vobecant commited on
Commit
4eed812
1 Parent(s): d4c3a41

Initial commit.

Browse files
Files changed (2) hide show
  1. .idea/workspace.xml +9 -2
  2. app.py +6 -0
.idea/workspace.xml CHANGED
@@ -50,7 +50,7 @@
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  <option name="number" value="Default" />
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  <option name="presentableId" value="Default" />
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  <updated>1647350746642</updated>
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- <workItem from="1647350750956" duration="8037000" />
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  </task>
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  <task id="LOCAL-00001" summary="Initial commit.">
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  <created>1647352693910</created>
@@ -220,7 +220,14 @@
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  <option name="project" value="LOCAL" />
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  <updated>1647358886682</updated>
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  </task>
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- <option name="localTasksCounter" value="25" />
 
 
 
 
 
 
 
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  <servers />
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  </component>
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  <component name="TypeScriptGeneratedFilesManager">
 
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  <option name="number" value="Default" />
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  <option name="presentableId" value="Default" />
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  <updated>1647350746642</updated>
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+ <workItem from="1647350750956" duration="8171000" />
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  </task>
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  <task id="LOCAL-00001" summary="Initial commit.">
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  <created>1647352693910</created>
 
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  <option name="project" value="LOCAL" />
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  <updated>1647358886682</updated>
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  </task>
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+ <task id="LOCAL-00025" summary="Initial commit.">
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+ <created>1647358970013</created>
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+ <option name="number" value="00025" />
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+ <option name="presentableId" value="LOCAL-00025" />
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+ <option name="project" value="LOCAL" />
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+ <updated>1647358970013</updated>
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+ </task>
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+ <option name="localTasksCounter" value="26" />
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  <servers />
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  </component>
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  <component name="TypeScriptGeneratedFilesManager">
app.py CHANGED
@@ -134,12 +134,18 @@ def predict(input_img):
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  input_img = transform(input_img)
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  input_img = torch.unsqueeze(input_img, 0)
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  with torch.no_grad():
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  segmentation = segment_segmenter(input_img, model, window_size, window_stride).squeeze().detach()
 
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  segmentation_remap = remap(segmentation)
 
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  drawing_pseudo = colorize_one(segmentation_remap)
 
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  drawing_cs = map2cs(segmentation_remap)
 
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  # drawing_pseudo = transforms.ToPILImage()(drawing_pseudo)
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  drawing_cs = transforms.ToPILImage()(drawing_cs)
 
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  input_img = transform(input_img)
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  input_img = torch.unsqueeze(input_img, 0)
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+ print('Loaded and prepaded image.')
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+
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  with torch.no_grad():
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  segmentation = segment_segmenter(input_img, model, window_size, window_stride).squeeze().detach()
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+ print('Segmented image.')
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  segmentation_remap = remap(segmentation)
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+ print('Remapped image.')
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  drawing_pseudo = colorize_one(segmentation_remap)
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+ print('Pseudo colors done.')
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  drawing_cs = map2cs(segmentation_remap)
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+ print('CS colors done.')
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  # drawing_pseudo = transforms.ToPILImage()(drawing_pseudo)
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  drawing_cs = transforms.ToPILImage()(drawing_cs)