Yolo v5¶
Category: model.detection.2d
Version: 1.0.0
UUID: a7f08e573370cc42366f0bfe25475f455fb6c44c15f186cdb67fdbcde433860c
Execution context: leip_af
Choice Priority: 0.5
Subcomponent Parameters¶
Name | Synonyms | Allowable Categories |
---|---|---|
Optimizer | optimization.optimizer |
optimization.optimizer.generic |
Scheduler | optimization.scheduler |
optimization.scheduler.generic |
Value Parameters¶
Name | Synonyms | Type | Values |
---|---|---|---|
Input Height | model.input.height |
scalar | int, min: 1 |
Input Width | model.input.width |
scalar | int, min: 1 |
Model Architecture | model.variation ,model.backbone ,model.architecture |
choice | yolov5n (Nano@640)yolov5n6 (Nano@1280)yolov5s (Small@640)yolov5s6 (Small@1280)yolov5m (Medium@640)yolov5m6 (Medium@1280)yolov5l (Large@640)yolov5ts (Transformer-Small@640) |
Use Pretrained Backbone | model.use_pretrained ,model.backbone.use_pretrained |
scalar | bool |
Prediction Confidence Threshold | post_processor.confidence ,post_processor.confidence_threshold |
scalar | float, min: 0.0, max: 1.0, step: 0.05 |
Constraints¶
- Data for Yolo models should be normalized with 'yolo' (
data.normalization
== 'yolo') - Export can only be done by using traced model:
export
\(\in\)export.tracer
This component fits into¶
Name | UUID | Synonyms |
---|---|---|
Full Recipe | 4511dd... |
model |