yolo_darknet_scripts_de_configuration
Différences
Ci-dessous, les différences entre deux révisions de la page.
Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédente | ||
yolo_darknet_scripts_de_configuration [2019/04/07 09:46] – serge | yolo_darknet_scripts_de_configuration [2020/10/05 10:39] (Version actuelle) – ↷ Liens modifiés en raison d'un déplacement. serge | ||
---|---|---|---|
Ligne 6: | Ligne 6: | ||
**{{tagpage> | **{{tagpage> | ||
</ | </ | ||
- | {{ chappe.jpeg? | + | {{ media_05:chappe.jpeg? |
=====Yolo Darknet sans carte graphique===== | =====Yolo Darknet sans carte graphique===== | ||
Ligne 196: | Ligne 196: | ||
- | =====Yolo Darknet sur un portable Optimus===== | ||
- | * Pour **[[yolo_darknet_sur_un_portable_optimus|Yolo Darknet sur un portable Optimus]]** | ||
- | * classes=27 | ||
- | <file ini yolov3-tiny.cfg> | ||
- | à récupérer sur optimus | ||
- | </ | ||
- | |||
- | =====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.1554630389.txt.gz · Dernière modification : 2019/04/07 09:46 de serge