没有名称＆＃x27; tensorflow.compat＆＃x27;

Question

我正在尝试使用 Thotable Machine网站：

from keras.models import load_model
from PIL import Image, ImageOps
import numpy as np

# Load the model
model = load_model('keras_model.h5')

# Create the array of the right shape to feed into the keras model
# The 'length' or number of images you can put into the array is
# determined by the first position in the shape tuple, in this case 1.
data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
# Replace this with the path to your image
image = Image.open('<IMAGE_PATH>')
#resize the image to a 224x224 with the same strategy as in TM2:
#resizing the image to be at least 224x224 and then cropping from the center
size = (224, 224)
image = ImageOps.fit(image, size, Image.ANTIALIAS)

#turn the image into a numpy array
image_array = np.asarray(image)
# Normalize the image
normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
# Load the image into the array
data[0] = normalized_image_array

# run the inference
prediction = model.predict(data)
print(prediction)

但是运行代码时，我会收到以下错误： modulenotfoundError：no模块名为'tensorflow.compat'

我尝试在两台单独的计算机上运行代码，卸载和重新安装tensorflow，pip，keras，似乎没有任何帮助。

我正在使用Python 3.9和Tensorflow 2.8.0

Answer 1

这只是我发生在我身上，但我弄清楚了。您的.py脚本文件名与TensorFlow库的一个文件之一相同。您可以重命名您的Python脚本，它可以正常工作。

Answer 2

您正在使用哪个版本的TensorFlow？在终端上使用此命令查看您正在使用的版本：

python -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 2
python3 -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 3

或者

>>> import tensorflow as tf
>>> print(tf.__version__)
2.4.1

尝试安装TensorFlow == 1.15

pip install tensorflow==1.15
import tensorflow.compat.v2 as tf

Answer 3

您可以将以下代码而不是导入TensorFlow作为TF：

from tensorflow import compat as ttf
tf=ttf.v1