ModuleNotFoundError：没有名为“tensorflow.python.platform”的模块导入错误答案

【问题标题】：ModuleNotFoundError: No module named 'tensorflow.python.platform' Import errorModuleNotFoundError：没有名为“tensorflow.python.platform”的模块导入错误
【发布时间】：2020-06-15 05:46:30
【问题描述】：

我正在使用 Keras、Flask 和 Tensorflow。我目前有两个文件，一个用于烧瓶，另一个用于神经网络。

web.py

from flask import Flask, render_template, Response
from camera import VideoCamera
from prediction import NeuralNetwork

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')

def gen(camera):
    model = NeuralNetwork()
    while True:
        frame = camera.get_frame()
        print(model.predict(frame))
        yield (b'--frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')

@app.route('/video_feed')
def video_feed():
    return Response(gen(VideoCamera()),
                    mimetype='multipart/x-mixed-replace; boundary=frame')

if __name__ == '__main__':
    app.run(host='0.0.0.0', debug=True)

predict.py

import numpy as np
from keras.preprocessing.image import img_to_array
from keras.applications import mobilenet
from keras.applications.imagenet_utils import decode_predictions
from PIL import Image

class NeuralNetwork(object):
    def __init__(self):
        self.model = mobilenet.MobileNet(weights='imagenet')

    def predict(self, frame):
        # get the image and convert it into a numpy array and into a format for our model
        img = Image.fromarray(frame, 'RGB')
        img = img.resize((224,224), Image.ANTIALIAS)
        np_image = img_to_array(img)
        image_batch = np.expand_dims(np_image, axis=0)
        processed_image = mobilenet.preprocess_input(image_batch.copy())

        # actual machine learning part
        predictions = self.model.predict(processed_image)
        return decode_predictions(predictions)

我在运行时收到此错误：

 * Serving Flask app "web.py"
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
Using TensorFlow backend.
Usage: flask run [OPTIONS]

Error: While importing "web", an ImportError was raised:

Traceback (most recent call last):
  File "/home/connor/.local/lib/python3.7/site-packages/flask/cli.py", line 240, in locate_app
    __import__(module_name)
  File "/home/connor/programming/python/Automated-Checkout/web.py", line 3, in <module>
    from prediction import NeuralNetwork
  File "/home/connor/programming/python/Automated-Checkout/prediction.py", line 2, in <module>
    from keras.preprocessing.image import img_to_array
  File "/home/connor/.local/lib/python3.7/site-packages/keras/__init__.py", line 3, in <module>
    from . import utils
  File "/home/connor/.local/lib/python3.7/site-packages/keras/utils/__init__.py", line 6, in <module>
    from . import conv_utils
  File "/home/connor/.local/lib/python3.7/site-packages/keras/utils/conv_utils.py", line 9, in <module>
    from .. import backend as K
  File "/home/connor/.local/lib/python3.7/site-packages/keras/backend/__init__.py", line 1, in <module>
    from .load_backend import epsilon
  File "/home/connor/.local/lib/python3.7/site-packages/keras/backend/load_backend.py", line 90, in <module>
    from .tensorflow_backend import *
  File "/home/connor/.local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 5, in <module>
    import tensorflow as tf
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/__init__.py", line 28, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 25, in <module>
    from tensorflow.python.platform import self_check
ModuleNotFoundError: No module named 'tensorflow.python.platform'

我确信 Tensorflow 可以正常工作，并且我能够独立运行该文件。我还尝试从一个小的非 Flask Python 文件中导入该文件并运行它并运行代码。任何帮助将不胜感激，谢谢。

【问题讨论】：

你的目录结构是什么样的？你是在 repo 子文件夹中运行张量流吗？
├── camera.py ├── current-working.py ├── prediction.py ├── pycache │ ├── camera.cpython-37.pyc │ ├── prediction.cpython-37.pyc │ └── web.cpython-37.pyc ├── README.md ├── start.sh ├── 模板 │ └── index.html ├── temp. py └── web.py 我确实在里面运行 tensorflow，它确实可以工作，但是由于某种原因，当我将它与 Flask 结合使用时，它就不行了。
github.com/tensorflow/tensorflow/issues/374 我建议从这里开始
如果您滚动到底部，我实际上已经发表了评论。还忘了补充一点，当我在笔记本电脑上运行它时，它的工作原理是我得到了一个与多线程、Tensorflow 和 Flask 相关的不同错误，这根本没有意义

标签： python python-3.x tensorflow flask keras

【解决方案1】：

由于其他原因，我的脚本要求我使用较旧的 tf 版本。我在 1.15.0 版本中确实遇到了这个错误，但在升级到 1.15.2 版本后它就消失了。所以我认为有一个最佳版本包括tensorflow.pypthon.platform。

【讨论】：

【解决方案2】：

从错误看来，Tensorflow 没有正确安装。

ModuleNotFoundError: No module named 'tensorflow.python.platform'

按照下面提到的说明进行操作

#Install tensorflow using pip virtual env 
$pip install virtualenv
$virtualenv tf_2   # tf_2 is virtual env name
$source tf_2/bin/activate
tf_2 $ pip install tensorflow
tf_2 $ python
>>import tensorflow as tf
>>tf.__version__
2.6.0

【讨论】：