yunkai1841
commited on
Commit
•
95a3fec
1
Parent(s):
f76e69f
fix configs and weights for driving
Browse files
driving/lightnet-driving-1280x960.cfg
CHANGED
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@@ -21,7 +21,7 @@ scales=.5,.5,.5,.5
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gaussian_noise=1
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flip=1
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| 23 |
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-
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[convolutional]
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batch_normalize=1
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@@ -32,7 +32,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -41,7 +41,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=1
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@@ -53,7 +53,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=1
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@@ -62,7 +62,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -71,7 +71,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -80,7 +80,7 @@ pad=1
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activation=relu
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| 81 |
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -89,7 +89,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -101,7 +101,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -110,7 +110,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -120,7 +120,7 @@ activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -132,7 +132,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -141,7 +141,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -150,7 +150,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -159,7 +159,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -168,7 +168,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -180,7 +180,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -189,7 +189,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=3
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@@ -198,7 +198,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -210,7 +210,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -219,7 +219,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=3
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@@ -228,7 +228,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=3
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@@ -237,7 +237,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=3
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@@ -246,7 +246,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=3
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@@ -258,7 +258,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -267,7 +267,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=3
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@@ -276,7 +276,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -288,7 +288,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -297,7 +297,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=3
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@@ -306,7 +306,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=3
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@@ -315,7 +315,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=3
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@@ -324,7 +324,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=3
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@@ -336,7 +336,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=512
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size=1
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@@ -349,7 +349,7 @@ activation=relu
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### ASPPCSP ###
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -361,7 +361,7 @@ activation=relu
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layers = -2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -371,7 +371,7 @@ activation=relu
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### ASPP ###
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -384,7 +384,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -397,7 +397,7 @@ activation=relu
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layers=-4
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -411,7 +411,7 @@ layers=-1,-3,-5,-6
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### End ASPP ###
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -424,7 +424,7 @@ layers = -10,-1
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# 44
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=256
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size=1
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@@ -434,7 +434,7 @@ activation=relu
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### End ASPPCSP ###
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -449,7 +449,7 @@ stride=2
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layers = 30
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -461,7 +461,7 @@ activation=relu
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layers = -1,-3
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -473,7 +473,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -482,7 +482,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -491,7 +491,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -500,7 +500,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -509,7 +509,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -523,7 +523,7 @@ layers = -1,-3,-5,-7
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# 56
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -532,7 +532,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -547,7 +547,7 @@ stride=2
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layers = 20
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -559,7 +559,7 @@ activation=relu
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layers = -1,-3
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=32
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size=1
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@@ -571,7 +571,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=32
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size=1
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@@ -580,7 +580,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=32
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size=3
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -598,7 +598,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -607,7 +607,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=32
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size=3
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@@ -619,7 +619,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -629,7 +629,7 @@ activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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size=3
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stride=2
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@@ -641,7 +641,7 @@ activation=relu
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layers = -1,67
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -653,7 +653,7 @@ activation=relu
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layers=-2
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=1
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@@ -662,7 +662,7 @@ pad=1
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activation=relu
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -671,7 +671,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -680,7 +680,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -689,7 +689,7 @@ pad=1
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activation=relu
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[convolutional]
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sparse=1
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batch_normalize=1
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filters=64
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size=3
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@@ -701,7 +701,7 @@ activation=relu
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layers = -1,-3,-5,-7
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[convolutional]
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-
sparse=1
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batch_normalize=1
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filters=128
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size=1
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@@ -710,7 +710,7 @@ pad=1
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activation=relu
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[convolutional]
|
| 713 |
-
sparse=1
|
| 714 |
batch_normalize=1
|
| 715 |
size=3
|
| 716 |
stride=2
|
|
@@ -722,7 +722,7 @@ activation=relu
|
|
| 722 |
layers = -1,53
|
| 723 |
|
| 724 |
[convolutional]
|
| 725 |
-
sparse=1
|
| 726 |
batch_normalize=1
|
| 727 |
filters=128
|
| 728 |
size=1
|
|
@@ -734,7 +734,7 @@ activation=relu
|
|
| 734 |
layers=-2
|
| 735 |
|
| 736 |
[convolutional]
|
| 737 |
-
sparse=1
|
| 738 |
batch_normalize=1
|
| 739 |
filters=128
|
| 740 |
size=1
|
|
@@ -743,7 +743,7 @@ pad=1
|
|
| 743 |
activation=relu
|
| 744 |
|
| 745 |
[convolutional]
|
| 746 |
-
sparse=1
|
| 747 |
batch_normalize=1
|
| 748 |
filters=128
|
| 749 |
size=3
|
|
@@ -752,7 +752,7 @@ pad=1
|
|
| 752 |
activation=relu
|
| 753 |
|
| 754 |
[convolutional]
|
| 755 |
-
sparse=1
|
| 756 |
batch_normalize=1
|
| 757 |
filters=128
|
| 758 |
size=3
|
|
@@ -761,7 +761,7 @@ pad=1
|
|
| 761 |
activation=relu
|
| 762 |
|
| 763 |
[convolutional]
|
| 764 |
-
sparse=1
|
| 765 |
batch_normalize=1
|
| 766 |
filters=128
|
| 767 |
size=3
|
|
@@ -770,7 +770,7 @@ pad=1
|
|
| 770 |
activation=relu
|
| 771 |
|
| 772 |
[convolutional]
|
| 773 |
-
sparse=1
|
| 774 |
batch_normalize=1
|
| 775 |
filters=128
|
| 776 |
size=3
|
|
@@ -782,7 +782,7 @@ activation=relu
|
|
| 782 |
layers = -1,-3,-5,-7
|
| 783 |
|
| 784 |
[convolutional]
|
| 785 |
-
sparse=1
|
| 786 |
batch_normalize=1
|
| 787 |
filters=256
|
| 788 |
size=1
|
|
@@ -802,7 +802,7 @@ activation=relu
|
|
| 802 |
layers = 80
|
| 803 |
|
| 804 |
[convolutional]
|
| 805 |
-
sparse=1
|
| 806 |
batch_normalize=1
|
| 807 |
size=3
|
| 808 |
stride=1
|
|
@@ -811,7 +811,7 @@ filters=128
|
|
| 811 |
activation=relu
|
| 812 |
|
| 813 |
[convolutional]
|
| 814 |
-
|
| 815 |
size=1
|
| 816 |
stride=1
|
| 817 |
pad=1
|
|
@@ -841,7 +841,7 @@ iou_loss=ciou
|
|
| 841 |
layers = 91
|
| 842 |
|
| 843 |
[convolutional]
|
| 844 |
-
sparse=1
|
| 845 |
batch_normalize=1
|
| 846 |
size=3
|
| 847 |
stride=1
|
|
@@ -850,7 +850,7 @@ filters=256
|
|
| 850 |
activation=relu
|
| 851 |
|
| 852 |
[convolutional]
|
| 853 |
-
|
| 854 |
size=1
|
| 855 |
stride=1
|
| 856 |
pad=1
|
|
@@ -880,7 +880,7 @@ iou_loss=ciou
|
|
| 880 |
layers = 102
|
| 881 |
|
| 882 |
[convolutional]
|
| 883 |
-
sparse=1
|
| 884 |
batch_normalize=1
|
| 885 |
size=3
|
| 886 |
stride=1
|
|
@@ -889,7 +889,7 @@ filters=512
|
|
| 889 |
activation=relu
|
| 890 |
|
| 891 |
[convolutional]
|
| 892 |
-
|
| 893 |
size=1
|
| 894 |
stride=1
|
| 895 |
pad=1
|
|
|
|
| 21 |
gaussian_noise=1
|
| 22 |
flip=1
|
| 23 |
|
| 24 |
+
##sparse=1 : 2:4 structured sparsity
|
| 25 |
|
| 26 |
[convolutional]
|
| 27 |
batch_normalize=1
|
|
|
|
| 32 |
activation=relu
|
| 33 |
|
| 34 |
[convolutional]
|
| 35 |
+
#sparse=1
|
| 36 |
batch_normalize=1
|
| 37 |
filters=64
|
| 38 |
size=3
|
|
|
|
| 41 |
activation=relu
|
| 42 |
|
| 43 |
[convolutional]
|
| 44 |
+
#sparse=1
|
| 45 |
batch_normalize=1
|
| 46 |
filters=32
|
| 47 |
size=1
|
|
|
|
| 53 |
layers=-2
|
| 54 |
|
| 55 |
[convolutional]
|
| 56 |
+
#sparse=1
|
| 57 |
batch_normalize=1
|
| 58 |
filters=32
|
| 59 |
size=1
|
|
|
|
| 62 |
activation=relu
|
| 63 |
|
| 64 |
[convolutional]
|
| 65 |
+
#sparse=1
|
| 66 |
batch_normalize=1
|
| 67 |
filters=32
|
| 68 |
size=3
|
|
|
|
| 71 |
activation=relu
|
| 72 |
|
| 73 |
[convolutional]
|
| 74 |
+
#sparse=1
|
| 75 |
batch_normalize=1
|
| 76 |
filters=32
|
| 77 |
size=3
|
|
|
|
| 80 |
activation=relu
|
| 81 |
|
| 82 |
[convolutional]
|
| 83 |
+
#sparse=1
|
| 84 |
batch_normalize=1
|
| 85 |
filters=32
|
| 86 |
size=3
|
|
|
|
| 89 |
activation=relu
|
| 90 |
|
| 91 |
[convolutional]
|
| 92 |
+
#sparse=1
|
| 93 |
batch_normalize=1
|
| 94 |
filters=32
|
| 95 |
size=3
|
|
|
|
| 101 |
layers = -1,-3,-5,-7
|
| 102 |
|
| 103 |
[convolutional]
|
| 104 |
+
#sparse=1
|
| 105 |
batch_normalize=1
|
| 106 |
filters=64
|
| 107 |
size=1
|
|
|
|
| 110 |
activation=relu
|
| 111 |
|
| 112 |
[convolutional]
|
| 113 |
+
#sparse=1
|
| 114 |
batch_normalize=1
|
| 115 |
filters=64
|
| 116 |
size=3
|
|
|
|
| 120 |
|
| 121 |
|
| 122 |
[convolutional]
|
| 123 |
+
#sparse=1
|
| 124 |
batch_normalize=1
|
| 125 |
filters=64
|
| 126 |
size=1
|
|
|
|
| 132 |
layers=-2
|
| 133 |
|
| 134 |
[convolutional]
|
| 135 |
+
#sparse=1
|
| 136 |
batch_normalize=1
|
| 137 |
filters=64
|
| 138 |
size=1
|
|
|
|
| 141 |
activation=relu
|
| 142 |
|
| 143 |
[convolutional]
|
| 144 |
+
#sparse=1
|
| 145 |
batch_normalize=1
|
| 146 |
filters=64
|
| 147 |
size=3
|
|
|
|
| 150 |
activation=relu
|
| 151 |
|
| 152 |
[convolutional]
|
| 153 |
+
#sparse=1
|
| 154 |
batch_normalize=1
|
| 155 |
filters=64
|
| 156 |
size=3
|
|
|
|
| 159 |
activation=relu
|
| 160 |
|
| 161 |
[convolutional]
|
| 162 |
+
#sparse=1
|
| 163 |
batch_normalize=1
|
| 164 |
filters=64
|
| 165 |
size=3
|
|
|
|
| 168 |
activation=relu
|
| 169 |
|
| 170 |
[convolutional]
|
| 171 |
+
#sparse=1
|
| 172 |
batch_normalize=1
|
| 173 |
filters=64
|
| 174 |
size=3
|
|
|
|
| 180 |
layers = -1,-3,-5,-7
|
| 181 |
|
| 182 |
[convolutional]
|
| 183 |
+
#sparse=1
|
| 184 |
batch_normalize=1
|
| 185 |
filters=128
|
| 186 |
size=1
|
|
|
|
| 189 |
activation=relu
|
| 190 |
|
| 191 |
[convolutional]
|
| 192 |
+
#sparse=1
|
| 193 |
batch_normalize=1
|
| 194 |
filters=128
|
| 195 |
size=3
|
|
|
|
| 198 |
activation=relu
|
| 199 |
|
| 200 |
[convolutional]
|
| 201 |
+
#sparse=1
|
| 202 |
batch_normalize=1
|
| 203 |
filters=128
|
| 204 |
size=1
|
|
|
|
| 210 |
layers=-2
|
| 211 |
|
| 212 |
[convolutional]
|
| 213 |
+
#sparse=1
|
| 214 |
batch_normalize=1
|
| 215 |
filters=128
|
| 216 |
size=1
|
|
|
|
| 219 |
activation=relu
|
| 220 |
|
| 221 |
[convolutional]
|
| 222 |
+
#sparse=1
|
| 223 |
batch_normalize=1
|
| 224 |
filters=128
|
| 225 |
size=3
|
|
|
|
| 228 |
activation=relu
|
| 229 |
|
| 230 |
[convolutional]
|
| 231 |
+
#sparse=1
|
| 232 |
batch_normalize=1
|
| 233 |
filters=128
|
| 234 |
size=3
|
|
|
|
| 237 |
activation=relu
|
| 238 |
|
| 239 |
[convolutional]
|
| 240 |
+
#sparse=1
|
| 241 |
batch_normalize=1
|
| 242 |
filters=128
|
| 243 |
size=3
|
|
|
|
| 246 |
activation=relu
|
| 247 |
|
| 248 |
[convolutional]
|
| 249 |
+
#sparse=1
|
| 250 |
batch_normalize=1
|
| 251 |
filters=128
|
| 252 |
size=3
|
|
|
|
| 258 |
layers = -1,-3,-5,-7
|
| 259 |
|
| 260 |
[convolutional]
|
| 261 |
+
#sparse=1
|
| 262 |
batch_normalize=1
|
| 263 |
filters=256
|
| 264 |
size=1
|
|
|
|
| 267 |
activation=relu
|
| 268 |
|
| 269 |
[convolutional]
|
| 270 |
+
#sparse=1
|
| 271 |
batch_normalize=1
|
| 272 |
filters=256
|
| 273 |
size=3
|
|
|
|
| 276 |
activation=relu
|
| 277 |
|
| 278 |
[convolutional]
|
| 279 |
+
#sparse=1
|
| 280 |
batch_normalize=1
|
| 281 |
filters=256
|
| 282 |
size=1
|
|
|
|
| 288 |
layers=-2
|
| 289 |
|
| 290 |
[convolutional]
|
| 291 |
+
#sparse=1
|
| 292 |
batch_normalize=1
|
| 293 |
filters=256
|
| 294 |
size=1
|
|
|
|
| 297 |
activation=relu
|
| 298 |
|
| 299 |
[convolutional]
|
| 300 |
+
#sparse=1
|
| 301 |
batch_normalize=1
|
| 302 |
filters=256
|
| 303 |
size=3
|
|
|
|
| 306 |
activation=relu
|
| 307 |
|
| 308 |
[convolutional]
|
| 309 |
+
#sparse=1
|
| 310 |
batch_normalize=1
|
| 311 |
filters=256
|
| 312 |
size=3
|
|
|
|
| 315 |
activation=relu
|
| 316 |
|
| 317 |
[convolutional]
|
| 318 |
+
#sparse=1
|
| 319 |
batch_normalize=1
|
| 320 |
filters=256
|
| 321 |
size=3
|
|
|
|
| 324 |
activation=relu
|
| 325 |
|
| 326 |
[convolutional]
|
| 327 |
+
#sparse=1
|
| 328 |
batch_normalize=1
|
| 329 |
filters=256
|
| 330 |
size=3
|
|
|
|
| 336 |
layers = -1,-3,-5,-7
|
| 337 |
|
| 338 |
[convolutional]
|
| 339 |
+
#sparse=1
|
| 340 |
batch_normalize=1
|
| 341 |
filters=512
|
| 342 |
size=1
|
|
|
|
| 349 |
|
| 350 |
### ASPPCSP ###
|
| 351 |
[convolutional]
|
| 352 |
+
#sparse=1
|
| 353 |
batch_normalize=1
|
| 354 |
filters=256
|
| 355 |
size=1
|
|
|
|
| 361 |
layers = -2
|
| 362 |
|
| 363 |
[convolutional]
|
| 364 |
+
#sparse=1
|
| 365 |
batch_normalize=1
|
| 366 |
filters=256
|
| 367 |
size=1
|
|
|
|
| 371 |
|
| 372 |
### ASPP ###
|
| 373 |
[convolutional]
|
| 374 |
+
#sparse=1
|
| 375 |
batch_normalize=1
|
| 376 |
filters=256
|
| 377 |
size=1
|
|
|
|
| 384 |
layers=-2
|
| 385 |
|
| 386 |
[convolutional]
|
| 387 |
+
#sparse=1
|
| 388 |
batch_normalize=1
|
| 389 |
filters=256
|
| 390 |
size=1
|
|
|
|
| 397 |
layers=-4
|
| 398 |
|
| 399 |
[convolutional]
|
| 400 |
+
#sparse=1
|
| 401 |
batch_normalize=1
|
| 402 |
filters=256
|
| 403 |
size=1
|
|
|
|
| 411 |
### End ASPP ###
|
| 412 |
|
| 413 |
[convolutional]
|
| 414 |
+
#sparse=1
|
| 415 |
batch_normalize=1
|
| 416 |
filters=256
|
| 417 |
size=1
|
|
|
|
| 424 |
|
| 425 |
# 44
|
| 426 |
[convolutional]
|
| 427 |
+
#sparse=1
|
| 428 |
batch_normalize=1
|
| 429 |
filters=256
|
| 430 |
size=1
|
|
|
|
| 434 |
### End ASPPCSP ###
|
| 435 |
|
| 436 |
[convolutional]
|
| 437 |
+
#sparse=1
|
| 438 |
batch_normalize=1
|
| 439 |
filters=128
|
| 440 |
size=1
|
|
|
|
| 449 |
layers = 30
|
| 450 |
|
| 451 |
[convolutional]
|
| 452 |
+
#sparse=1
|
| 453 |
batch_normalize=1
|
| 454 |
filters=128
|
| 455 |
size=1
|
|
|
|
| 461 |
layers = -1,-3
|
| 462 |
|
| 463 |
[convolutional]
|
| 464 |
+
#sparse=1
|
| 465 |
batch_normalize=1
|
| 466 |
filters=64
|
| 467 |
size=1
|
|
|
|
| 473 |
layers=-2
|
| 474 |
|
| 475 |
[convolutional]
|
| 476 |
+
#sparse=1
|
| 477 |
batch_normalize=1
|
| 478 |
filters=64
|
| 479 |
size=1
|
|
|
|
| 482 |
activation=relu
|
| 483 |
|
| 484 |
[convolutional]
|
| 485 |
+
#sparse=1
|
| 486 |
batch_normalize=1
|
| 487 |
filters=64
|
| 488 |
size=3
|
|
|
|
| 491 |
activation=relu
|
| 492 |
|
| 493 |
[convolutional]
|
| 494 |
+
#sparse=1
|
| 495 |
batch_normalize=1
|
| 496 |
filters=64
|
| 497 |
size=3
|
|
|
|
| 500 |
activation=relu
|
| 501 |
|
| 502 |
[convolutional]
|
| 503 |
+
#sparse=1
|
| 504 |
batch_normalize=1
|
| 505 |
filters=64
|
| 506 |
size=3
|
|
|
|
| 509 |
activation=relu
|
| 510 |
|
| 511 |
[convolutional]
|
| 512 |
+
#sparse=1
|
| 513 |
batch_normalize=1
|
| 514 |
filters=64
|
| 515 |
size=3
|
|
|
|
| 523 |
|
| 524 |
# 56
|
| 525 |
[convolutional]
|
| 526 |
+
#sparse=1
|
| 527 |
batch_normalize=1
|
| 528 |
filters=128
|
| 529 |
size=1
|
|
|
|
| 532 |
activation=relu
|
| 533 |
|
| 534 |
[convolutional]
|
| 535 |
+
#sparse=1
|
| 536 |
batch_normalize=1
|
| 537 |
filters=64
|
| 538 |
size=1
|
|
|
|
| 547 |
layers = 20
|
| 548 |
|
| 549 |
[convolutional]
|
| 550 |
+
#sparse=1
|
| 551 |
batch_normalize=1
|
| 552 |
filters=64
|
| 553 |
size=1
|
|
|
|
| 559 |
layers = -1,-3
|
| 560 |
|
| 561 |
[convolutional]
|
| 562 |
+
#sparse=1
|
| 563 |
batch_normalize=1
|
| 564 |
filters=32
|
| 565 |
size=1
|
|
|
|
| 571 |
layers=-2
|
| 572 |
|
| 573 |
[convolutional]
|
| 574 |
+
#sparse=1
|
| 575 |
batch_normalize=1
|
| 576 |
filters=32
|
| 577 |
size=1
|
|
|
|
| 580 |
activation=relu
|
| 581 |
|
| 582 |
[convolutional]
|
| 583 |
+
#sparse=1
|
| 584 |
batch_normalize=1
|
| 585 |
filters=32
|
| 586 |
size=3
|
|
|
|
| 589 |
activation=relu
|
| 590 |
|
| 591 |
[convolutional]
|
| 592 |
+
#sparse=1
|
| 593 |
batch_normalize=1
|
| 594 |
filters=32
|
| 595 |
size=3
|
|
|
|
| 598 |
activation=relu
|
| 599 |
|
| 600 |
[convolutional]
|
| 601 |
+
#sparse=1
|
| 602 |
batch_normalize=1
|
| 603 |
filters=32
|
| 604 |
size=3
|
|
|
|
| 607 |
activation=relu
|
| 608 |
|
| 609 |
[convolutional]
|
| 610 |
+
#sparse=1
|
| 611 |
batch_normalize=1
|
| 612 |
filters=32
|
| 613 |
size=3
|
|
|
|
| 619 |
layers = -1,-3,-5,-7
|
| 620 |
|
| 621 |
[convolutional]
|
| 622 |
+
#sparse=1
|
| 623 |
batch_normalize=1
|
| 624 |
filters=64
|
| 625 |
size=1
|
|
|
|
| 629 |
|
| 630 |
|
| 631 |
[convolutional]
|
| 632 |
+
#sparse=1
|
| 633 |
batch_normalize=1
|
| 634 |
size=3
|
| 635 |
stride=2
|
|
|
|
| 641 |
layers = -1,67
|
| 642 |
|
| 643 |
[convolutional]
|
| 644 |
+
#sparse=1
|
| 645 |
batch_normalize=1
|
| 646 |
filters=64
|
| 647 |
size=1
|
|
|
|
| 653 |
layers=-2
|
| 654 |
|
| 655 |
[convolutional]
|
| 656 |
+
#sparse=1
|
| 657 |
batch_normalize=1
|
| 658 |
filters=64
|
| 659 |
size=1
|
|
|
|
| 662 |
activation=relu
|
| 663 |
|
| 664 |
[convolutional]
|
| 665 |
+
#sparse=1
|
| 666 |
batch_normalize=1
|
| 667 |
filters=64
|
| 668 |
size=3
|
|
|
|
| 671 |
activation=relu
|
| 672 |
|
| 673 |
[convolutional]
|
| 674 |
+
#sparse=1
|
| 675 |
batch_normalize=1
|
| 676 |
filters=64
|
| 677 |
size=3
|
|
|
|
| 680 |
activation=relu
|
| 681 |
|
| 682 |
[convolutional]
|
| 683 |
+
#sparse=1
|
| 684 |
batch_normalize=1
|
| 685 |
filters=64
|
| 686 |
size=3
|
|
|
|
| 689 |
activation=relu
|
| 690 |
|
| 691 |
[convolutional]
|
| 692 |
+
#sparse=1
|
| 693 |
batch_normalize=1
|
| 694 |
filters=64
|
| 695 |
size=3
|
|
|
|
| 701 |
layers = -1,-3,-5,-7
|
| 702 |
|
| 703 |
[convolutional]
|
| 704 |
+
#sparse=1
|
| 705 |
batch_normalize=1
|
| 706 |
filters=128
|
| 707 |
size=1
|
|
|
|
| 710 |
activation=relu
|
| 711 |
|
| 712 |
[convolutional]
|
| 713 |
+
#sparse=1
|
| 714 |
batch_normalize=1
|
| 715 |
size=3
|
| 716 |
stride=2
|
|
|
|
| 722 |
layers = -1,53
|
| 723 |
|
| 724 |
[convolutional]
|
| 725 |
+
#sparse=1
|
| 726 |
batch_normalize=1
|
| 727 |
filters=128
|
| 728 |
size=1
|
|
|
|
| 734 |
layers=-2
|
| 735 |
|
| 736 |
[convolutional]
|
| 737 |
+
#sparse=1
|
| 738 |
batch_normalize=1
|
| 739 |
filters=128
|
| 740 |
size=1
|
|
|
|
| 743 |
activation=relu
|
| 744 |
|
| 745 |
[convolutional]
|
| 746 |
+
#sparse=1
|
| 747 |
batch_normalize=1
|
| 748 |
filters=128
|
| 749 |
size=3
|
|
|
|
| 752 |
activation=relu
|
| 753 |
|
| 754 |
[convolutional]
|
| 755 |
+
#sparse=1
|
| 756 |
batch_normalize=1
|
| 757 |
filters=128
|
| 758 |
size=3
|
|
|
|
| 761 |
activation=relu
|
| 762 |
|
| 763 |
[convolutional]
|
| 764 |
+
#sparse=1
|
| 765 |
batch_normalize=1
|
| 766 |
filters=128
|
| 767 |
size=3
|
|
|
|
| 770 |
activation=relu
|
| 771 |
|
| 772 |
[convolutional]
|
| 773 |
+
#sparse=1
|
| 774 |
batch_normalize=1
|
| 775 |
filters=128
|
| 776 |
size=3
|
|
|
|
| 782 |
layers = -1,-3,-5,-7
|
| 783 |
|
| 784 |
[convolutional]
|
| 785 |
+
#sparse=1
|
| 786 |
batch_normalize=1
|
| 787 |
filters=256
|
| 788 |
size=1
|
|
|
|
| 802 |
layers = 80
|
| 803 |
|
| 804 |
[convolutional]
|
| 805 |
+
#sparse=1
|
| 806 |
batch_normalize=1
|
| 807 |
size=3
|
| 808 |
stride=1
|
|
|
|
| 811 |
activation=relu
|
| 812 |
|
| 813 |
[convolutional]
|
| 814 |
+
##sparse=1
|
| 815 |
size=1
|
| 816 |
stride=1
|
| 817 |
pad=1
|
|
|
|
| 841 |
layers = 91
|
| 842 |
|
| 843 |
[convolutional]
|
| 844 |
+
#sparse=1
|
| 845 |
batch_normalize=1
|
| 846 |
size=3
|
| 847 |
stride=1
|
|
|
|
| 850 |
activation=relu
|
| 851 |
|
| 852 |
[convolutional]
|
| 853 |
+
##sparse=1
|
| 854 |
size=1
|
| 855 |
stride=1
|
| 856 |
pad=1
|
|
|
|
| 880 |
layers = 102
|
| 881 |
|
| 882 |
[convolutional]
|
| 883 |
+
#sparse=1
|
| 884 |
batch_normalize=1
|
| 885 |
size=3
|
| 886 |
stride=1
|
|
|
|
| 889 |
activation=relu
|
| 890 |
|
| 891 |
[convolutional]
|
| 892 |
+
##sparse=1
|
| 893 |
size=1
|
| 894 |
stride=1
|
| 895 |
pad=1
|
driving/lightnet-driving-1280x960.weights
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 36085680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2486b1277b16bbd6f210abab224ccc3de133b4da2385f6bace0d0c851f4b44a3
|
| 3 |
size 36085680
|