diff --git a/Sports2D/Demo/Config_demo.toml b/Sports2D/Demo/Config_demo.toml
index 984f427..f94c522 100644
--- a/Sports2D/Demo/Config_demo.toml
+++ b/Sports2D/Demo/Config_demo.toml
@@ -24,7 +24,7 @@ pose_algo = 'BLAZEPOSE' # 'OPENPOSE' or 'BLAZEPOSE'
 	# Install OpenPose from https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/installation/0_index.md
 	# BODY_25 is standard, BODY_25B is more accurate but requires downloading the model from 
 	# https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/blob/master/experimental_models/README.md
-	openpose_model = 'BODY_25B' 
+	openpose_model = 'BODY_25' 
 	
 	# Installation path of openpose (between single quotes) 
 	openpose_path = 'D:\softs\openpose-1.6.0-binaries-win64-gpu-flir-3d_recommended\openpose'
diff --git a/Sports2D/detect_pose.py b/Sports2D/detect_pose.py
index 993a13b..f4bde3b 100644
--- a/Sports2D/detect_pose.py
+++ b/Sports2D/detect_pose.py
@@ -285,6 +285,7 @@ def json_to_csv(json_path, frame_rate, pose_model, interp_gap_smaller_than, filt
     keypoints_names = [node.name for _, _, node in RenderTree(model) if node.id!=None]
     keypoints_names_rearranged = [y for x,y in sorted(zip(keypoints_ids,keypoints_names))]
     keypoints_nb = len(keypoints_ids)
+    print(keypoints_nb)
 
     # Retrieve coordinates
     logging.info('Sorting people across frames.')
@@ -301,8 +302,12 @@ def json_to_csv(json_path, frame_rate, pose_model, interp_gap_smaller_than, filt
             keypt = np.array(keypt)
             # Make sure keypt is as large as the number of persons that need to be detected
             if len(keypt) < nb_persons_to_detect:
-                empty_keypt_to_add = np.concatenate( [[ np.zeros([25,3]) ]] * (nb_persons_to_detect-len(keypt)) )
-                keypt = [np.concatenate([keypt, empty_keypt_to_add]) if keypt!=[] else empty_keypt_to_add][0]
+                # print('\n')
+                # print(nb_persons_to_detect)
+                # print(len(keypt))
+                # print(repr(keypt))
+                empty_keypt_to_add = np.concatenate( [[ np.zeros([keypoints_nb,3]) ]] * (nb_persons_to_detect-len(keypt)) )
+                keypt = [np.concatenate([keypt, empty_keypt_to_add]) if list(keypt)!=[] else empty_keypt_to_add][0]
             if 'keyptpre' not in locals():
                 keyptpre = keypt
             # Associate persons across frames
diff --git a/setup.cfg b/setup.cfg
index 70a8469..14129aa 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,6 +1,6 @@
 [metadata]
 name = sports2d
-version = 0.2.5
+version = 0.2.6
 author = David Pagnon
 author_email = contact@david-pagnon.com
 description = Detect pose and compute 2D joint angles from a video.