jeremyjordan

def soft_dice_loss(y_true, y_pred, epsilon=1e-6): 
    ''' 
    Soft dice loss calculation for arbitrary batch size, number of classes, and number of spatial dimensions.
    Assumes the `channels_last` format.
  
    # Arguments
        y_true: b x X x Y( x Z...) x c One hot encoding of ground truth
        y_pred: b x X x Y( x Z...) x c Network output, must sum to 1 over c channel (such as after softmax) 
        epsilon: Used for numerical stability to avoid divide by zero errors
    

Konfekt

# From http://wiki.free-unices.org/doku.php/config/mutt/new_mailcap
application/vnd.oasis.opendocument.text;                                   mutt_bgrun okular               %s; test=test -n "$DISPLAY"
application/vnd.oasis.opendocument.text;                                   odt2txt %s | cat --squeeze-blank; copiousoutput
# application/vnd.oasis.opendocument.text;                                   pandoc --from=odt --to=plain %s | cat --squeeze-blank ; copiousoutput
# application/vnd.oasis.opendocument.text;                                   libreoffice --cat %s | cat --squeeze-blank ; copiousoutput

application/vnd.oasis.opendocument.spreadsheet;                           mutt_bgrun libreoffice --nologo %s; test=test -n "$DISPLAY"
application/vnd.oasis.opendocument.spreadsheet;                            odt2txt %s | cat --squeeze-blank; copiousoutput
# application/vnd.oasis.opendocument.spreadsheet;                            libreoffice --cat %s | cat --squeeze-blank ; copiousoutput