2Inference.py

async function cropImage(imageUri, topLeftCoords, bottomRightCoords) {
  const { uri } = await ImageManipulator.manipulateAsync(
    imageUri,
    [
      {
        crop: {
          originX: topLeftCoords.x,
          originY: topLeftCoords.y,
          width: bottomRightCoords.x - topLeftCoords.x,
          height: bottomRightCoords.y - topLeftCoords.y,
        },
      },
    ],
    { compress: 1, format: ImageManipulator.SaveFormat.JPEG }
  );
  return uri;
}

export class ModelService {
  // ... (existing code)

  async classifyCroppedImages(image: ImageManipulator.ImageResult, topLeftCoords1, bottomRightCoords1, topLeftCoords2, bottomRightCoords2): Promise<IModelPredictionResponse[]> {
    const croppedImageUri1 = await cropImage(image.uri, topLeftCoords1, bottomRightCoords1);
    const croppedImageUri2 = await cropImage(image.uri, topLeftCoords2, bottomRightCoords2);

    const croppedImage1: ImageManipulator.ImageResult = await ImageManipulator.manipulateAsync(
      croppedImageUri1,
      [],
      { base64: true }
    );

    const croppedImage2: ImageManipulator.ImageResult = await ImageManipulator.manipulateAsync(
      croppedImageUri2,
      [],
      { base64: true }
    );

    const [predictionResponse1, predictionResponse2] = await Promise.all([
      this.classifyImage(croppedImage1),
      this.classifyImage(croppedImage2),
    ]);

    return [predictionResponse1, predictionResponse2];
  }
}