Functions — github.com/YaoleiQi/Examinee-Examiner-Network

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Functions37 in github.com/YaoleiQi/Examinee-Examiner-Network

⨍ Functions 37 ◇ Types & classes 12

↓ 9 callersFunctionreshape_img

(image, z, y, x)

code/DataLoader_txt.py:112

↓ 6 callersFunctionreshape_img

(image, z, y, x)

code/EEE_Learning.py:547

↓ 6 callersMethodupdate

(self, val, n=1)

code/EEE_Learning.py:28

↓ 3 callersMethod__init__

code/loss.py:10

↓ 3 callersFunctionread_file_from_txt

code/DataLoader_txt.py:11

↓ 3 callersFunctionread_file_from_txt

code/EEE_Learning.py:195

↓ 2 callersMethod__init__

(self, n_channels, n_classes, n_h=10, branch=4)

code/E1_Net.py:43

↓ 2 callersMethod__init__

(self, n_channels, n_classes, n_h=10, branch=4)

code/E2_Net.py:41

↓ 2 callersFunctionpredict

(model, save_path, shape, img_path, num_classes)

code/EEE_Learning.py:202

↓ 2 callersFunctionpredict_all

(model1, save_path, shape, img_path, num_classes)

code/EEE_Learning.py:373

↓ 1 callersFunctionDice

(label_dir, pred_dir)

code/EEE_Learning.py:553

↓ 1 callersMethod__len__

code/DataLoader_txt.py:105

↓ 1 callersMethodreset

code/EEE_Learning.py:22

↓ 1 callersFunctiontrain_epoch

(model1, model2, loader1, loader2, optimizer1, optimizer2, criterion1, criterion2, epoch, n_epochs)

code/EEE_Learning.py:34

Method__getitem__

code/DataLoader_txt.py:31

code/loss.py:18

code/loss.py:27

code/loss.py:42

(self, in_ch, out_ch)

code/E1_Net.py:8

(self, in_ch, out_ch)

code/E1_Net.py:25

(self, in_ch, out_ch)

code/E2_Net.py:7

(self, in_ch, out_ch)

code/E2_Net.py:24

(self, i_path, l_path, m_path, shape)

code/DataLoader_txt.py:18

code/EEE_Learning.py:19

(self, y_true, y_pred)

code/loss.py:13

(self, y_true, y_pred)

code/loss.py:21

(self, y_true, y_pred, alpha=0.4)

code/loss.py:30

(self, y_true, y_pred, alpha=0.4)

code/loss.py:45

code/E1_Net.py:16

code/E1_Net.py:34

code/E1_Net.py:70

code/E2_Net.py:16

code/E2_Net.py:33

code/E2_Net.py:61

Functionis_image3d_file

code/EEE_Learning.py:544

Functionis_image_file

code/DataLoader_txt.py:8

Functiontrain_net

Here we provide the trained parameters to facilitate testing.

code/EEE_Learning.py:124