experiment scripts

experiments/cfgs/no_bbox_reg.yml

 EXP_DIR: "no_bbox_reg"
 TRAIN:
   BBOX_REG: False
+  SNAPSHOT_INFIX: no_bbox_reg
 TEST:
   BBOX_REG: False

experiments/cfgs/piecewise.yml

-EXP_DIR: "piecewise"
+EXP_DIR: piecewise
+TRAIN:
+  SNAPSHOT_INFIX: piecewise

experiments/scripts/no_bb_reg_caffenet.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/no_bbox_reg_caffenet.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/train_net.py --gpu $1 \
+  --solver models/CaffeNet/no_bbox_reg/solver.prototxt \
+  --weights data/imagenet_models/CaffeNet.v2.caffemodel \
+  --imdb voc_2007_trainval \
+  --cfg experiments/cfgs/no_bbox_reg.yml
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/CaffeNet/no_bbox_reg/test.prototxt \
+  --net output/no_bbox_reg/voc_2007_trainval/caffenet_fast_rcnn_no_bbox_reg_iter_40000.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/no_bbox_reg.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

experiments/scripts/no_bb_reg_test_caffenet.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/no_bbox_reg_test_caffenet.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/CaffeNet/test.prototxt \
+  --net output/default/voc_2007_trainval/caffenet_fast_rcnn_iter_40000.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/no_bbox_reg.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

experiments/scripts/no_bb_reg_vgg_cnn_m_1024.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/no_bbox_reg_vgg_cnn_m_1024.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/train_net.py --gpu $1 \
+  --solver models/VGG_CNN_M_1024/no_bbox_reg/solver.prototxt \
+  --weights data/imagenet_models/VGG_CNN_M_1024.v2.caffemodel \
+  --imdb voc_2007_trainval \
+  --cfg experiments/cfgs/no_bbox_reg.yml
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/VGG_CNN_M_1024/no_bbox_reg/test.prototxt \
+  --net output/no_bbox_reg/voc_2007_trainval/vgg_cnn_m_1024_fast_rcnn_no_bbox_reg_iter_40000.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/no_bbox_reg.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

experiments/scripts/piecewise_caffenet.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/piecewise_caffenet.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/train_net.py --gpu $1 \
+  --solver models/CaffeNet/piecewise/solver.prototxt \
+  --weights output/no_bbox_reg/voc_2007_trainval/caffenet_fast_rcnn_no_bbox_reg_iter_40000.caffemodel \
+  --imdb voc_2007_trainval \
+  --cfg experiments/cfgs/piecewise.yml
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/CaffeNet/test.prototxt \
+  --net output/piecewise/voc_2007_trainval/caffenet_fast_rcnn_piecewise_iter_40000.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/piecewise.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

experiments/scripts/svm_caffenet.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/svm_caffenet.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/extra/train_svms.py --gpu $1 \
+  --def models/CaffeNet/test.prototxt \
+  --net output/default/voc_2007_trainval/caffenet_fast_rcnn_iter_40000.caffemodel \
+  --imdb voc_2007_trainval \
+  --cfg experiments/cfgs/svm.yml
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/CaffeNet/test.prototxt \
+  --net output/default/voc_2007_trainval/caffenet_fast_rcnn_iter_40000_svm.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/svm.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

experiments/scripts/svm_vgg_cnn_m_1024.sh

+#! /bin/bash
+
+set -x
+
+export PYTHONUNBUFFERED="True"
+
+# -----------------------------------------------------------------------------
+LOG="experiments/logs/svm_vgg_cnn_m_1024.txt.`date +'%Y-%m-%d_%H-%M-%S'`"
+exec 3>&1 4>&2 &> >(tee -a "$LOG")
+echo Logging output to "$LOG"
+
+time ./tools/extra/train_svms.py --gpu $1 \
+  --def models/VGG_CNN_M_1024/test.prototxt \
+  --net output/default/voc_2007_trainval/vgg_cnn_m_1024_fast_rcnn_iter_40000.caffemodel \
+  --imdb voc_2007_trainval \
+  --cfg experiments/cfgs/svm.yml
+
+time ./tools/test_net.py --gpu $1 \
+  --def models/VGG_CNN_M_1024/test.prototxt \
+  --net output/default/voc_2007_trainval/vgg_cnn_m_1024_fast_rcnn_iter_40000_svm.caffemodel \
+  --imdb voc_2007_test \
+  --cfg experiments/cfgs/svm.yml
+
+# restore stdout/err
+exec 1>&3 2>&4
+# -----------------------------------------------------------------------------

models/CaffeNet/no_bbox_reg/test.prototxt

@@ -27,6 +27,7 @@ layer {
   convolution_param {
     num_output: 96
     kernel_size: 11
+    pad: 5
     stride: 4
   }
 }
@@ -44,6 +45,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -73,8 +75,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 2
     kernel_size: 5
+    pad: 2
     group: 2
   }
 }
@@ -92,6 +94,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -121,8 +124,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
   }
 }
 layer {
@@ -146,8 +149,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }
@@ -172,8 +175,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }

models/CaffeNet/no_bbox_reg/train.prototxt

@@ -31,6 +31,7 @@ layer {
   convolution_param {
     num_output: 96
     kernel_size: 11
+    pad: 5
     stride: 4
   }
 }
@@ -48,6 +49,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -77,8 +79,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 2
     kernel_size: 5
+    pad: 2
     group: 2
   }
 }
@@ -96,6 +98,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -125,8 +128,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
   }
 }
 layer {
@@ -150,8 +153,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }
@@ -176,8 +179,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }

models/CaffeNet/piecewise/train.prototxt

@@ -41,6 +41,7 @@ layer {
   convolution_param {
     num_output: 96
     kernel_size: 11
+    pad: 5
     stride: 4
   }
 }
@@ -58,6 +59,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -87,8 +89,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 2
     kernel_size: 5
+    pad: 2
     group: 2
   }
 }
@@ -106,6 +108,7 @@ layer {
   pooling_param {
     pool: MAX
     kernel_size: 3
+    pad: 1
     stride: 2
   }
 }
@@ -135,8 +138,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
   }
 }
 layer {
@@ -160,8 +163,8 @@ layer {
   }
   convolution_param {
     num_output: 384
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }
@@ -186,8 +189,8 @@ layer {
   }
   convolution_param {
     num_output: 256
-    pad: 1
     kernel_size: 3
+    pad: 1
     group: 2
   }
 }