Flutter Computer Vision

This app is built to test AI object detection in Flutter by detecting people in an image.
It uses the Counting people Computer Vision Model by @pequi on Roboflow.
Technologies used in this project include Flutter and Roboflow AI Model.

Links

Packages

Screenshots

Project Structure

lib
│ main.dart
│
└───src
├───core
│ ├───components
│ │ detection_info_bottom_sheet.dart
│ │ image_picker_alert_dialog.dart
│ │
│ ├───config
│ │ app_config.dart
│ │
│ ├───constants
│ │ app_border_radiuses.dart
│ │ app_paddings.dart
│ │
│ ├───exceptions
│ │ app_exception.dart
│ │
│ ├───extensions
│ │ detection_capture_scheduler_extension.dart
│ │ detection_image_boxes_extension.dart
│ │ detection_image_file_extension.dart
│ │ detection_object_ui_extension.dart
│ │ extensions_export.dart
│ │
│ ├───helpers
│ │ confidence_color_helper.dart
│ │
│ ├───services
│ │ env_service.dart
│ │ image_picker_service.dart
│ │ permission_service.dart
│ │
│ └───theme
│ app_colors.dart
│ app_theme.dart
│
└───features
└───detection_view
├───model
│ detection_object.dart
│ request_model.dart
│ response_model.dart
│
├───service
│ detection_service.dart
│
├───view
│ detection_view.dart
│
├───viewmodel
│ detection_viewmodel.dart
│ detection_viewmodel.g.dart
│
└───widgets
confidence_metric_card.dart
detected_object_list_tile.dart
detection_image_with_boxes.dart
donut_confidence_chart.dart
metric_card.dart
zoomable_detection_image.dart

Environment Variables

Before running the app, create a .env file in the project root and fill it with your Roboflow credentials/config values. These values are required for flutter run to work properly.

ROBOFLOW_API_KEY=ROBOFLOW_WORKSPACE_SLUG=ROBOFLOW_WORKFLOW_ID=

Installation

1. Clone the repository:
   git clone https://github.com/MegrurNiftiyev/flutter_computer_vision.git

2. Install dependencies:
   dart pub get

3. Run the application:
   flutter run