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This repo references the url: https://github.com/amenglong/hand_recognition_cnn to build the hand gestrues dataset ranging from 0 to 9. Moreover, the codes in this repo step up the accuracy to ~92% with a 6 layer Convnet.

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BNAadministrator3/hand_recognition_cnn

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datasets

datasets

 
 

A_imagegen.py

A_imagegen.py

 
 

B2_mydata.py

B2_mydata.py

 
 

B3_jointlearning.py

B3_jointlearning.py

 
 

B4-test.py

B4-test.py

 
 

B5-test.py

B5-test.py

 
 

B_trainBoosting.py

B_trainBoosting.py

 
 

C2_mydataPrediction.py

C2_mydataPrediction.py

 
 

C3_jointdataPrediction.py

C3_jointdataPrediction.py

 
 

C_prediction.py

C_prediction.py

 
 

D_testAugmentor.py

D_testAugmentor.py

 
 

cnn_utils.py

cnn_utils.py

 
 

hand_cnn_model.py

hand_cnn_model.py

 
 

hand_cnn_reco.py

hand_cnn_reco.py

 
 

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This repo references the url: https://github.com/amenglong/hand_recognition_cnn to build the hand gestrues dataset ranging from 0 to 9. Moreover, the codes in this repo step up the accuracy to ~92% with a 6 layer Convnet.

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hand-recognition
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