Code to calculate dice score

import numpy as np
np.random.seed(0)
true = np.random.rand(10, 5, 5, 4)>0.5
pred = np.random.rand(10, 5, 5, 4)>0.5

def single_dice_coef(y_true, y_pred_bin):
    # shape of y_true and y_pred_bin: (height, width)
    intersection = np.sum(y_true * y_pred_bin)
    if (np.sum(y_true)==0) and (np.sum(y_pred_bin)==0):
        return 1
    return (2*intersection) / (np.sum(y_true) + np.sum(y_pred_bin))

def mean_dice_coef(y_true, y_pred_bin):
    # shape of y_true and y_pred_bin: (n_samples, height, width, n_channels)
    batch_size = y_true.shape[0]
    channel_num = y_true.shape[-1]
    mean_dice_channel = 0.
    for i in range(batch_size):
        for j in range(channel_num):
            channel_dice = single_dice_coef(y_true[i, :, :, j], y_pred_bin[i, :, :, j])
            mean_dice_channel += channel_dice/(channel_num*batch_size)
    return mean_dice_channel

def dice_coef2(y_true, y_pred):
    y_true_f = y_true.flatten()
    y_pred_f = y_pred.flatten()
    union = np.sum(y_true_f) + np.sum(y_pred_f)
    if union==0: return 1
    intersection = np.sum(y_true_f * y_pred_f)
    return 2. * intersection / union

print(mean_dice_coef(true, pred))
print(dice_coef2(true, pred))

# 0.4884357140842496
# 0.499001996007984

Source: kaggle.com

Similar codes

19 votes106 views5 answers
Replace key of dictionary python
Python
0 vote106 views1 answer
Difference between methods and attributes
Python
0 vote102 views1 answer
Plotting keras model trainning history
Python
0 vote103 views1 answer
Convert fisheye video to normal python
Python
1 vote100 views2 answers
Python error get line
Python
0 vote101 views1 answer
Pandas convert string to numpy array
Python
0 vote96 views2 answers
Get the creating date of files ftp python
Python
14 votes93 views6 answers
Python if condition
Python
1 vote108 views1 answer
What happens when you use the built-in function any() on a list?
Python
1 vote88 views2 answers
Matplotlib display graph on jupyter notebook
Python