From 2c469dfb8f557b9e6e575b2190195f69b69963dc Mon Sep 17 00:00:00 2001
From: howie <mahaoyu_seu@163.com>
Date: Fri, 15 Feb 2019 00:37:17 +0800
Subject: [PATCH] 2d model

---
 .idea/workspace.xml                          | 316 ++++++++++---------
 data_loader/{brats15_v2.py => brats15_2d.py} |  11 +-
 data_loader/{brats15.py => brats15_3d.py}    | 113 ++++---
 data_loader/img/img_flair_wt.jpg             | Bin 11249 -> 3640 bytes
 data_loader/img/img_t1_wt.jpg                | Bin 11084 -> 3887 bytes
 data_loader/img/img_t1c_wt.jpg               | Bin 11548 -> 4301 bytes
 data_loader/img/img_t2_wt.jpg                | Bin 11616 -> 4033 bytes
 data_loader/img/label_wt.jpg                 | Bin 2681 -> 2564 bytes
 model/backbone.py                            |   4 +-
 model/msnet.py                               |  64 +---
 model/{unet.py => unet2d.py}                 |  20 +-
 model/unet3d.py                              |  12 +-
 src/utils.py                                 |   4 +-
 src/utils.pyc                                | Bin 9011 -> 8894 bytes
 train.py                                     |   2 +-
 train_stacked.py                             |   2 +-
 16 files changed, 281 insertions(+), 267 deletions(-)
 rename data_loader/{brats15_v2.py => brats15_2d.py} (96%)
 rename data_loader/{brats15.py => brats15_3d.py} (63%)
 rename model/{unet.py => unet2d.py} (78%)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index de8332c..4ec4bfd 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -2,8 +2,19 @@
 <project version="4">
   <component name="ChangeListManager">
     <list default="true" id="69968ab5-7448-41c2-bf6d-bf1426809c17" name="Default" comment="">
-      <change beforePath="$PROJECT_DIR$/model/stacked_unet3d.py" beforeDir="false" afterPath="$PROJECT_DIR$/model/stacked_unet3d.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/brats15.py" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/brats15_2d.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/brats15_v2.py" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/brats15_3d.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/img/img_flair_wt.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/img/img_flair_wt.jpg" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/img/img_t1_wt.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/img/img_t1_wt.jpg" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/img/img_t1c_wt.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/img/img_t1c_wt.jpg" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/img/img_t2_wt.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/img/img_t2_wt.jpg" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/data_loader/img/label_wt.jpg" beforeDir="false" afterPath="$PROJECT_DIR$/data_loader/img/label_wt.jpg" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/model/backbone.py" beforeDir="false" afterPath="$PROJECT_DIR$/model/backbone.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/model/msnet.py" beforeDir="false" afterPath="$PROJECT_DIR$/model/msnet.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/model/unet.py" beforeDir="false" afterPath="$PROJECT_DIR$/model/unet2d.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/model/unet3d.py" beforeDir="false" afterPath="$PROJECT_DIR$/model/unet3d.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/src/utils.py" beforeDir="false" afterPath="$PROJECT_DIR$/src/utils.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/train.py" beforeDir="false" afterPath="$PROJECT_DIR$/train.py" afterDir="false" />
       <change beforePath="$PROJECT_DIR$/train_stacked.py" beforeDir="false" afterPath="$PROJECT_DIR$/train_stacked.py" afterDir="false" />
     </list>
@@ -16,11 +27,11 @@
   </component>
   <component name="FileEditorManager">
     <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
-      <file leaf-file-name="unet3d.py" pinned="false" current-in-tab="true">
+      <file leaf-file-name="unet3d.py" pinned="false" current-in-tab="false">
         <entry file="file://$PROJECT_DIR$/model/unet3d.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="123">
-              <caret line="69" column="58" selection-start-line="69" selection-start-column="58" selection-end-line="69" selection-end-column="58" />
+            <state relative-caret-position="317">
+              <caret line="28" lean-forward="true" selection-start-line="28" selection-end-line="28" />
               <folding>
                 <element signature="e#0#22#0" expanded="true" />
               </folding>
@@ -28,11 +39,20 @@
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="stacked_unet3d.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/model/stacked_unet3d.py">
+      <file leaf-file-name="multi_unet_ref.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/model/multi_unet_ref.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="-367">
+              <caret line="7" selection-start-line="7" selection-end-line="7" />
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="multi_unet.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/model/multi_unet.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="193">
-              <caret line="41" column="19" lean-forward="true" selection-start-line="41" selection-start-column="19" selection-end-line="41" selection-end-column="19" />
+            <state relative-caret-position="3128">
+              <caret line="193" column="15" selection-start-line="193" selection-start-column="15" selection-end-line="193" selection-end-column="15" />
               <folding>
                 <element signature="e#0#23#0" expanded="true" />
               </folding>
@@ -40,63 +60,76 @@
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="msnet.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/model/msnet.py">
+      <file leaf-file-name="backbone.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/model/backbone.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="3229">
-              <caret line="218" selection-start-line="218" selection-end-line="218" />
+            <state relative-caret-position="256">
+              <caret line="40" column="15" selection-start-line="40" selection-start-column="6" selection-end-line="40" selection-end-column="15" />
+              <folding>
+                <element signature="e#0#12#0" expanded="true" />
+              </folding>
             </state>
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="img_t2_wt.jpg" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/data_loader/img/img_t2_wt.jpg">
-          <provider selected="true" editor-type-id="images" />
+      <file leaf-file-name="stacked_unet3d.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/model/stacked_unet3d.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="668">
+              <caret line="41" column="19" selection-start-line="41" selection-start-column="19" selection-end-line="41" selection-end-column="19" />
+              <folding>
+                <element signature="e#0#23#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
         </entry>
       </file>
-      <file leaf-file-name="label_wt.jpg" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/data_loader/img/label_wt.jpg">
-          <provider selected="true" editor-type-id="images" />
+      <file leaf-file-name="brats15_2d.py" pinned="false" current-in-tab="true">
+        <entry file="file://$PROJECT_DIR$/data_loader/brats15_2d.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="416">
+              <caret line="60" column="33" selection-start-line="60" selection-start-column="24" selection-end-line="60" selection-end-column="33" />
+            </state>
+          </provider>
         </entry>
       </file>
-      <file leaf-file-name="train.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/train.py">
+      <file leaf-file-name="unet2d.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/model/unet2d.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="117">
-              <caret line="34" column="45" selection-start-line="34" selection-start-column="45" selection-end-line="34" selection-end-column="45" />
+            <state relative-caret-position="-1112">
+              <caret line="3" lean-forward="true" selection-start-line="3" selection-end-line="3" />
               <folding>
-                <element signature="e#0#31#0" expanded="true" />
+                <element signature="e#0#11#0" expanded="true" />
               </folding>
             </state>
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="train_stacked.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/train_stacked.py">
+      <file leaf-file-name="brats15_3d.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/data_loader/brats15_3d.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="200">
-              <caret line="109" selection-start-line="109" selection-end-line="109" />
+            <state relative-caret-position="239">
+              <caret line="36" column="28" lean-forward="true" selection-end-line="228" />
             </state>
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="brats15_v2.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/data_loader/brats15_v2.py">
+      <file leaf-file-name="train.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/train.py">
           <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="3254">
-              <caret line="198" column="39" lean-forward="true" selection-start-line="198" selection-start-column="32" selection-end-line="198" selection-end-column="39" />
+            <state relative-caret-position="57">
+              <caret line="3" column="27" selection-start-line="3" selection-start-column="27" selection-end-line="3" selection-end-column="27" />
             </state>
           </provider>
         </entry>
       </file>
-      <file leaf-file-name="img_t1c_wt.jpg" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/data_loader/img/img_t1c_wt.jpg">
-          <provider selected="true" editor-type-id="images" />
-        </entry>
-      </file>
-      <file leaf-file-name="__init__.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/data_loader/__init__.py">
-          <provider selected="true" editor-type-id="text-editor" />
+      <file leaf-file-name="train_stacked.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/train_stacked.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="38">
+              <caret line="2" column="27" selection-start-line="2" selection-start-column="27" selection-end-line="2" selection-end-column="27" />
+            </state>
+          </provider>
         </entry>
       </file>
     </leaf>
@@ -110,7 +143,6 @@
   </component>
   <component name="FindInProjectRecents">
     <findStrings>
-      <find>epochs</find>
       <find>2013_pat0001_1</find>
       <find>2013_pat0001</find>
       <find>get_ND_bounding_box</find>
@@ -140,6 +172,7 @@
       <find>conv_decod_block3D</find>
       <find>conv_block3D</find>
       <find>Multi_Unet</find>
+      <find>self.is_train</find>
     </findStrings>
   </component>
   <component name="Git.Settings">
@@ -152,30 +185,32 @@
         <option value="$PROJECT_DIR$/config/brats15.conf" />
         <option value="$PROJECT_DIR$/config/__init__.py" />
         <option value="$PROJECT_DIR$/ckpt/__init__.py" />
-        <option value="$PROJECT_DIR$/model/msnet.py" />
         <option value="$PROJECT_DIR$/model/Multi-Unet.py" />
         <option value="$PROJECT_DIR$/config/test15.conf" />
         <option value="$PROJECT_DIR$/config/train15.conf" />
         <option value="$PROJECT_DIR$/config/sample15.conf" />
         <option value="$PROJECT_DIR$/README.md" />
         <option value="$PROJECT_DIR$/run.sh" />
-        <option value="$PROJECT_DIR$/model/unet.py" />
         <option value="$PROJECT_DIR$/test.py" />
         <option value="$PROJECT_DIR$/data_loader/brats15.py" />
-        <option value="$PROJECT_DIR$/src/utils.py" />
-        <option value="$PROJECT_DIR$/model/backbone.py" />
         <option value="$PROJECT_DIR$/model/stackedunet.py" />
         <option value="$PROJECT_DIR$/model/stacked_unet.py" />
         <option value="$PROJECT_DIR$/model/multi_unet.py" />
-        <option value="$PROJECT_DIR$/data_loader/brats15_v2.py" />
-        <option value="$PROJECT_DIR$/train_stacked.py" />
-        <option value="$PROJECT_DIR$/train.py" />
         <option value="$PROJECT_DIR$/model/stacked_unet3d.py" />
+        <option value="$PROJECT_DIR$/model/msnet.py" />
+        <option value="$PROJECT_DIR$/data_loader/brats15_v2.py" />
+        <option value="$PROJECT_DIR$/model/unet.py" />
+        <option value="$PROJECT_DIR$/src/utils.py" />
+        <option value="$PROJECT_DIR$/model/unet2d.py" />
+        <option value="$PROJECT_DIR$/model/backbone.py" />
         <option value="$PROJECT_DIR$/model/unet3d.py" />
+        <option value="$PROJECT_DIR$/train.py" />
+        <option value="$PROJECT_DIR$/train_stacked.py" />
+        <option value="$PROJECT_DIR$/data_loader/brats15_2d.py" />
       </list>
     </option>
   </component>
-  <component name="ProjectFrameBounds" extendedState="6" fullScreen="true">
+  <component name="ProjectFrameBounds" fullScreen="true">
     <option name="width" value="1280" />
     <option name="height" value="800" />
   </component>
@@ -184,6 +219,7 @@
       <foldersAlwaysOnTop value="true" />
     </navigator>
     <panes>
+      <pane id="Scope" />
       <pane id="ProjectPane">
         <subPane>
           <expand>
@@ -196,12 +232,6 @@
               <item name="BrainTumorSegmentation" type="462c0819:PsiDirectoryNode" />
               <item name="data_loader" type="462c0819:PsiDirectoryNode" />
             </path>
-            <path>
-              <item name="BrainTumorSegmentation" type="b2602c69:ProjectViewProjectNode" />
-              <item name="BrainTumorSegmentation" type="462c0819:PsiDirectoryNode" />
-              <item name="data_loader" type="462c0819:PsiDirectoryNode" />
-              <item name="img" type="462c0819:PsiDirectoryNode" />
-            </path>
             <path>
               <item name="BrainTumorSegmentation" type="b2602c69:ProjectViewProjectNode" />
               <item name="BrainTumorSegmentation" type="462c0819:PsiDirectoryNode" />
@@ -220,7 +250,6 @@
           <select />
         </subPane>
       </pane>
-      <pane id="Scope" />
     </panes>
   </component>
   <component name="PropertiesComponent">
@@ -246,8 +275,8 @@
       </list>
     </option>
   </component>
-  <component name="RunManager" selected="Python.stacked_unet3d">
-    <configuration name="Multi-Unet" type="PythonConfigurationType" factoryName="Python" temporary="true">
+  <component name="RunManager" selected="Python.brats15_v2">
+    <configuration name="brats15_v2" type="PythonConfigurationType" factoryName="Python" temporary="true">
       <module name="BrainTumorSegmentation" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -255,17 +284,17 @@
         <env name="PYTHONUNBUFFERED" value="1" />
       </envs>
       <option name="SDK_HOME" value="" />
-      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/model" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/data_loader" />
       <option name="IS_MODULE_SDK" value="true" />
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/model/multi_unet.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/data_loader/brats15_3d.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
       <option name="MODULE_MODE" value="false" />
     </configuration>
-    <configuration name="brats15" type="PythonConfigurationType" factoryName="Python" temporary="true">
+    <configuration name="msnet" type="PythonConfigurationType" factoryName="Python" temporary="true">
       <module name="BrainTumorSegmentation" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -273,17 +302,17 @@
         <env name="PYTHONUNBUFFERED" value="1" />
       </envs>
       <option name="SDK_HOME" value="" />
-      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/data_loader" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/model" />
       <option name="IS_MODULE_SDK" value="true" />
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/data_loader/brats15.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/model/msnet.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
       <option name="MODULE_MODE" value="false" />
     </configuration>
-    <configuration name="brats15_v2" type="PythonConfigurationType" factoryName="Python" temporary="true">
+    <configuration name="stacked_unet3d" type="PythonConfigurationType" factoryName="Python" temporary="true">
       <module name="BrainTumorSegmentation" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -291,17 +320,17 @@
         <env name="PYTHONUNBUFFERED" value="1" />
       </envs>
       <option name="SDK_HOME" value="" />
-      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/data_loader" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/model" />
       <option name="IS_MODULE_SDK" value="true" />
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/data_loader/brats15_v2.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/model/stacked_unet3d.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
       <option name="MODULE_MODE" value="false" />
     </configuration>
-    <configuration name="stacked_unet3d" type="PythonConfigurationType" factoryName="Python" temporary="true">
+    <configuration name="unet" type="PythonConfigurationType" factoryName="Python" temporary="true">
       <module name="BrainTumorSegmentation" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -313,7 +342,7 @@
       <option name="IS_MODULE_SDK" value="true" />
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/model/stacked_unet3d.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/model/unet2d.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -338,19 +367,19 @@
       <option name="MODULE_MODE" value="false" />
     </configuration>
     <list>
-      <item itemvalue="Python.brats15" />
-      <item itemvalue="Python.Multi-Unet" />
       <item itemvalue="Python.unet3d" />
       <item itemvalue="Python.brats15_v2" />
       <item itemvalue="Python.stacked_unet3d" />
+      <item itemvalue="Python.msnet" />
+      <item itemvalue="Python.unet" />
     </list>
     <recent_temporary>
       <list>
+        <item itemvalue="Python.brats15_v2" />
+        <item itemvalue="Python.unet" />
+        <item itemvalue="Python.msnet" />
         <item itemvalue="Python.stacked_unet3d" />
         <item itemvalue="Python.unet3d" />
-        <item itemvalue="Python.brats15_v2" />
-        <item itemvalue="Python.Multi-Unet" />
-        <item itemvalue="Python.brats15" />
       </list>
     </recent_temporary>
   </component>
@@ -368,13 +397,13 @@
     <servers />
   </component>
   <component name="ToolWindowManager">
-    <frame x="0" y="0" width="1280" height="800" extended-state="6" />
+    <frame x="0" y="0" width="1280" height="800" extended-state="0" />
     <editor active="true" />
     <layout>
       <window_info active="true" content_ui="combo" id="Project" order="0" visible="true" weight="0.21445592" />
       <window_info anchor="bottom" id="TODO" order="6" />
       <window_info anchor="bottom" id="Event Log" order="7" side_tool="true" />
-      <window_info anchor="bottom" id="Run" order="2" visible="true" weight="0.35612535" />
+      <window_info anchor="bottom" id="Run" order="2" weight="0.35612535" />
       <window_info anchor="bottom" id="Version Control" order="7" />
       <window_info anchor="bottom" id="Python Console" order="7" />
       <window_info id="Structure" order="1" side_tool="true" weight="0.25" />
@@ -447,7 +476,7 @@
     <entry file="file://$PROJECT_DIR$/data_loader/img/img_flair_wt.jpg">
       <provider selected="true" editor-type-id="images" />
     </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/brats15.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/brats15_2d.py">
       <provider selected="true" editor-type-id="text-editor">
         <state relative-caret-position="2964">
           <caret line="163" column="4" selection-start-line="163" selection-start-column="4" selection-end-line="163" selection-end-column="4" />
@@ -482,7 +511,7 @@
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       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/brats15.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/brats15_2d.py">
       <provider selected="true" editor-type-id="text-editor">
         <state relative-caret-position="2052">
           <caret line="116" lean-forward="true" selection-start-line="116" selection-end-line="116" />
@@ -547,9 +576,6 @@
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           <caret line="47" column="16" selection-start-line="47" selection-start-column="12" selection-end-line="47" selection-end-column="16" />
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-            <element signature="e#0#31#0" expanded="true" />
-          </folding>
         </state>
       </provider>
     </entry>
@@ -567,130 +593,126 @@
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/unet.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/__init__.py">
+      <provider selected="true" editor-type-id="text-editor" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/model/msnet.py">
       <provider selected="true" editor-type-id="text-editor">
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-          <caret line="73" column="20" selection-start-line="73" selection-start-column="20" selection-end-line="73" selection-end-column="20" />
+        <state relative-caret-position="3268">
+          <caret line="176" column="51" selection-start-line="176" selection-start-column="51" selection-end-line="176" selection-end-column="51" />
+          <folding>
+            <element signature="e#40#52#0" expanded="true" />
+          </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/multi_unet.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t1_wt.jpg">
+      <provider selected="true" editor-type-id="images" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/src/utils.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="145">
-          <caret line="235" column="5" lean-forward="true" selection-start-line="235" selection-start-column="5" selection-end-line="235" selection-end-column="5" />
+        <state relative-caret-position="3116">
+          <caret line="167" column="4" selection-start-line="167" selection-start-column="4" selection-end-line="167" selection-end-column="4" />
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-            <element signature="e#0#23#0" expanded="true" />
-            <element signature="e#148#962#0" />
-            <element signature="e#9333#14761#0" />
+            <element signature="e#16#40#0" expanded="true" />
           </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/multi_unet_ref.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/img/img_flair_wt.jpg">
+      <provider selected="true" editor-type-id="images" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t2_wt.jpg">
+      <provider selected="true" editor-type-id="images" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t1c_wt.jpg">
+      <provider selected="true" editor-type-id="images" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/data_loader/img/label_wt.jpg">
+      <provider selected="true" editor-type-id="images" />
+    </entry>
+    <entry file="file://$PROJECT_DIR$/model/backbone.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="-6233">
-          <caret line="7" selection-start-line="7" selection-end-line="7" />
+        <state relative-caret-position="256">
+          <caret line="40" column="15" selection-start-line="40" selection-start-column="6" selection-end-line="40" selection-end-column="15" />
           <folding>
             <element signature="e#0#12#0" expanded="true" />
           </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/backbone.py">
+    <entry file="file://$PROJECT_DIR$/model/stacked_unet3d.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="234">
-          <caret line="52" lean-forward="true" selection-start-line="52" selection-end-line="52" />
+        <state relative-caret-position="668">
+          <caret line="41" column="19" selection-start-line="41" selection-start-column="19" selection-end-line="41" selection-end-column="19" />
           <folding>
-            <element signature="e#0#12#0" expanded="true" />
-            <element signature="e#71#630#0" />
-            <element signature="e#667#1045#0" />
+            <element signature="e#0#23#0" expanded="true" />
           </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/src/utils.py">
+    <entry file="file://$PROJECT_DIR$/model/unet3d.py">
       <provider selected="true" editor-type-id="text-editor">
         <state relative-caret-position="317">
-          <caret line="257" column="42" selection-start-line="257" selection-start-column="4" selection-end-line="257" selection-end-column="42" />
+          <caret line="28" lean-forward="true" selection-start-line="28" selection-end-line="28" />
           <folding>
-            <element signature="e#16#40#0" expanded="true" />
+            <element signature="e#0#22#0" expanded="true" />
           </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/img/img_flair_wt.jpg">
-      <provider selected="true" editor-type-id="images" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/brats15.py">
+    <entry file="file://$PROJECT_DIR$/model/multi_unet_ref.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="239">
-          <caret line="41" lean-forward="true" selection-start-line="41" selection-end-line="41" />
+        <state relative-caret-position="-367">
+          <caret line="7" selection-start-line="7" selection-end-line="7" />
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t1_wt.jpg">
-      <provider selected="true" editor-type-id="images" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/__init__.py">
-      <provider selected="true" editor-type-id="text-editor" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/img/label_wt.jpg">
-      <provider selected="true" editor-type-id="images" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t2_wt.jpg">
-      <provider selected="true" editor-type-id="images" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/img/img_t1c_wt.jpg">
-      <provider selected="true" editor-type-id="images" />
-    </entry>
-    <entry file="file://$PROJECT_DIR$/data_loader/brats15_v2.py">
+    <entry file="file://$PROJECT_DIR$/model/multi_unet.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="3254">
-          <caret line="198" column="39" lean-forward="true" selection-start-line="198" selection-start-column="32" selection-end-line="198" selection-end-column="39" />
+        <state relative-caret-position="3128">
+          <caret line="193" column="15" selection-start-line="193" selection-start-column="15" selection-end-line="193" selection-end-column="15" />
+          <folding>
+            <element signature="e#0#23#0" expanded="true" />
+          </folding>
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/msnet.py">
+    <entry file="file://$PROJECT_DIR$/model/unet2d.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="3229">
-          <caret line="218" selection-start-line="218" selection-end-line="218" />
+        <state relative-caret-position="-1112">
+          <caret line="3" lean-forward="true" selection-start-line="3" selection-end-line="3" />
+          <folding>
+            <element signature="e#0#11#0" expanded="true" />
+          </folding>
         </state>
       </provider>
     </entry>
     <entry file="file://$PROJECT_DIR$/train.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="117">
-          <caret line="34" column="45" selection-start-line="34" selection-start-column="45" selection-end-line="34" selection-end-column="45" />
-          <folding>
-            <element signature="e#0#31#0" expanded="true" />
-          </folding>
+        <state relative-caret-position="57">
+          <caret line="3" column="27" selection-start-line="3" selection-start-column="27" selection-end-line="3" selection-end-column="27" />
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/stacked_unet3d.py">
+    <entry file="file://$PROJECT_DIR$/train_stacked.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="193">
-          <caret line="41" column="19" lean-forward="true" selection-start-line="41" selection-start-column="19" selection-end-line="41" selection-end-column="19" />
-          <folding>
-            <element signature="e#0#23#0" expanded="true" />
-          </folding>
+        <state relative-caret-position="38">
+          <caret line="2" column="27" selection-start-line="2" selection-start-column="27" selection-end-line="2" selection-end-column="27" />
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/train_stacked.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/brats15_3d.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="200">
-          <caret line="109" selection-start-line="109" selection-end-line="109" />
+        <state relative-caret-position="239">
+          <caret line="36" column="28" lean-forward="true" selection-end-line="228" />
         </state>
       </provider>
     </entry>
-    <entry file="file://$PROJECT_DIR$/model/unet3d.py">
+    <entry file="file://$PROJECT_DIR$/data_loader/brats15_2d.py">
       <provider selected="true" editor-type-id="text-editor">
-        <state relative-caret-position="123">
-          <caret line="69" column="58" selection-start-line="69" selection-start-column="58" selection-end-line="69" selection-end-column="58" />
-          <folding>
-            <element signature="e#0#22#0" expanded="true" />
-          </folding>
+        <state relative-caret-position="416">
+          <caret line="60" column="33" selection-start-line="60" selection-start-column="24" selection-end-line="60" selection-end-column="33" />
         </state>
       </provider>
     </entry>
diff --git a/data_loader/brats15_v2.py b/data_loader/brats15_2d.py
similarity index 96%
rename from data_loader/brats15_v2.py
rename to data_loader/brats15_2d.py
index 8171b77..642e07b 100644
--- a/data_loader/brats15_v2.py
+++ b/data_loader/brats15_2d.py
@@ -27,7 +27,6 @@
 from src.utils import *
 
 ddd = ['flair', 't1', 't1c', 't2']
-np.random.rand(20180128)
 
 
 class Brats15DataLoader(Dataset):
@@ -173,11 +172,13 @@ def get_slices(self, img, label):
 
 # test case
 if __name__ =="__main__":
-    slice = 10
+    slice = 5
+    vol_num = 4
     data_dir = '../data_sample/'
     conf = '../config/sample15.conf'
     print ('**** whole tumor task *************')
-    brats15 = Brats15DataLoader(data_dir=data_dir, task_type='wt', conf=conf, is_train=True)
+    brats15 = Brats15DataLoader(data_dir=data_dir, task_type='wt',
+                                conf=conf, is_train=False)
     volume, labels, subjct = brats15[0]
 
     print 'volume size ...'
@@ -193,7 +194,7 @@ def get_slices(self, img, label):
 
     print ('get sample of images')
     for i in range(4):
-        sample_img = volume[0][i, slice, :, :]         # 192 * 192
+        sample_img = volume[vol_num][i, slice, :, :]         # 192 * 192
         sample_img = norm(sample_img)
         out = np.zeros((192, 200))
         out[:, :96] = sample_img[:,:96]
@@ -201,7 +202,7 @@ def get_slices(self, img, label):
         scipy.misc.imsave('img/img_%s_wt.jpg' % ddd[i], out)
 
     print ('get sample of labels')
-    sample_label = labels[0][0, slice, :, :]           # 192 * 192
+    sample_label = labels[vol_num][0, slice, :, :]           # 192 * 192
     print sample_label.shape
     label = np.ones((192, 200))
     label[:, :96] = sample_label[:,:96]
diff --git a/data_loader/brats15.py b/data_loader/brats15_3d.py
similarity index 63%
rename from data_loader/brats15.py
rename to data_loader/brats15_3d.py
index 14403c7..642e07b 100644
--- a/data_loader/brats15.py
+++ b/data_loader/brats15_3d.py
@@ -29,16 +29,15 @@
 ddd = ['flair', 't1', 't1c', 't2']
 
 
-
 class Brats15DataLoader(Dataset):
-    def __init__(self, data_dir, direction='axial', task_type='wt',
-                 conf='../config/train15.conf', with_gt=True):
+    def __init__(self, data_dir, is_train, direction='axial', task_type='wt',
+                 conf='../config/train15.conf'):
         self.data_dir = data_dir  #
         self.img_lists = []
-
-        self.data_box = [16, 128, 128]      #
-        self.margin = 5
-        self.with_gt = with_gt
+        self.volume_size = 16
+        self.data_box = [144, 192, 192]      # max 145
+        self.margin = 0
+        self.is_train = is_train        # True or False
 
         self.task_type = task_type    # whole tumor, tumor core,
         self.direction = direction    # 'axial', 'sagittal', or 'coronal'
@@ -47,16 +46,16 @@ def __init__(self, data_dir, direction='axial', task_type='wt',
         for data in train_config:
             self.img_lists.append(os.path.join(self.data_dir, data.strip('\n')))
 
-        print ('**** Loading data from disk ....')
+        print('~' * 50)
+        print ('******** Loading data from disk ********')
         self.data = {}
         for subject in self.img_lists:
             if subject not in self.data:
                 self.data[subject] = self.get_subject(subject)
 
-        np.random.rand(20180128)
-
-        print ('**** Finish loading data ...')
-        print ('**** total number of data is ' + str(len(self.data)))
+        print ('********  Finish loading data  ********')
+        print ('********  Total number of subject is ' + str(len(self.data)))
+        print('~' * 50)
 
     def __len__(self):
         return len(self.img_lists)
@@ -66,31 +65,29 @@ def __getitem__(self, item):
         subject = self.img_lists[item]      # get absolute dir
         volume, label = self.data[subject]  # get whole data for one subject
 
-        # ********** get slice from whole images **********
-        volume, label = self.get_rand_slices(volume, label)
-
         # ********** change data type from numpy to torch.Tensor **********
-        volume = torch.from_numpy(volume)  # modal(4) * volume_size(16) * height * weight
-        label = torch.from_numpy(label)  # modal(4) * volume_size(16) * height * weight
+        volume = torch.from_numpy(volume).float()  # Float Tensor 4 * 144 * 192 * 192
+        label = torch.from_numpy(label).float()    # Float Tensor 4 * 144 * 192 * 192
 
-        return volume.float(), label.float(), subject
+        # ********** get slice from whole images **********
+        images_vol, labels_vol = self.get_slices(volume, label)
+        return images_vol, labels_vol, subject
 
     def get_subject(self, subject):
         """
         get
         :param subject: absolute dir
         :return:
-        volume  4D numpy
-        label   4D numpy
+        volume  4D numpy    4 * 144 * 192 * 192
+        label   4D numpy    4 * 144 * 192 * 192
         """
+        # **************** get file ****************
         files = os.listdir(subject)  # [XXX.Flair, XXX.T1, XXX.T1c, XXX.T2, XXX.OT]
-
         multi_mode_dir = []
         label_dir = ""
         for f in files:
             if f == '.DS_Store':
                 continue
-
             # if is data
             if 'Flair' in f or 'T1' in f or 'T2' in f:
                 multi_mode_dir.append(f)
@@ -113,12 +110,12 @@ def get_subject(self, subject):
         label = load_mha_as_array(label_dir)  #
 
         # *********** image pre-processing *************
-        # step1 ********* crop none-zero images and labels *********
+        # step1 ****** resize images and labels to 160 * 192 * 192 *******
         for i in range(len(multi_mode_imgs)):
             multi_mode_imgs[i] = crop_with_box(multi_mode_imgs[i], bbmin, bbmax, self.data_box)
             multi_mode_imgs[i] = normalize_one_volume(multi_mode_imgs[i])
-
         label = crop_with_box(label, bbmin, bbmax, self.data_box)
+
         # step2 ********* transfer images to different direction *********
         multi_mode_imgs = transpose_volumes(multi_mode_imgs, self.direction)
         label = transpose_volumes([label], self.direction)[0]
@@ -128,7 +125,7 @@ def get_subject(self, subject):
             label = get_whole_tumor_labels(label)
             # for whole tumor task, bouding box is self
             bbmin = [0, 0, 0]
-            bbmax = [label.shape[0] - 1, label.shape[1] - 1, label.shape[2] - 1]
+            bbmax = [label.shape[0], label.shape[1], label.shape[2]]
 
         elif self.task_type == 'tc':
             # for tumor core task, bounding box is the whole tumor box
@@ -146,53 +143,71 @@ def get_subject(self, subject):
 
         return volume, label
 
-    def get_rand_slices(self, img, label):
+    def get_slices(self, img, label):
         """
-        get volume randomly
-        :param img:
-        :param label:
+        For training, get volume randomly; For testing, get volume step by step
+        :param img:     4D Float Tensor 4 * 144 * 192 * 192
+        :param label:   4D Float Tensor 4 * 144 * 192 * 192
         :return:
+        img       Float Tensor List [4 * 16 * 192 * 192] * 9
+        label     Float Tensor List [4 * 16 * 192 * 192] * 9
         """
-        d, w, h = self.data_box  # default is [16, 128, 128]
-        start = np.random.randint(0, img.shape[1] - d + 1)
-        width_start = np.random.randint(0, img.shape[2] - w + 1)
-        height_start = np.random.randint(0, img.shape[3] - h + 1)
+        times = img.shape[1] / self.volume_size  # 144 / 16 = 9
+
+        images_vol = []
+        labels_vol = []
+        for t in range(times):
+            if self.is_train is True:
+                start = np.random.randint(0, img.shape[1] - self.volume_size + 1)
+            else:
+                start = t * self.volume_size  # 0 ,16, 32, 48, ...
 
-        img = img[:, start: start + d,
-                    width_start:width_start + w,
-                    height_start:height_start + h]
-        label = label[:, start: start + d,
-                        width_start:width_start + w,
-                        height_start:height_start + h]
-        return img, label
+            im = img[:, start: start + self.volume_size, :, :]
+            lbl = label[:, start: start + self.volume_size, :, :]
+            images_vol.append(im)
+            labels_vol.append(lbl)
+
+        return images_vol, labels_vol
 
 
 # test case
 if __name__ =="__main__":
-    slice = 10
+    slice = 5
+    vol_num = 4
     data_dir = '../data_sample/'
     conf = '../config/sample15.conf'
     print ('**** whole tumor task *************')
-    brats15 = Brats15DataLoader(data_dir=data_dir, task_type='wt', conf=conf)
+    brats15 = Brats15DataLoader(data_dir=data_dir, task_type='wt',
+                                conf=conf, is_train=False)
     volume, labels, subjct = brats15[0]
+
+    print 'volume size ...'
+    print len(volume)
+
     print ('image size ......')
-    print (volume.shape)             # (4, 16, 128, 128)
+    print (volume[0].shape)             # (4, 16, 192, 192)
 
     print ('label size ......')
-    print (labels.shape)             # (1, 16, 128, 128)
+    print (labels[0].shape)             # (1, 16, 192, 192)
 
     print subjct
 
     print ('get sample of images')
     for i in range(4):
-        sample_img = volume[i, slice, :, :]         # 128 * 128
-        print sample_img.shape                      # 128 * 128
-        scipy.misc.imsave('img/img_%s_wt.jpg' % ddd[i], sample_img)
+        sample_img = volume[vol_num][i, slice, :, :]         # 192 * 192
+        sample_img = norm(sample_img)
+        out = np.zeros((192, 200))
+        out[:, :96] = sample_img[:,:96]
+        out[:, 100:196] = sample_img[:, 96:]
+        scipy.misc.imsave('img/img_%s_wt.jpg' % ddd[i], out)
 
     print ('get sample of labels')
-    sample_label = labels[0, slice, :, :]           # 128 * 128
+    sample_label = labels[vol_num][0, slice, :, :]           # 192 * 192
     print sample_label.shape
-    scipy.misc.imsave('img/label_wt.jpg', sample_label)
+    label = np.ones((192, 200))
+    label[:, :96] = sample_label[:,:96]
+    label[:, 100:196] = sample_label[:, 96:]
+    scipy.misc.imsave('img/label_wt.jpg', label)
 
 
 
diff --git a/data_loader/img/img_flair_wt.jpg b/data_loader/img/img_flair_wt.jpg
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diff --git a/model/backbone.py b/model/backbone.py
index a5991f6..fa613be 100644
--- a/model/backbone.py
+++ b/model/backbone.py
@@ -38,9 +38,9 @@ def forward(self, x):
         return x
 
 
-class UpBlock(nn.Module):
+class UpBlock3d(nn.Module):
     def __init__(self, in_ch, out_ch):
-        super(UpBlock, self).__init__()
+        super(UpBlock3d, self).__init__()
         self.up_conv = ConvTrans3d(in_ch, out_ch)
         self.conv = ConvBlock3d(2 * out_ch, out_ch)
 
diff --git a/model/msnet.py b/model/msnet.py
index e54bcbf..9a92520 100644
--- a/model/msnet.py
+++ b/model/msnet.py
@@ -3,6 +3,7 @@
 import torch.nn as nn
 import torch.nn.functional as F
 
+from src.utils import *
 
 class conv(nn.Module):
     def __init__(self,in_ch,out_ch):
@@ -20,9 +21,6 @@ def forward(self, x):
 
 
 class ResBlock(nn.Module):
-    """
-
-    """
     def __init__(self,in_ch, out_ch, d=1):
         """
 
@@ -170,60 +168,36 @@ def __init__(self, n_channels, out_ch, n_classes):
         self.out = up(7*n_classes, n_classes, 1)
 
     def forward(self, x):
-        x = self.conv(x)
-        x = self.block0(x)
-        x0, x = self.block1(x)
-        x0 = self.up0(x0)
-        x = self.block2(x)
-
-        x1 =self.up1(x)
-        x = self.block3(x)
-        x = self.up2(x)
-        x = torch.cat([x0, x1, x], dim=1)
-        x = self.out(x)
-        return F.sigmoid(x)
-
-
-class ENET(nn.Module):
-    def __init__(self, n_channels, out_ch, n_classes):
-        super(ENET, self).__init__()
-
-        self.conv = conv(n_channels, out_ch)
-        self.block0 = ResBlock2(out_ch, out_ch, 1)  #
-        self.block1 = ResBlock2(out_ch, out_ch, 1)
-        self.block2 = ResBlock3(out_ch, out_ch, 1)
-        self.block3 = ResBlock3(out_ch, out_ch, 0)
-
-        self.up0 = up(out_ch, n_classes, 1)
-        self.up1 = up(out_ch, n_classes * 2, 2)
-        self.up2 = up(out_ch, n_classes * 2, 2)
+        """
 
-        self.out = up(5 * n_classes, n_classes, 1)
+        :param x: 5D Tensor BatchSize * 4(modal) * 16 * W * H
+        :return:
+        """
+        x = self.conv(x)    # BatchSize * 32 * 16 * W * H
+        x = self.block0(x)  # BatchSize * 32 * 16/2 * W/2 * H/2
+        print x.shape
 
-    def forward(self, x):
-        x = self.conv(x)
-        x,_ = self.block0(x)
         x0, x = self.block1(x)
+
         x0 = self.up0(x0)
         x = self.block2(x)
-        x1 = self.up1(x)
 
+        x1 =self.up1(x)
         x = self.block3(x)
         x = self.up2(x)
-
         x = torch.cat([x0, x1, x], dim=1)
-
         x = self.out(x)
-        return F.sigmoid(x)
+        return x
 
 
 if __name__ =='__main__':
-    x = torch.ones(1, 4, 24, 24, 24)
+    x = torch.ones(1, 4, 16, 192, 192)
     print ('test wnet............')
     print ('shape of X ')
     print x.shape
 
-    net = WNET(1, 32, 4)
+    net = WNET(4, 32, 2)
+    print"total parameter:" + str(netSize(net))  # 241784
     if torch.cuda.is_available():
         net = net.cuda()
         x = x.cuda()
@@ -232,17 +206,7 @@ def forward(self, x):
     print ('shape of Y ')
     print (y.shape)
 
-    print ('test Enet.............')
-    print ('shape of X ')
-    print x.shape
-    net = ENET(1, 32, 4)
-    if torch.cuda.is_available():
-        net = net.cuda()
-        x = x.cuda()
 
-    y = net(x)
-    print ('shape of Y ')
-    print (y.shape)
 
 
 
diff --git a/model/unet.py b/model/unet2d.py
similarity index 78%
rename from model/unet.py
rename to model/unet2d.py
index 57dcdbc..69680b0 100644
--- a/model/unet.py
+++ b/model/unet2d.py
@@ -1,12 +1,15 @@
+import math
 import torch
 import torch.nn as nn
 
 
 class UNet(nn.Module):
-    def __init__(self, in_ch, out_ch):
+    def __init__(self, in_ch, out_ch, degree=64):
         super(UNet, self).__init__()
 
-        chs = [64, 128, 256, 512, 1024]
+        chs = []
+        for i in range(5):
+            chs.append((2 ** i) * degree)
 
         self.down1 = nn.Sequential(Conv3x3(in_ch, chs[0]))
         self.down2 = nn.Sequential(nn.MaxPool2d(kernel_size=2), Conv3x3(chs[0], chs[1]))
@@ -21,6 +24,15 @@ def __init__(self, in_ch, out_ch):
 
         self.out = Conv3x3(chs[0], out_ch)
 
+        # Params initialization
+        for m in self.modules():
+            if isinstance(m, nn.Conv2d):
+                n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
+                m.weight.data.normal_(0, math.sqrt(2. / n))
+            elif isinstance(m, nn.BatchNorm2d):
+                m.weight.data.fill_(1)
+                m.bias.data.zero_()
+
     def forward(self, x):
         x1 = self.down1(x)
         x2 = self.down2(x1)
@@ -71,8 +83,8 @@ def forward(self, inputs, down_features):
 
 
 if __name__ == "__main__":
-    net = UNet(1, 3)
-    a = torch.randn(4, 1, 64, 64)
+    net = UNet(4, 2)
+    a = torch.randn(4, 4, 64, 64)
     b = net(a)
     print b.shape
 
diff --git a/model/unet3d.py b/model/unet3d.py
index 627a790..9b231d6 100644
--- a/model/unet3d.py
+++ b/model/unet3d.py
@@ -27,19 +27,19 @@ def __init__(self, in_ch=4, out_ch=2, degree=16):
         self.bottomLayer = nn.Sequential(nn.MaxPool3d(kernel_size=2, stride=2, padding=0),
                                    ConvBlock3d(chs[3], chs[4]))
 
-        self.upLayer1 = UpBlock(chs[4], chs[3])
-        self.upLayer2 = UpBlock(chs[3], chs[2])
-        self.upLayer3 = UpBlock(chs[2], chs[1])
-        self.upLayer4 = UpBlock(chs[1], chs[0])
+        self.upLayer1 = UpBlock3d(chs[4], chs[3])
+        self.upLayer2 = UpBlock3d(chs[3], chs[2])
+        self.upLayer3 = UpBlock3d(chs[2], chs[1])
+        self.upLayer4 = UpBlock3d(chs[1], chs[0])
 
         self.outLayer = nn.Conv3d(chs[0], out_ch, kernel_size=3, stride=1, padding=1)
 
         # Params initialization
         for m in self.modules():
-            if isinstance(m, nn.Conv2d):
+            if isinstance(m, nn.Conv3d):
                 n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
                 m.weight.data.normal_(0, math.sqrt(2. / n))
-            elif isinstance(m, nn.BatchNorm2d):
+            elif isinstance(m, nn.BatchNorm3d):
                 m.weight.data.fill_(1)
                 m.bias.data.zero_()
 
diff --git a/src/utils.py b/src/utils.py
index 56621bd..f99eb4f 100644
--- a/src/utils.py
+++ b/src/utils.py
@@ -164,8 +164,8 @@ def normalize_one_volume(volume):
     std = pixels.std()
     out = (volume - mean) / std
 
-    out_random = np.random.normal(0, 1, size=volume.shape)
-    out[volume == 0] = out_random[volume == 0]
+    # out_random = np.random.normal(0, 1, size=volume.shape)
+    # out[volume == 0] = out_random[volume == 0]
     return out
 
 
diff --git a/src/utils.pyc b/src/utils.pyc
index 785466e609d78710f3ceedd653be4918a20d7fdb..331888c81e791707acd3020e27fdc276bcb1aed0 100644
GIT binary patch
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diff --git a/train.py b/train.py
index 8d1a7ca..f50745c 100644
--- a/train.py
+++ b/train.py
@@ -1,7 +1,7 @@
 from model.unet3d import UNet3D
 from model.multi_unet import Multi_Unet
 from src.utils import *
-from data_loader.brats15_v2 import Brats15DataLoader
+from data_loader.brats15_3d import Brats15DataLoader
 
 
 from torch.utils.data import DataLoader
diff --git a/train_stacked.py b/train_stacked.py
index f1ec103..9bfa896 100644
--- a/train_stacked.py
+++ b/train_stacked.py
@@ -1,6 +1,6 @@
 from model.stacked_unet3d import StackedUnet3D
 from src.utils import *
-from data_loader.brats15_v2 import Brats15DataLoader
+from data_loader.brats15_3d import Brats15DataLoader
 
 
 from torch.utils.data import DataLoader