Make tensorflow keras fixes again

requirements.txt

@@ -1,5 +1,4 @@
 streamlit
 numpy
 tensorflow
-keras
 Pillow

src/nets/Loss.py

@@ -1,7 +1,5 @@
-import os
 import tensorflow as tf
-from tf.keras import backend as K
-import numpy as np
+from tensorflow.keras import backend as K
 
 def multi_category_focal_loss2(gamma=2., alpha=1):
     """

src/nets/vgg16.py

@@ -1,7 +1,6 @@
 from tensorflow.keras.layers import Conv2D, Dense, Flatten, Input, MaxPooling2D
 from tensorflow.keras.models import Model        #导入包Conv2D是卷积核 Flatten是展开 Input输入  MaxPooling2D最大卷积核
 
-
 def VGG16(input_shape=None, classes=1000): #def 就是开始定义VGG16的网络
     img_input = Input(shape=input_shape)  # 224, 224, 3
 

src/utils/callbacks.py

@@ -1,6 +1,5 @@
 import os
 
-import tensorflow as tf
 import matplotlib
 matplotlib.use('Agg')
 from matplotlib import pyplot as plt

src/utils/dataloader.py

@@ -4,7 +4,7 @@ from random import shuffle
 import cv2
 import tensorflow as tf
 import numpy as np
-from tf.keras.utils import to_categorical
+from tensorflow.keras.utils import to_categorical
 from PIL import Image
 
 from .utils import cvtColor, preprocess_input