def GAN_inference(target_name, run_name, target_runname, already_recorded):
record_and_makevideo(target_name, run_name, target_runname,
already_recorded)
video = Video.from_file(os.path.join(dir_name, '../../results/', run_name,
"output.mp4"),
play=True)
return video
def from_file(cls, filename, **kwargs):
"""Create a `VideoStream` from a local file.
Parameters
----------
filename: str
The location of a file to read into the value from disk.
**kwargs
Extra keyword arguments for `VideoStream`
"""
video = Video.from_file(filename, autoplay=False, controls=False)
return cls(video=video, **kwargs)
def from_url(cls, url, **kwargs):
"""Create a `VideoStream` from a url.
This will create a `VideoStream` from a Video using its url
Parameters
----------
url: str
The url of the file that will be used for the .video trait.
**kwargs:
Extra keyword arguments for `VideoStream`
Returns an `VideoStream`.
"""
video = Video.from_url(url, autoplay=False, controls=False)
return cls(video=video, **kwargs)
def from_download(cls, url, **kwargs):
"""Create a `VideoStream` from a url by downloading
Parameters
----------
url: str
The url of the file that will be downloadeded and its bytes
assigned to the value trait of the video trait.
**kwargs:
Extra keyword arguments for `VideoStream`
Returns an `VideoStream` with the value set from the content of a url.
"""
ext = os.path.splitext(url)[1]
if ext:
format = ext[1:]
video = Video(value=urlopen(url).read(), format=format, autoplay=False, controls=False)
return cls(video=video, **kwargs)
def _default_video(self):
return Video(format=self.format, controls=True)