Project-MONAI / Project-MONAI/MONAILabel
Only one channel is recognized out of 15 channels
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- Dominant language
- Python
- Stars
- 891
- Forks
- 269
- Avg merge
- 15h 41m
- Merged PRs (30d)
- 1
Description
[2024-03-10 14:28:38,126] [18300] [MainThread] [INFO] (main:61) - Result: {"rank": 0, "current_epoch": 2000, "current_iteration": 24000, "total_epochs": 2000, "total_iterations": 12, "epoch": 2000, "start_ts": 1710020807, "total_time": "8:41:50", "best_metric": 0.787301242351532, "train": {"metrics": {"train_mean_dice": 0.8769383430480957, "train_nodule_mean_dice": 0.0, "train_bone_mean_dice": 0.0, "train_aorta_mean_dice": 0.0, "train_pulmonary_artery_mean_dice": 0.0, "train_pulmonary_vein_mean_dice": 0.0, "train_vein_mean_dice": 0.0, "train_trachea_mean_dice": 0.0, "train_esophagus_mean_dice": 0.0, "train_heart_mean_dice": 0.0, "train_lung_upper_lobe_left_mean_dice": 0.0, "train_lung_lower_lobe_left_mean_dice": 0.0, "train_lung_upper_lobe_right_mean_dice": 0.0, "train_lung_middle_lobe_right_mean_dice": 0.0, "train_lung_lower_lobe_right_mean_dice": 0.0, "train_skin_mean_dice": 0.9323155283927917}, "key_metric_name": "train_mean_dice", "best_metric": 0.9949172139167786, "best_metric_epoch": 1851}, "eval": {"metrics": {"val_mean_dice": 0.7803362011909485, "val_nodule_mean_dice": 0.0, "val_bone_mean_dice": 0.0, "val_aorta_mean_dice": 0.0, "val_pulmonary_artery_mean_dice": 0.0, "val_pulmonary_vein_mean_dice": 0.0, "val_vein_mean_dice": 0.0, "val_trachea_mean_dice": 0.0, "val_esophagus_mean_dice": 0.0, "val_heart_mean_dice": 0.0, "val_lung_upper_lobe_left_mean_dice": 0.0, "val_lung_lower_lobe_left_mean_dice": 0.0, "val_lung_upper_lobe_right_mean_dice": 0.0, "val_lung_middle_lobe_right_mean_dice": 0.0, "val_lung_lower_lobe_right_mean_dice": 0.0, "val_skin_mean_dice": 0.9444830417633057}, "key_metric_name": "val_mean_dice", "best_metric": 0.787301242351532, "best_metric_epoch": 1669}}
[2024-03-10 14:28:39,100] [13122] [ThreadPoolExecutor-1_0] [INFO] (monailabel.utils.async_tasks.utils:83) - Return code: 0
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The report provides training logs and screenshots, but no file, test, or entry point is identified. Start by reproducing the run that reports nonzero metrics only for the skin channel and trace how the 15 channels are configured and evaluated. Done means identifying the cause and verifying that each expected channel is recognized and produces metrics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100