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from matplotlib import pyplot as plt
import cv2

img = cv2.imread('/Users/mustafa/test.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

plt.imshow(gray)
plt.title('my picture')
plt.show()

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import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten, Input
from keras.layers import Conv2D, MaxPooling2D, UpSampling2D
import matplotlib.pyplot as plt
from keras import backend as K
import numpy as np
from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img

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RequestQueue queue = Volley.newRequestQueue(context);
//for POST requests, only the following line should be changed to 

StringRequest sr = new StringRequest(Request.Method.GET, "http://headers.jsontest.com/",
  new Response.Listener<String>() {
    @Override
    public void onResponse(String response) {
      Log.e("HttpClient", "success! response: " + response.toString());
    }
  },

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/*
 * From fragment to activty:
 */
((YourActivityClassName)getActivity()).yourPublicMethod();

/* 
 * From activity to fragment:
 */
FragmentManager fm = getSupportFragmentManager();
//if you added fragment via layout xml

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//Source: https://github.com/node-opcua/node-opcua/wiki/2.0.0-breaking-changes
const {
  OPCUAClient,
  resolveNodeId,
  AttributeIds,
  ClientSubscription,
  ClientMonitoredItem,
  TimestampsToReturn
} = require("node-opcua");

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# edit jupyter_notebook_config.py 
# https://jupyter-notebook.readthedocs.io/en/latest/config.html

c.NotebookApp.allow_origin = '*' 
c.NotebookApp.ip = '0.0.0.0' #

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# MXNet uses channels_first data format while Tensorflow uses channels_last data format.

img.shape
# (3, 224, 224)

x = np.moveaxis(img, 0, 2)
x.shape
# (224, 224, 3)

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from captcha.image import ImageCaptcha
from scipy import misc
from matplotlib import pyplot as plt
import numpy as np

capgen = ImageCaptcha()

x = np.random.randint(0,99999)

im_bytes=capgen.generate(str(x))

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This sample demonstrates how to handle events when a window is focused or it loses focus.

Bu örnek bir bir pencereye odaklanıldığında veya başka pencere, uygulama, sekmeye odaklanıldığında oluşan olayların kullanımını gösterir.

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package net.aldemir.myapp.camera;

import android.content.Context;
import android.content.res.Configuration;
import android.graphics.Point;
import android.hardware.Camera;
import android.os.Handler;
import android.util.AttributeSet;
import android.util.Log;
import android.view.Display;