~speedprog/mtg/mtg_card_detector.git

			@@ -1,30 +1,21 @@
			[net]
			# Training
			batch=64
			subdivisions=32

			# Testing
			#batch=1
			#subdivisions=1

			subdivisions=8
			height=416
			width=416
			#max_crop=448
			channels=3
			momentum=0.9
			decay=0.0005

			burn_in=1000
			learning_rate=0.1
			policy=poly
			power=4
			max_batches=1600000

			angle=7
			angle=0
			saturation = 1.5
			exposure = 1.5
			hue=.1
			saturation=.75
			exposure=.75
			aspect=.75

			learning_rate=0.0001
			max_batches = 45000
			policy=steps
			steps=100,25000,35000
			scales=10,.1,.1

			[convolutional]
			batch_normalize=1
			@@ -1935,7 +1926,7 @@

			[route]
			layers=-1,-3
			stopbackward=1
			#stopbackward=1


			[convolutional]