cnn-facial-landmark
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False prediction with cnn-facial-landmark ( own dataset )
Hello Sir, I have trained my own dataset for eyes and iris detection from scratch, After reached more than 100000 steps , i get this error :
tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: ; No such file or directory So i think maybe is not a influential error , i used tensorfboard to see the graph :
it seems good ( evolution avg loss ) .
But when i tested , i get some bad results as you can see :
Three things may causes this problem :
- False annotation ( i annotated my dataset (300VW using OpenFace )
- Starting from scratch ( pre-trained doesn't work , it causes problem )
- I haven't 3D model for 40 landmarks
What can causes this false prediction?
Can you post some sample files you used for training?
Did you mean .pts files ( annotation ) or what exactly do you talking about?
If yes , this is an exemple of .pts file with 40 points ( points of the iris and the gaze extracted from openface csv output file using a python script ):