good first issue
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Description
What's the feature?
I'm running training sessions based on the REDET base config with an added WANDB hook:
base_cfg.log_config.hooks = [
dict(type='TextLoggerHook'),
dict(type='TensorboardLoggerHook'),
dict(type='MMDetWandbHook',
init_kwargs=train_cfg['wandb_config'],
interval=10,
log_checkpoint=False,
log_checkpoint_metadata=False,
num_eval_images=100,
bbox_score_thr=0.3)
]
Currently the WANDB hook only reports mAP for validation epochs
I need to track recall as well, which is calculated and available in the training log, but not in WANDB. Ideally, I'd like to also see recall and precision for various classes and object sizes.
Am I missing something about the hook? Do I need to create a new hook? If I do, how do I access all available metrics?
Any other context?
No response