~speedprog/mtg/mtg_card_detector.git

			@@ -1,209 +1,224 @@
			[net]
			batch=64
			subdivisions=64
			batch=1
			subdivisions=1
			height=448
			width=448
			channels=3
			learning_rate=0.001
			momentum=0.9
			decay=0.0005

			learning_rate=0.001
			policy=steps
			steps=50, 5000
			scales=10, .1
			max_batches = 8000

			[crop]
			crop_width=448
			crop_height=448
			flip=0
			angle=0
			saturation = 2
			exposure = 2
			steps=200,400,600,20000,30000
			scales=2.5,2,2,.1,.1
			max_batches = 40000

			[convolutional]
			filters=64
			size=7
			stride=2
			pad=1
			activation=ramp
			activation=leaky

			[maxpool]
			size=2
			stride=2

			[convolutional]
			filters=192
			size=3
			stride=2
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[maxpool]
			size=2
			stride=2

			[convolutional]
			filters=128
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=256
			size=3
			stride=1
			pad=1
			activation=leaky

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=leaky

			[convolutional]
			filters=512
			size=3
			stride=1
			pad=1
			activation=leaky

			[maxpool]
			size=2
			stride=2
			pad=1
			activation=ramp

			[convolutional]
			filters=128
			size=1
			stride=1
			pad=1
			activation=ramp

			[convolutional]
			filters=256
			size=3
			stride=1
			pad=1
			activation=ramp

			[convolutional]
			filters=128
			size=1
			stride=1
			pad=1
			activation=ramp

			[convolutional]
			filters=512
			size=3
			stride=2
			pad=1
			activation=ramp

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=512
			size=3
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=512
			size=3
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=512
			size=3
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=512
			size=3
			stride=1
			pad=1
			activation=ramp

			[convolutional]
			filters=256
			size=1
			stride=1
			pad=1
			activation=ramp

			[convolutional]
			filters=1024
			size=3
			stride=2
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=512
			size=1
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[convolutional]
			filters=1024
			size=3
			stride=1
			pad=1
			activation=ramp
			activation=leaky

			[maxpool]
			size=2
			stride=2

			[convolutional]
			filters=512
			size=1
			stride=1
			pad=1
			activation=leaky

			[convolutional]
			filters=1024
			size=3
			stride=1
			pad=1
			activation=leaky

			[convolutional]
			filters=512
			size=1
			stride=1
			pad=1
			activation=leaky

			[convolutional]
			filters=1024
			size=3
			stride=1
			pad=1
			activation=leaky

			#######

			[convolutional]
			size=3
			stride=1
			pad=1
			filters=1024
			activation=ramp
			activation=leaky

			[convolutional]
			size=3
			stride=2
			pad=1
			filters=1024
			activation=ramp
			activation=leaky

			[convolutional]
			size=3
			stride=1
			pad=1
			filters=1024
			activation=ramp
			activation=leaky

			[convolutional]
			size=3
			stride=1
			pad=1
			filters=1024
			activation=ramp
			activation=leaky

			[connected]
			output=4096
			activation=ramp

			[dropout]
			probability=.5
			activation=leaky

			[connected]
			output=1225
			activation=logistic
			output= 1470
			activation=linear

			[detection]
			classes=20
			coords=4
			rescore=0
			joint=0
			objectness=1
			rescore=1
			side=7
			num=2
			softmax=0
			sqrt=1
			jitter=.2

			object_scale=1
			noobject_scale=.5
			class_scale=1
			coord_scale=5