working on TED demo

cfg/darknet9000.cfg

@@ -0,0 +1,205 @@
+[net]
+# Training
+# batch=128
+# subdivisions=4
+# Testing
+batch = 1
+subdivisions = 1
+height=448
+width=448
+max_crop=512
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.001
+policy=poly
+power=4
+max_batches=100000
+
+angle=7
+hue=.1
+saturation=.75
+exposure=.75
+aspect=.75
+
+[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
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+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
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+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
+
+[convolutional]
+batch_normalize=1
+filters=512
+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]
+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
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=9418
+size=1
+stride=1
+pad=1
+activation=linear
+
+[avgpool]
+
+[softmax]
+groups=1
+tree=data/9k.tree
+
+[cost]
+type=masked
+

cfg/imagenet9k.hierarchy.dataset

@@ -0,0 +1,9 @@
+classes=9418
+train  = data/9k.train.list
+valid  = /data/imagenet/imagenet1k.valid.list
+leaves = data/imagenet1k.labels
+backup = /home/pjreddie/backup/
+labels = data/9k.labels
+names  = data/9k.names
+top=5
+

cfg/yolo9000.cfg

@@ -1,17 +1,24 @@
 [net]
+# Testing
+# batch=1
+# subdivisions=1
+# Training
+batch=64
+subdivisions=8
 batch=1
 subdivisions=1
-height=416
-width=416
+height=544
+width=544
 channels=3
 momentum=0.9
 decay=0.0005
 
-learning_rate=0.00001
-max_batches = 242200
+learning_rate=0.001
+burn_in=1000
+max_batches = 500200
 policy=steps
-steps=500,200000,240000
-scales=10,.1,.1
+steps=400000,450000
+scales=.1,.1
 
 hue=.1
 saturation=.75