From e8dd9dd877a3cf370ed78a9b3a78935e9f994f28 Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Thu, 14 Sep 2017 19:14:16 +0000 Subject: [PATCH] Added classifier_densenet201.cmd --- cfg/inet9k.map | 200 build/darknet/x64/cfg/coco.data | 8 build/darknet/x64/cfg/go.test.cfg | 131 build/darknet/x64/cfg/yolo9000.cfg | 218 cfg/coco9k.map | 80 build/darknet/x64/cfg/rnn.cfg | 40 build/darknet/x64/cfg/rnn.train.cfg | 40 build/darknet/x64/cfg/yolo.cfg | 258 build/darknet/x64/cfg/msr_152.cfg | 1598 + build/darknet/x64/cfg/yolo.2.0.cfg | 244 build/darknet/x64/cfg/tiny-yolo.cfg | 134 build/darknet/x64/cfg/t1.test.cfg | 117 build/darknet/x64/cfg/darknet19.cfg | 194 build/darknet/x64/cfg/resnet50.cfg | 511 cfg/coco.names | 80 build/darknet/x64/cfg/extraction.conv.cfg | 179 cfg/9k.tree | 1 build/darknet/x64/cfg/combine9k.data | 10 build/darknet/x64/cfg/darknet19_448.cfg | 200 cfg/imagenet.shortnames.list | 21842 +++++++++++++++++ build/darknet/x64/cfg/imagenet22k.dataset | 8 cfg/resnet50.cfg | 511 build/darknet/x64/cfg/extraction22k.cfg | 209 cfg/imagenet.labels.list | 21842 +++++++++++++++++ build/darknet/x64/cfg/yolo-voc.2.0.cfg | 244 build/darknet/x64/cfg/densenet201.cfg | 1954 + build/darknet/x64/cfg/jnet-conv.cfg | 118 build/darknet/x64/cfg/gru.cfg | 34 cfg/imagenet9k.hierarchy.dataset | 9 build/darknet/x64/cfg/cifar.cfg | 126 cfg/9k.labels | 9418 +++++++ build/darknet/x64/cfg/voc.data | 6 build/darknet/x64/cfg/writing.cfg | 41 cfg/densenet201.cfg | 1954 + build/darknet/x64/cfg/tiny-yolo-voc.cfg | 134 build/darknet/x64/cfg/alexnet.cfg | 95 build/darknet/x64/cfg/cifar.test.cfg | 119 build/darknet/x64/cfg/strided.cfg | 185 build/darknet/x64/cfg/darknet.cfg | 111 build/darknet/x64/cfg/extraction.cfg | 206 build/darknet/x64/cfg/imagenet9k.hierarchy.dataset | 9 build/darknet/x64/cfg/vgg-conv.cfg | 123 build/darknet/x64/classifier_densenet201.cmd | 4 build/darknet/x64/cfg/msr_34.cfg | 366 cfg/9k.names | 9418 +++++++ build/darknet/x64/cfg/imagenet1k.data | 8 build/darknet/x64/cfg/yolo-voc.cfg | 258 build/darknet/x64/cfg/vgg-16.cfg | 153 build/darknet/x64/cfg/msr_50.cfg | 558 build/darknet/x64/cfg/tiny.cfg | 172 50 files changed, 74,478 insertions(+), 0 deletions(-) diff --git a/build/darknet/x64/cfg/alexnet.cfg b/build/darknet/x64/cfg/alexnet.cfg new file mode 100644 index 0000000..7e5a9b2 --- /dev/null +++ b/build/darknet/x64/cfg/alexnet.cfg @@ -0,0 +1,95 @@ +[net] +batch=128 +subdivisions=1 +height=227 +width=227 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=256 + +learning_rate=0.01 +policy=poly +power=4 +max_batches=800000 + +angle=7 +hue = .1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +filters=96 +size=11 +stride=4 +pad=0 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[convolutional] +filters=256 +size=5 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[convolutional] +filters=384 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=384 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=3 +stride=2 +padding=0 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=1000 +activation=linear + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/cifar.cfg b/build/darknet/x64/cfg/cifar.cfg new file mode 100644 index 0000000..f2c801a --- /dev/null +++ b/build/darknet/x64/cfg/cifar.cfg @@ -0,0 +1,126 @@ +[net] +batch=128 +subdivisions=1 +height=32 +width=32 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.4 +policy=poly +power=4 +max_batches = 50000 + +[crop] +crop_width=28 +crop_height=28 +flip=1 +angle=0 +saturation = 1 +exposure = 1 +noadjust=1 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +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 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +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 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +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=3 +stride=1 +pad=1 +activation=leaky + +[dropout] +probability=.5 + +[convolutional] +filters=10 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] + diff --git a/build/darknet/x64/cfg/cifar.test.cfg b/build/darknet/x64/cfg/cifar.test.cfg new file mode 100644 index 0000000..d3afcdd --- /dev/null +++ b/build/darknet/x64/cfg/cifar.test.cfg @@ -0,0 +1,119 @@ +[net] +batch=128 +subdivisions=1 +height=32 +width=32 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.4 +policy=poly +power=4 +max_batches = 50000 + + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +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 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +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 + +[dropout] +probability=.5 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +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=3 +stride=1 +pad=1 +activation=leaky + +[dropout] +probability=.5 + +[convolutional] +filters=10 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 +temperature=3 + +[cost] + diff --git a/build/darknet/x64/cfg/coco.data b/build/darknet/x64/cfg/coco.data new file mode 100644 index 0000000..3003841 --- /dev/null +++ b/build/darknet/x64/cfg/coco.data @@ -0,0 +1,8 @@ +classes= 80 +train = /home/pjreddie/data/coco/trainvalno5k.txt +valid = coco_testdev +#valid = data/coco_val_5k.list +names = data/coco.names +backup = /home/pjreddie/backup/ +eval=coco + diff --git a/build/darknet/x64/cfg/combine9k.data b/build/darknet/x64/cfg/combine9k.data new file mode 100644 index 0000000..06a3e76 --- /dev/null +++ b/build/darknet/x64/cfg/combine9k.data @@ -0,0 +1,10 @@ +classes= 9418 +#train = /home/pjreddie/data/coco/trainvalno5k.txt +train = data/combine9k.train.list +valid = /home/pjreddie/data/imagenet/det.val.files +labels = data/9k.labels +names = data/9k.names +backup = backup/ +map = data/inet9k.map +eval = imagenet +results = results diff --git a/build/darknet/x64/cfg/darknet.cfg b/build/darknet/x64/cfg/darknet.cfg new file mode 100644 index 0000000..60b939a --- /dev/null +++ b/build/darknet/x64/cfg/darknet.cfg @@ -0,0 +1,111 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=320 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=2 +padding=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/darknet19.cfg b/build/darknet/x64/cfg/darknet19.cfg new file mode 100644 index 0000000..bf73fb7 --- /dev/null +++ b/build/darknet/x64/cfg/darknet19.cfg @@ -0,0 +1,194 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=448 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +[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=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/darknet19_448.cfg b/build/darknet/x64/cfg/darknet19_448.cfg new file mode 100644 index 0000000..133c688 --- /dev/null +++ b/build/darknet/x64/cfg/darknet19_448.cfg @@ -0,0 +1,200 @@ +[net] +batch=128 +subdivisions=4 +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=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/densenet201.cfg b/build/darknet/x64/cfg/densenet201.cfg new file mode 100644 index 0000000..5e1e7dd --- /dev/null +++ b/build/darknet/x64/cfg/densenet201.cfg @@ -0,0 +1,1954 @@ +[net] +# Training +# batch=128 +# subdivisions=4 + +# Testing +batch=1 +subdivisions=1 + +height=256 +width=256 +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 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 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+[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] 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+batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/extraction.conv.cfg b/build/darknet/x64/cfg/extraction.conv.cfg new file mode 100644 index 0000000..2a7d09e --- /dev/null +++ b/build/darknet/x64/cfg/extraction.conv.cfg @@ -0,0 +1,179 @@ +[net] +batch=1 +subdivisions=1 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.5 +policy=poly +power=6 +max_batches=500000 + +[convolutional] +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +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 + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +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 + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +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 + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +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 + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + diff --git a/build/darknet/x64/cfg/extraction22k.cfg b/build/darknet/x64/cfg/extraction22k.cfg new file mode 100644 index 0000000..4cec6da --- /dev/null +++ b/build/darknet/x64/cfg/extraction22k.cfg @@ -0,0 +1,209 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +max_crop=320 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.01 +max_batches = 0 +policy=steps +steps=444000,590000,970000 +scales=.5,.2,.1 + +#policy=sigmoid +#gamma=.00008 +#step=100000 +#max_batches=200000 + +[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 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[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 + +[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=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=1024 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=3 +stride=1 +pad=1 +activation=leaky + +[avgpool] + +[connected] +output=21842 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/go.test.cfg b/build/darknet/x64/cfg/go.test.cfg new file mode 100644 index 0000000..6b92d33 --- /dev/null +++ b/build/darknet/x64/cfg/go.test.cfg @@ -0,0 +1,131 @@ +[net] +batch=1 +subdivisions=1 +height=19 +width=19 +channels=1 +momentum=0.9 +decay=0.0005 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=400000 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + +[convolutional] +filters=192 +size=3 +stride=1 +pad=1 +activation=relu +batch_normalize=1 + + +[convolutional] +filters=1 +size=1 +stride=1 +pad=1 +activation=linear + +[softmax] + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/gru.cfg b/build/darknet/x64/cfg/gru.cfg new file mode 100644 index 0000000..f9a0699 --- /dev/null +++ b/build/darknet/x64/cfg/gru.cfg @@ -0,0 +1,34 @@ +[net] +subdivisions=1 +inputs=256 +batch = 1 +momentum=0.9 +decay=0.001 +time_steps=1 +learning_rate=0.5 + +policy=poly +power=4 +max_batches=2000 + +[gru] +batch_normalize=1 +output = 1024 + +[gru] +batch_normalize=1 +output = 1024 + +[gru] +batch_normalize=1 +output = 1024 + +[connected] +output=256 +activation=linear + +[softmax] + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/imagenet1k.data b/build/darknet/x64/cfg/imagenet1k.data new file mode 100644 index 0000000..6634a27 --- /dev/null +++ b/build/darknet/x64/cfg/imagenet1k.data @@ -0,0 +1,8 @@ +classes=1000 +train = /data/imagenet/imagenet1k.train.list +valid = /data/imagenet/imagenet1k.valid.list +backup = /home/pjreddie/backup/ +labels = data/imagenet.labels.list +names = data/imagenet.shortnames.list +top=5 + diff --git a/build/darknet/x64/cfg/imagenet22k.dataset b/build/darknet/x64/cfg/imagenet22k.dataset new file mode 100644 index 0000000..920785d --- /dev/null +++ b/build/darknet/x64/cfg/imagenet22k.dataset @@ -0,0 +1,8 @@ +classes=21842 +train = /data/imagenet/imagenet22k.train.list +valid = /data/imagenet/imagenet22k.valid.list +backup = /home/pjreddie/backup/ +labels = data/imagenet.labels.list +names = data/imagenet.shortnames.list +top = 5 + diff --git a/build/darknet/x64/cfg/imagenet9k.hierarchy.dataset b/build/darknet/x64/cfg/imagenet9k.hierarchy.dataset new file mode 100644 index 0000000..41fb71b --- /dev/null +++ b/build/darknet/x64/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 + diff --git a/build/darknet/x64/cfg/jnet-conv.cfg b/build/darknet/x64/cfg/jnet-conv.cfg new file mode 100644 index 0000000..056f82a --- /dev/null +++ b/build/darknet/x64/cfg/jnet-conv.cfg @@ -0,0 +1,118 @@ +[net] +batch=1 +subdivisions=1 +height=10 +width=10 +channels=3 +learning_rate=0.01 +momentum=0.9 +decay=0.0005 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +stride=2 +size=2 + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + diff --git a/build/darknet/x64/cfg/msr_152.cfg b/build/darknet/x64/cfg/msr_152.cfg new file mode 100644 index 0000000..b19c999 --- /dev/null +++ b/build/darknet/x64/cfg/msr_152.cfg @@ -0,0 +1,1598 @@ +[net] +batch=128 +subdivisions=8 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0001 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=500000 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +##### Conv 1 ##### + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + + +##### Conv 2_x ##### + + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=1 +pad=1 +activation=linear +filters=256 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +##### Conv 3_x ##### + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=512 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + + +##### Conv 4_x ##### + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=1024 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + + +##### Conv 5_x ##### + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=2048 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 + +activation=leaky + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/msr_34.cfg b/build/darknet/x64/cfg/msr_34.cfg new file mode 100644 index 0000000..5ae23cf --- /dev/null +++ b/build/darknet/x64/cfg/msr_34.cfg @@ -0,0 +1,366 @@ +[net] +batch=128 +subdivisions=1 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=500000 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + + + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + + + + + + + + + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[shortcut] +from = -3 + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/msr_50.cfg b/build/darknet/x64/cfg/msr_50.cfg new file mode 100644 index 0000000..2edd21c --- /dev/null +++ b/build/darknet/x64/cfg/msr_50.cfg @@ -0,0 +1,558 @@ +[net] +batch=128 +subdivisions=8 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0001 + +learning_rate=0.05 +policy=poly +power=4 +max_batches=500000 + + + +[crop] +crop_height=224 +crop_width=224 +flip=1 +saturation=1 +exposure=1 +angle=0 + +##### Conv 1 ##### + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=3 +stride=2 + + +##### Conv 2_x ##### + + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=1 +pad=1 +activation=linear +filters=256 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 3_x ##### + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=512 + +[shortcut] +from = -3 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 4_x ##### + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=1024 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + + +##### Conv 5_x ##### + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + + +[route] +layers=-4 + +[convolutional] +batch_normalize=1 +size=1 +stride=2 +pad=1 +activation=linear +filters=2048 + +[shortcut] +from = -3 +activation=leaky + + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from = -4 +activation=leaky + +[avgpool] + +[connected] +output=1000 +activation=leaky + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/resnet50.cfg b/build/darknet/x64/cfg/resnet50.cfg new file mode 100644 index 0000000..bfe69b1 --- /dev/null +++ b/build/darknet/x64/cfg/resnet50.cfg @@ -0,0 +1,511 @@ +[net] +# Training +# batch=128 +# subdivisions=4 + +# Testing +batch=1 +subdivisions=1 + +height=256 +width=256 +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 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + + +# Conv 4 +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +#Conv 5 +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + + + + + + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/rnn.cfg b/build/darknet/x64/cfg/rnn.cfg new file mode 100644 index 0000000..68c032d --- /dev/null +++ b/build/darknet/x64/cfg/rnn.cfg @@ -0,0 +1,40 @@ +[net] +subdivisions=1 +inputs=256 +batch = 1 +momentum=0.9 +decay=0.001 +max_batches = 2000 +time_steps=1 +learning_rate=0.1 +policy=steps +steps=1000,1500 +scales=.1,.1 + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[connected] +output=256 +activation=leaky + +[softmax] + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/rnn.train.cfg b/build/darknet/x64/cfg/rnn.train.cfg new file mode 100644 index 0000000..9139757 --- /dev/null +++ b/build/darknet/x64/cfg/rnn.train.cfg @@ -0,0 +1,40 @@ +[net] +subdivisions=1 +inputs=256 +batch = 128 +momentum=0.9 +decay=0.001 +max_batches = 2000 +time_steps=576 +learning_rate=0.1 +policy=steps +steps=1000,1500 +scales=.1,.1 + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[rnn] +batch_normalize=1 +output = 1024 +hidden=1024 +activation=leaky + +[connected] +output=256 +activation=leaky + +[softmax] + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/strided.cfg b/build/darknet/x64/cfg/strided.cfg new file mode 100644 index 0000000..a52700b --- /dev/null +++ b/build/darknet/x64/cfg/strided.cfg @@ -0,0 +1,185 @@ +[net] +batch=128 +subdivisions=4 +height=256 +width=256 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.01 +policy=steps +scales=.1,.1,.1 +steps=200000,300000,400000 +max_batches=800000 + + +[crop] +crop_height=224 +crop_width=224 +flip=1 +angle=0 +saturation=1 +exposure=1 +shift=.2 + +[convolutional] +filters=64 +size=7 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=192 +size=3 +stride=2 +pad=1 +activation=ramp + +[convolutional] +filters=128 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=3 +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 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=256 +size=1 +stride=1 +pad=1 +activation=ramp + +[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 + +[convolutional] +filters=512 +size=1 +stride=1 +pad=1 +activation=ramp + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=ramp + +[maxpool] +size=3 +stride=2 + +[connected] +output=4096 +activation=ramp + +[dropout] +probability=0.5 + +[connected] +output=1000 +activation=ramp + +[softmax] + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/t1.test.cfg b/build/darknet/x64/cfg/t1.test.cfg new file mode 100644 index 0000000..b362811 --- /dev/null +++ b/build/darknet/x64/cfg/t1.test.cfg @@ -0,0 +1,117 @@ +[net] +batch=1 +subdivisions=1 +height=224 +width=224 +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 + +[convolutional] +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[connected] +output= 1470 +activation=linear + +[detection] +classes=20 +coords=4 +rescore=1 +side=7 +num=2 +softmax=0 +sqrt=1 +jitter=.2 + +object_scale=1 +noobject_scale=.5 +class_scale=1 +coord_scale=5 + diff --git a/build/darknet/x64/cfg/tiny-yolo-voc.cfg b/build/darknet/x64/cfg/tiny-yolo-voc.cfg new file mode 100644 index 0000000..ab2c066 --- /dev/null +++ b/build/darknet/x64/cfg/tiny-yolo-voc.cfg @@ -0,0 +1,134 @@ +[net] +batch=64 +subdivisions=8 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 40200 +policy=steps +steps=-1,100,20000,30000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +########### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=125 +activation=linear + +[region] +anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=20 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/build/darknet/x64/cfg/tiny-yolo.cfg b/build/darknet/x64/cfg/tiny-yolo.cfg new file mode 100644 index 0000000..5580098 --- /dev/null +++ b/build/darknet/x64/cfg/tiny-yolo.cfg @@ -0,0 +1,134 @@ +[net] +batch=64 +subdivisions=8 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=2 + +[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 + +[maxpool] +size=2 +stride=1 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +########### + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/build/darknet/x64/cfg/tiny.cfg b/build/darknet/x64/cfg/tiny.cfg new file mode 100644 index 0000000..99c2603 --- /dev/null +++ b/build/darknet/x64/cfg/tiny.cfg @@ -0,0 +1,172 @@ +[net] +batch=128 +subdivisions=1 +height=224 +width=224 +channels=3 +momentum=0.9 +decay=0.0005 +max_crop=320 + +learning_rate=0.1 +policy=poly +power=4 +max_batches=1600000 + +angle=7 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=16 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=16 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=16 +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=32 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +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=64 +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=64 +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=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/vgg-16.cfg b/build/darknet/x64/cfg/vgg-16.cfg new file mode 100644 index 0000000..2b6f702 --- /dev/null +++ b/build/darknet/x64/cfg/vgg-16.cfg @@ -0,0 +1,153 @@ +[net] +batch=128 +subdivisions=4 +height=256 +width=256 +channels=3 +learning_rate=0.00001 +momentum=0.9 +decay=0.0005 + +[crop] +crop_height=224 +crop_width=224 +flip=1 +exposure=1 +saturation=1 +angle=0 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=4096 +activation=relu + +[dropout] +probability=.5 + +[connected] +output=1000 +activation=linear + +[softmax] +groups=1 + +[cost] +type=sse + diff --git a/build/darknet/x64/cfg/vgg-conv.cfg b/build/darknet/x64/cfg/vgg-conv.cfg new file mode 100644 index 0000000..e173e28 --- /dev/null +++ b/build/darknet/x64/cfg/vgg-conv.cfg @@ -0,0 +1,123 @@ +[net] +batch=1 +subdivisions=1 +width=112 +height=112 +#width=224 +#height=224 +channels=3 +learning_rate=0.00001 +momentum=0.9 +decay=0.0005 + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=64 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=128 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=256 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[convolutional] +filters=512 +size=3 +stride=1 +pad=1 +activation=relu + +[maxpool] +size=2 +stride=2 + diff --git a/build/darknet/x64/cfg/voc.data b/build/darknet/x64/cfg/voc.data new file mode 100644 index 0000000..eb6af25 --- /dev/null +++ b/build/darknet/x64/cfg/voc.data @@ -0,0 +1,6 @@ +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/ + diff --git a/build/darknet/x64/cfg/writing.cfg b/build/darknet/x64/cfg/writing.cfg new file mode 100644 index 0000000..1ed899b --- /dev/null +++ b/build/darknet/x64/cfg/writing.cfg @@ -0,0 +1,41 @@ +[net] +batch=128 +subdivisions=2 +height=256 +width=256 +channels=3 +learning_rate=0.00000001 +momentum=0.9 +decay=0.0005 +seen=0 + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=1 +size=3 +stride=1 +pad=1 +activation=logistic + +[cost] + diff --git a/build/darknet/x64/cfg/yolo-voc.2.0.cfg b/build/darknet/x64/cfg/yolo-voc.2.0.cfg new file mode 100644 index 0000000..ceb3f2a --- /dev/null +++ b/build/darknet/x64/cfg/yolo-voc.2.0.cfg @@ -0,0 +1,244 @@ +[net] +batch=64 +subdivisions=8 +height=416 +width=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.0001 +max_batches = 45000 +policy=steps +steps=100,25000,35000 +scales=10,.1,.1 + +[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] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=125 +activation=linear + +[region] +anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52 +bias_match=1 +classes=20 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/build/darknet/x64/cfg/yolo-voc.cfg b/build/darknet/x64/cfg/yolo-voc.cfg new file mode 100644 index 0000000..dbf2de2 --- /dev/null +++ b/build/darknet/x64/cfg/yolo-voc.cfg @@ -0,0 +1,258 @@ +[net] +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +height=416 +width=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +burn_in=1000 +max_batches = 80200 +policy=steps +steps=40000,60000 +scales=.1,.1 + +[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] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[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 + +[route] +layers=-1,-4 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=125 +activation=linear + + +[region] +anchors = 1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071 +bias_match=1 +classes=20 +coords=4 +num=5 +softmax=1 +jitter=.3 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/build/darknet/x64/cfg/yolo.2.0.cfg b/build/darknet/x64/cfg/yolo.2.0.cfg new file mode 100644 index 0000000..fda339a --- /dev/null +++ b/build/darknet/x64/cfg/yolo.2.0.cfg @@ -0,0 +1,244 @@ +[net] +batch=1 +subdivisions=1 +width=416 +height=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +hue=.1 + +learning_rate=0.001 +max_batches = 120000 +policy=steps +steps=-1,100,80000,100000 +scales=.1,10,.1,.1 + +[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] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[route] +layers=-9 + +[reorg] +stride=2 + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + +[region] +anchors = 0.738768,0.874946, 2.42204,2.65704, 4.30971,7.04493, 10.246,4.59428, 12.6868,11.8741 +bias_match=1 +classes=80 +coords=4 +num=5 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=0 diff --git a/build/darknet/x64/cfg/yolo.cfg b/build/darknet/x64/cfg/yolo.cfg new file mode 100644 index 0000000..7001dfa --- /dev/null +++ b/build/darknet/x64/cfg/yolo.cfg @@ -0,0 +1,258 @@ +[net] +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +height=416 +width=416 +channels=3 +momentum=0.9 +decay=0.0005 +angle=0 +saturation = 1.5 +exposure = 1.5 +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=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] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[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 + +[route] +layers=-1,-4 + +[convolutional] +batch_normalize=1 +size=3 +stride=1 +pad=1 +filters=1024 +activation=leaky + +[convolutional] +size=1 +stride=1 +pad=1 +filters=425 +activation=linear + + +[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 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +absolute=1 +thresh = .6 +random=1 diff --git a/build/darknet/x64/cfg/yolo9000.cfg b/build/darknet/x64/cfg/yolo9000.cfg new file mode 100644 index 0000000..e745f78 --- /dev/null +++ b/build/darknet/x64/cfg/yolo9000.cfg @@ -0,0 +1,218 @@ +[net] +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +batch=1 +subdivisions=1 +height=544 +width=544 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.001 +burn_in=1000 +max_batches = 500200 +policy=steps +steps=400000,450000 +scales=.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 diff --git a/build/darknet/x64/classifier_densenet201.cmd b/build/darknet/x64/classifier_densenet201.cmd new file mode 100644 index 0000000..363322e --- /dev/null +++ b/build/darknet/x64/classifier_densenet201.cmd @@ -0,0 +1,4 @@ +darknet.exe classifier predict cfg/imagenet1k.data cfg/densenet201.cfg densenet201.weights + + +pause \ No newline at end of file diff --git a/cfg/9k.labels b/cfg/9k.labels new file 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n09438844 9295 n11692265 9295 n05237755 9295 n09416890 9295 n01956764 9383 n01904806 9383 n01904886 9383 n05586759 9389 n05581932 9389 n01904029 9389 n05238282 9389 n05254795 9389 n02469248 9389 n05256862 9398 n05258051 9398 n01899894 9398 n05261404 9398 n05259914 9400 n05261310 9400 n05260240 9400 n05262185 9403 n05261566 9403 n05262534 9407 n05262422 9407 n05263183 9408 n05263448 9408 n11524662 3 n11448153 3 n09247410 3 n11508382 9413 n11524451 9413 diff --git a/cfg/coco.names b/cfg/coco.names new file mode 100644 index 0000000..ca76c80 --- /dev/null +++ b/cfg/coco.names @@ -0,0 +1,80 @@ +person +bicycle +car +motorbike +aeroplane +bus +train +truck +boat +traffic light +fire hydrant +stop sign +parking meter +bench +bird +cat +dog +horse +sheep +cow +elephant +bear +zebra +giraffe +backpack +umbrella +handbag +tie +suitcase +frisbee +skis +snowboard +sports ball +kite +baseball bat +baseball glove +skateboard +surfboard +tennis racket +bottle +wine glass +cup +fork +knife +spoon +bowl +banana +apple +sandwich +orange +broccoli +carrot +hot dog +pizza +donut +cake +chair +sofa +pottedplant +bed +diningtable +toilet +tvmonitor +laptop +mouse +remote +keyboard +cell phone +microwave +oven +toaster +sink +refrigerator +book +clock +vase +scissors +teddy bear +hair drier +toothbrush diff --git a/cfg/coco9k.map b/cfg/coco9k.map new file mode 100644 index 0000000..5155b65 --- /dev/null +++ b/cfg/coco9k.map @@ -0,0 +1,80 @@ +5177 +3768 +3802 +3800 +4107 +4072 +4071 +3797 +4097 +2645 +5150 +2644 +3257 +2523 +6527 +6866 +6912 +7342 +7255 +7271 +7217 +6858 +7343 +7233 +3704 +4374 +3641 +5001 +3899 +2999 +2631 +5141 +2015 +1133 +1935 +1930 +5144 +5143 +2371 +3916 +3745 +3640 +4749 +4736 +4735 +3678 +58 +42 +771 +81 +152 +141 +786 +700 +218 +791 +2518 +2521 +3637 +2458 +2505 +2519 +3499 +2837 +3503 +2597 +3430 +2080 +5103 +5111 +5102 +3013 +5096 +1102 +3218 +4010 +2266 +1127 +5122 +2360 diff --git a/cfg/densenet201.cfg b/cfg/densenet201.cfg new file mode 100644 index 0000000..5e1e7dd --- /dev/null +++ b/cfg/densenet201.cfg @@ -0,0 +1,1954 @@ +[net] +# Training +# batch=128 +# subdivisions=4 + +# Testing +batch=1 +subdivisions=1 + +height=256 +width=256 +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 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[route] +layers=-1,-3 + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=32 +size=3 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asphodel +hellebore +death camas +sarsaparilla +Solomon's-seal +bellwort +agave +sansevieria +cassia +locust tree +senna +angelim +milk vetch +wild indigo +pea tree +glory pea +rosewood +blackwood +tick trefoil +coral tree +vetchling +wild pea +lupine +medic +mucuna +locoweed +pole bean +pea +edible-pod pea +quira +hoary pea +bush pea +vetch +palm +sago palm +feather palm +fan palm +palmetto +areca +calamus +oil palm +raffia palm +lady palm +eriogonum +rhubarb +water plantain +waterweed +pondweed +rose +agrimonia +flowering quince +cotoneaster +avens +apple tree +wild apple +crab apple +Iowa crab +cinquefoil +plum +wild plum +bullace +apricot +cherry +wild cherry +sweet cherry +sour cherry +almond tree +almond +bird cherry +flowering cherry +chokecherry +fruit tree +bramble bush +raspberry +mountain ash +service tree +spirea +madderwort +coffee +cinchona +bedstraw +genipa +hamelia +honeysuckle +American fly honeysuckle +teasel +scabious +geranium +cranesbill +storksbill +incense tree 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+dogwood +valerian +bristle fern +flowering fern +climbing fern +clover fern +adder's tongue +grape fern +ergot +sclerotinia +earthball +Podaxaceae +false truffle +rhizopus +slime mold +cellular slime mold +downy mildew +pythium +Sarcosomataceae +club fungus +lichen +lecanora +fungus +basidiomycete +mushroom +mushroom +mushroom +toadstool +horse mushroom +meadow mushroom +royal agaric +false deathcap +fly agaric +death cap +blushing mushroom +destroying angel +chanterelle +floccose chanterelle +pig's ears +cinnabar chanterelle +jack-o-lantern fungus +inky cap +shaggymane +milkcap +fairy-ring mushroom +oyster mushroom +olive-tree agaric +Pholiota astragalina +Pholiota aurea +Pholiota destruens +Pholiota flammans +Pholiota flavida +nameko +Pholiota squarrosa-adiposa +Pholiota squarrosa +Pholiota squarrosoides +Stropharia ambigua +Stropharia hornemannii +Stropharia rugoso-annulata +Entoloma lividum +Entoloma aprile +Chlorophyllum molybdites +lepiota +parasol mushroom +poisonous parasol +Lepiota naucina +Lepiota rhacodes +American parasol +Lepiota rubrotincta +Lepiota clypeolaria +onion stem +blewits +sandy mushroom +Tricholoma pessundatum +Tricholoma sejunctum +man-on-a-horse +Tricholoma venenata +Tricholoma pardinum +Tricholoma vaccinum +Tricholoma aurantium +Pluteus aurantiorugosus +Pluteus magnus +deer mushroom +straw mushroom +Volvariella bombycina +Clitocybe clavipes +Clitocybe dealbata +Clitocybe inornata +Clitocybe robusta +Clitocybe irina +Clitocybe subconnexa +winter mushroom +mycelium +ascomycete +Clavicipitaceae +yeast +discomycete +morel +Verpa +false morel +lorchel +helvella +Gyromitra californica +Gyromitra sphaerospora +Gyromitra esculenta +Gyromitra infula +Gyromitra gigas +gasteromycete +common stinkhorn +Phallus ravenelii +dog stinkhorn +stinky squid +puffball +Geastrum coronatum +Astreus pteridis +Astreus hygrometricus +polypore +Boletus chrysenteron +Boletus edulis +Frost's bolete +Boletus luridus +Boletus mirabilis +Boletus pallidus +Boletus pulcherrimus +Boletus pulverulentus +Boletus roxanae +Boletus subvelutipes +Boletus variipes +Boletus zelleri +Fuscoboletinus paluster +Fuscoboletinus serotinus +Leccinum fibrillosum +Suillus albivelatus +old-man-of-the-woods +Boletellus russellii +jelly fungus +rust +smut +cornsmut +flag smut fungus +waxycap +Hygrocybe acutoconica +Hygrophorus borealis +Hygrophorus caeruleus +Hygrophorus inocybiformis +Hygrophorus kauffmanii +Hygrophorus marzuolus +Hygrophorus purpurascens +Hygrophorus russula +Hygrophorus sordidus +Hygrophorus tennesseensis +Hygrophorus turundus +Neohygrophorus angelesianus +Cortinarius armillatus +Cortinarius atkinsonianus +Cortinarius corrugatus +Cortinarius gentilis +Cortinarius mutabilis +Cortinarius semisanguineus +Cortinarius subfoetidus +Cortinarius violaceus +Gymnopilus spectabilis +Gymnopilus validipes +Gymnopilus ventricosus +mold +mildew +candida +houseplant +succulent +weed +sporophyll +sporangium +poisonous plant +vine +tree +bean tree +gymnospermous tree +conifer +angiospermous tree +nut tree +spice tree +bonsai +subshrub +bramble +liana +desert plant +marsh plant +strangler +root +receptacle +scape +peduncle +flower cluster +raceme +cyme +bulbous plant +fruit +seed +bean +nut +berry +aggregate fruit +drupe +drupelet +pome +pod +husk +buckthorn +vinifera +true pepper +peperomia +bract +palmate leaf +pinnate leaf +dentate leaf +branchlet +polypody +strap fern +staghorn fern +spleenwort +chain fern +davallia +hare's-foot fern +shield fern +wood fern +lady fern +bladder fern +holly fern +woodsia +maidenhair +brittle maidenhair +lip fern +cliff brake +horsetail +club moss +spikemoss +beech fern +shoestring fungus +Armillaria caligata +Armillaria ponderosa +Armillaria zelleri +honey mushroom +milkweed +stapelia +stephanotis +orangery +figure +plane figure +solid figure +line +convex shape +concave shape +cylinder +round shape +polygon +concave polygon +amorphous shape +closed curve +simple closed curve +cone +circle +ring +loop +ellipse +triangle +spherical polygon +angular distance +groove +bulge +bow +balance +toroid +boundary +incisure +notch +wrinkle +tree +regular polyhedron +carbon +rock +soil +high explosive +culture medium +agar +paper +paving +plaster +stucco +tear gas +vitamin +fat-soluble vitamin +water-soluble vitamin +vitamin A +B-complex vitamin +vitamin E +vitamin K diff --git a/cfg/imagenet9k.hierarchy.dataset b/cfg/imagenet9k.hierarchy.dataset new file mode 100644 index 0000000..41fb71b --- /dev/null +++ b/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 + diff --git a/cfg/inet9k.map b/cfg/inet9k.map new file mode 100644 index 0000000..c91b3c1 --- /dev/null +++ b/cfg/inet9k.map @@ -0,0 +1,200 @@ +2687 +4107 +8407 +7254 +42 +6797 +127 +2268 +2442 +3704 +260 +1970 +58 +4443 +2661 +2043 +2039 +4858 +4007 +6858 +8408 +166 +2523 +3768 +4347 +6527 +2446 +5005 +3274 +3678 +4918 +709 +4072 +8428 +7223 +2251 +3802 +3848 +7271 +2677 +8267 +2849 +2518 +2738 +3746 +5105 +3430 +3503 +2249 +1841 +2032 +2358 +122 +3984 +4865 +3246 +5095 +6912 +6878 +8467 +2741 +1973 +3057 +7217 +1872 +44 +2452 +3637 +2704 +6917 +2715 +6734 +2325 +6864 +6677 +2035 +1949 +338 +2664 +5122 +1844 +784 +2223 +7188 +2719 +2670 +4830 +158 +4818 +7228 +1965 +7342 +786 +2095 +8281 +8258 +7406 +3915 +8382 +2437 +2837 +82 +6871 +1876 +7447 +8285 +5007 +2740 +3463 +5103 +3755 +4910 +6809 +3800 +118 +3396 +3092 +2709 +81 +7105 +4036 +2366 +1846 +5177 +2684 +64 +2041 +3919 +700 +3724 +1742 +39 +807 +7184 +2256 +235 +2778 +2996 +2030 +3714 +7167 +2369 +6705 +6861 +5096 +2597 +2166 +2036 +3228 +3747 +2711 +8300 +2226 +7153 +7255 +2631 +7109 +8242 +7445 +3776 +3803 +3690 +2025 +2521 +2316 +7190 +8249 +3352 +2639 +2887 +100 +4219 +3344 +5008 +7224 +3351 +2434 +2074 +2034 +8304 +5004 +6868 +5102 +2645 +4071 +2716 +2717 +7420 +3499 +3763 +5084 +2676 +2046 +5107 +5097 +3944 +4097 +7132 +3956 +7343 diff --git a/cfg/resnet50.cfg b/cfg/resnet50.cfg new file mode 100644 index 0000000..bfe69b1 --- /dev/null +++ b/cfg/resnet50.cfg @@ -0,0 +1,511 @@ +[net] +# Training +# batch=128 +# subdivisions=4 + +# Testing +batch=1 +subdivisions=1 + +height=256 +width=256 +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 +hue=.1 +saturation=.75 +exposure=.75 +aspect=.75 + +[convolutional] +batch_normalize=1 +filters=64 +size=7 +stride=2 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + + +# Conv 4 +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +#Conv 5 +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=2 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +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=2048 +size=1 +stride=1 +pad=1 +activation=linear + +[shortcut] +from=-4 +activation=leaky + + + + + + +[convolutional] +filters=1000 +size=1 +stride=1 +pad=1 +activation=linear + +[avgpool] + +[softmax] +groups=1 + +[cost] +type=sse + -- Gitblit v1.10.0