UL Yolo v5

Category: model.detection.2d
Version: 1.0.0
UUID: 3963c0988ba037eeafdc7c995608f5bad4cf3c5310ba29f8562df43eaa9b3d5f
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
Prediction Confidence Threshold	post_processor.confidence, post_processor.confidence_threshold	scalar	float, min: 0.0, max: 1.0, step: 0.05
Freeze Backbone	model.backbone.freeze	scalar	bool
IoU Threshold for NMS	post_processor.iou_threshold	scalar	float, min: 0.0, max: 1.0
Model Architecture	model.variation, model.backbone, model.architecture	choice	10 choices
Use Pretrained Backbone	model.use_pretrained, model.backbone.use_pretrained	scalar	bool
Include decoding in Graph	model.include_decoding, export.include_decoding	scalar	bool

Constraints

1. Data for Yolo models should be normalized with 'yolo' (data.normalization == 'yolo')
2. Export can only be done by using traced model: export \(\in\) export.tracer

This component fits into

Name	UUID	Synonyms
Full Recipe	4511dd...	model

Extra options

Model Architecture

yolov5n (Nano@640)
yolov5n6 (Nano@1280)
yolov5s (Small@640)
yolov5s6 (Small@1280)
yolov5m (Medium@640)
yolov5m6 (Medium@1280)
yolov5l (Large@640)
yolov5l6 (Large@1280)
yolov5x (X-Large@640)
yolov5x6 (X-Large@1280)