getImagePredictionFromBytesList method

Future<List<ResultObjectDetection?>> getImagePredictionFromBytesList(
  1. List<Uint8List> imageAsBytesList,
  2. int imageWidth,
  3. int imageHeight, {
  4. double minimumScore = 0.5,
  5. double IOUThershold = 0.5,
  6. int boxesLimit = 10,
})

Runs batch object detection and returns filtered results.

Processes multiple images in a single batch for improved performance. Returns detections that meet the specified confidence thresholds.

@param imageAsBytesList List of raw image bytes @param imageWidth The width to resize images to @param imageHeight The height to resize images to @param minimumScore Minimum confidence score for detections (0.0-1.0) @param IOUThershold Maximum overlap allowed between detections @param boxesLimit Maximum number of detections to return @return A Future that completes with a list of detection results

Implementation

Future<List<ResultObjectDetection?>> getImagePredictionFromBytesList(
    List<Uint8List> imageAsBytesList, int imageWidth, int imageHeight,
    {double minimumScore = 0.5,
    double IOUThershold = 0.5,
    int boxesLimit = 10}) async {
  List<ResultObjectDetection?> prediction = await ModelApi()
      .getImagePredictionListObjectDetection(_index, null, imageAsBytesList,
          imageWidth, imageHeight, minimumScore, IOUThershold, boxesLimit);

  for (var element in prediction) {
    element?.className = labels[element.classIndex];
  }

  return prediction;
}