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Kaiseem · May 25, 2023 · 81cac2f · 81cac2f
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commit 81cac2f
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diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/PointNu-Net.iml b/.idea/PointNu-Net.iml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/configs/consep_notype_large.yaml b/configs/consep_notype_large.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/consep_notype_middle.yaml b/configs/consep_notype_middle.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 4
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/consep_notype_tiny.yaml b/configs/consep_notype_tiny.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 4
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/consep_type_large.yaml b/configs/consep_type_large.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 5
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/consep_type_middle.yaml b/configs/consep_type_middle.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 4
   kernel_size: 1
   num_classes: 5
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/consep_type_tiny.yaml b/configs/consep_type_tiny.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 4
   kernel_size: 1
   num_classes: 5
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/kumar_notype_large.yaml b/configs/kumar_notype_large.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/kumar_resnet.yaml b/configs/kumar_resnet.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/kumar_resnext101dcn.yaml b/configs/kumar_resnext101dcn.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 
 train:

diff --git a/configs/kumar_swin.yaml b/configs/kumar_swin.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   kernel_size: 1
   num_classes: 2
+  output_stride: 4
 
 train:
   max_epoch: 100                # maximum number of training iterations

diff --git a/configs/monuseg.yaml b/configs/monuseg.yaml
@@ -20,6 +20,8 @@ model:
   ins_out_channels: 256
   stacked_convs: 7
   num_classes: 2
+  kernel_size: 1
+  output_stride: 4
 
 
 train:

diff --git a/configs/pannuke_resnext101dcn.yaml b/configs/pannuke_resnext101dcn.yaml
@@ -21,6 +21,7 @@ model:
   stacked_convs: 7
   num_classes: 6
   kernel_size: 1
+  output_stride: 4
 
 
 train: