||||
- Coaches wanting a quick, repeatable way to capture and review a bowler's mechanics.
|
||||
|
||||
## Out of scope (current version)
|
||||
|
||||
- Cloud sync / multi-device history.
|
||||
- Automated scoring against a "correct form" reference model.
|
||||
- iOS support.
|
||||
|
||||
## UI/UX
|
||||
|
||||
See [`ui-ux/`](ui-ux/) for wireframes, screen flows, and mockups. As of this commit that folder is a placeholder — the team should add:
|
||||
|
||||
- A flow diagram of the menu → bowling capture screen navigation.
|
||||
- Screenshots or mockups of: main menu, bowling camera screen (portrait + landscape), settings/parameter editor, and feedback UI.
|
||||
@@ -0,0 +1,10 @@
|
||||
# UI/UX assets
|
||||
|
||||
Place wireframes, user-flow diagrams, and mockups for PinPoint here (images, exported PDFs, or links to a design tool like Figma).
|
||||
|
||||
This folder is currently empty — add assets covering at least:
|
||||
|
||||
- Menu navigation flow (`MainActivity` native menu states → `BowlingCameraActivity`)
|
||||
- Bowling camera screen, portrait and landscape layouts
|
||||
- Feedback/step-counter UI overlay
|
||||
- Settings / parameter editor screen
|
||||
@@ -0,0 +1,16 @@
|
||||
# Project Proposal
|
||||
|
||||
> **TODO:** Paste in the team's original submitted proposal here (verbatim, or a cleaned-up version with the same content). This file was scaffolded automatically as part of the required `docs/` structure and does not yet contain the actual submitted proposal text.
|
||||
|
||||
## Suggested sections to include
|
||||
|
||||
- Problem statement / motivation
|
||||
- Target users
|
||||
- Proposed solution and key features
|
||||
- Scope (in-scope vs. out-of-scope for this project)
|
||||
- Success criteria
|
||||
- Team members and roles
|
||||
|
||||
## Working summary (placeholder, derived from the current codebase — replace with the real proposal)
|
||||
|
||||
PinPoint (working name "BowlEye" in code) is an Android app that helps bowlers improve their approach and delivery form by recording video through the phone camera, running on-device pose detection (ML Kit) to track body landmarks in real time, and giving feedback on step timing, joint angles, and delivery phase.
|
||||
@@ -1,5 +1,5 @@
|
||||
[versions]
|
||||
agp = "9.4.0"
|
||||
agp = "9.1.1"
|
||||
coreKtx = "1.18.0"
|
||||
junit = "4.13.2"
|
||||
junitVersion = "1.3.0"
|
||||
@@ -30,10 +30,9 @@ androidx-camera-effects = { group = "androidx.camera", name = "camera-effects",
|
||||
androidx-lifecycle-viewmodel-ktx = { group = "androidx.lifecycle", name = "lifecycle-viewmodel-ktx", version.ref = "lifecycle" }
|
||||
androidx-lifecycle-runtime-ktx = { group = "androidx.lifecycle", name = "lifecycle-runtime-ktx", version.ref = "lifecycle" }
|
||||
androidx-activity-ktx = { group = "androidx.activity", name = "activity-ktx", version.ref = "activityKtx" }
|
||||
mlkit-pose-detection-accurate = { group = "com.google.mlkit", name = "pose-detection-accurate", version.ref = "mlkitPoseDetection" }
|
||||
mlkit-pose-detection = { group = "com.google.mlkit", name = "pose-detection", version.ref = "mlkitPoseDetection" }
|
||||
mlkit-pose-detection-accurate = { group = "com.google.mlkit", name = "pose-detection-accurate", version.ref = "mlkitPoseDetection" }
|
||||
kotlinx-coroutines-android = { group = "org.jetbrains.kotlinx", name = "kotlinx-coroutines-android", version.ref = "kotlinxCoroutines" }
|
||||
|
||||
[plugins]
|
||||
android-application = { id = "com.android.application", version.ref = "agp" }
|
||||
|
||||
android-application = { id = "com.android.application", version.ref = "agp" }
|
||||
+1
-1
@@ -2,7 +2,7 @@
|
||||
distributionBase=GRADLE_USER_HOME
|
||||
distributionPath=wrapper/dists
|
||||
distributionSha256Sum=b266d5ff6b90eada6dc3b20cb090e3731302e553a27c5d3e4df1f0d76beaff06
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-9.6.0-bin.zip
|
||||
distributionUrl=https\://services.gradle.org/distributions/gradle-9.3.1-bin.zip
|
||||
networkTimeout=10000
|
||||
validateDistributionUrl=true
|
||||
zipStoreBase=GRADLE_USER_HOME
|
||||
|
||||
Reference in New Issue
Block a user