Updated cfg-files for new weights-files

build/darknet/x64/darknet_voc.cmd

@@ -1,6 +1,6 @@
 
 
-darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -i 0 -thresh 0.1
+darknet.exe detector test data/voc.data yolo-voc.cfg yolo-voc.weights -i 0 -thresh 0.2
 
 
 pause

build/darknet/x64/tiny-yolo-voc.cfg

@@ -12,7 +12,7 @@ exposure = 1.5
 hue=.1
 
 learning_rate=0.001
-max_batches = 40100
+max_batches = 40200
 policy=steps
 steps=-1,100,20000,30000
 scales=.1,10,.1,.1

build/darknet/x64/yolo-voc.cfg

@@ -1,6 +1,10 @@
 [net]
-batch=64
-subdivisions=8
+# Testing
+batch=1
+subdivisions=1
+# Training
+# batch=64
+# subdivisions=8
 height=416
 width=416
 channels=3
@@ -11,11 +15,12 @@ saturation = 1.5
 exposure = 1.5
 hue=.1
 
-learning_rate=0.0001
-max_batches = 45000
+learning_rate=0.001
+burn_in=1000
+max_batches = 80200
 policy=steps
-steps=100,25000,35000
-scales=10,.1,.1
+steps=40000,60000
+scales=.1,.1
 
 [convolutional]
 batch_normalize=1
@@ -203,11 +208,19 @@ activation=leaky
 [route]
 layers=-9
 
+[convolutional]
+batch_normalize=1
+size=1
+stride=1
+pad=1
+filters=64
+activation=leaky
+
 [reorg]
 stride=2
 
 [route]
-layers=-1,-3
+layers=-1,-4
 
 [convolutional]
 batch_normalize=1
@@ -224,14 +237,15 @@ pad=1
 filters=125
 activation=linear
 
+
 [region]
-anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
+anchors =  1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071
 bias_match=1
 classes=20
 coords=4
 num=5
 softmax=1
-jitter=.2
+jitter=.3
 rescore=1
 
 object_scale=5
@@ -241,4 +255,4 @@ coord_scale=1
 
 absolute=1
 thresh = .6
-random=0
+random=1

build/darknet/x64/yolo.cfg

@@ -1,8 +1,12 @@
 [net]
+# Testing
 batch=1
 subdivisions=1
-width=416
+# Training
+# batch=64
+# subdivisions=8
 height=416
+width=416
 channels=3
 momentum=0.9
 decay=0.0005
@@ -12,10 +16,11 @@ exposure = 1.5
 hue=.1
 
 learning_rate=0.001
-max_batches = 120000
+burn_in=1000
+max_batches = 500200
 policy=steps
-steps=-1,100,80000,100000
-scales=.1,10,.1,.1
+steps=400000,450000
+scales=.1,.1
 
 [convolutional]
 batch_normalize=1
@@ -203,11 +208,19 @@ activation=leaky
 [route]
 layers=-9
 
+[convolutional]
+batch_normalize=1
+size=1
+stride=1
+pad=1
+filters=64
+activation=leaky
+
 [reorg]
 stride=2
 
 [route]
-layers=-1,-3
+layers=-1,-4
 
 [convolutional]
 batch_normalize=1
@@ -224,14 +237,15 @@ pad=1
 filters=425
 activation=linear
 
+
 [region]
-anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
+anchors =  0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828
 bias_match=1
 classes=80
 coords=4
 num=5
 softmax=1
-jitter=.2
+jitter=.3
 rescore=1
 
 object_scale=5
@@ -241,4 +255,4 @@ coord_scale=1
 
 absolute=1
 thresh = .6
-random=0
+random=1

cfg/tiny-yolo-voc.cfg

@@ -12,7 +12,7 @@ exposure = 1.5
 hue=.1
 
 learning_rate=0.001
-max_batches = 40100
+max_batches = 40200
 policy=steps
 steps=-1,100,20000,30000
 scales=.1,10,.1,.1

cfg/yolo-voc.cfg

@@ -1,6 +1,10 @@
 [net]
-batch=64
-subdivisions=8
+# Testing
+batch=1
+subdivisions=1
+# Training
+# batch=64
+# subdivisions=8
 height=416
 width=416
 channels=3
@@ -11,11 +15,12 @@ saturation = 1.5
 exposure = 1.5
 hue=.1
 
-learning_rate=0.0001
-max_batches = 45000
+learning_rate=0.001
+burn_in=1000
+max_batches = 80200
 policy=steps
-steps=100,25000,35000
-scales=10,.1,.1
+steps=40000,60000
+scales=.1,.1
 
 [convolutional]
 batch_normalize=1
@@ -203,11 +208,19 @@ activation=leaky
 [route]
 layers=-9
 
+[convolutional]
+batch_normalize=1
+size=1
+stride=1
+pad=1
+filters=64
+activation=leaky
+
 [reorg]
 stride=2
 
 [route]
-layers=-1,-3
+layers=-1,-4
 
 [convolutional]
 batch_normalize=1
@@ -224,14 +237,15 @@ pad=1
 filters=125
 activation=linear
 
+
 [region]
-anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
+anchors =  1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071
 bias_match=1
 classes=20
 coords=4
 num=5
 softmax=1
-jitter=.2
+jitter=.3
 rescore=1
 
 object_scale=5
@@ -241,4 +255,4 @@ coord_scale=1
 
 absolute=1
 thresh = .6
-random=0
+random=1

cfg/yolo.cfg

@@ -1,8 +1,12 @@
 [net]
+# Testing
 batch=1
 subdivisions=1
-width=416
+# Training
+# batch=64
+# subdivisions=8
 height=416
+width=416
 channels=3
 momentum=0.9
 decay=0.0005
@@ -12,10 +16,11 @@ exposure = 1.5
 hue=.1
 
 learning_rate=0.001
-max_batches = 120000
+burn_in=1000
+max_batches = 500200
 policy=steps
-steps=-1,100,80000,100000
-scales=.1,10,.1,.1
+steps=400000,450000
+scales=.1,.1
 
 [convolutional]
 batch_normalize=1
@@ -203,11 +208,19 @@ activation=leaky
 [route]
 layers=-9
 
+[convolutional]
+batch_normalize=1
+size=1
+stride=1
+pad=1
+filters=64
+activation=leaky
+
 [reorg]
 stride=2
 
 [route]
-layers=-1,-3
+layers=-1,-4
 
 [convolutional]
 batch_normalize=1
@@ -224,14 +237,15 @@ pad=1
 filters=425
 activation=linear
 
+
 [region]
-anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
+anchors =  0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828
 bias_match=1
 classes=80
 coords=4
 num=5
 softmax=1
-jitter=.2
+jitter=.3
 rescore=1
 
 object_scale=5
@@ -241,4 +255,4 @@ coord_scale=1
 
 absolute=1
 thresh = .6
-random=0
+random=1