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added vgg and jnet cfg files to darknet data
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,117 @@ | ||
| [net] | ||
| batch=1 | ||
| subdivisions=1 | ||
| height=10 | ||
| width=10 | ||
| channels=3 | ||
| learning_rate=0.01 | ||
| momentum=0.9 | ||
| decay=0.0005 | ||
|
|
||
| [convolutional] | ||
| filters=32 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=32 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| stride=2 | ||
| size=2 | ||
|
|
||
| [convolutional] | ||
| filters=64 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=64 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| stride=2 | ||
| size=2 | ||
|
|
||
| [convolutional] | ||
| filters=128 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=128 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| stride=2 | ||
| size=2 | ||
|
|
||
| [convolutional] | ||
| filters=256 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=256 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| stride=2 | ||
| size=2 | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| stride=2 | ||
| size=2 | ||
|
|
||
| [convolutional] | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [convolutional] | ||
| filters=1024 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=leaky | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,120 @@ | ||
| [net] | ||
| batch=1 | ||
| subdivisions=1 | ||
| width=224 | ||
| height=224 | ||
| channels=3 | ||
| learning_rate=0.00001 | ||
| momentum=0.9 | ||
| decay=0.0005 | ||
|
|
||
| [convolutional] | ||
| filters=64 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=64 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| filters=128 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=128 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| filters=256 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=256 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=256 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [convolutional] | ||
| filters=512 | ||
| size=3 | ||
| stride=1 | ||
| pad=1 | ||
| activation=relu | ||
|
|
||
| [maxpool] | ||
| size=2 | ||
| stride=2 |