Create 2Inference.py

2Inference.py

@@ -0,0 +1,45 @@
+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];
+  }
+}