Initial commit.

.idea/workspace.xml

@@ -2,8 +2,7 @@
 <project version="4">
   <component name="ChangeListManager">
     <list default="true" id="5dd22f22-8223-4d55-99f9-57d1e00622d7" name="Default Changelist" comment="Initial commit.">
-      <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
-      <change beforePath="$PROJECT_DIR$/app.py" beforeDir="false" afterPath="$PROJECT_DIR$/app.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/segmenter_model/utils.py" beforeDir="false" afterPath="$PROJECT_DIR$/segmenter_model/utils.py" afterDir="false" />
     </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
@@ -51,7 +50,7 @@
       <option name="number" value="Default" />
       <option name="presentableId" value="Default" />
       <updated>1647350746642</updated>
-      <workItem from="1647350750956" duration="8471000" />
+      <workItem from="1647350750956" duration="8634000" />
     </task>
     <task id="LOCAL-00001" summary="Initial commit.">
       <created>1647352693910</created>
@@ -249,7 +248,14 @@
       <option name="project" value="LOCAL" />
       <updated>1647359368440</updated>
     </task>
-    <option name="localTasksCounter" value="29" />
+    <task id="LOCAL-00029" summary="Initial commit.">
+      <created>1647359422799</created>
+      <option name="number" value="00029" />
+      <option name="presentableId" value="LOCAL-00029" />
+      <option name="project" value="LOCAL" />
+      <updated>1647359422799</updated>
+    </task>
+    <option name="localTasksCounter" value="30" />
     <servers />
   </component>
   <component name="TypeScriptGeneratedFilesManager">

segmenter_model/utils.py

@@ -356,11 +356,7 @@ def inference(
         batch_size,
         decoder_features=False,
         encoder_features=False,
-        save2cpu=False,
         no_upsample=False,
-        debug_file=None,
-        im_rgb=None,
-        channel_first=False
 ):
     C = model.n_cls
     patch_size = model.patch_size
@@ -389,6 +385,7 @@ def inference(
         with torch.no_grad():
             for i in range(0, num_crops, WB):
                 # try:
+                print('Forward crop {}'.format(crops[i: i + WB].shape))
                 seg_maps[i: i + WB] = model.forward(crops[i: i + WB], decoder_features=decoder_features,
                                                     encoder_features=encoder_features,
                                                     no_upsample=no_upsample)