Différences

Ci-dessous, les différences entre deux révisions de la page.

--- yolo_darknet_scripts_de_configuration [2019/04/09 14:00] – [Yolo Darknet sur un portable Optimus] serge
+++ y:yolo_darknet_scripts_de_configuration [2019/05/04 05:59] – ↷ Liens modifiés en raison d'un déplacement. serge
@@ Ligne 6: / Ligne 6: @@
 **{{tagpage>semaphore|Sémaphores}}**  ....  **{{tagpage>bge|Blender Game Engine}}** ....  **{{tagpage>ia|Intelligence Artificielle}}**
 </WRAP>
-{{ chappe.jpeg?400 }}
+{{ :chappe.jpeg?400 }}
 =====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
@@ Ligne 197: / Ligne 197: @@
-=====Yolo Darknet sur Nvidia 1060GTX=====
-<file sh yolov3-tiny_obj_labo.cfg>
-[net]
-# Testing
-#batch=1
-#subdivisions=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=400000,450000
-scales=.1,.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 = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
-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 = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
-classes=27
-num=6
-jitter=.3
-ignore_thresh = .7
-truth_thresh = 1
-random=1
-</file>
 {{tag>sb}}