drop models/ in favor of examples/

Move the Caffe reference imagenet model and script to fetch it to
examples/imagenet.

Caffe bundles reference models, but it makes more sense to keep them
close to examples.

9 files changed, 11 insertions, 11 deletions

diff --git a/docs/getting_pretrained_models.md b/docs/getting_pretrained_models.md
index fb108129..56a64457 100644
--- a/docs/getting_pretrained_models.md
+++ b/docs/getting_pretrained_models.md
@@ -12,6 +12,6 @@ This page will be updated as more models become available.
 
 ### ImageNet
 
-Our reference implementation of the AlexNet model trained on ILSVRC-2012 can be downloaded (232.57MB) by running `models/get_caffe_reference_imagenet_model.sh` from the Caffe root directory.
+Our reference implementation of the AlexNet model trained on ILSVRC-2012 can be downloaded (232.57MB) by running `examples/imagenet/get_caffe_reference_imagenet_model.sh` from the Caffe root directory.
 
 Additionally, you will probably eventually need some auxiliary data (mean image, synset list, etc.): run `data/ilsvrc12/get_ilsvrc_aux.sh` from the root directory to obtain it.
diff --git a/docs/imagenet_training.md b/docs/imagenet_training.md
index 140ee68d..a1553dd6 100644
--- a/docs/imagenet_training.md
+++ b/docs/imagenet_training.md
@@ -52,7 +52,7 @@ which will make `data/ilsvrc12/imagenet_mean.binaryproto`.
 Network Definition
 ------------------
 
-The network definition follows strictly the one in Krizhevsky et al. You can find the detailed definition at `examples/imagenet/imagenet.prototxt`. Note that the paths in the data layer - if you have not followed the exact paths in this guide you will need to change the following lines:
+The network definition follows strictly the one in Krizhevsky et al. You can find the detailed definition at `examples/imagenet/imagenet_train.prototxt`. Note the paths in the data layer - if you have not followed the exact paths in this guide you will need to change the following lines:
 
     source: "ilvsrc12_train_leveldb"
     meanfile: "../../data/ilsvrc12/imagenet_mean.binaryproto"
diff --git a/examples/filter_visualization.ipynb b/examples/filter_visualization.ipynb
index 30cf8b7a..881f44b4 100644
--- a/examples/filter_visualization.ipynb
+++ b/examples/filter_visualization.ipynb
@@ -59,8 +59,8 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "net = caffe.imagenet.ImageNetClassifier(caffe_root + 'models/imagenet.prototxt',\n",
-      "                                        caffe_root + 'models/caffe_reference_imagenet_model')\n",
+      "net = caffe.imagenet.ImageNetClassifier(caffe_root + 'examples/imagenet/imagenet_deploy.prototxt',\n",
+      "                                        caffe_root + 'examples/imagenet/caffe_reference_imagenet_model')\n",
       "net.caffenet.set_phase_test()\n",
       "net.caffenet.set_mode_cpu()"
      ],
@@ -615,4 +615,4 @@
    "metadata": {}
   }
  ]
-}
\ No newline at end of file
+}
diff --git a/models/get_caffe_reference_imagenet_model.sh b/examples/imagenet/get_caffe_reference_imagenet_model.sh
index 0d65dd68..0d65dd68 100755
--- a/models/get_caffe_reference_imagenet_model.sh
+++ b/examples/imagenet/get_caffe_reference_imagenet_model.sh
diff --git a/models/imagenet.prototxt b/examples/imagenet/imagenet_deploy.prototxt
index 0b1f41ab..0b1f41ab 100644
--- a/models/imagenet.prototxt
+++ b/examples/imagenet/imagenet_deploy.prototxt
diff --git a/examples/selective_search_demo.ipynb b/examples/selective_search_demo.ipynb
index 1e0d1d9a..6891a9e1 100644
--- a/examples/selective_search_demo.ipynb
+++ b/examples/selective_search_demo.ipynb
@@ -27,7 +27,7 @@
       "!mkdir _temp\n",
       "!curl http://farm1.static.flickr.com/220/512450093_7717fb8ce8.jpg > _temp/cat.jpg\n",
       "!echo `pwd`/_temp/cat.jpg > _temp/cat.txt\n",
-      "!python ../python/caffe/detection/detector.py --crop_mode=selective_search --pretrained_model=../models/caffe_reference_imagenet_model --model_def=../models/imagenet.prototxt _temp/cat.txt _temp/cat.h5"
+      "!python ../python/caffe/detection/detector.py --crop_mode=selective_search --pretrained_model=../examples/imagenet/caffe_reference_imagenet_model --model_def=../examples/imagenet/imagenet_deploy.prototxt _temp/cat.txt _temp/cat.h5"
      ],
      "language": "python",
      "metadata": {},
@@ -692,4 +692,4 @@
    "metadata": {}
   }
  ]
-}
\ No newline at end of file
+}
diff --git a/matlab/caffe/matcaffe_demo.m b/matlab/caffe/matcaffe_demo.m
index 459fef9c..c034172f 100644
--- a/matlab/caffe/matcaffe_demo.m
+++ b/matlab/caffe/matcaffe_demo.m
@@ -20,9 +20,9 @@ function scores = matcaffe_demo(im, use_gpu)
 %  scores = matcaffe_demo(im, 1);
 %  [score, class] = max(scores);
 
-model_def_file = '../../models/imagenet.prototxt';
+model_def_file = '../../examples/imagenet/imagenet_deploy.prototxt';
 % NOTE: you'll have to get the pre-trained ILSVRC network
-model_file = '../../models/caffe_reference_imagenet_model';
+model_file = '../../examples/imagenet/caffe_reference_imagenet_model';
 
 % init caffe network (spews logging info)
 caffe('init', model_def_file, model_file);
diff --git a/models/.gitignore b/models/.gitignore
deleted file mode 100644
index e69de29b..00000000
--- a/models/.gitignore
+++ /dev/null
diff --git a/python/caffe/detection/detector.py b/python/caffe/detection/detector.py
index dd9b527c..9355274c 100644
--- a/python/caffe/detection/detector.py
+++ b/python/caffe/detection/detector.py
@@ -371,12 +371,12 @@ if __name__ == "__main__":
   # Optional arguments.
   parser.add_argument(
     "--model_def",
-    default="../../../models/imagenet.prototxt",
+    default="../../../examples/imagenet/imagenet_deploy.prototxt",
     help="Model definition file."
   )
   parser.add_argument(
     "--pretrained_model",
-    default="../../../models/caffe_reference_imagenet_model",
+    default="../../../examples/imagenet/caffe_reference_imagenet_model",
     help="Trained model weights file."
   )
   parser.add_argument(