yolo_darknet_scripts_de_configuration
Différences
Ci-dessous, les différences entre deux révisions de la page.
Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédenteProchaine révisionLes deux révisions suivantes | ||
yolo_darknet_scripts_de_configuration [2019/04/09 14:00] – [Yolo Darknet sur un portable Optimus] serge | yolo_darknet_scripts_de_configuration [2019/04/29 17:19] – ↷ Liens modifiés en raison d'un déplacement. serge | ||
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Ligne 9: | Ligne 9: | ||
=====Yolo Darknet sans carte graphique===== | =====Yolo Darknet sans carte graphique===== | ||
- | * Pour **[[yolo_sans_carte_graphique|Yolo Darknet sans carte graphique]]** | + | * Pour **[[y:yolo_sans_carte_graphique|Yolo Darknet sans carte graphique]]** |
* classes=27 | * classes=27 | ||
Ligne 197: | Ligne 197: | ||
- | =====Yolo Darknet sur Nvidia 1060GTX===== | ||
- | <file sh yolov3-tiny_obj_labo.cfg> | ||
- | [net] | ||
- | # Testing | ||
- | #batch=1 | ||
- | # | ||
- | # Training | ||
- | batch=64 | ||
- | subdivisions=64 | ||
- | width=704 | ||
- | height=704 | ||
- | channels=3 | ||
- | momentum=0.9 | ||
- | decay=0.0005 | ||
- | angle=0 | ||
- | saturation = 1.5 | ||
- | exposure = 1.5 | ||
- | hue=.1 | ||
- | |||
- | learning_rate=0.001 | ||
- | burn_in=1000 | ||
- | max_batches = 500200 | ||
- | policy=steps | ||
- | steps=400000, | ||
- | scales=.1, | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=16 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=2 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=32 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=2 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=64 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=2 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=128 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=2 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=256 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=2 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=512 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [maxpool] | ||
- | size=2 | ||
- | stride=1 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=1024 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | ########### | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=256 | ||
- | size=1 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=512 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [convolutional] | ||
- | size=1 | ||
- | stride=1 | ||
- | pad=1 | ||
- | filters=96 | ||
- | activation=linear | ||
- | |||
- | [yolo] | ||
- | mask = 3,4,5 | ||
- | anchors = 10, | ||
- | classes=27 | ||
- | num=6 | ||
- | jitter=.3 | ||
- | ignore_thresh = .7 | ||
- | truth_thresh = 1 | ||
- | random=1 | ||
- | |||
- | [route] | ||
- | layers = -4 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=128 | ||
- | size=1 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [upsample] | ||
- | stride=2 | ||
- | |||
- | [route] | ||
- | layers = -1, 8 | ||
- | |||
- | [convolutional] | ||
- | batch_normalize=1 | ||
- | filters=256 | ||
- | size=3 | ||
- | stride=1 | ||
- | pad=1 | ||
- | activation=leaky | ||
- | |||
- | [convolutional] | ||
- | size=1 | ||
- | stride=1 | ||
- | pad=1 | ||
- | filters=96 | ||
- | activation=linear | ||
- | |||
- | [yolo] | ||
- | mask = 0,1,2 | ||
- | anchors = 10, | ||
- | classes=27 | ||
- | num=6 | ||
- | jitter=.3 | ||
- | ignore_thresh = .7 | ||
- | truth_thresh = 1 | ||
- | random=1 | ||
- | </ | ||
{{tag> | {{tag> |
yolo_darknet_scripts_de_configuration.txt · Dernière modification : 2020/10/05 10:39 de serge