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Check out the documentation for more information.
Checkpoints
This directory holds all pretrained and finetuned model weights for DeepSparse, plus their training configs.
Note: This directory is excluded from the git repository. Checkpoints are hosted on HuggingFace: HajihajihaJimmy/DeepSparse
Folder Layout
Each checkpoint folder contains two files:
logs/
pretrain/
ep_700.pth Pretrained foundation model (AtlasAbdomenMini, epoch 700)
config.yaml Model + dataset config used at inference
{dataset}+{n}v+s2/
ep_400.pth Finetuned model โ dataset, n input views, Stage 2
config.yaml Model + dataset config used at inference
evaluate.py automatically reads ./logs/{name}/config.yaml when --cfg_path is not provided.
Checkpoint Map
| Folder | Anatomy | Views | Original training run |
|---|---|---|---|
pretrain/ |
โ (pretraining) | 6โ24 | atlas_7k+mv+rv |
abdomen+6v+s2/ |
Abdomen (PANORAMA) | 6 | atlas_7k+mv+rv+s1+ep7+abdomen+6v+s2 |
abdomen+8v+s2/ |
Abdomen (PANORAMA) | 8 | atlas_7k+mv+rv+s1+ep7+abdomen+8v+s2 |
abdomen+10v+s2/ |
Abdomen (PANORAMA) | 10 | atlas_7k+mv+rv+s1+ep7+abdomen+10v+s2 |
pelvis+6v+s2/ |
Pelvis (PENGWIN) | 6 | atlas_7k+mv+rv+s1+ep7+pelvis+6v+s2 |
pelvis+8v+s2/ |
Pelvis (PENGWIN) | 8 | atlas_7k+mv+rv+s1+ep7+pelvis+8v+s2 |
pelvis+10v+s2/ |
Pelvis (PENGWIN) | 10 | atlas_7k+mv+rv+s1+ep7+pelvis+10v+s2 (best at training ep 300) |
tooth+6v+s2/ |
Tooth (ToothFairy) | 6 | atlas_7k+mv+rv+s1+ep7+tooth+6v+s2 |
tooth+8v+s2/ |
Tooth (ToothFairy) | 8 | atlas_7k+mv+rv+s1+ep7+tooth+8v+s2 |
tooth+10v+s2/ |
Tooth (ToothFairy) | 10 | atlas_7k+mv+rv+s1+ep7+tooth+10v+s2 |
luna+6v+s2/ |
Lung (LUNA16) | 6 | atlas_7k+mv+rv+ft_s1+ep7+s2 |
luna+8v+s2/ |
Lung (LUNA16) | 8 | atlas_7k+mv+rv+s1+ep7+8v+s2 |
luna+10v+s2/ |
Lung (LUNA16) | 10 | atlas_7k+mv+rv+s1+ep7+10v+s2 |
Usage
All evaluation scripts expect checkpoints at logs/{name}/ep_{epoch}.pth. The default epoch for inference is 400 (set via --epoch 400 in evaluate_s2.sh).
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