--- a
+++ b/dsb2018_topcoders/selim/predict_test.sh
@@ -0,0 +1,31 @@
+#!/usr/bin/env bash
+########## Resnet101 full masks for extension #############
+python pred_test.py \
+--gpu 0 \
+--preprocessing_function caffe \
+--network resnet101_2 \
+--out_masks_folder pred_resnet101_full_masks \
+--out_channels 2 \
+--models_dir nn_models \
+--models best_resnet101_2_fold0.h5 best_resnet101_2_fold1.h5 best_resnet101_2_fold2.h5 best_resnet101_2_fold3.h5
+
+
+########## Densenet169 softmax 2 channels #############
+python pred_test.py \
+--gpu 0 \
+--preprocessing_function torch \
+--network densenet169_softmax \
+--out_masks_folder pred_densenet169_softmax \
+--out_channels 3 \
+--models_dir nn_models \
+--models best_densenet169_softmax_fold0.h5 best_densenet169_softmax_fold1.h5 best_densenet169_softmax_fold2.h5 best_densenet169_softmax_fold3.h5
+
+
+########## Resnet152 sigmoid 2 channels #############
+python pred_test.py \
+--gpu 0 \
+--preprocessing_function caffe \
+--network resnet152_2 \
+--out_masks_folder pred_resnet152 \
+--out_channels 2 \
+--models best_resnet152_2_fold0.h5 best_resnet152_2_fold1.h5 best_resnet152_2_fold2.h5 best_resnet152_2_fold3.h5
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