Darknet models, trained weights, reference images and library is updated

darknet/cfg/alexnet.cfg

@@ -0,0 +1,95 @@
+[net]
+batch=128
+subdivisions=1
+height=227
+width=227
+channels=3
+momentum=0.9
+decay=0.0005
+max_crop=256
+
+learning_rate=0.01
+policy=poly
+power=4
+max_batches=800000
+
+angle=7
+hue = .1
+saturation=.75
+exposure=.75
+aspect=.75
+
+[convolutional]
+filters=96
+size=11
+stride=4
+pad=0
+activation=relu
+
+[maxpool]
+size=3
+stride=2
+padding=0
+
+[convolutional]
+filters=256
+size=5
+stride=1
+pad=1
+activation=relu
+
+[maxpool]
+size=3
+stride=2
+padding=0
+
+[convolutional]
+filters=384
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+filters=384
+size=3
+stride=1
+pad=1
+activation=relu
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=relu
+
+[maxpool]
+size=3
+stride=2
+padding=0
+
+[connected]
+output=4096
+activation=relu
+
+[dropout]
+probability=.5
+
+[connected]
+output=4096
+activation=relu
+
+[dropout]
+probability=.5
+
+[connected]
+output=1000
+activation=linear
+
+[softmax]
+groups=1
+
+[cost]
+type=sse
+

darknet/cfg/cifar.cfg

@@ -0,0 +1,124 @@
+[net]
+batch=128
+subdivisions=1
+height=28
+width=28
+channels=3
+max_crop=32
+min_crop=32
+
+hue=.1
+saturation=.75
+exposure=.75
+
+learning_rate=0.4
+policy=poly
+power=4
+max_batches = 5000
+momentum=0.9
+decay=0.0005
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[dropout]
+probability=.5
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[dropout]
+probability=.5
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[dropout]
+probability=.5
+
+[convolutional]
+filters=10
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[avgpool]
+
+[softmax]
+groups=1
+
+[cost]
+

darknet/cfg/cifar.test.cfg

@@ -0,0 +1,119 @@
+[net]
+batch=128
+subdivisions=1
+height=32
+width=32
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.4
+policy=poly
+power=4
+max_batches = 50000
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[dropout]
+probability=.5
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[dropout]
+probability=.5
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[dropout]
+probability=.5
+
+[convolutional]
+filters=10
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[avgpool]
+
+[softmax]
+groups=1
+temperature=3
+
+[cost]
+

darknet/cfg/coco.data

@@ -0,0 +1,8 @@
+classes= 80
+train  = /home/pjreddie/data/coco/trainvalno5k.txt
+#valid  = coco_testdev
+valid = data/coco_val_5k.list
+names = data/coco.names
+backup = /home/pjreddie/backup/
+eval=coco
+

darknet/cfg/combine9k.data

@@ -0,0 +1,10 @@
+classes= 9418
+#train  = /home/pjreddie/data/coco/trainvalno5k.txt
+train  = data/combine9k.train.list
+valid  = /home/pjreddie/data/imagenet/det.val.files
+labels = data/9k.labels
+names  = data/9k.names
+backup = backup/
+map = data/inet9k.map
+eval = imagenet
+results = results