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- signficantly change the documentation file - link to it from index.md - remove the image resizing script, since (a) it does not work, (b) is obviated by using ImagesLayer - add sample prototxt that uses ImagesLayer.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,247 @@ | ||
| name: "CaffeNet" | ||
| layers { | ||
| layer { | ||
| name: "data" | ||
| type: "images" | ||
| source: "$CAFFE_DIR/examples/_temp/file_list.txt" | ||
| meanfile: "$CAFFE_DIR/data/ilsvrc12/imagenet_mean.binaryproto" | ||
| batchsize: 50 | ||
| new_height: 256 | ||
| new_width: 256 | ||
| mirror: false | ||
| cropsize: 227 | ||
| } | ||
| top: "data" | ||
| top: "label" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "conv1" | ||
| type: "conv" | ||
| num_output: 96 | ||
| kernelsize: 11 | ||
| stride: 4 | ||
| } | ||
| bottom: "data" | ||
| top: "conv1" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu1" | ||
| type: "relu" | ||
| } | ||
| bottom: "conv1" | ||
| top: "conv1" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "pool1" | ||
| type: "pool" | ||
| pool: MAX | ||
| kernelsize: 3 | ||
| stride: 2 | ||
| } | ||
| bottom: "conv1" | ||
| top: "pool1" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "norm1" | ||
| type: "lrn" | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| bottom: "pool1" | ||
| top: "norm1" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "conv2" | ||
| type: "conv" | ||
| num_output: 256 | ||
| group: 2 | ||
| kernelsize: 5 | ||
| pad: 2 | ||
| } | ||
| bottom: "norm1" | ||
| top: "conv2" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu2" | ||
| type: "relu" | ||
| } | ||
| bottom: "conv2" | ||
| top: "conv2" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "pool2" | ||
| type: "pool" | ||
| pool: MAX | ||
| kernelsize: 3 | ||
| stride: 2 | ||
| } | ||
| bottom: "conv2" | ||
| top: "pool2" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "norm2" | ||
| type: "lrn" | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| bottom: "pool2" | ||
| top: "norm2" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "conv3" | ||
| type: "conv" | ||
| num_output: 384 | ||
| kernelsize: 3 | ||
| pad: 1 | ||
| } | ||
| bottom: "norm2" | ||
| top: "conv3" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu3" | ||
| type: "relu" | ||
| } | ||
| bottom: "conv3" | ||
| top: "conv3" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "conv4" | ||
| type: "conv" | ||
| num_output: 384 | ||
| group: 2 | ||
| kernelsize: 3 | ||
| pad: 1 | ||
| } | ||
| bottom: "conv3" | ||
| top: "conv4" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu4" | ||
| type: "relu" | ||
| } | ||
| bottom: "conv4" | ||
| top: "conv4" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "conv5" | ||
| type: "conv" | ||
| num_output: 256 | ||
| group: 2 | ||
| kernelsize: 3 | ||
| pad: 1 | ||
| } | ||
| bottom: "conv4" | ||
| top: "conv5" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu5" | ||
| type: "relu" | ||
| } | ||
| bottom: "conv5" | ||
| top: "conv5" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "pool5" | ||
| type: "pool" | ||
| kernelsize: 3 | ||
| pool: MAX | ||
| stride: 2 | ||
| } | ||
| bottom: "conv5" | ||
| top: "pool5" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "fc6" | ||
| type: "innerproduct" | ||
| num_output: 4096 | ||
| } | ||
| bottom: "pool5" | ||
| top: "fc6" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu6" | ||
| type: "relu" | ||
| } | ||
| bottom: "fc6" | ||
| top: "fc6" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "drop6" | ||
| type: "dropout" | ||
| dropout_ratio: 0.5 | ||
| } | ||
| bottom: "fc6" | ||
| top: "fc6" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "fc7" | ||
| type: "innerproduct" | ||
| num_output: 4096 | ||
| } | ||
| bottom: "fc6" | ||
| top: "fc7" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "relu7" | ||
| type: "relu" | ||
| } | ||
| bottom: "fc7" | ||
| top: "fc7" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "drop7" | ||
| type: "dropout" | ||
| dropout_ratio: 0.5 | ||
| } | ||
| bottom: "fc7" | ||
| top: "fc7" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "fc8" | ||
| type: "innerproduct" | ||
| num_output: 1000 | ||
| } | ||
| bottom: "fc7" | ||
| top: "fc8" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "prob" | ||
| type: "softmax" | ||
| } | ||
| bottom: "fc8" | ||
| top: "prob" | ||
| } | ||
| layers { | ||
| layer { | ||
| name: "accuracy" | ||
| type: "accuracy" | ||
| } | ||
| bottom: "prob" | ||
| bottom: "label" | ||
| top: "accuracy" | ||
| } |