-train_net: "examples/pascal_finetune.prototxt"
-test_net: "examples/pascal_finetune_val.prototxt"
+train_net: "pascal_finetune_train.prototxt"
+test_net: "pascal_finetune_val.prototxt"
test_iter: 100
test_interval: 1000
base_lr: 0.001
momentum: 0.9
weight_decay: 0.0005
snapshot: 10000
-snapshot_prefix: "./snapshots/pascal_finetune_train"
+snapshot_prefix: "pascal_finetune_train"
layer {
name: "data"
type: "window_data"
- source: "/work5/rbg/convnet-selective-search/selective-search-data/window_file_2007_trainval.txt"
- meanfile: "/home/eecs/rbg/working/caffe-rbg/data/ilsvrc2012_mean.binaryproto"
+ source: "window_file_2007_trainval.txt"
+ meanfile: "../../data/ilsvrc12/imagenet_mean.binaryproto"
batchsize: 128
cropsize: 227
mirror: true
layer {
name: "data"
type: "window_data"
- source: "/work5/rbg/convnet-selective-search/selective-search-data/window_file_2007_test.txt"
- meanfile: "/home/eecs/rbg/working/caffe-rbg/data/ilsvrc2012_mean.binaryproto"
+ source: "window_file_2007_test.txt"
+ meanfile: "../../data/ilsvrc12/imagenet_mean.binaryproto"
batchsize: 128
cropsize: 227
mirror: true