questions about the paths and files

[Andantino97]

Hi, thank you for your dataset and the source code, I wanna replicate this work with your code, but I am confused about the paths in config.py. I want to know what kinds of data has been used to train the model. In your paper Revisiting Video Saliency: A Large-scale Benchmark and a New Model ,you said that you have used the static dataset SALICON to train the attention module, and in your code there are several paths. Could you tell me:

• which paths are the video dataset's path and which is for the SALICON? Do you mean that frames_path is all the frames extracted from the video, and imgs_path is for the data in SALICON?
• do I need to extract all frames from the videos by myself?

related code are as follows:

# path of training videos
videos_train_paths = ['D:/code/attention/DHF1K/training/']
# path of validation videos
videos_val_paths = ['D:/code/attention/DHF1K/val/']
videos_test_path = 'D:/code/attention/DHF1K/testing/'

# path of training maps
maps_path = '/maps/'
# path of training fixation maps
fixs_path = '/fixation/maps/'

frames_path = '/images/'

# path of training images
imgs_path = 'D:/code/attention/staticimages/training/'

Thankyou.