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Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: Dowon <ks2515@naver.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
919 B
919 B
comments, description
| comments | description |
|---|---|
| true | Learn about the Vision Transformer (ViT) and segment anything with SAM models. Train and use pre-trained models with Python API. |
Vision Transformers
Vit models currently support Python environment:
from ultralytics.vit import SAM
# from ultralytics.vit import MODEL_TYPE
model = SAM("sam_b.pt")
model.info() # display model information
model.predict(...) # predict
Segment Anything
About
Supported Tasks
| Model Type | Pre-trained Weights | Tasks Supported |
|---|---|---|
| sam base | sam_b.pt |
Instance Segmentation |
| sam large | sam_l.pt |
Instance Segmentation |
Supported Modes
| Mode | Supported |
|---|---|
| Inference | ✔️ |
| Validation | ❌ |
| Training | ❌ |