[GitHub] MyraBaba commented on issue #12869: Python trained model gives different features set in C++

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MyraBaba commented on issue #12869: Python trained model gives different features set in C++
URL: https://github.com/apache/incubator-mxnet/issues/12869#issuecomment-431568530
 
 
   Hi
   @leleamol 
   
   System is Mac os X and also ubuntu 18
   build mxnet with cpp support
   
   We want to use Mxnet in our all production.
   
   We just stuck in first attemp :)
   
   https://github.com/deepinsight/insightface/blob/master/deploy/test.py this is the our first test.
   
   We can extract  feature in pyhton.
   
   We tried to use predict-cpp api to use model and extract future with same model above first message .
   
   c++ image-classification-predict-cpp we put same model same picture in the above repo Tom-hanks.
   
   it gives different outpu (512D but different float numbers).
   
   Clearly we are missing something because we are new to mxnet .
   
   Basically ; We want to this in c++ as  in python  and want to get same features: 
   
   img = cv2.imread('Tom_Hanks_54745.png')
   img = cv2.resize(img , (112,112))
   
   img = model.get_input(img)
   f2 = model.get_feature(img)
   dist = np.sum(np.square(f1-f2))
   sim = np.dot(f1, f2.T)
   
   Best...
   
   

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