Created by: SaviorD7

Hello! My data reader:

def upload_data(data_dir):

    new_input = []

    for label in labels: 
            path = os.path.join(data_dir, label)
            class_num = np.array([labels.index(label)]).astype('int64')
             #print(class_num)
            for img in tqdm(os.listdir(path)):
                img_arr = Image.open(os.path.join(path,img)).convert('L')
                img_arr = img_arr.resize((150, 150), Image.ANTIALIAS)
                res = np.array(img_arr).reshape( 1, 150, 150).astype(np.float32)
                res = res / 255.0 * 2.0 - 1.0
                data_dict = {}
                data_dict['data'] = res
                data_dict['label'] = class_num
                new_input.append(data_dict)

    return new_input

I use it in trainer :

uploaded_train_data = xray_dataset.upload_data(data_path_train)
uploaded_test_data = xray_dataset.upload_data(data_path_test)


train_data, test_data = xray_dataset.main()

def train_test(train_test_program):
    acc_set = []
    for data in uploaded_test_data:
        acc_np = trainer.exe.run(program=train_test_program,
                                feed={'img': np.array([data['data']]).astype('float32'), 'label': np.array([data['label']]).astype('int64')},
                                fetch_list=["accuracy_0.tmp_0"])
        acc_set.append(float(acc_np[0]))
    acc_val_mean = np.array(acc_set).mean()
    return acc_val_mean

And in train logs i Have next:

2020-09-11 21:31:04 Epoch 1 start train

Test with epoch 1, accuracy: 1.0
2020-09-11 21:31:11 Epoch 2 start train

Test with epoch 2, accuracy: 1.0
2020-09-11 21:31:16 Epoch 3 start train

Test with epoch 3, accuracy: 1.0
2020-09-11 21:31:21 Epoch 4 start train

Test with epoch 4, accuracy: 1.0
2020-09-11 21:31:26 Epoch 5 start train

Test with epoch 5, accuracy: 1.0
2020-09-11 21:31:31 Epoch 6 start train

Test with epoch 6, accuracy: 1.0
2020-09-11 21:31:36 Epoch 7 start train
....

During all training. What is wrong with my feeder now ?