I am a newbie research Deeplearning. I load a saved model with tensorflow and made a API with flask but I get error 'Container localhost does not exist.' when I predict, please help me fix it. Thank you.
tensorflow version 1.13.1
keras version 2.2.4
flask version 1.0.3
I run it by command 'python app.py'
This is my code:
from flask import Flask, request
from tensorflow.python.keras.models import load_model
import numpy as np
import tensorflow as tf
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.preprocessing.image import img_to_array
from tensorflow.python.keras.preprocessing.image import load_img
from PIL import Image
import ioapp = Flask(__name__)
model = None
labels = ['AchatinaFulice', 'Riptortus', 'SquashBug']def load_model_insect():global modelmodel = load_model('insect2.h5')global graphgraph = tf.get_default_graph()def predict(image):image = image.resize((200, 200))image = img_to_array(image)image = np.expand_dims(image, 0)image = imagenet_utils.preprocess_input(image)image = image / 255pred = np.argmax(model.predict(image))return labels[pred]@app.route('/')
def upload():return '''<html><body><form action = "http://localhost:5000/uploader" method = "POST"enctype = "multipart/form-data"><input type = "file" name = "file" /><input type = "submit"/></form></body>
</html>'''@app.route('/uploader', methods=['GET', 'POST'])
def upload_file():if request.method == 'POST':image = request.files["file"].read()image = Image.open(io.BytesIO(image))with graph.as_default():label = predict(image)return labelif __name__ == "__main__":load_model_insect()app.run(host='localhost')The full log
C:\ProgramData\Anaconda3\python.exe "C:\Program Files\JetBrains\PyCharm 2019.1.3\helpers\pydev\pydevconsole.py" --mode=client --port=53173
import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['C:\\Users\\hoho303\\PycharmProjects\\Insect', 'C:/Users/hoho303/PycharmProjects/Insect'])
Python 3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.4.0 -- An enhanced Interactive Python. Type '?' for help.
PyDev console: using IPython 7.4.0
Python 3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)] on win32
runfile('C:/Users/hoho303/PycharmProjects/Insect/app.py', wdir='C:/Users/hoho303/PycharmProjects/Insect')
WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\core.py:143: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
2019-06-09 17:53:44.811258: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
WARNING:tensorflow:No training configuration found in save file: the model was *not* compiled. Compile it manually.* Serving Flask app "app" (lazy loading)* Environment: productionWARNING: Do not use the development server in a production environment.Use a production WSGI server instead.* Debug mode: off* Running on http://localhost:5000/ (Press CTRL+C to quit)
127.0.0.1 - - [09/Jun/2019 17:53:54] "GET / HTTP/1.1" 200 -
[2019-06-09 17:54:02,496] ERROR in app: Exception on /uploader [POST]
Traceback (most recent call last):File "C:\ProgramData\Anaconda3\lib\site-packages\flask\app.py", line 2292, in wsgi_appresponse = self.full_dispatch_request()File "C:\ProgramData\Anaconda3\lib\site-packages\flask\app.py", line 1815, in full_dispatch_requestrv = self.handle_user_exception(e)File "C:\ProgramData\Anaconda3\lib\site-packages\flask\app.py", line 1718, in handle_user_exceptionreraise(exc_type, exc_value, tb)File "C:\ProgramData\Anaconda3\lib\site-packages\flask\_compat.py", line 35, in reraiseraise valueFile "C:\ProgramData\Anaconda3\lib\site-packages\flask\app.py", line 1813, in full_dispatch_requestrv = self.dispatch_request()File "C:\ProgramData\Anaconda3\lib\site-packages\flask\app.py", line 1799, in dispatch_requestreturn self.view_functions[rule.endpoint](**req.view_args)File "C:/Users/hoho303/PycharmProjects/Insect/app.py", line 68, in upload_filepred = np.argmax(model.predict(image))File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1113, in predictself, x, batch_size=batch_size, verbose=verbose, steps=steps)File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training_arrays.py", line 329, in model_iterationbatch_outs = f(ins_batch)File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\backend.py", line 3076, in __call__run_metadata=self.run_metadata)File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__run_metadata_ptr)File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: Error while reading resource variable dense_1/bias from Container: localhost. This could mean that the variable was uninitialized. Not found: Container localhost does not exist. (Could not find resource: localhost/dense_1/bias)[[{{node dense_1/BiasAdd/ReadVariableOp}}]]