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