code: def test_apply_model_frames():
      dataset = foz.load_zoo_dataset("quickstart-video")
      view = dataset.take(2)
  
      model = foz.load_zoo_model("inception-v3-imagenet-torch")
      view.apply_model(model, "predictions1", batch_size=8)
      print(view.count_values("frames.predictions1.label"))
  
      model = foz.load_zoo_model("ssd-mobilenet-v1-coco-tf")
      view.apply_model(model, "predictions2")
      print(view.count_values("frames.predictions2.detections.label"))
  
imports: import unittest
  import numpy
  import pytest
  import fiftyone
  import fiftyone.zoo
  import fiftyone.utils.torch
label_desc: Use image node_id 9 for calling a global function with example usage: test_apply_model_frames() without return types