FLUTTER FLOW - FLUTTER - GITHUB -- 2

If yes to these three questions then read the description and contact me.
1) Do you know the low-code tool FlutterFlow 2) Do you know how to implement custom Flutter in FlutterFlow 3) Do you have experience doing items 1 and 2 above using Github Again I want to use FlutterFlow for the overall development.
To continually upload video frames to Kinesis Video Streams so that the camera can run for hours, you'll need to handle video data in smaller chunks or segments and continuously stream these to Kinesis.
This involves.
1.
**Segmenting Video Data**.
Capture video frames in chunks, encode each chunk, and upload each chunk as soon as it's ready.
2.
**Streaming in Real-Time**.
Continuously upload chunks to Kinesis Video Streams in a loop, ensuring minimal delay.
Here’s a more detailed approach to achieve this.
### Step-by-Step Implementation 1.
**Add Dependencies**   Ensure you have the necessary dependencies in your `[login to view URL]` file.
```yaml   dependencies.
flutter.
sdk.
flutter    camera.
^    flutter_ffmpeg.
^0.
.
   path_provider.
^    http.
^ # For making HTTP requests   ``` 2.
**Initialize Camera and AWS SDK**   Initialize the camera in your `[login to view URL]` file.
```dart   import 'package.
lutter/[login to view URL]';   import 'package.
amera/[login to view URL]';   List cameras;   CameraController cameraController;   void main() async {    [login to view URL]();    cameras = await availableCameras();    runApp(MyApp());   }   class MyApp extends StatelessWidget {    @override    Widget build(BuildContext context) {     return MaterialApp(     home.
Scaffold(      appBar.
AppBar(       title.
Text('Kinesis Video Stream'),       ),       body.
Center(       child.
VideoRecorder(),       ),      ),     );    }   }   ``` 3.
**Capture Video and Handle Segments**   Implement code to capture video segments and upload them continuously.
```dart   import 'dart.
o';   import 'dart.
onvert';   import 'package.
ttp/[login to view URL]' as http;   import 'package.
lutter_ffmpeg/[login to view URL]';   import 'package.
ath_provider/[login to view URL]';   import 'package.
ath/[login to view URL]' as path;   class VideoRecorder extends StatefulWidget {    @override    _VideoRecorderState createState() => _VideoRecorderState();   }   class _VideoRecorderState extends State {    final FlutterFFmpeg _flutterFFmpeg = FlutterFFmpeg();    bool _isRecording = false;    @override    void initState() {     [login to view URL]();     initializeCamera();    }    Future initializeCamera() async {     cameraController = CameraController(cameras[0], [login to view URL]);     await [login to view URL]();     setState(() {});    }    Future startRecording() async {     if (!_isRecording) {      _isRecording = true;      await _recordAndUploadVideoSegments();     }    }    Future stopRecording() async {     _isRecording = false;     if ([login to view URL]) {      await [login to view URL]();     }    }    Future _recordAndUploadVideoSegments() async {     final directory = await getApplicationDocumentsDirectory();     int segmentIndex = 0;     while (_isRecording) {      final segmentPath = [login to view URL]([login to view URL], 'segment_$[login to view URL]');      await [login to view URL](segmentPath);      await [login to view URL](Duration(seconds.
10)); // Record each segment for 10 seconds      if (_isRecording) {       await [login to view URL]();       final encodedSegmentPath = [login to view URL]([login to view URL], 'encoded_segment_$[login to view URL]');       await _encodeToH265(segmentPath, encodedSegmentPath);       await _uploadToKinesisVideoStream(encodedSegmentPath);       segmentIndex++;      }     }    }    Future _encodeToH265(String inputPath, String outputPath) async {     final arguments = ['-i', inputPath, '-c.
', 'libx265', outputPath];     await [login to view URL](arguments);    }    Future _uploadToKinesisVideoStream(String filePath) async {     // Replace with your actual AWS credentials and stream details     const String accessKey = 'your-access-key';     const String secretKey = 'your-secret-key';     const String sessionToken = 'your-session-token';     const String streamName = 'your-stream-name';     const String region = 'us-east-1';     final String endpoint = 'https://kinesisvideo.$[login to view URL]';     final DateTime now = [login to view URL]().
oUtc();     // Create the request headers for AWS     final Map headers = {      'x-amz-security-token'.
sessionToken,      'Authorization'.
_generateAuthorizationHeader(accessKey, secretKey, now),      'x-amz-date'.
[login to view URL](),      'Content-Type'.
'video/mp4',     };     // Read the encoded video file     final File file = File(filePath);     final List bytes = await [login to view URL]();     // Make the HTTP PUT request to upload the video to Kinesis Video Streams     final [login to view URL] response = await [login to view URL](     [login to view URL]('$endpoint/$streamName'),      headers.
headers,      body.
bytes,     );     if ([login to view URL] == 200) {      print('Video segment uploaded successfully');     } else {      print('Failed to upload video segment.
${[login to view URL]}');      print('Response.
${[login to view URL]}');     }    }    String _generateAuthorizationHeader(String accessKey, String secretKey, DateTime now) {     // Placeholder function to generate AWS Signature Version 4 authorization header     // Implement AWS signature generation logic here     return 'AWS4-HMAC-SHA256 Credential=$accessKey/${_getDate(now)}/us-east-1/kinesisvideo/aws4_request, SignedHeaders=host;x-amz-date, Signature=your-signature';    }    String _getDate(DateTime now) {     return [login to view URL]().
ubstring(0, 8);    }    @override    Widget build(BuildContext context) {     return Column(     mainAxisAlignment.
[login to view URL],      children.
[      if (cameraController != null && [login to view URL])        CameraPreview(cameraController),       SizedBox(height.
20),       ElevatedButton(       onPressed.
startRecording,        child.
Text('Start Recording'),       ),       SizedBox(height.
20),       ElevatedButton(       onPressed.
stopRecording,        child.
Text('Stop Recording and Upload'),       ),      ],     );    }   }   ``` ### Key Points 1.
**Segmenting Video Data**.
Video is captured in segments encoded and uploaded one at a time.
2.
**Continuous Streaming**.
Using a loop to capture and upload segments, the camera can run continuously for hours.
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