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Getting Started

Running

cd lgss
python run.py config/xxx.py

run.py is the main process, which is encapsulated and controlled by config files. Every running process creates a run folder containing experiments logs. And we prepare a script gen_csv.py to automaticly generate a csv file with desired setting and results records.

Test with pretrained models

Please set up the config file in run folders and set trainFlag as False and testFlag as True.

python run.py ../run/xxx/xxx.py

This will automatically load the best model in the experiment_name folder.

If you wish to use a specific model, please use resume to include the model path.

Use different semantic elements

Modify the config file set dataset name as all and change the mode according to the preference

dataset = dict(
    name = "all",
    mode=['place','cast','act','aud'],
)

Preprocessing

It is able to follow the following codes to process the data. Remember to read the argparase to choose an ideal setting.

cd pre
python ShotDetect/shotdetect.py # Cut shot 
python place/extrac_feat.py     # Extract place feature
python audio/extrac_feat.py     # Extract audio feature

And the full feature extraction is updated in movienet-tools

Demo

Preparation

  • pytube is to download YouTube video. Install with pip install pytube3 --upgrade
  • FFMPEG is to cut scene video and it is usually installed by your OS

Run

cd pre
python demodownload.py ## Download a YouTube video with pytube
python ShotDetect/shotdetect.py --print_result --save_keyf --save_keyf_txt ## Cut shot 
cd ../lgss
python run.py config/demo.py ## Cut scene

Notice

The video link in the pre/demodownload.py might be invalid as time goes, and it may change to your own.

The demo code only use the image place feature for simplicity and casues inferior performance. It may change the threshold here to have a slight modification. The higher the threshold, the less scene it will generate. scene_dict, scene_list = pred2scene(cfg, threshold=0.8)

pre/ShotDetect is developed based on PySceneDetect. The shot detector is optimized to suit for movie. Parallel shot detection shotdetect_p.py is also included for future usage.