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lyft / nuscenes-devkit

Devkit for the public 2019 Lyft Level 5 AV Dataset (fork of https://github.com/nutonomy/nuscenes-devkit)
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Running render_scene in Jupyter notebook throws error #25

Open pyaf opened 4 years ago

pyaf commented 4 years ago

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)
<ipython-input-51-13531c073da2> in <module>
----> 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

ternaus commented 4 years ago

Could you please share an example on how to reproduce the bug?

pyaf commented 4 years ago

Sure, suppose you have an instance of LyftDataset let's call it lyftdata

my_scene = lyftdata.scene[0]
lyftdata.render_scene(my_scene['token'])

The second line throws the error. Note: The error only comes in a jupyter notebook. Not when it is run in a python script.