Update app.py

app.py

@@ -36,14 +36,15 @@ async def detect_objects(images):
     for image, detection in zip(processed_images, results_detection):
         names = []
         if detection:
+            i = 0
             for box in detection.boxes:
                 x1, y1, x2, y2 = map(int, box.xyxy[0])
                 cropped_img = image[y1:y2, x1:x2]
                 resized_img = cv2.resize(cropped_img, (640, 640))
                 resized_img = cv2.cvtColor(resized_img, cv2.COLOR_BGR2RGB)
-
+                cv2.imwrite(f'resized_{i}.png',resized_img)
                 results_classification = model_classification.predict(resized_img)
-                
+                i+=1
                 if results_classification:
                     top1_class = results_classification[0].probs.top1
                     names.append(classes[top1_class])