| defaults: | |
| - _self_ | |
| - model: base | |
| - override hydra/job_logging: custom-no-rank.yaml | |
| hydra: | |
| run: | |
| dir: ../output/${exp_id}/${dataset} | |
| output_subdir: ${now:%Y-%m-%d_%H-%M-%S}-hydra | |
| amp: False | |
| weights: pretrained_models/matanyone.pth # default (can be modified from outside) | |
| output_dir: null # defaults to run_dir; specify this to override | |
| flip_aug: False | |
| # maximum shortest side of the input; -1 means no resizing | |
| # With eval_vos.py, we usually just use the dataset's size (resizing done in dataloader) | |
| # this parameter is added for the sole purpose for the GUI in the current codebase | |
| # InferenceCore will downsize the input and restore the output to the original size if needed | |
| # if you are using this code for some other project, you can also utilize this parameter | |
| max_internal_size: -1 | |
| # these parameters, when set, override the dataset's default; useful for debugging | |
| save_all: True | |
| use_all_masks: False | |
| use_long_term: False | |
| mem_every: 5 | |
| # only relevant when long_term is not enabled | |
| max_mem_frames: 5 | |
| # only relevant when long_term is enabled | |
| long_term: | |
| count_usage: True | |
| max_mem_frames: 10 | |
| min_mem_frames: 5 | |
| num_prototypes: 128 | |
| max_num_tokens: 10000 | |
| buffer_tokens: 2000 | |
| top_k: 30 | |
| stagger_updates: 5 | |
| chunk_size: -1 # number of objects to process in parallel; -1 means unlimited | |
| save_scores: False | |
| save_aux: False | |
| visualize: False | |