From 9c2c220c88aff4d0bcbdd5b03b10c6d1a7db56d3 Mon Sep 17 00:00:00 2001 From: Edmond Yoo <hj3yoo@uwaterloo.ca> Date: Sun, 16 Sep 2018 03:14:14 +0000 Subject: [PATCH] Moving files from MTGCardDetector #2 --- cfg/yolo.cfg | 265 ++++++++++++++++++++++++++--------------------------- 1 files changed, 130 insertions(+), 135 deletions(-) diff --git a/cfg/yolo.cfg b/cfg/yolo.cfg index 6876eff..7001dfa 100644 --- a/cfg/yolo.cfg +++ b/cfg/yolo.cfg @@ -1,42 +1,30 @@ [net] -batch=64 -subdivisions=2 -height=448 -width=448 +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +height=416 +width=416 channels=3 momentum=0.9 decay=0.0005 - -learning_rate=0.0005 -policy=steps -steps=200,400,600,20000,30000 -scales=2.5,2,2,.1,.1 -max_batches = 40000 - -[crop] -crop_width=448 -crop_height=448 -flip=0 angle=0 saturation = 1.5 exposure = 1.5 -noadjust=1 +hue=.1 + +learning_rate=0.001 +burn_in=1000 +max_batches = 500200 +policy=steps +steps=400000,450000 +scales=.1,.1 [convolutional] batch_normalize=1 -filters=64 -size=7 -stride=2 -pad=1 -activation=leaky - -[maxpool] -size=2 -stride=2 - -[convolutional] -batch_normalize=1 -filters=192 +filters=32 size=3 stride=1 pad=1 @@ -48,6 +36,54 @@ [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 @@ -62,6 +98,34 @@ 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 @@ -84,88 +148,12 @@ [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 - -[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 - -[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 -[maxpool] -size=2 -stride=2 - [convolutional] batch_normalize=1 filters=512 @@ -198,6 +186,7 @@ pad=1 activation=leaky + ####### [convolutional] @@ -211,10 +200,27 @@ [convolutional] batch_normalize=1 size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[convolutional] +batch_normalize=1 +size=1 +stride=1 +pad=1 +filters=64 +activation=leaky + +[reorg] stride=2 -pad=1 -filters=1024 -activation=leaky + +[route] +layers=-1,-4 [convolutional] batch_normalize=1 @@ -225,39 +231,28 @@ activation=leaky [convolutional] -batch_normalize=1 -size=3 +size=1 stride=1 pad=1 -filters=1024 -activation=leaky - -[local] -size=3 -stride=1 -pad=1 -filters=256 -activation=leaky - -[dropout] -probability=.5 - -[connected] -output= 1715 +filters=425 activation=linear -[detection] -classes=20 + +[region] +anchors = 0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828 +bias_match=1 +classes=80 coords=4 +num=5 +softmax=1 +jitter=.3 rescore=1 -side=7 -num=3 -softmax=0 -sqrt=1 -jitter=.2 -object_scale=1 -noobject_scale=.5 +object_scale=5 +noobject_scale=1 class_scale=1 -coord_scale=5 +coord_scale=1 +absolute=1 +thresh = .6 +random=1 -- Gitblit v1.10.0