How to train my own data set?

[lingyixia]

Could you please share a pipline for pre-preparing a new data for training?

[zjr2000]

1. Prepare the annotation file:

   train_caption_file: training corpus, refer to this file
   val_caption_file: validation corpus, refer to this file
   eval_gt_file_for_grounding: validation file for video grounding, refer to this file
   dict_file: vocabulary file of your dataset, refer to this file

2. Prepare the features: Gather each video's features into a .npy file, with the format L * D, where L denotes temporal resolution and D represents the feature dimension. Store these files in a single designated folder for streamlined access.

3. Prepare the .yaml file: Create a configuration file for training by modifying the existing cfg file. You can start with the template provided at: Configuration File Template and adjust it using the annotation details mentioned above.

[hipeng-tech]

hi，thanks for your work, I have a question that in the train_capion_file ,what does the "area"stands for?