adding yolo9000

.gitignore

@@ -3,6 +3,8 @@
 *.csv
 *.out
 *.png
+*.jpg
+old/
 mnist/
 data/
 caffe/

cfg/coco.data

@@ -1,7 +1,7 @@
 classes= 80
 train  = /home/pjreddie/data/coco/trainvalno5k.txt
-valid  = coco_testdev
-#valid = data/coco_val_5k.list
+#valid  = coco_testdev
+valid = data/coco_val_5k.list
 names = data/coco.names
 backup = /home/pjreddie/backup/
 eval=coco

cfg/voc.data

@@ -2,5 +2,5 @@ classes= 20
 train  = /home/pjreddie/data/voc/train.txt
 valid  = /home/pjreddie/data/voc/2007_test.txt
 names = data/voc.names
-backup = /home/pjreddie/backup/
+backup = backup
 

cfg/yolo9000.cfg

@@ -0,0 +1,211 @@
+[net]
+batch=1
+subdivisions=1
+height=416
+width=416
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.00001
+max_batches = 242200
+policy=steps
+steps=500,200000,240000
+scales=10,.1,.1
+
+hue=.1
+saturation=.75
+exposure=.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=28269
+size=1
+stride=1
+pad=1
+activation=linear
+
+[region]
+anchors = 0.77871, 1.14074, 3.00525, 4.31277, 9.22725, 9.61974
+bias_match=1
+classes=9418
+coords=4
+num=3
+softmax=1
+jitter=.2
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+thresh = .6
+absolute=1
+random=1
+
+tree=data/9k.tree
+map = data/coco9k.map