utilities.py error (fixed!)

Hi Sachin - there's an error in utilities.py when running the segmentation model.

All you need to fix it is to add these lines:

y_true_pos = tf.cast(y_true_pos,'float32')
y_pred_pos = tf.cast(y_pred_pos,'float32')

at lines 208 and 209 in tversky, so it looks like:

def tversky(y_true, y_pred, smooth = 1e-6): y_true_pos = K.flatten(y_true) y_pred_pos = K.flatten(y_pred) y_true_pos = tf.cast(y_true_pos,'float32') y_pred_pos = tf.cast(y_pred_pos,'float32') true_pos = K.sum(y_true_pos y_pred_pos) false_neg = K.sum(y_true_pos (1-y_pred_pos)) false_pos = K.sum((1-y_true_pos)y_pred_pos) alpha = 0.7 return (true_pos + smooth)/(true_pos + alphafalse_neg + (1-alpha)*false_pos + smooth)

Thanks! :)

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On Fri, 26 Apr 2024 at 12:49, Govindraj Singh Virdee < @.***> wrote:

Hi Sachin - there's an error in utilities.py when running the segmentation model.

All you need to fix it is to add these lines:

y_true_pos = tf.cast(y_true_pos,'float32') y_pred_pos = tf.cast(y_pred_pos,'float32')

at lines 208 and 209 in tversky, so it looks like:

def tversky(y_true, y_pred, smooth = 1e-6): y_true_pos = K.flatten(y_true) y_pred_pos = K.flatten(y_pred) y_true_pos = tf.cast(y_true_pos,'float32') y_pred_pos = tf.cast(y_pred_pos,'float32') true_pos = K.sum(y_true_pos y_pred_pos) false_neg = K.sum(y_true_pos (1-y_pred_pos)) false_pos = K.sum((1-y_true_pos)

y_pred_pos) alpha = 0.7 return (true_pos + smooth)/(true_pos + alphafalse_neg

(1-alpha)*false_pos + smooth)

Thanks! :)

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utilities.py error (fixed!) #1