csorgod

import axios from 'axios';
import Raven from 'raven-js';

const getClient = (baseUrl = null) => {
    const opt = {
        baseURL: baseUrl,
        crossdomain: true
    };

    opt.headers = {

csorgod

import os
import cv2
import random

cap = cv2.VideoCapture(0)

cat_cascade = cv2.CascadeClassifier('haarcascade_frontalcatface.xml')
cv2.namedWindow('img')
 
while True:

csorgod

from tensorflow.keras.models import Sequential
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense, Conv2D, MaxPooling2D

model = Sequential()

model.add(Conv2D(filters = 32, kernel_size = (3, 3), input_shape = image_shape, activation = 'relu'))
model.add(MaxPooling2D(pool_size = (2, 2)))

model.add(Conv2D(filters = 32, kernel_size = (3, 3), input_shape = image_shape, activation = 'relu'))