Running render_scene in Jupyter notebook throws error

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Hey,

I've found an issue related to render_scene function, running it in Jupyter notebook throws following error:

```
---------------------------------------------------------------------------
error Traceback (most recent call last)
in
----> 1 level5data.render_scene(my_scene['token'])

/opt/conda/lib/python3.6/site-packages/lyft_dataset_sdk/lyftdataset.py in render_scene(self, scene_token, freq, imwidth, out_path)
507
508 def render_scene(self, scene_token: str, freq: float = 10, imwidth: int = 640, out_path: str = None) -> None:
--> 509 self.explorer.render_scene(scene_token, freq, image_width=imwidth, out_path=out_path)
510
511 def render_scene_channel(

/opt/conda/lib/python3.6/site-packages/lyft_dataset_sdk/lyftdataset.py in render_scene(self, scene_token, freq, image_width, out_path)
1154
1155 window_name = "{}".format(scene_rec["name"])
-> 1156 cv2.namedWindow(window_name)
1157 cv2.moveWindow(window_name, 0, 0)
1158

error: OpenCV(4.1.0) /io/opencv/modules/highgui/src/window.cpp:610: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvNamedWindow'
```

Running the same function in a python script works perfectly fine.
Here's my Kaggle kernel which you can copy and rerun to produce the error:
https://www.kaggle.com/rishabhiitbhu/eda-understanding-the-dataset

Reproduce the Kaggle notebook example and read lyftdataset.py around render_scene, especially the cv2.namedWindow call shown in the traceback. Determine how the Jupyter environment differs from a script, then verify that render_scene completes in a notebook without the reported OpenCV error while still working from a Python script.

Written by the indexing model from the issue text.