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# Sapiens: Body Part + Face Segmentation
## Body Part: Model Zoo
We use 28 classes for body-part segmentation along with the background class.
You can checkout more details on the classes [here](../seg/mmseg/datasets/goliath.py#L37).
```
0: Background
1: Apparel
2: Face_Neck
3: Hair
4: Left_Foot
5: Left_Hand
6: Left_Lower_Arm
7: Left_Lower_Leg
8: Left_Shoe
9: Left_Sock
10: Left_Upper_Arm
11: Left_Upper_Leg
12: Lower_Clothing
13: Right_Foot
14: Right_Hand
15: Right_Lower_Arm
16: Right_Lower_Leg
17: Right_Shoe
18: Right_Sock
19: Right_Upper_Arm
20: Right_Upper_Leg
21: Torso
22: Upper_Clothing
23: Lower_Lip
24: Upper_Lip
25: Lower_Teeth
26: Upper_Teeth
27: Tongue
```
The body-part segmentation model checkpoints are available at,
| Model | Checkpoint Path
|---------------|--------------------------------------------------------------------------------------------------
| Sapiens-0.3B | `$SAPIENS_CHECKPOINT_ROOT/seg/checkpoints/sapiens_0.3b/sapiens_0.3b_goliath_best_goliath_mIoU_7673_epoch_194.pth`
| Sapiens-0.6B | `$SAPIENS_CHECKPOINT_ROOT/seg/checkpoints/sapiens_0.6b/sapiens_0.6b_goliath_best_goliath_mIoU_7777_epoch_178.pth`
| Sapiens-1B | `$SAPIENS_CHECKPOINT_ROOT/seg/checkpoints/sapiens_1b/sapiens_1b_goliath_best_goliath_mIoU_7994_epoch_151.pth`
## Body Part: Inference Guide
- Navigate to your script directory:
```bash
cd $SAPIENS_ROOT/seg/scripts/demo/local
```
- For part segmentation (uncomment your model config line):
```bash
./seg.sh
```
Define `INPUT` for your image directory and `OUTPUT` for results.
The predictions will be visualized as (.jpg or .png) files, the foreground boolean masks and segmentation probabilities will be stored as .npy files in `OUTPUT` directory.
These .npy will be used in depth and surface normal visualization.
Adjust `JOBS_PER_GPU`, `TOTAL_GPUS` and `VALID_GPU_IDS` for multi-GPU configurations.
<p align="center">
<img src="../assets/seg.gif" alt="Body Part Segmentation" width="800" style="margin-right: 10px;"/>
</p>
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