update tutorial

Author: Laicheng0830

examples/app_tutorials/tutorial_human_3dpose_estimation_LCN.py

@@ -2,15 +2,15 @@
 # -*- coding: utf-8 -*-
 
 from tensorlayer.app.human_pose_estimation.common import DataReader, visualize_3D_pose, flip_data
-from tensorlayer.app.human_pose_estimation.LCN import CGCNN
+from tensorlayer.app import computer_vision
 import numpy as np
 
 datareader = DataReader()
 train_data, test_data = datareader.read_2d(which='scale', mode='gt', read_confidence=False)
 train_labels, test_labels = datareader.read_3d(which='scale', mode='gt')
-network = CGCNN(pretrained=True)
+network = computer_vision.human_pose_estimation('3D-pose')
 test_data = flip_data(test_data)
-result = network(test_data, is_train=False)
+result = network(test_data)
 result = datareader.denormalize3D(np.asarray(result), which='scale')
 test_data = datareader.denormalize2D(test_data, which='scale')
 test_labels = datareader.denormalize3D(test_labels, which='scale')

tensorlayer/app/computer_vision.py

@@ -102,7 +102,7 @@ def __init__(self, model_name='3D-pose'):
 
     def __call__(self, input_data):
         if self.model_name == '3D-pose':
-            output = self.model(input_data)
+            output = self.model(input_data, is_train=False)
         else:
             raise NotImplementedError