diff --git a/aaa_helpers.txt b/aaa_helpers.txt
index aebd959..92e8934 100644
--- a/aaa_helpers.txt
+++ b/aaa_helpers.txt
@@ -1,4 +1,5 @@
 nohup python cvae_pyramid.py --name="lhunor_pyr_abl_32_64_e2e_r3" > nohup/review/pyr_abl_32_64_e2e_r3.out 2>&1 &
+nohup python evaluate_ae_pyramid.py --name evaluate_pyr_abl_32_64_e2e_r3 > nohup/evaluate/pyr_abl_32_64_e2e_r3.out 2>&1 &
 
 
 one final convolutional layer for smoothing, on the final coordinates
diff --git a/evaluate_ae_pyramid.py b/evaluate_ae_pyramid.py
index 730e000..283477c 100644
--- a/evaluate_ae_pyramid.py
+++ b/evaluate_ae_pyramid.py
@@ -1,6 +1,6 @@
 import os
 import sys
-from configs.config_abl_2_pyr_32_64_128_256_512 import config
+from configs.config_abl_pyr_32 import config
 
 os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
 import tensorflow as tf
@@ -97,7 +97,7 @@ if __name__ == '__main__':
     ids = [id.split('_')[0] for id in ids]
     ids = set(ids)
 
-    iteration = '50000'
+    iteration = '200000'
 
     load_model(model, 'checkpoints/' + checkpoint_name, iteration=iteration)
     # load_model(model, 'checkpoints/' + 'abl_all_120k')