我正在用 python 开发一些强化学习算法，我正在尝试将环境录制到视频中，但是一旦我录制了文件并且它只有 1KB 大小，我就无法播放该文件，我尝试了一个我在网上找到的示例和这也不起作用所以我认为这是一个系统问题而不是我的代码问题，我已经通过运行启用了调试，gym.logger.set_level(gym.logger.DEBUG)但这似乎没有通过任何有用的东西，下面是我的代码
def replay_episode(self):
self._env.reset()
video_recorder = VideoRecorder(self._env, "{}/episode{}.mp4".format(self._output_directory, episode_number), enabled=True)
for action_taken in self._current_episode_actions:
self._env.render()
video_recorder.capture_frame()
self._env.step(action_taken)
video_recorder.close()
for i in range(solution.get_episode_count()):
# AI Stuff
episode_number = i + 1
solution.intialise_episode(episode_number)
profiler.enable()
while not solution.current_episode_done():
solution.run_tick()
solution.train_model()
profiler.disable()
export_profiling_results(profiler, '{}/episode{}.csv'.format(solution._output_directory, episode_number))
# This is the bit we're intrested in
if solution.current_episode_successful() or episode_number % 50 == 0:
solution.replay_episode()
done_time = time.time()
print("Episode {} Completed in {}s".format(episode_number, done_time-start_time))
start_time = done_time
solution.close()
replay_episode()这是调用该方法时我从环境中获取的日志
DEBUG: Capturing video frame: path=data/1003083349/episode50.mp4
DEBUG: Starting ffmpeg with "ffmpeg -nostats -loglevel error -y -f rawvideo -s:v 600x400 -pix_fmt rgb24 -framerate 30 -i - -vf scale=trunc(iw/2)*2:trunc(ih/2)*2 -vcodec libx264 -pix_fmt yuv420p
-r 30 data/1003083349/episode50.mp4"
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DEBUG: Closing video encoder: path=data/1003083349/episode50.mp4
当我尝试播放视频时，出现错误：This file isn't playable. That might be because the file type is unsupported, the file extension is incorrect, or the file is corrupt. 0xc10100be
提前感谢您的任何回复