D-FINE¶
Category: model.detection.2d
Version: 1.0.0
UUID: 06ff3d46b7a3a84c1d859c3366b6d326ae967047aa37deed7e72780681f24f44
Execution context: leip_af
Choice Priority: 0.5
Subcomponent Parameters¶
| Name | Synonyms | Allowable Categories |
|---|---|---|
| Optimizer | optimization.optimizer |
optimization.optimizer.rtdetr |
Value Parameters¶
| Name | Synonyms | Type | Values |
|---|---|---|---|
| Input Height | model.input.height |
scalar | int, min: 1 |
| Input Width | model.input.width |
scalar | int, min: 1 |
| Freeze Backbone | model.backbone.freeze |
scalar | bool |
| Learning rate | optimization.scheduler.final_learning_rate |
scalar | float |
| Model Architecture | model.variation,model.backbone,model.architecture |
choice | 9 choices |
| Top queries to use | post_processor.max_detections,post_processor.max_det_per_image |
scalar | int, min: 0 |
| Use Pretrained Backbone | model.use_pretrained,model.backbone.use_pretrained |
scalar | bool |
Constraints¶
- Data for D-FINE models should be normalized with 'yolo' (
data.normalization== 'yolo')
This component fits into¶
| Name | UUID | Synonyms |
|---|---|---|
| Full Recipe | 8b4b05... |
model |
Extra options¶
Model Architecture¶
D-FINE-N (Nano)D-FINE-S (Small)D-FINE-M (Medium)D-FINE-L (Large)D-FINE-X (Extra Large)D-FINE-S-O (Small - Objects365)D-FINE-M-O (Medium - Objects365)D-FINE-L-O (Large - Objects365)D-FINE-X-O (Extra Large - Objects365)